Wrist Recognition and the Center of the Palm Estimation Based on Depth Camera

When the hand and the forearm enter the available depth range of the depth camera, the data of the hand and the forearm will be extracted together. If process these data as a whole, which maybe affect some important algorithms such as the center of the palm estimation, the orientation of the hand estimation and hand tracing. The paper analyzes the motion features of the wrist and the contour features of the hand, takes advantage of the geometric characteristics of an inscribed rectangle and proposes a wrist recognition algorithm. In order to reduce the computing time of estimating the center of the palm, the paper analyzes the geometric characteristics of an acute triangle and an inscribed circle, combines the features of the hand interaction and proposes a new algorithm of estimating the center of the palm. Proved by the experiments, the wrist recognition algorithm can separate the hand from the forearm well, and the new algorithm of estimating the center of the palm has a distinct advantage over the original algorithms in the performance.