18 February 2014 Human activity recognition by smartphones regardless of device orientation
Author Affiliations +
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.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jafet Morales, Jafet Morales, David Akopian, David Akopian, Sos Agaian, 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
PROCEEDINGS
12 PAGES


SHARE
Back to Top