A Directional Stroke Recognition Technique for Mobile Interaction in a Pervasive Computing World

This paper presents a common gestural interface to mobile and pervasive computing devices. We report our development of a novel technique for recognizing input strokes on a range of mobile and pervasive devices, ranging from small devices with low processing capabilities and limited input area to computers with wall-sized displays and an input area as large as can be accommodated by motion-sensing technologies such as cameras. Recent work has included implementing and testing our stroke recognition technique and associated object-tracking by camera. Ongoing and future work includes optimizing our stroke recognition and camera-based objecttracking techniques, developing input based on human body tracking and running extended usability evaluations.