Title :
Rapid recognition of dynamic hand gestures using leap motion
Author :
Yanmei Chen;Zeyu Ding;Yen-Lun Chen;Xinyu Wu
Author_Institution :
Guangdong Provincial Key Laboratory of Robotics and Intelligent System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China
Abstract :
Human Computer Interaction would be much more smooth with the implementation of rapid recognition, the aim of which is to recognize the hand gesture before it is completed. In this paper, a rapid recognition for dynamic hand gestures using leap motion is proposed. The database contains the three-dimensional motion trajectory of the numbers and the alphabet (36 gestures in total) which captured by utilizing a leap motion. In order to enhance the effectiveness of rapid recognition, the SVM algorithm is utilized in the paper. Experimental results show high recognition rate and accuracy of the proposed system.
Keywords :
"Support vector machines","Hidden Markov models","Accuracy","Feature extraction","Human computer interaction","Databases","Gesture recognition"
Conference_Titel :
Information and Automation, 2015 IEEE International Conference on
DOI :
10.1109/ICInfA.2015.7279509
