关键词: 手指指尖识别, Kinect, 深度信息, 骨骼信息, k曲率算法

Abstract: Aiming at the problem that gesture recognition technology based on video requires a lot on hand contour and fingertip, a hand contour extraction method and fingertip recognition method based on depth and skeleton data is presented. It utilizes Microsoft Kinect to capture depth and skeleton data, converts 3D information of each skeleton point into 2D on depth map. According to the skeleton data of human body the position of hand is found quickly, and the contour extraction method based on depth thresholds is used to segment hand contour from the background. The k curvature algorithm is used to detect the position of the fingertip at last. Experimental results show that the method can detect the contour of straight and curved fingers successfully, and it can be used in a dark environment.

Key words: fingertip recognition, Kinect, depth data, skeleton data, k curvature algorithm