Interpretation of Visual Hand Gestures based on Equivalent Digital Logic
The core concept of real time hand gesture recognization is gesturing object palm then identifying gestures using Equivalent Digital Logic (EDL). The paper proposed an algorithm visually segments palm of any signer from hand used for gesturing. An algorithm distinguishes the area of interest, i.e. the palm and fingers, from the rest of the hand and the background, without the use of any markers or sensors and recognises forty-one hand gestures. Light compensation techniques are used to identify hand gestures in cluttered backgrounds and varying illumination conditions. The proposed method is deployed on Raspberry Pi (R-Pi) platform and verified by performing hand gestures equivalent to ISL gestures in front of a web camera, connected to R-Pi. The prominent features like fingertip, angle used in EDL improves proposed hand gesture recognization accuracy. The system is also designed to add new hand gestures on the fly.
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