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Real-Time Hand Gesture Recognition Using Finger Segmentation
Joint Authors
Yuan, Y.-B.
Kim, Jung-Tae
Liang, Jianning
Zhang, Jing
Chen, Zhihua
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-25
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Hand gesture recognition is very significant for human-computer interaction.
In this work, we present a novel real-time method for hand gesture recognition.
In our framework, the hand region is extracted from the background with the background subtraction method.
Then, the palm and fingers are segmented so as to detect and recognize the fingers.
Finally, a rule classifier is applied to predict the labels of hand gestures.
The experiments on the data set of 1300 images show that our method performs well and is highly efficient.
Moreover, our method shows better performance than a state-of-art method on another data set of hand gestures.
American Psychological Association (APA)
Chen, Zhihua& Kim, Jung-Tae& Liang, Jianning& Zhang, Jing& Yuan, Y.-B.. 2014. Real-Time Hand Gesture Recognition Using Finger Segmentation. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1048978
Modern Language Association (MLA)
Chen, Zhihua…[et al.]. Real-Time Hand Gesture Recognition Using Finger Segmentation. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1048978
American Medical Association (AMA)
Chen, Zhihua& Kim, Jung-Tae& Liang, Jianning& Zhang, Jing& Yuan, Y.-B.. Real-Time Hand Gesture Recognition Using Finger Segmentation. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1048978
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048978