Title :
Vision Based Hand Gesture Recognition
Author :
Yanmin Zhu ; Zhibo Yang ; Bo Yuan
Author_Institution :
Intell. Comput. Lab., Tsinghua Univ., Shenzhen, China
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;
Conference_Titel :
Service Sciences (ICSS), 2013 International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4673-6258-0
DOI :
10.1109/ICSS.2013.40