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Gesturing is one of the natural modes of human communication. Signs producedby gestures can have a basic meaning coupled with additional information thatis layered over the basic meaning of the sign. Sign language is an importantexample of communicative gestures that are highly structured and well acceptedacross the world as a communication medium for deaf and dumb. In this paper, anonline recognition scheme is proposed to interpret the standard numeric signlanguage comprising of 10 basic hand symbols. A web camera is used to capturethe real time hand movements as input to the system. The basic meaning of thehand gesture is extracted from the input data frame by analysing the shape ofthe hand, considering its orientation, movement and location to be fixed. Theinput hand shape is processed to identify the palm structure, fingertips andtheir relative positions and the presence of the extended thumb. A2-dimensional skeletal model is generated from the acquired shape informationto represent and subsequently interpret the basic meaning of the hand gesture.

Online interpretation of numeric sign language using 2-d skeletal model