18 February 2014 Human activity recognition by smartphones regardless of device orientation
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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.
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Jafet Morales, David Akopian, 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); doi: 10.1117/12.2043180; https://doi.org/10.1117/12.2043180
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