Smartwatch-based activity recognition: A machine learning approach

Smartwatches and smartphones contain accelerometers and gyroscopes that sense a user's movements, and can help identify the activity a user is performing. Research into smartphone-based activity recognition has exploded over the past few years, but research into smartwatch-based activity recogn...

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Bibliographische Detailangaben

Veröffentlicht in:	2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) 2016-02, p.426-429
Hauptverfasser:	Weiss, Gary M., Timko, Jessica L., Gallagher, Catherine M., Yoneda, Kenichi, Schreiber, Andrew J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accelerometers Conferences Data models Eating Gyroscopes Health Movements Radio frequency Sensors Smart phones Smartphones Tracking Training data Watches
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