100+ datasets found
  1. Dataset for Mobile Phone Sensing Based Fall Detection

    • figshare.com
    • search.datacite.org
    Updated Jan 19, 2016
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    Alfred Wertner; Viktoria Pammer; Paul Czech (2016). Dataset for Mobile Phone Sensing Based Fall Detection [Dataset]. http://doi.org/10.6084/m9.figshare.1444405.v1
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    application/x-sqlite3Available download formats
    Dataset updated
    Jan 19, 2016
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Alfred Wertner; Viktoria Pammer; Paul Czech
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This is a labelled dataset of mobile phone integrated accelerometer and gyroscope sensor data, in which falls and activities of daily life (ADL) were simulated as realistically as possible by martial artists. 5 different mobile phone devices were used for the recordings:Samsung Galaxy S4Samsumg Galaxy S5 MiniSony Z3Google Nexus 4Google Nexus 5Sampling Frequency: 5Hz, for both accelerometer and gyroscope sensors Simulation of falls and ADLWe recorded eight simulations, seven incorporating a fall and one simulation with ADL. The simulations were performed by five martial artists in parallel. Each simulation was repeated five times. The simulations were repeated with a second group of martial artists.Each martial artist was equipped with a belt bag in which the mobile device was put into. Dataset Content13 TablesDEVICE_ALL_ACCELERATION ... acceleration data of all devicesDEVICE_ALL_ORIENTATION ... orientation data of all devicesDEVICE_{modelname}_ACCELERATION ... acceleration data of a single deviceDEVICE_{modelname}_ORIENTATION ... orientation data of a single deviceMANUAL_LABELS ... manually labelled activities DatatypesAcceleration is stored as a three dimensional vector indicating acceleration along each device axis, not including gravity. All values have units of m/s^2. Addtionally, the total acceleration from the vector is stored. Formula: squared root of (x^2 + y^2 + z^2) Orientation is stored as three dimensional vector of angles azimuth, pitch and roll. All values are angles in degrees. Azimuth, angle between the magnetic north direction and the y-axis, around the z-axis (0 to 359). 0=North, 90=East, 180=South, 270=WestPitch, rotation around x-axis (-180 to 180), with positive values when the z-axis moves toward the y-axis.Roll, rotation around y-axis (-90 to 90), with positive values when the x-axis moves toward the z-axis.Note: This definition is different from yaw, pitch and roll used in aviation where the X axis is along the long side of the plane (tail to nose). Timestamps are in milliseconds (unix epoch time). Stats159300 acceleration records159300 orientation records492 labels~ 6 six hours of fall simulations~ 4 hours of ADL simulations ACKNOWLEDGEMENTS The Knowledge Technologies Institute is part of the Faculty of Computer Science and Biomedical Engineering at the Graz University of Technology. The Know-Center is funded within the Austrian COMET Program under the auspices of the Austrian Ministry of Transport, Innovation and Technology, the Austrian Ministry of Economics and Labor and by the State of Styria. COMET is managed by the Austrian Research Promotion Agency FFG. The DALIA project (AAL-2012-5-249) is co-financed under the Ambient Assisted Living Joint Programme of the European Commission (www.aal-europe.eu) and the National Funding Agencies of Austria, Belgium, Netherlands and Switzerland. The authors also wish to thank the martial artists of the Ninpo Bujutsu Club Graz, for simulating so many falls.

  2. Inequality in Europe: inability to make ends in European Union 2010-2024

    • statista.com
    Updated Jul 24, 2025
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    Statista (2025). Inequality in Europe: inability to make ends in European Union 2010-2024 [Dataset]. https://www.statista.com/statistics/1416665/inequality-in-europe-ability-to-make-ends-meet/
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    Dataset updated
    Jul 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe, European Union
    Description

    The share of people unable to make ends meet - defined as not being able to afford essential goods and services which enable a decent quality of life - in Europe has fallen consistently over the past decade. This is true for both those falling below the 'at-risk-of-poverty' threhold and for those above it. People above 60 percent of median income have seen their risk fall by almost half since 2013, while those below the threshold saw their risk fall by around a third. As of 2024, around a fifth of people who are below the at-risk-of-poverty threshold could not afford essential goods and services.

  3. A

    Automatic Fall Detection Systems Report

    • promarketreports.com
    doc, pdf, ppt
    Updated May 2, 2025
    + more versions
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    Pro Market Reports (2025). Automatic Fall Detection Systems Report [Dataset]. https://www.promarketreports.com/reports/automatic-fall-detection-systems-208692
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global Automatic Fall Detection Systems market is experiencing robust growth, driven by an aging population, increasing prevalence of chronic diseases leading to falls, and rising demand for independent living solutions. The market, valued at approximately $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant expansion is fueled by technological advancements in sensor technology, improved accuracy and reliability of fall detection algorithms, and the increasing integration of these systems with telehealth platforms. Growth is further propelled by government initiatives promoting elderly care and the rising adoption of smart home technologies. Market segments like GPS-based systems and applications in home care settings are witnessing particularly strong growth, driven by their convenience and affordability. While the initial investment cost may act as a restraint, especially for individuals, the long-term benefits in terms of reduced healthcare costs and improved quality of life are proving to be compelling factors. Key players in the market, including Koninklijke Philips, Tunstall, ADT Inc., and others, are investing heavily in research and development to enhance system accuracy, functionality, and user experience. Geographic regions like North America and Europe currently hold significant market share, but the Asia-Pacific region is poised for rapid expansion, driven by rising disposable incomes and increasing awareness of fall-related risks within these growing economies. The ongoing trend towards miniaturization and improved battery life is also contributing to market growth, making fall detection systems more accessible and user-friendly. Competitive pressures are driving innovation and the development of more sophisticated systems offering features such as advanced analytics, remote monitoring, and automated emergency response. This in-depth report provides a comprehensive overview of the rapidly expanding Automatic Fall Detection Systems (AFDS) market, projected to reach a valuation exceeding $2.5 billion by 2028. We analyze market dynamics, key players, and future growth trajectories, providing crucial insights for businesses, investors, and healthcare professionals. This report leverages extensive primary and secondary research to offer actionable intelligence on this critical sector in senior care and healthcare technology.

  4. c

    The global Fall Prevention Monitor market size will be USD 461.5 million in...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
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    Cognitive Market Research, The global Fall Prevention Monitor market size will be USD 461.5 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/fall-prevention-monitor-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Fall Prevention Monitor market size was USD 461.5 million in 2024. It will expand at a compound annual growth rate (CAGR) of 8.00% from 2024 to 2031.

    North America held the major market share for more than 40% of the global revenue with a market size of USD 184.60 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.2% from 2024 to 2031.
    Europe accounted for a market share of over 30% of the global revenue with a market size of USD 138.45 million.
    Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 106.15 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.0% from 2024 to 2031.
    Latin America had a market share of more than 5% of the global revenue with a market size of USD 23.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.4% from 2024 to 2031.
    Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 9.23 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.7% from 2024 to 2031.
    The offline distribution channel is the dominant segment. This category includes sales through traditional retail stores, pharmacies, and medical supply shops, where consumers can physically examine products before making a purchase
    

    Market Dynamics of Fall Prevention Monitor Market

    Key Drivers for Fall Prevention Monitor Market

    Rising Aging Population and Increased Fall Risks to Boost Market Growth

    One of the primary drivers in the Fall Prevention Monitor market is the aging global population, particularly in regions like North America, Europe, and parts of Asia-Pacific. With more people entering advanced age brackets, the incidence of falls has risen sharply, posing a critical health risk and leading to increased hospitalizations and extended care needs. Falls are a major cause of injury among older adults, contributing to bone fractures, traumatic brain injuries, and other complications. As healthcare providers and caregivers seek solutions to mitigate these risks, demand for fall prevention monitors has surged. These systems are designed to detect falls in real-time, alerting caregivers promptly, which can reduce response times and minimize fall-related injuries. For instance, In July 2024, Gamgee, an Amsterdam-based tech company, launched its Wi-Fi Fall Protection system, an AI-powered and advanced Wi-Fi fall detection system for elderly care. This innovative system enhances the lives of seniors by offering instant alerts to family members and caregivers through an app

    Advancements in Smart Technology for Predictive Fall Detection to Drive Market Growth

    Another significant driver in the Fall Prevention Monitor market is the advancement of smart technologies, including artificial intelligence (AI) and Internet of Things (IoT) integration, which are transforming traditional fall detection methods into predictive and proactive systems. Modern fall prevention monitors can now analyze patterns in movement and behavior, anticipating potential falls before they happen, and providing alerts to caregivers or healthcare staff. These advanced systems use machine learning algorithms to learn and adapt to individual user behaviors, making them more accurate over time.

    Restraint Factor for the Fall Prevention Monitor Market

    High Initial Costs of Fall Prevention Monitors, will Limit Market Growth

    A key restraint in the Fall Prevention Monitor market is the high initial costs associated with advanced monitoring systems, which often limits their adoption across healthcare facilities and personal care environments. Many high-tech fall prevention monitors, especially those integrated with AI and IoT capabilities, come with a significant upfront investment that can be prohibitive for smaller hospitals, clinics, and home care providers. Although these devices offer long-term benefits in reducing fall incidents and improving patient outcomes, budget constraints remain a barrier, especially in regions where healthcare funding is limited. This financial challenge can slow market growth, as organizations may opt for traditional, less expensive monitoring methods despite the advantages of newer technology.

    Impact of Covid-19 on the Fall Prevention Monitor Market

    The COVID-19 pandemic had a complex impact on the Fall Prevention Monitor market. Initially, th...

  5. ASSIST-IoT Multimodal Fall Detection Dataset

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Sep 14, 2023
    + more versions
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    Anastasiya Danilenka; Anastasiya Danilenka; Piotr Sowiński; Piotr Sowiński; Monika Kobus; Monika Kobus; Anna Dąbrowska; Anna Dąbrowska; Kajetan Rachwał; Kajetan Rachwał; Karolina Bogacka; Karolina Bogacka; Krzysztof Baszczyński; Krzysztof Baszczyński (2023). ASSIST-IoT Multimodal Fall Detection Dataset [Dataset]. http://doi.org/10.5281/zenodo.8340428
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    zipAvailable download formats
    Dataset updated
    Sep 14, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Anastasiya Danilenka; Anastasiya Danilenka; Piotr Sowiński; Piotr Sowiński; Monika Kobus; Monika Kobus; Anna Dąbrowska; Anna Dąbrowska; Kajetan Rachwał; Kajetan Rachwał; Karolina Bogacka; Karolina Bogacka; Krzysztof Baszczyński; Krzysztof Baszczyński
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Multimodal dataset for fall detection. Includes acceleration data collected from a tag and two smartwatches, and location reported by the tag. More details about the data collection procedure can be found in notes.md.

    Contents

    The repository contains:

    • data/location_data.csv and data/full_acceleration – preprocessed acceleration and location data from 10 participants and mannequin simulated falls with target variable identified
    • data/subsampled_acceleration_data.csv – subsampled acceleration dataset used for training the AI model
    • notes.md – description of activities performed and notes from data collection
    • videos – reference videos for performed activities

    Authors

    Acknowledgements

    This work is part of the ASSIST-IoT project that has received funding from the EU’s Horizon 2020 research and innovation programme under grant agreement No 957258.

    The Central Institute for Labour Protection – National Research Institute provided facilities and equipment for data collection.

    License

    The dataset is licensed under the Creative Commons Attribution 4.0 International License.

  6. d

    Flash Eurobarometer 257 (Views on European Union enlargement) - Dataset -...

    • demo-b2find.dkrz.de
    Updated Sep 9, 2018
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    (2018). Flash Eurobarometer 257 (Views on European Union enlargement) - Dataset - B2FIND [Dataset]. http://demo-b2find.dkrz.de/dataset/924bffc8-35f4-5001-bf0e-d17172dbd33b
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    Dataset updated
    Sep 9, 2018
    Area covered
    European Union
    Description

    Folgen des Falls des Eisernen Vorhangs. Integration mittel- und osteuropäischer Länder in die EU. Themen: Meinung zu den Veränderungen: mehr Freiheit, besserer Lebensstandard in Mittel- und Osteuropa, Schaffen neuer Möglichkeiten für junge Generationen, offene Grenzen erlauben freie Bewegung der Menschen in Europa, Veränderungen nur für mittel- und osteuropäische Länder, gute Geschäftsmöglichkeiten für westeuropäische Unternehmen in Mittel- und Osteuropa; Einschätzung der Gesamtauswirkungen: Verbesserung der Lebensqualität in Mittel- und Osteuropa, Situation vor der Wende besser, Leben im eigenen Land unsicherer als vorher; Einschätzung der Folgen der Integration der mittel- und osteuropäischen Länder: Sicherheit und Stabilität in Europa, Probleme durch unterschiedliche kulturelle Hintergründe in den Ländern, Verbreitung demokratischer Werte sowie Schutz der Menschenrechte, Verlust von Arbeitsplätzen im eigenen Land, Verstärkung der politischen Bedeutung Europas in der Weltpolitik, Senkung der sozialen Standards in Europa, Erhöhung des Wohlstands und der wirtschaftlichen Wettbewerbsfähigkeit, Zunahme des Unsicherheitsgefühls, Erhöhung der Sicherheit durch Fortschritte im Kampf gegen organisierte Kriminalität und illegale Einwanderung, Wachstum und Modernisierung in mittel- und osteuropäischen Ländern, Erhöhung der finanziellen Zuwendungen durch westliche Länder, Reisefreiheit, Schwierigkeiten mit der Leitung der EU; wichtigste Leitlinien für eine EU-Erweiterung (für Europa, für das Befragungsland und für den Befragten). Demographie: Geschlecht; Alter; Beruf; berufliche Stellung; Urbanisierungsgrad; höchster Bildungsabschluss. Zusätzlich verkodet wurde: Befragten-ID; Interviewer-ID; Interviewsprache; Land; Interviewdatum; Interviewdauer (Interviewbeginn und Interviewende); Interviewmodus (Mobiltelefon oder Festnetz); Region; Gewichtungsfaktor. Attitudes towards the enlargement of the European Union after the fall of the iron curtain. Topics: attitude towards the following statements on the changes following the fall of the iron curtain: have brought more freedom to European citizens, resulted in better living standards in Central and Eastern Europe, created new opportunities only for the younger generation, contributed to the disappearance of borders, were only important for the countries of Central and Eastern Europe, have offered good business opportunities for Western European countries in Central and Eastern Europe; assessment of the overall impact of the changes: considerable improvement of quality of life in Central and Eastern European countries, situation in these countries before the fall of the iron curtain was better than today, life in the own country is more insecure now; attitude towards selected statements on the integration of Central and Eastern European countries into the European Union: has helped to preserve security and stability in Europe, problem of different values and cultures, spreads democratic values and the protection of human rights across Europe, lowered social standards in Europe, increased prosperity, increased the feeling of insecurity, increased European security with regard to the fight against organised crime and illegal immigration, has led to economic modernisation in the countries of Central and Eastern Europe, need for massive financial transfers to Central and Eastern European countries, increased free movement of people, makes the EU more difficult to manage; most important issues with regard to decisions on further enlargement of the EU for: EU as whole, own country, personally. Demography: sex; age; occupation; professional position; type of community; highest completed level of full time education. Additionally coded was: respondent ID; interviewer ID; language of the interview; country; date of interview; time of the beginning of the interview; duration of the interview; type of phone line; region; weighting factor.

  7. D

    Wearable Fall Detection Device Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Wearable Fall Detection Device Market Research Report 2033 [Dataset]. https://dataintelo.com/report/wearable-fall-detection-device-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Wearable Fall Detection Device Market Outlook




    According to our latest research, the global wearable fall detection device market size in 2024 reached USD 620 million, demonstrating robust demand driven by a rapidly aging population and advancements in wearable technology. The market is projected to grow at a CAGR of 8.7% during the forecast period of 2025 to 2033, reaching an estimated value of USD 1.32 billion by 2033. Key growth factors include increasing awareness about personal safety, technological innovations in sensor accuracy and connectivity, and the rising prevalence of chronic diseases that elevate fall risks among vulnerable populations. As per our latest research, the integration of AI and IoT within these devices is further propelling market adoption globally.




    One of the primary growth drivers for the wearable fall detection device market is the demographic shift towards an older population. The proportion of individuals aged 65 and above is increasing worldwide, particularly in developed regions such as North America, Europe, and parts of Asia Pacific. This demographic is more susceptible to falls due to age-related physiological changes, chronic health conditions, and reduced mobility. The growing elderly population is creating a sustained demand for fall detection solutions that can offer immediate assistance and reassurance, both to users and their caregivers. Furthermore, the rise in independent living among seniors, coupled with the desire to maintain autonomy, is encouraging the adoption of wearable fall detection devices as a means to enhance personal safety and reduce the risk of serious injury.




    Technological advancements are another major catalyst for the expansion of the wearable fall detection device market. The integration of sophisticated sensors, such as accelerometers and gyroscopes, has significantly improved the accuracy of fall detection algorithms. Additionally, the incorporation of artificial intelligence (AI) and machine learning enables these devices to distinguish between actual falls and false alarms caused by sudden movements or changes in posture. Connectivity features like Bluetooth, Wi-Fi, and cellular networks facilitate real-time alerts to caregivers or emergency services, further enhancing the utility and appeal of these devices. The increasing miniaturization of components and the development of user-friendly interfaces are also making wearable fall detection devices more comfortable and accessible for daily use.




    The market is further stimulated by rising healthcare costs and the emphasis on preventive care. Falls are a leading cause of injury-related hospitalizations and healthcare expenditures, especially among the elderly. Wearable fall detection devices play a crucial role in early intervention, enabling prompt medical response and potentially reducing the severity of injuries. This, in turn, can lead to substantial savings for healthcare systems and insurance providers. Government initiatives aimed at promoting digital health and remote patient monitoring are also encouraging the adoption of these devices. The reimbursement landscape for fall detection solutions is gradually evolving, particularly in developed markets, providing further impetus for market growth.




    From a regional perspective, North America currently dominates the wearable fall detection device market, accounting for the largest share due to high healthcare spending, advanced technology adoption, and a significant elderly population. Europe follows closely, with strong demand driven by similar demographic trends and supportive healthcare policies. The Asia Pacific region is emerging as a high-growth market, propelled by rapid urbanization, increasing healthcare awareness, and a growing middle-class population. Countries like Japan, China, and Australia are witnessing accelerated adoption of wearable health technologies. Meanwhile, Latin America and the Middle East & Africa are gradually embracing these devices, although market penetration remains lower compared to other regions due to infrastructural and economic constraints.



    Product Type Analysis




    The wearable fall detection device market is segmented by product type into smart watches, pendants, clip-ons, belt attachments, and others. Smart watches are emerging as the most popular product type, owing to their multifunctional capabilities and widespread consumer acceptance. These devices not on

  8. Monthly unemployment rate in the EU and Euro area 2019-2025

    • statista.com
    Updated Apr 25, 2014
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    Statista (2014). Monthly unemployment rate in the EU and Euro area 2019-2025 [Dataset]. https://www.statista.com/statistics/264887/monthly-unemployment-rate-in-the-eu-and-euro-area/
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    Dataset updated
    Apr 25, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2019 - Jul 2025
    Area covered
    European Union
    Description

    Monthly unemployment across the EU generally fell throughout 2019, reaching a low of 6.5 percent in March 2020 - thereafter, the onset of the Covid-19 pandemic saw a sharp rise in unemployment, peaking at 7.8 percent in August. Unemployment remained high throughout the pandemic's first year, before falling in its second year, when it then fell to pre-pandemic levels 18 months after it began. From January to July 2025, unemployment in the EU remained fairly consistent at around six percent.

  9. W

    Wearable Fall Alarm for the Elderly Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated May 18, 2025
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    Archive Market Research (2025). Wearable Fall Alarm for the Elderly Report [Dataset]. https://www.archivemarketresearch.com/reports/wearable-fall-alarm-for-the-elderly-267895
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    ppt, pdf, docAvailable download formats
    Dataset updated
    May 18, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global market for wearable fall alarms for the elderly is experiencing robust growth, driven by an aging global population and increasing awareness of the risks associated with falls among senior citizens. This market is projected to reach a substantial size, with a Compound Annual Growth Rate (CAGR) reflecting significant expansion over the forecast period (2025-2033). While precise figures for market size and CAGR are not explicitly provided, a reasonable estimation, based on comparable market trends within the broader healthcare technology sector and the considerable demand for elderly care solutions, suggests a market size of approximately $2 billion in 2025, growing at a CAGR of 15% from 2025 to 2033. This growth is fueled by several key drivers, including technological advancements leading to more sophisticated and user-friendly devices, rising healthcare expenditure, increased government initiatives focused on elderly care, and a growing preference for in-home care rather than institutionalization. The market is segmented by product type (watches and bracelets, vests, and others) and distribution channel (online and offline sales). The dominance of specific product types and sales channels will likely shift based on evolving consumer preferences and technological innovations. Major restraints to market growth include concerns about the cost of these devices, potential privacy issues associated with data collection, and the need for effective user education and training to ensure proper usage and adoption. However, ongoing technological improvements, coupled with government subsidies and insurance coverage for these devices in several regions, are expected to mitigate these challenges. The competitive landscape includes both established players in the home security and healthcare technology sectors and smaller, specialized firms focusing specifically on elderly care solutions. Regional market penetration varies considerably, with North America and Europe currently leading due to higher adoption rates and advanced healthcare infrastructure. However, significant growth opportunities exist in rapidly developing economies of Asia-Pacific and other regions as disposable income rises and awareness regarding elderly care increases.

  10. G

    Wearable Fall Detector Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Sep 1, 2025
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    Growth Market Reports (2025). Wearable Fall Detector Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/wearable-fall-detector-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Sep 1, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Wearable Fall Detector Market Outlook



    According to our latest research, the global wearable fall detector market size reached USD 617.5 million in 2024, reflecting robust adoption across healthcare and eldercare sectors. The market is expected to grow at a CAGR of 8.2% from 2025 to 2033, reaching a projected value of USD 1,201.8 million by 2033. This growth is primarily driven by the increasing aging population, heightened awareness of fall-related injuries, and technological advancements in wearable health monitoring devices.




    One of the key growth factors for the wearable fall detector market is the rising geriatric population worldwide. As populations in developed and developing countries continue to age, the incidence of falls and related injuries is escalating rapidly. According to the World Health Organization, falls are a leading cause of injury among people over 65, often resulting in hospitalization, loss of independence, and even mortality. This demographic trend is compelling healthcare providers, caregivers, and families to invest in fall detection solutions that can offer real-time alerts and rapid response, thus minimizing the risk of severe injury. The increased focus on independent living and the desire among older adults to age in place further fuel the demand for reliable wearable fall detector devices.




    Another significant driver is the integration of advanced sensor technologies into wearable devices. Modern wearable fall detectors are leveraging accelerometers, gyroscopes, and multi-sensor platforms to provide accurate, real-time monitoring of user movements. These technological advancements enable devices to distinguish between normal activities and actual falls, thereby reducing false alarms and enhancing user trust. Additionally, the proliferation of Internet of Things (IoT) and cloud connectivity has enabled remote monitoring, allowing caregivers and healthcare professionals to receive instant notifications regardless of location. This technological evolution is making wearable fall detectors more appealing and accessible to a broader user base, including both individuals and institutional care providers.




    Government initiatives and supportive reimbursement policies are also catalyzing market expansion. Many countries are introducing programs that subsidize or reimburse the cost of wearable health monitoring devices for the elderly and chronically ill. For example, several European and North American nations have incorporated fall detection devices into public health schemes, recognizing their potential to reduce healthcare costs associated with fall-related injuries. Insurance providers are increasingly covering such devices, incentivizing more families and institutions to adopt them. Furthermore, collaborations between device manufacturers, healthcare providers, and technology firms are fostering innovation and expanding distribution networks, thereby enhancing market penetration.



    In addition to the healthcare sector, Fall Detection Wearables for Road Workers are gaining traction as a vital safety measure. Road workers, who often operate in hazardous environments with heavy machinery and uneven surfaces, face a high risk of falls and related injuries. These specialized wearables are designed to withstand the rigors of outdoor work, providing robust fall detection capabilities even in challenging conditions. By integrating GPS and real-time communication features, these devices ensure that emergency services can be promptly alerted in the event of a fall, potentially saving lives and reducing the severity of injuries. The adoption of fall detection technology in the construction and road maintenance industries underscores the growing recognition of workplace safety and the role of innovative wearables in protecting workers.




    Regionally, North America dominates the wearable fall detector market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The high adoption rate in North America is attributed to advanced healthcare infrastructure, high awareness levels, and favorable reimbursement policies. Europe benefits from a rapidly aging population and strong government support for elder care technologies. Meanwhile, the Asia Pacific region is witnessing the fastest growth, driven by increasing healthcare

  11. W

    Wireless Fall Monitor Report

    • promarketreports.com
    doc, pdf, ppt
    Updated May 2, 2025
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    Pro Market Reports (2025). Wireless Fall Monitor Report [Dataset]. https://www.promarketreports.com/reports/wireless-fall-monitor-118546
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    May 2, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global wireless fall monitor market is experiencing robust growth, driven by an aging population, increasing prevalence of age-related fall incidents, and technological advancements leading to more sophisticated and user-friendly devices. The market size in 2025 is estimated at $850 million, demonstrating significant expansion from previous years. This growth is projected to continue at a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching an estimated market value of $2.4 Billion by 2033. Key market drivers include the rising demand for remote patient monitoring solutions, the increasing adoption of telehealth, and the growing awareness among healthcare providers and caregivers about the significant health risks and economic burdens associated with falls among elderly individuals. Furthermore, technological innovations, such as improved sensor accuracy, enhanced connectivity options (e.g., 5G integration), and the development of integrated fall detection systems incorporating AI and machine learning capabilities, are significantly contributing to market expansion. The market segmentation is broadly categorized by application (nursing homes, hospitals, residential nursing) and device type (personal carry, fixed installation). The market is characterized by a competitive landscape featuring both established players and emerging technology companies. Major companies like Philips, Tunstall Healthcare, and Mobilehelp are leveraging their brand recognition and established distribution channels, while smaller, innovative companies focus on developing cutting-edge technologies and providing specialized solutions. Market penetration is highest in North America and Europe due to higher healthcare expenditure, advanced infrastructure, and a greater awareness of the importance of fall prevention. However, the Asia Pacific region is expected to witness significant growth in the coming years, driven by rising disposable incomes, improving healthcare infrastructure, and an increasingly aging population in countries like China and India. While the market faces certain restraints, such as the relatively high cost of wireless fall monitor systems and concerns related to data privacy and security, these challenges are being addressed through technological innovations, competitive pricing strategies, and evolving regulatory frameworks.

  12. T

    Euro Area Consumer Confidence

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 14, 2012
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    TRADING ECONOMICS (2012). Euro Area Consumer Confidence [Dataset]. https://tradingeconomics.com/euro-area/consumer-confidence
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Dec 14, 2012
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1985 - Nov 30, 2025
    Area covered
    Euro Area
    Description

    Consumer Confidence In the Euro Area remained unchanged at -14.20 points in November. This dataset provides the latest reported value for - Euro Area Consumer Confidence - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  13. Respondents' image of the European Union from 2006 to 2024

    • statista.com
    Updated Feb 1, 2023
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    Statista (2023). Respondents' image of the European Union from 2006 to 2024 [Dataset]. https://www.statista.com/statistics/1360333/euroscepticism-european-union-public-image/
    Explore at:
    Dataset updated
    Feb 1, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    European Union
    Description

    Euroscepticism, the political position which opposes European integration or proposes leaving the EU, peaked in the early 2010s during the period of the Eurozone crisis. Approval of the EU had been stable at a relatively high level in the 2000s, with around half of respondents having a positive image of the Union, before sharply dropping from 2010 onwards to under a third of respondents. In spite of the spike in negative attitudes towards the EU, the total share of respondents with a negative outlook never exceeded the share of those with a positive one. By 2020, disapproval of the EU was back down to below twenty percent, and has fallen further since. The share of respondents with a positive image of the bloc has risen back to pre-financial crisis levels, signifying a remarkable turnaround in the public image of the EU. Whether this reflects a secular trend, or is the result of the external shocks of Covid-19 and the Russian invasion of Ukraine, which have both forced the member states of the union to cooperate on further integration measures, is yet to be seen. The Eurozone Crisis and the rise of euroscepticism Euroscepticism in the 2010s was driven by a succession of crises in both the economic and political spheres, which were latched onto by populists of both the far-left and far-right. The Eurozone crisis was triggered in 2010 by financial market pressure on the heavily indebted countries on the EU's periphery who were also member of the Euro currency area (Greece, Ireland, Italy, Portugal, and Spain, among others). The economies of these member states had suffered greatly during the global financial crisis and great recession, with the collapse of their housing markets and failure of their banking systems meaning that their governments had to take on increasing debt burdens. As it became clear that their debt levels were unsustainable, the yield on their government debt spiked, meaning that new borrowing became unaffordable. In most cases, the 'Troika' of the EU Commission, ECB, and IMF stepped in to provide bailouts, but with harsh austerity conditions which generated further unemployment and social discontent. The crisis was largely resolved by late 2012, as ECB chief Mario Draghi resolved to do "whatever it takes" to stabilize yields and to save the Euro. Nevertheless, Greece remained in deep trouble until after 2015, with question marks remaining about whether they would leave the Euro. Greece finally exited its Troika bailout program in 2018. Increasing migration flows and populist discontent While the Eurozone crisis was resolved (or at least delayed until a future date) by the middle of the decade, the populist political forces which it had unleashed began to have successes across the continent. The humanitarian crisis trigerred by the fleeing of millions of people from the war in Syria and other conflicts in the Middle East & North Africa towards Europe poured fuel on the fire of populism. Parties who opposed migration took power in Central & Eastern Europe, with Poland's Law and Justice Party and Hungary's Fidesz becoming some of the EU's biggest adversaries over the 2010s. Far-right parties in Western Europe such as the AfD in Germany, National Rally in France, Lega in Italy, PVV in the Netherlands, and Vox in Spain began to have unprecedented electoral success. These parties were buoyed by the Brexit referendum in the UK, where the populist challenger UKIP had forced the ruling Conservative Party to announce a vote on the UK's membership of the EU. With the referendum won by the 'leave' side, populist forces in other countries sought to capitalize on this momentum by entering government and, if not leaving the EU entirely, forcing changes to the way the union is run. While much ink was spilled over the threat this populist challenge posed to the EU, in many cases when populist parties entered government, such as Syriza in Greece and the Five Star Movement in Italy, they softened their tone towards leaving the union and focused rather on domestic politics than EU reform. Covid-19, Russia-Ukraine War, and the decline of euroscepticism? By the end of the decade of the 2010s, the populist and eurosceptic wave which had swept over the continent began to recede. Voters became dissatisfied with the achievements of many populist parties once they had entered office and a series of external shocks would further dampen the hostility towards the EU. The Covid-19 Pandemic struck in early 2020, and while the EU has been criticized for not having a united response to the crisis and being slow to organize the roll-out of vaccination programs, the pandemic focused populist energies towards anti-lockdown and anti-vaccination campaigns which targeted national governments rather than the EU. The pandemic also produced a "rally around the flag" effect, whereby the public approval of establishment forces which were seeking...

  14. E

    European Union Foreign Direct Investment: % of GDP

    • ceicdata.com
    Updated Mar 15, 2023
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    CEICdata.com (2023). European Union Foreign Direct Investment: % of GDP [Dataset]. https://www.ceicdata.com/en/indicator/european-union/foreign-direct-investment--of-nominal-gdp
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    Dataset updated
    Mar 15, 2023
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jun 1, 2020 - Mar 1, 2023
    Area covered
    European Union
    Variables measured
    Foreign Investment
    Description

    Key information about European Union Foreign Direct Investment: % of GDP

    • European Union Foreign Direct Investment (FDI) registered a growth equal to 0.9 % of the country's Nominal GDP in Mar 2023, compared with a fall equal to 11.3 % in the previous quarter.
    • EU Foreign Direct Investment: % of Nominal GDP data is updated quarterly, available from Mar 1999 to Mar 2023.
    • The data reached an all-time high of 14.2 % in Mar 2000 and a record low -11.3 % in Dec 2022.

    CEIC calculates Foreign Direct Investment as % of Nominal GDP from quarterly Foreign Direct Investment and quarterly Nominal GDP. European Central Bank provides Foreign Direct Investment in EUR. Eurostat provides Nominal GDP in EUR. Foreign Direct Investment as % of Nominal GDP covers Euro Area 20. Foreign Direct Investment as % of Nominal GDP prior to Q1 2013 covers Euro Area 19.


    Related information about European Union Foreign Direct Investment: % of GDP

    • In the latest reports of EU, Current Account recorded a surplus of 94.7 USD bn in Mar 2023.
    • Foreign Direct Investment (FDI) fell by 7.3 USD bn in Apr 2023.
    • EU Direct Investment Abroad expanded by 3.4 USD bn in Apr 2023.
    • Its Foreign Portfolio Investment increased by 158.7 USD bn in Mar 2023.
    • The country's Nominal GDP was reported at 4,430.4 USD bn in Mar 2023.

  15. Social Sciences & Humanities Research in Europe - Market Research Report...

    • ibisworld.com
    Updated Nov 29, 2025
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    IBISWorld (2025). Social Sciences & Humanities Research in Europe - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/europe/industry/social-sciences-humanities-research/200290/
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    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Europe
    Description

    The Social Sciences and Humanities Research and Development Activities industry’s revenue is expected to contract at a compound annual rate of 1% over the five years through 2025 to €3.3 billion. This includes a forecast rise of 0.6% in 2025. Revenue is significantly lower than in the Natural Science and Engineering Research and Development Activities industry, as scientific innovation, engineering techniques and healthcare developments are prioritised over research in societal change, economics, political science and cultural progress. Spending by businesses on R&D for these subjects is significantly lower, with most of the money coming from publicly backed organisations, like think tanks, political organisations and cultural centres. That being said, Belgium, Germany and Sweden all rely more heavily on business-funded R&D, whereas Greece, Luxembourg, Spain and Italy depend more on government funding, according to Eurostat. Horizon Europe and the Humanities in the European Research Area (HERA) have made significant funding contributions since 2020 to progress in R&D, which has helped mitigate revenue from falling too steeply. Companies in the industry must continue to prove the tangible benefits of SSH research and market these successes to pressure governments to increase research funding.

    Revenue is slated to climb at a compound annual rate of 2.1% over the five years through 2030 to €3.6 billion. Horizon Europe funding will continue to boost revenue for R&D activities, which are expected to double available funding to R&D from 2028 as the value of research in the humanities and social sciences becomes clearer. HERA will continue to encourage collaboration on R&D in Europe through the Collaboration of Humanities and Social Sciences in Europe programme, which includes countries like Spain, the UK, Estonia, Poland and Croatia. As AI becomes more integrated in SSH research, organisations should build collaborations between technical and SSH experts, develop new ethical evaluation methods and ensure compliance with EU standards throughout all research and innovation. Companies investing early in ethical AI platforms will likely gain the most from improved efficiency.

  16. D

    Slip And Fall Detection Analytics Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Slip And Fall Detection Analytics Market Research Report 2033 [Dataset]. https://dataintelo.com/report/slip-and-fall-detection-analytics-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Slip and Fall Detection Analytics Market Outlook




    According to our latest research, the global Slip and Fall Detection Analytics market size reached USD 1.24 billion in 2024, registering a robust growth trajectory with a CAGR of 16.1% during the forecast period. By 2033, the market is projected to attain a value of USD 4.09 billion. This remarkable expansion is primarily driven by the increasing demand for advanced safety solutions in healthcare, senior living, and commercial environments, coupled with technological advancements in artificial intelligence and sensor-based analytics, as per our most recent analysis.




    A primary growth driver for the Slip and Fall Detection Analytics market is the rising global aging population and the corresponding need for proactive fall prevention, especially within healthcare facilities and senior living centers. The World Health Organization estimates that falls are the second leading cause of accidental injury deaths worldwide, with adults over 65 being most vulnerable. As a result, there is a growing emphasis on deploying sophisticated detection systems that leverage AI, machine learning, and real-time analytics to monitor, predict, and alert caregivers or facility managers about potential fall incidents. This trend is further supported by stringent regulatory guidelines and increased awareness among stakeholders about the economic and human costs associated with slip and fall injuries. The integration of these analytics platforms into existing healthcare and residential infrastructure is becoming a standard practice, fueling market growth.




    Technological innovation is another key factor propelling the Slip and Fall Detection Analytics market forward. The convergence of vision-based systems, wearable devices, and sensor-based technologies has significantly enhanced the accuracy and reliability of fall detection solutions. AI-driven analytics platforms are now capable of distinguishing between normal movements and actual falls, reducing false alarms and improving response times. Moreover, the proliferation of IoT-enabled devices and cloud-based data processing has enabled seamless integration and scalability, making these solutions accessible to a broader range of end-users, from large hospitals to individual homes. The ongoing research and development in computer vision, deep learning, and edge computing are anticipated to further advance the capabilities of these systems, ensuring sustained market expansion through the forecast period.




    The market is also witnessing strong momentum due to the increased adoption of safety protocols in commercial and industrial settings. Workplace safety regulations and the need to mitigate liability risks have prompted organizations to invest in advanced analytics solutions for real-time monitoring and incident reporting. The deployment of slip and fall detection analytics in commercial buildings, warehouses, and manufacturing plants not only safeguards employee well-being but also contributes to operational efficiency by minimizing downtime and insurance costs. As industries continue to prioritize occupational safety and compliance, the demand for comprehensive detection and analytics platforms is expected to rise significantly, further bolstering market growth.




    From a regional perspective, North America currently dominates the Slip and Fall Detection Analytics market, accounting for the largest revenue share in 2024, followed by Europe and Asia Pacific. The high prevalence of chronic diseases, well-established healthcare infrastructure, and proactive government initiatives in the United States and Canada are major contributors to market leadership in this region. Europe is also experiencing substantial growth, particularly in countries with aging demographics such as Germany, France, and the United Kingdom. Meanwhile, the Asia Pacific region is poised for the fastest CAGR during the forecast period, driven by rapid urbanization, rising healthcare investments, and increasing awareness of elderly care solutions. Latin America and the Middle East & Africa are emerging markets with significant untapped potential, as healthcare modernization and safety regulations gain traction.



    Component Analysis




    The Slip and Fall Detection Analytics market is segmented by component into Hardware, Software, and Services, each playing a pivotal role in the ecosystem. The hardware segment encompasses devices such as sensors, cameras, wearable devices,

  17. T

    Fall Detection System Market Insights – Size & Forecast 2025 to 2035

    • futuremarketinsights.com
    html, pdf
    Updated Mar 26, 2025
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    Sudip Saha (2025). Fall Detection System Market Insights – Size & Forecast 2025 to 2035 [Dataset]. https://www.futuremarketinsights.com/reports/fall-detection-system-market
    Explore at:
    html, pdfAvailable download formats
    Dataset updated
    Mar 26, 2025
    Authors
    Sudip Saha
    License

    https://www.futuremarketinsights.com/privacy-policyhttps://www.futuremarketinsights.com/privacy-policy

    Time period covered
    2025 - 2035
    Area covered
    Worldwide
    Description

    The Fall Detection System Market is expected to witness steady growth between 2025 and 2035, driven by the rising elderly population and the increasing prevalence of age-related health conditions. The market is projected to reach USD 469.5 million in 2025 and expand to USD 856.8 million by 2035, reflecting a compound annual growth rate (CAGR) of 6.2% over the forecast period.

    MetricValue
    Industry Size (2025E)USD 469.5 million
    Industry Value (2035F)USD 856.8 million
    CAGR (2025 to 2035)6.2%

    Country wise Outlook

    CountryCAGR (2025 to 2035)
    USA6.0%
    CountryCAGR (2025 to 2035)
    UK6.1%
    CountryCAGR (2025 to 2035)
    European Union6.4%
    CountryCAGR (2025 to 2035)
    Japan6.3%
    CountryCAGR (2025 to 2035)
    South Korea6.5%

    Competitive Outlook

    Company NameEstimated Market Share (%)
    Koninklijke Philips N.V.20-25%
    Connect America15-20%
    ADT Corporation12-16%
    Tunstall Healthcare Group Ltd.8-12%
    Medical Guardian LLC6-10%
    Other Companies (combined)30-40%
  18. Poverty and Exclusion amongst EU Senior Citizens

    • kaggle.com
    zip
    Updated Dec 15, 2018
    + more versions
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    European Parliament (2018). Poverty and Exclusion amongst EU Senior Citizens [Dataset]. https://www.kaggle.com/datasets/eu-parliament/poverty-and-exclusion-amongst-eu-senior-citizens/code
    Explore at:
    zip(387454 bytes)Available download formats
    Dataset updated
    Dec 15, 2018
    Dataset authored and provided by
    European Parliamenthttp://europarl.europa.eu/
    Description

    Content

    Citizens’ Agora on "crisis and poverty" was organised by the European Parliament on 27 and 28 January 2011. It brought together the Members of the European Parliament (MEPs), the Members of the Economic and Social Committee (EESC), and Representatives of NGOs, who represented the organised civil society.

    In this framework, for the first time, a consensus conference, in which European citizens in situation of precariousness participated, helped the non organised civil society to make it heard.

    For this purpose, groups of citizens gathered in two-thirds of the Member States in order to debate on their personal situation in this period of economic, social and financial crisis. One or more participants per countries were invited in Brussels on 26, 27 and 28 January. This consensus conference allowed them to share their personal experiences and to express recommendations for other parties interested in Agora.

    The reader will find below the report summarising the discussions between groups of citizens in the Member States, the PowerPoint for the presentation as well as the recommendations coming from the consensus conference.

    Context

    This is a dataset from European Parliament hosted by the EU Open Data Portal. The Open Data Portal is found here and they update their information according the amount of data that is brought in. Explore European Parliament data using Kaggle and all of the data sources available through the European Parliament organization page!

    • Update Frequency: This dataset is updated daily.

    Acknowledgements

    This dataset is maintained using the EU ODP API and Kaggle's API.

    This dataset is distributed under the following license: Legal Notice

    Cover photo by Blake Cheek on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  19. EU Migration: share of national populations coming from other EU member...

    • statista.com
    Updated May 13, 2025
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    Statista (2025). EU Migration: share of national populations coming from other EU member states 2023 [Dataset]. https://www.statista.com/statistics/1420686/eu-migration-pop-share-from-other-states/
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    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    European Union
    Description

    Luxembourg is the European Union member state with the greatest share of its population being citizens of other EU member states, with almost 38 percent of people in the country coming from elsewhere in the EU. The small western European state has become a hub for immigration due to its status as one of the administrative centres of the EU (including being the location of the European Court of Justice and European Investment Bank), a key location for financial services companies, and due to its close proximity population centres of other member states such as France, Germany, and Belgium. Other countries with a large share of their population coming from elsewhere in the EU include Austria, Belgium, and Ireland, three countries which have seen increased intra-EU migration in recent years due to strong work opportunities in international organisations (Belgium and Austria) and multinational companies (Ireland).

  20. F

    Falls Prevention Monitors Report

    • promarketreports.com
    doc, pdf, ppt
    Updated Apr 23, 2025
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    Pro Market Reports (2025). Falls Prevention Monitors Report [Dataset]. https://www.promarketreports.com/reports/falls-prevention-monitors-150964
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 23, 2025
    Dataset authored and provided by
    Pro Market Reports
    License

    https://www.promarketreports.com/privacy-policyhttps://www.promarketreports.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global falls prevention monitors market is experiencing robust growth, driven by an aging global population, increasing incidence of falls among elderly individuals, and rising demand for advanced healthcare technologies. The market, currently valued at approximately $11 billion in 2025, is projected to exhibit a significant Compound Annual Growth Rate (CAGR). While the exact CAGR is not provided, considering market trends and the growth potential within the medical technology sector, a conservative estimate would place the CAGR in the range of 7-9% for the forecast period of 2025-2033. This growth is fueled by several key factors. Technological advancements leading to more sophisticated and user-friendly fall detection systems, including wireless monitors and those integrated into smart home ecosystems, are major drivers. Furthermore, increasing healthcare expenditure globally and a rising awareness of fall-related injuries and their associated healthcare costs contribute to the market's expansion. The market is segmented by monitor type (wireless and wired) and application (hospitals, nursing homes, home use, and others). The wireless segment is expected to dominate, given its convenience and ease of use. Geographically, North America and Europe currently hold substantial market shares, driven by advanced healthcare infrastructure and a high prevalence of age-related falls. However, emerging economies in Asia-Pacific are poised for significant growth due to increasing healthcare investments and a rapidly aging population. The market's growth is not without its challenges. High initial costs associated with implementing fall prevention monitoring systems can act as a restraint, particularly in resource-constrained settings. Data privacy and security concerns related to the collection and storage of sensitive patient data also represent significant hurdles. However, ongoing technological innovations, coupled with increasing government initiatives to improve elderly care and reduce healthcare costs associated with fall-related injuries, are expected to mitigate these restraints in the long term. The competitive landscape is characterized by a mix of established medical technology companies and specialized fall prevention solution providers, indicating a dynamic and evolving market. The continued focus on improving accuracy, reliability, and affordability of fall detection systems will likely shape the future trajectory of this expanding market. This report provides a detailed analysis of the global Falls Prevention Monitors market, projected to reach a value exceeding $2.5 billion by 2028. We delve into market dynamics, key players, technological advancements, and future growth prospects, utilizing data-driven insights to provide actionable intelligence for stakeholders. The report is designed to be a comprehensive resource for investors, manufacturers, healthcare providers, and researchers seeking a deep understanding of this crucial sector.

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Alfred Wertner; Viktoria Pammer; Paul Czech (2016). Dataset for Mobile Phone Sensing Based Fall Detection [Dataset]. http://doi.org/10.6084/m9.figshare.1444405.v1
Organization logo

Dataset for Mobile Phone Sensing Based Fall Detection

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34 scholarly articles cite this dataset (View in Google Scholar)
application/x-sqlite3Available download formats
Dataset updated
Jan 19, 2016
Dataset provided by
Figsharehttp://figshare.com/
Authors
Alfred Wertner; Viktoria Pammer; Paul Czech
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This is a labelled dataset of mobile phone integrated accelerometer and gyroscope sensor data, in which falls and activities of daily life (ADL) were simulated as realistically as possible by martial artists. 5 different mobile phone devices were used for the recordings:Samsung Galaxy S4Samsumg Galaxy S5 MiniSony Z3Google Nexus 4Google Nexus 5Sampling Frequency: 5Hz, for both accelerometer and gyroscope sensors Simulation of falls and ADLWe recorded eight simulations, seven incorporating a fall and one simulation with ADL. The simulations were performed by five martial artists in parallel. Each simulation was repeated five times. The simulations were repeated with a second group of martial artists.Each martial artist was equipped with a belt bag in which the mobile device was put into. Dataset Content13 TablesDEVICE_ALL_ACCELERATION ... acceleration data of all devicesDEVICE_ALL_ORIENTATION ... orientation data of all devicesDEVICE_{modelname}_ACCELERATION ... acceleration data of a single deviceDEVICE_{modelname}_ORIENTATION ... orientation data of a single deviceMANUAL_LABELS ... manually labelled activities DatatypesAcceleration is stored as a three dimensional vector indicating acceleration along each device axis, not including gravity. All values have units of m/s^2. Addtionally, the total acceleration from the vector is stored. Formula: squared root of (x^2 + y^2 + z^2) Orientation is stored as three dimensional vector of angles azimuth, pitch and roll. All values are angles in degrees. Azimuth, angle between the magnetic north direction and the y-axis, around the z-axis (0 to 359). 0=North, 90=East, 180=South, 270=WestPitch, rotation around x-axis (-180 to 180), with positive values when the z-axis moves toward the y-axis.Roll, rotation around y-axis (-90 to 90), with positive values when the x-axis moves toward the z-axis.Note: This definition is different from yaw, pitch and roll used in aviation where the X axis is along the long side of the plane (tail to nose). Timestamps are in milliseconds (unix epoch time). Stats159300 acceleration records159300 orientation records492 labels~ 6 six hours of fall simulations~ 4 hours of ADL simulations ACKNOWLEDGEMENTS The Knowledge Technologies Institute is part of the Faculty of Computer Science and Biomedical Engineering at the Graz University of Technology. The Know-Center is funded within the Austrian COMET Program under the auspices of the Austrian Ministry of Transport, Innovation and Technology, the Austrian Ministry of Economics and Labor and by the State of Styria. COMET is managed by the Austrian Research Promotion Agency FFG. The DALIA project (AAL-2012-5-249) is co-financed under the Ambient Assisted Living Joint Programme of the European Commission (www.aal-europe.eu) and the National Funding Agencies of Austria, Belgium, Netherlands and Switzerland. The authors also wish to thank the martial artists of the Ninpo Bujutsu Club Graz, for simulating so many falls.

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