Physical activity monitoring with mobile phones

Abstract : The rich sensing ability of smart mobile phones brings an unique opportunity to detect and long-term monitor people's physical activities. However, with mobile phone the application has to comply with people's usage habit of it and thus capture the right moment to recognize activities, which will potentially cause great in-class variances. As a result, the model potentially becomes complex and costs much computing resources in mobile phone. This paper recognize people's physical activities when they place the mobile phone in the pockets near the pelvic region. Experiment results show that the accuracy could reach 97.7%. To reduce the model size, evaluation of each feature attribution contribution for the accuracy is performed. And the result shows that we can cut the feature dimension from 22 to 8 while obtaining the smallest model
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Conference papers
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Contributor : Médiathèque Télécom Sudparis & Institut Mines-Télécom Business School <>
Submitted on : Wednesday, April 13, 2016 - 3:06:41 PM
Last modification on : Sunday, October 20, 2019 - 9:48:01 AM

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Lin Sun, Daqing Zhang, Nan Li. Physical activity monitoring with mobile phones. ICOST 2011 : 9th International Conference on Smart Homes and Health Telematics, Jun 2011, Montreal, Canada. pp.104 - 111, ⟨10.1007/978-3-642-21535-3_14⟩. ⟨hal-01302042⟩



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