Sparse decomposition for data glove gesture recognition
Na Lv, Xiaohui Yang, Yan Jiang, Tao Xu · 2017
With the development of social life and improvement of computer science and technology, human-computer interaction(HCI) technology has been paid more and more attentions and become an important aspect of research field. Gestures, as a natural ways of communication between people, contain rich information. So gesture recognition has become a branch of human-computer interaction, which has gradually become a hot research topic. This paper presents a method for gesture recognition based on data glove. Sparse decomposition is firstly conducted on the raw data, then a support vector machine(SVM) classifier is applied on the dictionary part to achieve recognition results. The experimental results reveal that our method can achieve very high recognition accuracy on the data glove gestures.