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Proceedings Paper

Human activity recognition by smartphones regardless of device orientation
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Paper Abstract

A new method for activity recognition using smartphones is proposed. Using three-axes accelerometer and gyroscope signals, the proposed system is able to identify low level activities with a high level of accuracy. The method works regardless of orientation of the device with respect to the body part to which it is attached. The algorithm achieves a high level of accuracy when trained on a small set of users and tested on an unknown user.

Paper Details

Date Published: 18 February 2014
PDF: 12 pages
Proc. SPIE 9030, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2014, 90300I (18 February 2014); doi: 10.1117/12.2043180
Show Author Affiliations
Jafet Morales, The Univ. of Texas at San Antonio (United States)
David Akopian, The Univ. of Texas at San Antonio (United States)
Sos Agaian, The Univ. of Texas at San Antonio (United States)


Published in SPIE Proceedings Vol. 9030:
Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2014
Reiner Creutzburg; David Akopian, Editor(s)

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