A novel feature extracting method for dynamic gesture recognition based on support vector machine
Yuanrong Xu, Qianqian Wang, Xiao Ping Bai, Yen-Lun Chen, Xinyu Wu · 2014
In this paper, we propose a method based on the SVM algorithm to recognize dynamic hand gestures. The information of motion trajectory is captured by a leap motion in three-dimension space. A new methodology of feature extracting is proposed to guarantee the length of samples being the same. The elements of feature vectors are ranged according to two different criteria: one is the amplitude of the variation of orientation angles, and the other criterion is the order of the appearance of features. Experimental results show that this method can classify the dynamic hand gestures effectively.