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SOM-based hand gesture recognition for virtual interactions

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6 Author(s)
Shuai Jin ; Qiushi Acad. for Adv. Studies, Zhejiang Univ., Hangzhou, China ; Yi Li ; Guang-ming Lu ; Jian-xun Luo
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In nowadays, hand gestures can be used as a more natural and convenient way for human computer interaction. The direct interface of hand gestures provides us a new way for communicating with the virtual environment. In this paper, we propose a new hand gesture recognition method using self-organizing map (SOM) with datagloves. The SOM method is a type of machine learning algorithm. It deals with the raw data sampled from datagloves as input vectors, and builds a mapping between these uncalibrated data and gesture commands. The results show the average recognition rate and time efficiency when using SOM for dataglove-based hand gesture recognition. A series of tasks in virtual house illustrate the performance of our interaction method based on hand gesture recognition.

Published in:

VR Innovation (ISVRI), 2011 IEEE International Symposium on

Date of Conference:

19-20 March 2011

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