Human activity recognition by smartphones regardless of device orientation

Jafet Morales; David Akopian; Sos Agaian

doi:10.1117/12.2043180

18 February 2014 Human activity recognition by smartphones regardless of device orientation

Jafet Morales, David Akopian, Sos Agaian

Proceedings Volume 9030, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2014; 90300I (2014) https://doi.org/10.1117/12.2043180
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

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.

Citation Download Citation

Jafet Morales, David Akopian, and Sos Agaian "Human activity recognition by smartphones regardless of device orientation", Proc. SPIE 9030, Mobile Devices and Multimedia: Enabling Technologies, Algorithms, and Applications 2014, 90300I (18 February 2014); https://doi.org/10.1117/12.2043180

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