Dynamic Hand Gesture Recognition Based on Optical Flow
Jiapin Chen · Jisuanji gongcheng · 2002
Hand gesture recognition is an important component of human-computer interaction. This paper recognizes command gesture-based optical flow PCA (principle component analysis) and DTW (dynamic time warping). Optical flow is computed with block relative algorithm, and then processed with PCA to form low-dimensional projection coefficients. The coefficients are combined with the center position of hand as mixed feature vector. A new weighted distance is defined for this mixed vector, which is then used in DTW for hand gesture matching. The recognition rate on 9 gestures is 92%.