A Hand Direction Vector Extraction Method Based on K Vector and K-medoids Clustering Algorithm

摘要

This paper proposed a method of computing the hand direction vector. At first, using K-vector method, compute the K-slope of all the points on the contour to get a series of peak point sets; Then, cluster the sets which have been obtained through K-medoids algorithm; At last, detect the pointing direction of each fingertip from the clustering information, and get the hand's direction by it. The experiment shows that the method achieves the precise positioning of hand direction in palm contours.