Real Time Hand Gesture Recognition by Skin Color Detection for American Sign Language

2019 ◽  
Author(s):  
Shomi Khan ◽  
M. Elieas Ali ◽  
Sourav Das ◽  
Md Mohsinur Rahman
Keyword(s):  
American Sign Language ◽  
Real Time ◽  
Sign Language ◽  
Gesture Recognition ◽  
Skin Color ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
American Sign ◽  
Skin Color Detection ◽  
Color Detection

Hand Gesture Recognition Algorithm: A Real-Time Human-Body-Based Approach

2013 ◽  
Vol 303-306 ◽  
pp. 1338-1343
Author(s):  
Xin Xiong Li ◽  
Yi Xiong ◽  
Zhi Yong Pang ◽  
Di Hu Chen
Keyword(s):  
Real Time ◽  
Gesture Recognition ◽  
Human Body ◽  
Skin Color ◽  
Average Rate ◽  
Vital Role ◽  
Recognition Algorithm ◽  
Hand Gesture Recognition ◽  
High Tech ◽  
Hand Gesture

Despite the appearance of high-tech human computer interface (HCI) devices, pattern recognition and gesture recognition with single camera are still playing vital role in research. A real-time human-body based algorithm for hand gesture recognition is proposed in this paper. The basis of our approach is a combination of moving object segmentation process and skin color detector based on human body structure to obtain the moving hands from input images, which is able to deal with the problem of complex background and random noises, and a rotate correction process for better finger detection. With ten fingers detected, more than 1000 gestures can be recognized before concerning motion paths. This paper includes experimental results of five gestures, which can be extended to other conditions. Experiments show that the algorithm can achieve a 99 percent recognition average rate and is suitable for real-time applications.

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