scholarly journals Continuous Hand Gesture Segmentation and Co-articulation Detection

2006 ◽  
pp. 564-575 ◽  
Author(s):  
M. K. Bhuyan ◽  
D. Ghosh ◽  
P. K. Bora
Keyword(s):  
Hand Gesture ◽  
Gesture Segmentation

A Study of Hand Gesture Segmentation Techniques for Sign Languages

2020 ◽  
Vol 17 (4) ◽  
pp. 1764-1769
Author(s):  
S. Gobhinath ◽  
T. Vignesh ◽  
R. Pavankumar ◽  
R. Kishore ◽  
K. S. Koushik
Keyword(s):  
Sign Language ◽  
Gesture Recognition ◽  
Hand Gesture Recognition ◽  
Morphological Processing ◽  
Hand Gesture ◽  
Hand Detection ◽  
Hand Segmentation ◽  
Human Gestures ◽  
Gesture Segmentation ◽  
Physically Challenged

This paper presents about an overview on several methods of segmentation techniques for hand gesture recognition. Hand gesture recognition has evolved tremendously in the recent years because of its ability to interact with machine. Mankind tries to incorporate human gestures into modern technologies like touching movement on screen, virtual reality gaming and sign language prediction. This research aims towards employed on hand gesture recognition for sign language interpretation as a human computer interaction application. Sign Language which uses transmits the sign patterns to convey meaning by hand shapes, orientation and movements to fluently express their thoughts with other person and is normally used by the physically challenged people who cannot speak or hear. Automatic Sign Language which requires robust and accurate techniques for identifying hand signs or a sequence of produced gesture to help interpret their correct meaning. Hand segmentation algorithm where segmentation using different hand detection schemes with required morphological processing. There are many methods which can be used to acquire the respective results depending on its advantage.

A Study on Hand Gesture Segmentation Approaches

2021 ◽  
pp. 641-650
Author(s):  
Jhuma Sunuwar ◽  
Samrjeet Borah ◽  
Sweta Agarwal ◽  
Sanjoy Ghatak
Keyword(s):  
Hand Gesture ◽  
Gesture Segmentation
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