A Vision Based Method to Distinguish and Recognize Static and Dynamic Gesture
Zongyuan Zhao, Wanlin Gao, Miaomiao Zhu, Lina Yu · Procedia Engineering · 2012
Vision based gesture recognizing acquired large improvements these years, as bonds of research achievements in labs become practical in factories. However, most of these findings are still restricted to either dynamic gesture or static posture, while the combination of them is always neglected but turns out to be common in practical. In this paper, we consider a vision based system that can interpret both dynamic and static gestures in real-time. Haar-like features and ada boost classifier are used to identify hands in images. Test results showed that when given suitable settings, the method of distinction runs successfully.