Human activity recognition by smartphones regardless of device orientation
Jafet Morales, David Akopian, Sos С. Agaian · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014
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.