Changing interfaces using natural arm Posture - A new interaction paradigm for pedestrian navigation systems on mobile devices

Abstract

This paper presents a new interaction technique, which is based on arm posture recognition, for mobile computing devices to switch between different visualization modes seamlessly. We implemented a pedestrian navigation system on Pocket PC, which is connected to a GPS receiver and an inertial orientation tracker. In the global coordinate system, user's position is tracked with GPS data, and in the local coordinate system user's arm posture is mapped into two application dependent states with inertial orientation tracker data. Hence, natural interaction and different levels of information is provided by processing orientation tracker data. As unnecessary computation and rendering increase power consumption in small devices, we introduced another state to our system, which saves battery according to the user's idle arm posture. © Springer-Verlag Berlin Heidelberg 2007.