Presentation 2012-02-27
A Real-time Living Activity Recognition System by Using Sensors on a Mobile Phone and its Cooperation Services with Cloud Computing
Kazushige OUCHI, Miwako DOI,
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Abstract(in English) We propose a real-time living activity recognition method using only off-the-shelf sensors, namely, an accelerometer and a microphone, which are commonly applied in mobile phones. The proposed method firstly estimates a user's movement condition such as "walking," "working" and "quiet" roughly by acceleration sensing. Secondly, it classifies the working condition in detail by acoustic sensing when it estimates the condition to be "working" by acceleration sensing. We developed a prototype system to recognize the user's living activity in real time and conducted two experiments to confirm the feasibility of the proposed method. As a result of the first experiment, three movement conditions were classified with more than 95% accuracy by acceleration sensing. And it classified working into seven conditions with 85.9% accuracy on average by acoustic sensing. Moreover, the result of the second experiment shows that it is effective to adopt instance-based recognition according to the assumed application.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Mobile Phone / Accelerometer / Microphone / Activity Recognition
Paper # CNR2011-30
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Conference Information
Committee CNR
Conference Date 2012/2/20(1days)
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Paper Information
Registration To Cloud Network Robotics (CNR)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Real-time Living Activity Recognition System by Using Sensors on a Mobile Phone and its Cooperation Services with Cloud Computing
Sub Title (in English)
Keyword(1) Mobile Phone
Keyword(2) Accelerometer
Keyword(3) Microphone
Keyword(4) Activity Recognition
1st Author's Name Kazushige OUCHI
1st Author's Affiliation Corporate Research & Development Center, Toshiba Corporation()
2nd Author's Name Miwako DOI
2nd Author's Affiliation Corporate Research & Development Center, Toshiba Corporation
Date 2012-02-27
Paper # CNR2011-30
Volume (vol) vol.111
Number (no) 446
Page pp.pp.-
#Pages 6
Date of Issue