DocumentCode
601311
Title
Vision Based Hand Gesture Recognition
Author
Yanmin Zhu ; Zhibo Yang ; Bo Yuan
Author_Institution
Intell. Comput. Lab., Tsinghua Univ., Shenzhen, China
fYear
2013
fDate
11-13 April 2013
Firstpage
260
Lastpage
265
Abstract
Hand gesture recognition has attracted much attention from academia and industry in recent years due to its apparent superiority over traditional techniques in human-computer interaction in terms of convenience. This domain has been investigated from different perspectives among which vision based approaches provide the most natural and intuitive interfaces. This paper presents a comprehensive review on vision based hand gesture recognition, with an emphasis on dynamic hand gestures. First, a brief introduction of the basic concepts and the classification of hand gesture recognition techniques are given. Then, a number of popular related technologies and interesting applications are reviewed. Finally, we give some discussion on the current challenges and open questions in this area and point out a list of possible directions for future work.
Keywords
gesture recognition; image classification; dynamic hand gestures; hand gesture recognition classification; human-computer interaction; vision based hand gesture recognition; Gesture recognition; Hidden Markov models; Image color analysis; Image segmentation; Skin; Solid modeling; Tracking; HCI; classification; detection and segmentation; hand tracking; vision based hand gesture recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Service Sciences (ICSS), 2013 International Conference on
Conference_Location
Shenzhen
ISSN
2165-3836
Print_ISBN
978-1-4673-6258-0
Type
conf
DOI
10.1109/ICSS.2013.40
Filename
6519802
Link To Document