2011 4th International Conference on Mechatronics (ICOM) 2011
DOI: 10.1109/icom.2011.5937179
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Feature extraction from 2D gesture trajectory in Malaysian Sign Language recognition

Abstract: In this paper, a method to identify hand gesture trajectory in constrained environment is introduced. The method consists of three modules: collection of input images, skin segmentation and feature extraction. To reduce processing time, we compare the absolute difference between two consecutive frames then choose which frames have the highest value. YCbCr colour space is selected as the skin model because it behaves in such a way that the illumination component is concentrated in a single component (Y) while t… Show more

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Cited by 2 publications
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