An Accelerometer-Based Gesture Recognition Algorithm and its Application for 3D Interaction

This paper proposes an accelerometer-based gesture recognition algorithm. As a pre-process procedure, raw data output by ac-celerometer should be quantized, and then use discrete Hidden Markov Model to train and recognize them. Based upon this recognition algorithm, we treat gesture as a method of human-computer interaction and use it in 3D interaction subsystem in VR system named VDOM by following steps: establish Gesture-Semantic Map, train standard gestures, finally do recognition. Experimental results show that the system can recognize input gestures quickly with a reliable recognition rate. The users are able to perform most of the typical interaction tasks in virtual environment by this accelerometer-based device.