The number of smartphone users in the United States was forecast to continuously increase between 2024 and 2029 by in total 17.4 million users (+5.61 percent). After the fifteenth consecutive increasing year, the smartphone user base is estimated to reach 327.54 million users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of smartphone users in countries like Mexico and Canada.
The global number of smartphone users in was forecast to continuously increase between 2024 and 2029 by in total 1.8 billion users (+42.62 percent). After the ninth consecutive increasing year, the smartphone user base is estimated to reach 6.1 billion users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of smartphone users in countries like Australia & Oceania and Asia.
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This data base shows the responses of medical students from 7 countries of Latin America, about academic use of smartphones.
Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
License information was derived automatically
Contains video data of ASL signs from PopSign v1.0 game category (test set only).
Video data before landmark data as part of the 2023 Google - Isolated Sign Language Recognition Competition https://www.kaggle.com/competitions/asl-signs See related landmark data here: https://www.kaggle.com/competitions/asl-signs/data
Information below mirrored from original source: https://signdata.cc.gatech.edu/view/datasets/popsign_v1_0
95% of deaf children are born to hearing parents. Since many hearing parents do not know sign, these deaf children are at risk for language acquisition delays resulting in cognitive issues. We are making an educational smartphone game PopSign that helps hearing parents practice their signing vocabulary.
Our dataset is the largest collection of isolated sign videos collected using mobile phones. We are using the data to train recognition models for use in smartphone applications, including the PopSign game. PopSign and related educational technology teach hearing parents and deaf children to sign, reducing developmental problems.
From original paper:
PopSign ASL v1.0 collects examples of 250 isolated American Sign Language signs using the selfie camera on Pixel 4A smartphones in a variety of environments. It is the largest isolated sign language dataset publicly available, the first to focus on one-handed signing with smartphones, and one of the few of its size that has been manually reviewed.
The population share with mobile internet access in North America was forecast to increase between 2024 and 2029 by in total 2.9 percentage points. This overall increase does not happen continuously, notably not in 2028 and 2029. The mobile internet penetration is estimated to amount to 84.21 percent in 2029. Notably, the population share with mobile internet access of was continuously increasing over the past years.The penetration rate refers to the share of the total population having access to the internet via a mobile broadband connection.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the population share with mobile internet access in countries like Caribbean and Europe.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
FSboard is an American Sign Language fingerspelling dataset situated in a mobile text entry use case, collected from 147 paid and consenting Deaf signers using Pixel 4A selfie cameras in a variety of environments. At >3 million characters in length and >250 hours in duration, FSboard is the largest fingerspelling recognition dataset to date by a factor of >10x.
We previously hosted a Kaggle competition using MediaPipe Holistic landmarks for the FSboard data; this release now includes the underlying RGB videos and val/test sets.
See the our paper for a more complete exposition of the dataset: FSboard: Over 3 million characters of ASL fingerspelling collected via smartphones
The dataset consists of several categories of synthetically generated phrases (examples in the table below, not real PII) recorded as video clips of ASL fingerspelling (example frames in the figure below, faces blurred here but not in the dataset).
Directory | Category | Example |
---|---|---|
"dmk " | MacKenzie phrases | prevailing wind from the east |
"daun " | URLs | /dfinance/list.asp?id=418/ |
Addresses | 9841 gritt hill | |
Phone Numbers | 166-893-6320 | |
Names | mohammed kim |
https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F20954272%2F2a7512937441315b8ddf742e9d02195d%2Ffs-blurred.png?generation=1739550608040254&alt=media" alt="">
While facial expressions are an essential component of sign language and are therefore included in the dataset, we ask that you blur the signers’ faces when publicizing examples. You should not attempt to reidentify the signers or use their likenesses to generate and publish other content (deepfakes). Please be culturally respectful of the Deaf/Hard of Hearing community in your use of the dataset and do not exaggerate the significance of improving ASL fingerspelling performance, which is only one small component of American Sign Language.
Landmarks were extracted using MediaPipe Holistic . They are provided as tf.train.SequenceExample entries in TFRecordio files. There is also a script which converts these TFRecordio files to Parquet files in a similar format to the one used in the previous Kaggle Competition. Since each entry in the Parquet file represents a single landmark frame, the script also produces a supplemental csv file with video level information.
The synthetic URLs generated in the dataset were created by recombining parts from real URLs. As such, the full breadth of content available on the internet is represented. It is important not to infantilize the Deaf community, and therefore important to ensure that any applications in this space is able to produce arbitrary output. Imagine the frustration when your keyboard r*****s to produce certain ducking words. However, it's also important to ensure that an application doesn't easily produce offensive unintended content. In an effort to facilitate people making sane decisions with this data, we've run a sensitive content filter and keyword searches on the phrases used and manually reviewed the result to produce a boolean tag "sensitiveContent" which is available in the json files. Please ensure that the Deaf community is involved in the creation of any applications targeted to them.
If you use FSboard in your work, please cite:
@misc{georg2024fsboard3millioncharacters,
title={FSboard: Over 3 million characters of ASL fingerspelling collected via smartphones},
author={Manfred Georg and Garrett Tanzer and Saad Hassan and Maximus Shengelia and Esha Uboweja and Sam Sepah and Sean Forbes and Thad Starner},
year={2024},
eprint={2407.15806},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2407.15806},
}
At Driver Technologies, we are dedicated to harnessing advanced technology to gather anonymized critical driving data through our innovative dash cam app, which operates seamlessly on end users' smartphones. Our Hard Braking Telematics Data offering is a key resource for understanding driver behavior and improving safety on the roads, making it an essential tool for various industries.
What Makes Our Data Unique? Our Hard Braking Data is distinguished by its real-time collection capabilities, utilizing the built-in accelerometer and gyroscope sensors of smartphones to capture telematics during driving. This data reflects instances of hard braking events, which are key indicators of aggressive driving behavior and potential risks on the road. Through our dataset, gain access to videos, processed through our computer vision model, of drivers hard braking and/or a telematics-only trip with an instance of a hard brake. By providing data on braking events, our dataset empowers clients to perform in-depth analysis.
How Is the Data Generally Sourced? The data is sourced directly from users who use our dash cam app. As users drive, our app monitors and records telematics data, ensuring that the information is both authentic and representative of real-world driving conditions.
Primary Use-Cases and Verticals Driver Behavior Analysis: Organizations can leverage our telematics data to analyze driving habits and identify trends in aggressive driving behavior. Improving Risk Assessment: Insurers can utilize our dataset to refine their risk assessment models. By understanding the frequency and context of hard braking events, they can better evaluate driver risk profiles, leading to more accurate premium pricing and improved underwriting processes.
Integration with Our Broader Data Offering The Hard Braking Data is a crucial component of our broader data offerings at Driver Technologies. It complements our extensive library of driving data collected from various vehicles and road users, creating a comprehensive data ecosystem that supports multiple verticals, including insurance, automotive technology, and smart city planning.
In summary, Driver Technologies' Hard Braking Data provides a unique opportunity for data buyers to access high-quality, actionable insights that drive innovation across mobility. By integrating our Hard Braking with other datasets, clients can gain a holistic view of transportation dynamics, enhancing their analytical capabilities and decision-making processes.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Descriptive summary of dataset using median values.
The average time spent daily on a phone, not counting talking on the phone, has increased in recent years, reaching a total of * hours and ** minutes as of April 2022. This figure was expected to reach around * hours and ** minutes by 2024.
Between 2015 and 2021, regardless of their age, the share of children owning a smartphone in the United States grew. During the 2021 survey, it was found that 31 percent of responding 8-year-olds owned a smartphone, up from only 11 percent in 2015.
Switzerland is leading the ranking by population share with mobile internet access , recording 95.06 percent. Following closely behind is Ukraine with 95.06 percent, while Moldova is trailing the ranking with 46.83 percent, resulting in a difference of 48.23 percentage points to the ranking leader, Switzerland. The penetration rate refers to the share of the total population having access to the internet via a mobile broadband connection.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).
The global smartphone penetration in was forecast to continuously increase between 2024 and 2029 by in total 20.3 percentage points. After the fifteenth consecutive increasing year, the penetration is estimated to reach 74.98 percent and therefore a new peak in 2029. Notably, the smartphone penetration of was continuously increasing over the past years.The penetration rate refers to the share of the total population.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the smartphone penetration in countries like North America and the Americas.
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The number of smartphone users in the United States was forecast to continuously increase between 2024 and 2029 by in total 17.4 million users (+5.61 percent). After the fifteenth consecutive increasing year, the smartphone user base is estimated to reach 327.54 million users and therefore a new peak in 2029. Notably, the number of smartphone users of was continuously increasing over the past years.Smartphone users here are limited to internet users of any age using a smartphone. The shown figures have been derived from survey data that has been processed to estimate missing demographics.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of smartphone users in countries like Mexico and Canada.