ArticleScientific data2022
Daily motionless activities: A dataset with accelerometer, magnetometer, gyroscope, environment, and GPS data.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Harnessing Smartphone Sensors for Enhanced Road Safety: A Comprehensive Dataset and Review.Scientific data · 2025Article
- A hybrid deep approach to recognizing student activity and monitoring health physique based on accelerometer data from smartphones.Scientific reports · 2024Article
- A dataset of ambient sensors in a meeting room for activity recognition.Scientific data · 2024Article
- Semantic representation and comparative analysis of physical activity sensor observations using MOX2-5 sensor in real and synthetic datasets: a proof-of-concept-study.Scientific reports · 2024Article
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The dataset presented in this paper presents a dataset related to three motionless activities, including driving, watching TV, and sleeping. During these activities, the mobile device may be positioned in different locations, including the pants pockets, in a wristband, over the bedside table, on a table, inside the car, or on other furniture, for the acquisition of accelerometer, magnetometer, gyroscope, GPS, and microphone data. The data was collected by 25 individuals (15 men and 10 women) in different environments in Covilhã and Fundão municipalities (Portugal). The dataset includes the sensors' captures related to a minimum of 2000 captures for each motionless activity, which corresponds to 2.8 h (approximately) for each one. This dataset includes 8.4 h (approximately) of captures for further analysis with data processing techniques, and machine learning methods. It will be useful for the complementary creation of a robust method for the identification of these type of activities.
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Registered trials
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