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