100+ datasets found
  1. D

    Data from: Workplace Ergonomics Problems and Solutions: Working from Home

    • ssh.datastations.nl
    ods, tsv, zip
    Updated Sep 10, 2021
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    YJA Yeow; YJA Yeow (2021). Workplace Ergonomics Problems and Solutions: Working from Home [Dataset]. http://doi.org/10.17026/DANS-X7U-TJNQ
    Explore at:
    ods(1716111), zip(15571), tsv(3252)Available download formats
    Dataset updated
    Sep 10, 2021
    Dataset provided by
    DANS Data Station Social Sciences and Humanities
    Authors
    YJA Yeow; YJA Yeow
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Background: Due to the Covid-19 pandemic, in 2020, many employees requested to work from home (WFH). During this WFH period, some employees encountered health issues related to sprains and neck or back pain owing to poor working conditions at home. As the WFH trend may continue over a prolonged period, the actual causes and solutions to ergonomic issues must be addressed to reduce injuries.Purpose: This study aims to identify the ergonomic issues encountered when working from home and suggest several solutions to minimise these issues.Methods: A qualitative ethnographic methodology was adopted. This study included a focus group discussion among experts from the fields of higher education, healthcare, human resource (HR), and ergonomics. The most common ergonomic issues identified were based on diagnoses and observations in previous studies.Results: The panellists agreed on ergonomics issues—comprising the use of unergonomic chairs, incorrect sitting postures, irregular arrangement of key objects, improper reach distances of the laptop/keyboard/mouse, poor desk designs, footrest absence, distortion/noise, poor lighting, and poor work environment. In the long run, WFH ergonomics issues may lead to burnout, carpal tunnel syndrome or other cumulative trauma disorders, high blood pressure, and stress on the cervical spine and neck. The proposed solutions include a complete WFH ergonomics and wellness checklist for employees and employers, webinar sessions on WFH ergonomics, meet-up sessions with ergonomics or HR experts, workspace rentals for co-workers, implementation of the 20-20-20 rule and job-sharing practices, and the involvement of employers or the government in procuring ergonomic equipment for WFH employees.Conclusions: This is a preliminary study and the researchers are exploring the root causes of WFH ergonomics issues and proposed solutions. While previous studies have examined workplace ergonomics, this study only focuses on WFH ergonomic issues and solutions during the ongoing pandemic.

  2. Seair Exim Solutions

    • seair.co.in
    Updated May 28, 2025
    + more versions
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    Seair Exim (2025). Seair Exim Solutions [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    May 28, 2025
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  3. AI-Powered Workplace Ergonomics Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jun 28, 2025
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    Growth Market Reports (2025). AI-Powered Workplace Ergonomics Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/ai-powered-workplace-ergonomics-market
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    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    AI-Powered Workplace Ergonomics Market Outlook



    As per our latest research, the global AI-powered workplace ergonomics market size in 2024 stands at USD 1.89 billion, reflecting a robust foundation for this rapidly evolving sector. The market is on a strong growth trajectory, expected to reach USD 8.64 billion by 2033, expanding at a remarkable CAGR of 18.2% during the forecast period. This growth is primarily driven by the increasing integration of artificial intelligence into workplace health and safety protocols, a heightened focus on employee well-being, and the rising adoption of remote and hybrid work models globally.



    One of the primary growth factors propelling the AI-powered workplace ergonomics market is the escalating emphasis on employee health and productivity. Organizations are increasingly recognizing that poor workplace ergonomics can lead to musculoskeletal disorders (MSDs), absenteeism, and reduced efficiency. With AI-driven solutions, companies can monitor employee posture, analyze repetitive movements, and provide real-time feedback to mitigate risks. The ability to collect and process large volumes of ergonomics data enables businesses to proactively address workplace hazards, which not only reduces healthcare costs but also enhances overall workforce performance. These advanced systems are being integrated into office environments, manufacturing floors, and healthcare settings, ensuring that ergonomics is no longer a one-size-fits-all solution but a personalized, data-driven approach.



    Another significant driver is the technological advancements in AI and machine learning algorithms, which have transformed traditional ergonomics assessment methods. AI-powered platforms can now utilize computer vision, sensor-based monitoring, and predictive analytics to deliver actionable insights. These innovations facilitate the early detection of ergonomic risks and automate compliance reporting, making it easier for organizations to adhere to occupational safety regulations. The proliferation of wearable devices and IoT sensors further augments the capabilities of these solutions, enabling continuous and unobtrusive monitoring of workers. As a result, companies are better equipped to foster a culture of safety, reduce workplace injuries, and optimize workspace layouts based on real-time analytics.



    The shift towards remote and hybrid work arrangements has also fueled the demand for AI-powered workplace ergonomics solutions. With employees working from diverse locations, traditional ergonomics interventions are no longer sufficient. AI-driven tools can remotely assess home office setups, provide personalized recommendations, and ensure that remote workers maintain healthy postures. This capability is particularly valuable as organizations seek to support a distributed workforce without compromising on health and safety standards. Moreover, the integration of AI ergonomics platforms with existing HR and facility management systems allows for seamless deployment and scalability, catering to the unique needs of both small businesses and large enterprises.



    Regionally, North America continues to dominate the AI-powered workplace ergonomics market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The presence of major technology players, stringent workplace safety regulations, and a high degree of digitalization in these regions are key contributors to market growth. Asia Pacific is emerging as a high-growth region, driven by rapid industrialization, increasing awareness about workplace health, and significant investments in AI technologies. Latin America and the Middle East & Africa are gradually adopting AI-powered ergonomics solutions, with growth supported by government initiatives and the expansion of multinational corporations in these regions.





    Component Analysis



    The AI-powered workplace ergonomics market is segmented by component into software, hardware, and services, each playing a crucial role in delivering comprehensive ergonomic solutions. The softwar

  4. f

    Data from: COVID-19 pandemic and remote teaching activities: ergonomic risks...

    • scielo.figshare.com
    tiff
    Updated Jun 3, 2023
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    Bruno Guimarães; Tiago Chimenez; Diego Munhoz; Heloísa Minikovski (2023). COVID-19 pandemic and remote teaching activities: ergonomic risks and musculoskeletal symptoms of professors at Instituto Federal Catarinense [Dataset]. http://doi.org/10.6084/m9.figshare.20015889.v1
    Explore at:
    tiffAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    SciELO journals
    Authors
    Bruno Guimarães; Tiago Chimenez; Diego Munhoz; Heloísa Minikovski
    License

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

    Description

    ABSTRACT This study aimed to evaluate the musculoskeletal symptoms and the ergonomic risks in the workplaces of the professors of the Instituto Federal Catarinense (IFC). 140 professors participated by answering an online questionnaire on sociodemographic information, task performance, work environment, and musculoskeletal pain. Data were analyzed using binary logistic regression for each outcome separately, using neck, right shoulder, and low back pain as dependent variables. The prevalence of pain among professors was 94.7% and the most frequent regions were the neck, lumbar spine, and right shoulder. The main ergonomic risks were mental overload (stress) and inadequate worktable and monitor. An association between neck pain and professors who had greater mental overload (stress), who do not engage in physical activity, and who use the computer for more than 20 hours a week was observed; also, between pain in the right shoulder and the professors who do not engage in physical activity, who use the computer for more than 20 hours a week, who had an inadequate workspace. Low back pain was associated with women, weekly course workload greater than 15 hours, and chronic disease. The results found indicate the need to adapt the workplace of the professors with in order to prevent pain and improve the quality of life and the quality of teaching.

  5. u

    Bus-Ergonomics Matrix - Switzerland

    • data.unisante.ch
    Updated Jun 4, 2025
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    Irina Guseva Canu (2025). Bus-Ergonomics Matrix - Switzerland [Dataset]. https://data.unisante.ch/catalog/66
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    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Irina Guseva Canu
    Time period covered
    2021 - 2023
    Area covered
    Switzerland
    Description

    Abstract

    Bus drivers are key players in sustainability, especially in transport. Their continued employment is therefore important. One of the most common health problems among drivers is musculoskeletal disorders. However, little data exists on the ergonomics of their workstations, making cause-effect studies impossible. To remedy this shortcoming, we have created a Bus Ergonomics Matrix (BERM). The BERM was created in 3 stages: 1) Creation of the measurement protocol based on literature and standards, and creation of ergonomic scores with the help of experts (ergonomists). Ergonomic scores are divided according to body regions: global, visual, biomechanical, shoulder girdles, upper body, back, and lower body. 2) Measurement of 10 buses representative of the evolution of the Swiss bus fleet (November 2021 and May 2023). 3) Modeling and extension of ergonomic scores to the entire Swiss bus fleet using INLA (Integrated Nested Laplace Approximation). Predictors are technical characteristics of the buses. The BERM is an original tool containing 110 bus models and their corresponding ergonomic scores (mean and standard deviation).

    Geographic coverage

    National coverage

    Analysis unit

    Bus model

    Universe

    Bus drivers

    Kind of data

    Observation data/ratings [obs]

    Mode of data collection

    Other [oth]

    Cleaning operations

    We collected the measured data and then calculated ergonomic scores. Then, for each ergonomic scores, we created mathematical models to extend these ergonomic scores to the entire Swiss bus fleet. We used INLA (integrated Laplace approximation) to model the data. The modeled values were then checked to ensure that they were feasible (no negative scores). Data analysis and modeling with the free software R, version 4.2.3

  6. E

    Ergonomic Engineering Services Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 24, 2025
    + more versions
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    Data Insights Market (2025). Ergonomic Engineering Services Report [Dataset]. https://www.datainsightsmarket.com/reports/ergonomic-engineering-services-532490
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    pdf, doc, pptAvailable download formats
    Dataset updated
    May 24, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    The Ergonomic Engineering Services market is experiencing robust growth, driven by increasing awareness of workplace health and safety, rising incidences of musculoskeletal disorders (MSDs), and the growing adoption of remote work models. The market's expansion is fueled by stringent government regulations promoting ergonomic workplace design and the increasing demand for customized ergonomic solutions tailored to specific industries and individual needs. Companies are investing heavily in ergonomic assessments, workplace modifications, and employee training programs to improve productivity, reduce absenteeism, and mitigate legal liabilities associated with workplace injuries. The market is segmented by service type (e.g., ergonomic assessments, workplace design, training), industry (e.g., manufacturing, healthcare, IT), and region. While the precise market size is unavailable, a reasonable estimation based on similar industry growth patterns and publicly available data suggests a 2025 market valuation of approximately $5 billion, growing at a Compound Annual Growth Rate (CAGR) of 7% over the forecast period (2025-2033). This projection accounts for factors such as technological advancements in ergonomic product development and the increasing adoption of ergonomic technologies within various sectors. Key players in this market include Ergo Works, Humanscale, Marsh, and others, competing through product differentiation, service quality, and geographical reach. Market restraints include the high initial investment cost associated with ergonomic implementations, particularly for smaller businesses, and the need for continuous employee training to ensure lasting impact. Future growth will likely be shaped by advancements in wearable technology and data analytics, allowing for more precise ergonomic assessments and personalized interventions. The increasing adoption of remote work also presents both opportunities and challenges, requiring innovative ergonomic solutions for home office setups and ensuring a consistent level of health and safety across diverse work environments. This necessitates a market shift toward more accessible and remote ergonomic consultation services.

  7. m

    (Dataset) Ergonomics and telework

    • data.mendeley.com
    Updated Mar 3, 2021
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    César Larrea-Araujo (2021). (Dataset) Ergonomics and telework [Dataset]. http://doi.org/10.17632/8dt5ykyfzg.1
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    Dataset updated
    Mar 3, 2021
    Authors
    César Larrea-Araujo
    License

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

    Description

    Dataset containing data related to Ergonomics and teleworking.

  8. MOVMUS-UJI Dataset & ERGOMOVMUS: EMG and kinematics data of the hand in...

    • zenodo.org
    • data.niaid.nih.gov
    zip
    Updated Nov 27, 2024
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    Alba Roda-Sales; Alba Roda-Sales; Néstor J. Jarque-Bou; Néstor J. Jarque-Bou; Vicent Bayarri-Porcar; Vicent Bayarri-Porcar; Verónica Gracia-Ibáñez; Verónica Gracia-Ibáñez; Joaquín L. Sancho-Bru; Joaquín L. Sancho-Bru; Margarita Vergara; Margarita Vergara (2024). MOVMUS-UJI Dataset & ERGOMOVMUS: EMG and kinematics data of the hand in activities of daily living with special interest for ergonomics [Dataset]. http://doi.org/10.5281/zenodo.14227751
    Explore at:
    zipAvailable download formats
    Dataset updated
    Nov 27, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Alba Roda-Sales; Alba Roda-Sales; Néstor J. Jarque-Bou; Néstor J. Jarque-Bou; Vicent Bayarri-Porcar; Vicent Bayarri-Porcar; Verónica Gracia-Ibáñez; Verónica Gracia-Ibáñez; Joaquín L. Sancho-Bru; Joaquín L. Sancho-Bru; Margarita Vergara; Margarita Vergara
    License

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

    Description

    A dataset of human hand kinematics and forearm muscle activation collected during the performance of a wide variety of activities of daily living (ADLs) is presented, with tagged characteristics of products and tasks. A total of 26 participants performed 161 ADLs, selected to be representative of common elementary tasks, grasp types, product orientations and performance heights. 105 products were used, being varied regarding shape, dimensions, weight and type (common products and assistive devices).

    The data were recorded using CyberGlove instrumented gloves on both hands measuring 18 degrees of freedom on each and seven surface EMG sensors per arm recording muscle activity. The products and their arrangement were the same across subjects, and tasks were performed in a guided way. Data of more than 4100 ADLs is presented in this dataset as Matlab structures with full continuous recordings, which may be used in applications such as machine learning or to characterize healthy human hand behaviour.

    The dataset is accompanied with a custom data visualization application (ERGOMOVMUS) as a tool for ergonomics applications, allowing visualization and calculation of aggregated data from specific task, product and/or subjects’ characteristics.

    v3.0 includes the following updates:

    - Statistical summary of the recordings both in .xlsx and .ods file format (v1.1 only included it in .xlsx file format)

    - Updated experiment details in "MOVMUS-UJI DATASET GUIDE.pdf".

  9. 4

    Data and Code for the paper "Ergonomics and human factors: still fading—and...

    • data.4tu.nl
    zip
    Updated May 27, 2025
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    Joost de Winter; Yke Bauke Eisma (2025). Data and Code for the paper "Ergonomics and human factors: still fading—and why we need to embrace the AI revolution" [Dataset]. http://doi.org/10.4121/240b19a6-c816-414c-85e1-ca030414002e.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 27, 2025
    Dataset provided by
    4TU.ResearchData
    Authors
    Joost de Winter; Yke Bauke Eisma
    License

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

    Description

    This research used Google's Gemini AI model (gemini-2.5-flash-preview-05-20) to evaluate the ergonomics of nine historical aircraft altimeter dial drawings. The AI rated each dial on eight ergonomic statements. These ratings were then compared to human performance data (interpretation time, error rates) from Grether (1949).

  10. f

    Dutch adults (DINED - anthropometric database)

    • figshare.com
    • data.4tu.nl
    zip
    Updated Jun 17, 2023
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    J.M. Dirken; L.P.A. Steenbekkers; Daanen; A.I.M. Voorbij; J.F.M. (Johan) Molenbroek (2023). Dutch adults (DINED - anthropometric database) [Dataset]. http://doi.org/10.4121/uuid:1b214a8f-f59c-460f-8eb9-3ef8db5e85ee
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 17, 2023
    Dataset provided by
    4TU.ResearchData
    Authors
    J.M. Dirken; L.P.A. Steenbekkers; Daanen; A.I.M. Voorbij; J.F.M. (Johan) Molenbroek
    License

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

    Description

    The most recent version of the DINED-series was based on two sources. The first is the Geron-project 1993-1998 of the TU Delft Ergonomics group (see also the Geron 1998 table), which provides the basic body dimensions. Second source is the Caesar-project from TNO Human Factors Soesterberg, which provides the circumferences. (2004)

  11. Anthropometric data set

    • zenodo.org
    txt
    Updated Nov 30, 2020
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    Inga Dabolina; Inga Dabolina; Eva Lapkovska; Eva Lapkovska (2020). Anthropometric data set [Dataset]. http://doi.org/10.5281/zenodo.4296031
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    txtAvailable download formats
    Dataset updated
    Nov 30, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Inga Dabolina; Inga Dabolina; Eva Lapkovska; Eva Lapkovska
    License

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

    Description

    The data set describes anthropometric data in extreme positions: standard, relaxed posture, self-hug, leaning, tilting, arms raised, lingering. Data were analyzed in tight clothing. The protective clothing used during the Covid-19 pandemic was analyzed in two positions for the same test subject (relaxed and raised arms). The data show the fit of the suit to the body. And changes in the body's anthropometric data as a result of various movements.

  12. D

    Data from: Workplace Ergonomics Problems and Solutions: Working from Home

    • lifesciences.datastations.nl
    pdf, zip
    Updated Jun 4, 2021
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    J.A. Yeow; J.A. Yeow (2021). Workplace Ergonomics Problems and Solutions: Working from Home [Dataset]. http://doi.org/10.17026/DANS-Z58-2NXF
    Explore at:
    zip(15102), pdf(1050270)Available download formats
    Dataset updated
    Jun 4, 2021
    Dataset provided by
    DANS Data Station Life Sciences
    Authors
    J.A. Yeow; J.A. Yeow
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This study aims to identify the ergonomics issues of working from home and suggest several solutions in minimising these issues. It serves as a guideline to employees and employers in developing healthier WFH conditions. This exploratory study included a focus group discussion among experts from fields of higher education, healthcare, HR and ergonomics. The most common ergonomics issues identified were based on diagnoses and observations from previous studies. The panellists agreed on the issues which comprised the use of unergonomic chairs, incorrect sitting postures, irregular arrangement of key objects, improper reach distances of the laptop/keyboard/mouse, poor desk designs, absence of footrest, distortion/noise, poor lighting and poor work environment. Date Submitted: 2021-06-28

  13. Global import data of Ergonomic

    • volza.com
    csv
    Updated May 28, 2025
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    Volza FZ LLC (2025). Global import data of Ergonomic [Dataset]. https://www.volza.com/imports-united-states/united-states-import-data-of-ergonomic-from-hong-kong
    Explore at:
    csvAvailable download formats
    Dataset updated
    May 28, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    96 Global import shipment records of Ergonomic with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  14. Workplace Ergonomics Sensor Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jun 29, 2025
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    Growth Market Reports (2025). Workplace Ergonomics Sensor Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/workplace-ergonomics-sensor-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jun 29, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Workplace Ergonomics Sensor Market Outlook



    According to our latest research, the global workplace ergonomics sensor market size stood at USD 1.32 billion in 2024, reflecting a robust trajectory driven by the increasing emphasis on employee well-being and productivity. The market is projected to expand at a CAGR of 13.8% from 2025 to 2033, reaching a forecasted value of USD 4.03 billion by 2033. This growth is primarily fueled by the widespread adoption of advanced ergonomic solutions across diverse industries, as organizations recognize the tangible benefits of reducing workplace injuries and enhancing operational efficiency.




    One of the primary growth factors for the workplace ergonomics sensor market is the rising prevalence of musculoskeletal disorders (MSDs) among office and industrial workers. These health concerns have prompted organizations to invest in proactive ergonomic assessment tools, with sensors at the forefront of this technological shift. The integration of wearable sensors and smart monitoring systems allows for real-time detection of poor posture and repetitive strain, enabling immediate corrective actions. This not only reduces absenteeism and compensation claims but also fosters a culture of safety and well-being. Furthermore, regulatory bodies across North America, Europe, and Asia Pacific are increasingly mandating workplace health standards, further incentivizing the adoption of ergonomic sensors.




    Another significant driver is the rapid technological advancements in sensor miniaturization, wireless connectivity, and data analytics. Modern workplace ergonomics sensors are now equipped with AI-powered analytics, cloud integration, and IoT capabilities, allowing seamless monitoring and reporting of ergonomic metrics. Organizations leverage these insights to design personalized wellness programs, optimize workstation layouts, and ensure compliance with occupational health guidelines. Additionally, the proliferation of remote and hybrid work models has expanded the scope of ergonomic monitoring beyond traditional office settings, further accelerating market growth.




    The growing emphasis on employee productivity and retention is also catalyzing the demand for workplace ergonomics sensors. Companies are increasingly aware that a healthy, comfortable work environment directly correlates with higher job satisfaction and reduced turnover rates. As a result, investments in ergonomic technologies are viewed as strategic initiatives that yield long-term returns by minimizing downtime, improving engagement, and enhancing corporate reputation. This trend is particularly evident in sectors such as IT, healthcare, and manufacturing, where workforce efficiency is paramount. The convergence of these factors is expected to sustain the momentum of the workplace ergonomics sensor market over the forecast period.




    From a regional perspective, North America currently leads the global workplace ergonomics sensor market, accounting for the largest share in 2024. This dominance is attributed to the region’s advanced technological infrastructure, stringent occupational safety regulations, and high corporate awareness regarding employee health. Europe follows closely, driven by similar regulatory frameworks and a strong focus on workplace wellness. Meanwhile, the Asia Pacific region is poised for the fastest growth, supported by rapid industrialization, expanding corporate sectors, and increasing investments in smart office solutions. Latin America and the Middle East & Africa are also witnessing steady adoption, albeit at a comparatively moderate pace, as organizations in these regions gradually recognize the benefits of ergonomic interventions.





    Product Type Analysis



    The workplace ergonomics sensor market is segmented by product type into wearable sensors, desk-mounted sensors, chair-mounted sensors, and others. Wearable sensors have emerged as the most dynamic segment, owing to their versatility and ability to provide continuous, real-time f

  15. B

    Project Homework part 1: Social presence and workplace ergonomics survey

    • borealisdata.ca
    Updated Jan 16, 2023
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    Colin Conrad; Michael Klesel; Frederike Oschinsky; Kydra Mayhew; Kiera O'Neil; Francesco Usai (2023). Project Homework part 1: Social presence and workplace ergonomics survey [Dataset]. http://doi.org/10.5683/SP3/EENFSD
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 16, 2023
    Dataset provided by
    Borealis
    Authors
    Colin Conrad; Michael Klesel; Frederike Oschinsky; Kydra Mayhew; Kiera O'Neil; Francesco Usai
    License

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

    Description

    This is the first in a series of outputs of Project Homework, an initiative designed to investigate the impact of mind wandering during remote work technology use. The raw data consists of 414 responses to survey questions asked concerning workplace ergonomics, social presence, mind wandering, IT mindfulness and a range of other factors. Of the 414 responses, 400 were generated by participants using the Prolific platform. Responses were collected using Qualtrics. You can find the specific questions that were asked near the top under the column headers. The work was analyzed and presented as part of a paper published in the Proceedings of the 2023 Hawaiian International Conference of Systems Sciences. This project was funded by the SSHRC Insight Development grant 430-2021-00184.

  16. m

    Data from: An Exact Method to Incorporate Ergonomic Risks in Assembly Line...

    • data.mendeley.com
    Updated Oct 14, 2022
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    Moacyr Carlos Possan Junior (2022). An Exact Method to Incorporate Ergonomic Risks in Assembly Line Balancing Problems [Dataset]. http://doi.org/10.17632/7s7m945nbb.3
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    Dataset updated
    Oct 14, 2022
    Authors
    Moacyr Carlos Possan Junior
    License

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

    Description

    Paper's dataset with benchmark-based instances and obtained results.

  17. AI-Enhanced Remote Ergonomic Assessment Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jun 28, 2025
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    Growth Market Reports (2025). AI-Enhanced Remote Ergonomic Assessment Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/ai-enhanced-remote-ergonomic-assessment-market
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    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    AI-Enhanced Remote Ergonomic Assessment Market Outlook



    According to our latest research, the AI-Enhanced Remote Ergonomic Assessment market size reached USD 1.82 billion in 2024, reflecting a robust surge in demand for intelligent solutions that optimize workplace and individual ergonomics. The market is projected to expand at a CAGR of 14.7% from 2025 to 2033, reaching a forecasted value of USD 6.14 billion by 2033. This impressive growth is being driven by the rising adoption of remote and hybrid work models, increasing organizational focus on employee health and productivity, and rapid advancements in artificial intelligence and machine learning technologies.




    One of the primary growth factors for the AI-Enhanced Remote Ergonomic Assessment market is the global shift towards remote and flexible working environments. The COVID-19 pandemic accelerated the adoption of remote work, compelling organizations to prioritize employee well-being outside traditional office settings. As a result, there is heightened demand for AI-driven ergonomic solutions that can remotely assess and optimize workspaces, reducing the risk of musculoskeletal disorders and enhancing overall productivity. These solutions leverage computer vision, sensor data, and advanced analytics to provide personalized recommendations, which has proven invaluable for distributed workforces and organizations seeking to maintain high standards of occupational health.




    Another key driver is the increasing integration of AI and machine learning into ergonomic assessment platforms. The ability of AI-enhanced systems to analyze vast amounts of data, recognize posture patterns, and predict potential health risks has transformed traditional ergonomic assessments into proactive, continuous processes. This technological evolution enables real-time feedback, automated reporting, and tailored interventions, making ergonomic assessments more accessible and actionable for both enterprises and individuals. Furthermore, these systems can be seamlessly integrated with existing enterprise software, wearables, and IoT devices, further expanding their utility and adoption across various sectors.




    The market is also benefiting from heightened regulatory and corporate focus on occupational health and safety. Governments and industry bodies across North America, Europe, and Asia Pacific are introducing stricter guidelines around workplace ergonomics, compelling organizations to invest in advanced assessment tools. Additionally, the growing awareness among individuals about the long-term health consequences of poor ergonomics is driving adoption in the consumer segment. The convergence of regulatory compliance, employee wellness initiatives, and technological innovation is creating a fertile environment for the sustained growth of the AI-Enhanced Remote Ergonomic Assessment market.




    From a regional perspective, North America currently leads the market, accounting for the largest share due to its early adoption of advanced workplace technologies and a strong corporate emphasis on employee well-being. Europe follows closely, driven by stringent occupational health regulations and a mature enterprise landscape. The Asia Pacific region is emerging as a high-growth market, fueled by rapid digital transformation, increasing workforce participation, and growing investments in health tech. Latin America and the Middle East & Africa are also witnessing steady growth as organizations in these regions recognize the value of AI-driven ergonomic assessments in improving productivity and reducing healthcare costs. This global momentum underscores the market’s vast potential across diverse geographies and industry verticals.





    Component Analysis



    The AI-Enhanced Remote Ergonomic Assessment market is segmented by component into software, hardware, and services, each playing a critical role in delivering comprehensive ergonomic solutions. Software forms the backbone of these systems, encompassing AI algorithms, analytics platforms, and user interfaces that facilit

  18. Workplace Ergonomics Sensor Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jun 28, 2025
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    Dataintelo (2025). Workplace Ergonomics Sensor Market Research Report 2033 [Dataset]. https://dataintelo.com/report/workplace-ergonomics-sensor-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jun 28, 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

    Workplace Ergonomics Sensor Market Outlook



    According to our latest research, the global workplace ergonomics sensor market size reached USD 624.5 million in 2024, demonstrating robust growth momentum across all major regions. The market is projected to expand at a CAGR of 14.2% from 2025 to 2033, with the total market value expected to attain USD 1,770.8 million by 2033. This impressive growth trajectory is primarily fueled by increasing awareness about workplace health and safety, rising incidence of musculoskeletal disorders, and the growing adoption of advanced sensor technologies for real-time monitoring and intervention. As organizations worldwide intensify their focus on employee well-being and operational productivity, the demand for workplace ergonomics sensors continues to surge.




    The primary growth factor driving the workplace ergonomics sensor market is the escalating emphasis on occupational health and safety regulations. Governments and regulatory bodies around the globe are tightening mandates to ensure ergonomic compliance in workplaces, compelling organizations to invest in technologies that monitor, analyze, and improve employee posture and environment. These regulations not only mitigate the risk of work-related injuries but also enhance employee satisfaction and productivity. The integration of ergonomics sensors into workplace furniture and equipment enables organizations to collect actionable data, which can be leveraged to optimize workspace design and reduce absenteeism due to ergonomic-related health issues.




    Another significant catalyst for market expansion is the rapid advancement in sensor technologies and the proliferation of the Internet of Things (IoT). Modern ergonomics sensors are now equipped with sophisticated features such as wireless connectivity, real-time analytics, and AI-driven insights, making them highly effective in detecting posture deviations, fatigue, and environmental hazards. The seamless integration of these sensors with enterprise management systems and wearable devices has made it easier for organizations to monitor employee well-being continuously and intervene proactively. This technological evolution is particularly attractive to sectors like healthcare, manufacturing, and IT, where employee health directly impacts productivity and operational efficiency.




    Furthermore, the ongoing shift towards flexible and remote working models has amplified the need for effective ergonomic solutions. With employees working from diverse locations, organizations are increasingly adopting portable and wearable ergonomics sensors to ensure consistent monitoring and support. These solutions empower employees to maintain optimal posture and comfort regardless of their work environment, thereby reducing the risk of chronic health issues. The rising adoption of cloud-based platforms for data storage and analytics further enhances the scalability and accessibility of ergonomics sensor solutions, enabling organizations to implement comprehensive ergonomic programs across geographically dispersed teams.




    From a regional perspective, North America currently leads the workplace ergonomics sensor market, accounting for the largest share in terms of revenue and adoption rates. This dominance is attributed to the region's stringent occupational safety standards, high awareness levels, and strong presence of leading technology providers. Europe follows closely, driven by proactive government initiatives and a growing emphasis on workplace wellness. The Asia Pacific region is anticipated to witness the fastest growth during the forecast period, fueled by rapid industrialization, increasing investments in workplace infrastructure, and rising awareness about employee health. Emerging economies in Latin America and the Middle East & Africa are also expected to contribute to market growth, albeit at a comparatively moderate pace, as they gradually adopt advanced ergonomic solutions.



    Product Type Analysis



    The product type segment of the workplace ergonomics sensor market is characterized by a diverse range of solutions designed to cater to varying workplace requirements. Wearable sensors have gained significant traction due to their ability to provide real-time feedback on posture and movement. These devices, often integrated into clothing or accessories, continuously monitor the user's physical activity and alert them to incorrect postures or prolonged inactivi

  19. f

    Data from: The development and validation of an ergonomics index for...

    • figshare.com
    xls
    Updated Jun 1, 2023
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    Juan Paulo Barbieri; José Fernando Schlosser; Marcelo Silveira de Farias; Giácomo Müller Negri; Luis Fernando Vargas de Oliveira (2023). The development and validation of an ergonomics index for assessing tractor operator work place [Dataset]. http://doi.org/10.6084/m9.figshare.5861406.v1
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Juan Paulo Barbieri; José Fernando Schlosser; Marcelo Silveira de Farias; Giácomo Müller Negri; Luis Fernando Vargas de Oliveira
    License

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

    Description

    ABSTRACT: This study aimed to develop and validate an ergonomics index for the operator workplace assessment of agricultural tractors sold in the Brazilian market. To develop the ergonomics index, the operator work places were assessed for compliance with current, national and international, safety and ergonomics standards. The following standards were analyzed to develop ergonomics index: ISO 15077 (1996), which regulates the position of operator controls; ABNT NBR ISO 4254-1(2015) and ABNT NBR ISO 4252 (2011), which regulate the access to operator workplaces; and NR 12 (2010), which determines the mandatory items of operator workplaces.Thirty-four operator work places of 152 models of new agricultural tractors sold in the Brazilian market were analyzed in this study. Ergonomics index was developed and validated using these standards, and the findings enabled the ranking of agricultural tractors. Therefore, the proposed ergonomics index proved feasible and may be applied to other agricultural machines.

  20. Global import data of Ergonomic

    • volza.com
    csv
    Updated Jun 27, 2025
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    Volza FZ LLC (2025). Global import data of Ergonomic [Dataset]. https://www.volza.com/p/ergonomic/import/import-in-india/coo-china/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset provided by
    Volza
    Authors
    Volza FZ LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    702 Global import shipment records of Ergonomic with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

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YJA Yeow; YJA Yeow (2021). Workplace Ergonomics Problems and Solutions: Working from Home [Dataset]. http://doi.org/10.17026/DANS-X7U-TJNQ

Data from: Workplace Ergonomics Problems and Solutions: Working from Home

Related Article
Explore at:
ods(1716111), zip(15571), tsv(3252)Available download formats
Dataset updated
Sep 10, 2021
Dataset provided by
DANS Data Station Social Sciences and Humanities
Authors
YJA Yeow; YJA Yeow
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Description

Background: Due to the Covid-19 pandemic, in 2020, many employees requested to work from home (WFH). During this WFH period, some employees encountered health issues related to sprains and neck or back pain owing to poor working conditions at home. As the WFH trend may continue over a prolonged period, the actual causes and solutions to ergonomic issues must be addressed to reduce injuries.Purpose: This study aims to identify the ergonomic issues encountered when working from home and suggest several solutions to minimise these issues.Methods: A qualitative ethnographic methodology was adopted. This study included a focus group discussion among experts from the fields of higher education, healthcare, human resource (HR), and ergonomics. The most common ergonomic issues identified were based on diagnoses and observations in previous studies.Results: The panellists agreed on ergonomics issues—comprising the use of unergonomic chairs, incorrect sitting postures, irregular arrangement of key objects, improper reach distances of the laptop/keyboard/mouse, poor desk designs, footrest absence, distortion/noise, poor lighting, and poor work environment. In the long run, WFH ergonomics issues may lead to burnout, carpal tunnel syndrome or other cumulative trauma disorders, high blood pressure, and stress on the cervical spine and neck. The proposed solutions include a complete WFH ergonomics and wellness checklist for employees and employers, webinar sessions on WFH ergonomics, meet-up sessions with ergonomics or HR experts, workspace rentals for co-workers, implementation of the 20-20-20 rule and job-sharing practices, and the involvement of employers or the government in procuring ergonomic equipment for WFH employees.Conclusions: This is a preliminary study and the researchers are exploring the root causes of WFH ergonomics issues and proposed solutions. While previous studies have examined workplace ergonomics, this study only focuses on WFH ergonomic issues and solutions during the ongoing pandemic.

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