DocumentCode :
571610
Title :
Kinect Based Dynamic Hand Gesture Recognition Algorithm Research
Author :
Wang, Youwen ; Yang, Cheng ; Wu, Xiaoyu ; Xu, Shengmiao ; Li, Hui
Author_Institution :
Coll. of Inf. Eng., Commun. Univ. of China, Beijing, China
Volume :
1
fYear :
2012
fDate :
26-27 Aug. 2012
Firstpage :
274
Lastpage :
279
Abstract :
In dynamic gesture track recognition, gesture recognition rate has always been a problem, Because the traditional hand gesture recognition in how to separate the hand type from the surrounding environment, and then determine the palm position has been one of the difficult problems. This paper presents a Kinect based dynamic gesture trajectory identification method, use OpenNI where palm is defined as a Kinect node, quickly and accurately get the palm position coordinates, and then use the HMM technology to do gesture model training to improve the recognition rate. The experimental results show that this method of gesture track recognition rate is higher than the traditional.
Keywords :
gesture recognition; hidden Markov models; HMM technology; Kinect based dynamic gesture trajectory identification; Kinect based dynamic hand gesture recognition; OpenNI; dynamic gesture track recognition; gesture model training; gesture recognition rate; palm position; Artificial intelligence; Cybernetics; Man machine systems; Gesture recognition; HMM; Kinect;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
Conference_Location :
Nanchang, Jiangxi
Print_ISBN :
978-1-4673-1902-7
Type :
conf
DOI :
10.1109/IHMSC.2012.76
Filename :
6305680
Link To Document :
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