关键词: 指形轮廓, 人机交互装配, 指形拟合, 检测方法, 图像处理

Abstract: The recognition and description of human hand’s biological characteristics in human computer interaction assembly system is the basis of the description of the hand assembly action and the behavior understanding. The template contour coordinates are given by the skin color recognition results based on the skin color modeling and identification, feature model learning on the knuckles. The local rotation rate and point by point vector product of hand contour chain are calculated. Describe the contour features of hand knuckle for point by point comparison method modeling. The position of fingertip and finger root is detected and inferred based on the experience of finger biological structure. The preliminary identification of finger contour feature is realized. The preliminary orientation of the finger is completed by the hand finger shape fitting, and the position and orientation of the finger are analyzed. Hand image information fusion is carried out on the basis of multi feature. Combined with knuckle position detecting by the hand knuckle learning model and adaptive threshold knuckle recognition, the finger shape positioning information is modified to improve the accuracy of detection. Experimental results show that the proposed method is feasible to detect the finger contour.

Key words: hand finger outline, human-computer interaction assembling, finger shape fitting, detection method, picture processing