DocumentCode :
1864777
Title :
Gesture Recognition by Using Kinect Skeleton Tracking System
Author :
Baoliang Wang ; Zeyu Chen ; Jing Chen
Author_Institution :
E-Learning Lab., Shanghai Jiao Tong Univ., Shanghai, China
Volume :
1
fYear :
2013
fDate :
26-27 Aug. 2013
Firstpage :
418
Lastpage :
422
Abstract :
With the rapid development of computer technology, these years has witnessed the rapid improvement of the approaches of human computer interaction. How to make the process more natural to the users has become a hot research topic. Nowadays, more and more researchers pay attention to gesture recognition, especially when kinect is invented by Microsoft. Because it is an ordinary and natural way in which we interact with each other. This paper put forward a novel method in which we use an innovative way to abstract and notate the features of two-hand gestures and build Coupled Hidden Markov Models for two-hand gesture recognition. This method can recognize two-hand gestures. Our experiment results demonstrate that it is an effective approach for two-hand gestures recognition.
Keywords :
Markov processes; gesture recognition; human computer interaction; image sensors; image thinning; Kinect skeleton tracking system; computer technology; coupled hidden Markov models; human computer interaction; two hand gesture recognition; Accuracy; Cameras; Computers; Gesture recognition; Hidden Markov models; Skeleton; Vectors; Coupled Hidden Markov Models; gesture recognition; human computer interaction; two-hand gesture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
Type :
conf
DOI :
10.1109/IHMSC.2013.106
Filename :
6643918
Link To Document :
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