RWTH Aachen University
In this paper, the authors demonstrate a method for activity recognition partially resilient on mobile device orientation, by using data from a mobile phone embedded accelerometer. This method is partially resilient on mobile device orientation, in such a way that a mobile device can be rotated around only one axis for an arbitrary angle. The classifier for activity recognition is built using data from one default orientation. This method introduces a calibration phase in which the phone's orientation is determined.