Abstract
Sign Language Recognition Using Convexity Defects and Hough Line
Highlights
Sign language is a form of communication used by the deaf and verbally-challenged community
As some signs are represented by the same static hand posture, the system can translate a total of 44 American Sign Language (ASL) including 26 alphabets, 10 numerals and 8 ASL words
The classification of ASL can be achieved by implementing a low computational cost Decision Tree classifier
Summary
Sign language is a form of communication used by the deaf and verbally-challenged community It involves the use of hand, body parts and facial expression to express emotion and to deliver message. It is seldom used by the normal hearing community and as with minority languages, not many are able to understand. Hand gesture and sign language recognition has been an active field of research It can be achieved through vision-based and sensor-based approaches. Vision-based approaches collects images or video frames captured using camera as input of the system. It can be achieved using either appearance-based or model-based approaches. Some common sensors include the using of inertial measurement, electromyography, flex sensors and radar
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