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FineHand: Learning Hand Shapes for American Sign Language Recognition
American Sign Language recognition is a difficult gesture recognition pr...
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Exploiting Recurrent Neural Networks and Leap Motion Controller for Sign Language and Semaphoric Gesture Recognition
In human interactions, hands are a powerful way of expressing informatio...
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A new architecture for hand-worn Sign language to Speech translator
People with speech and hearing impairments often rely on sign language t...
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Position and Rotation Invariant Sign Language Recognition from 3D Point Cloud Data with Recurrent Neural Networks
Sign language is a gesture based symbolic communication medium among spe...
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Avatar-independent scripting for real-time gesture animation
When animation of a humanoid figure is to be generated at run-time, inst...
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A Unified Learning Approach for Hand Gesture Recognition and Fingertip Detection
In human-computer interaction or sign language interpretation, recognizi...
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Active causation and the origin of meaning
Purpose and meaning are necessary concepts for understanding mind and cu...
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Online interpretation of numeric sign language using 2-d skeletal model
Gesturing is one of the natural modes of human communication. Signs produced by gestures can have a basic meaning coupled with additional information that is layered over the basic meaning of the sign. Sign language is an important example of communicative gestures that are highly structured and well accepted across the world as a communication medium for deaf and dumb. In this paper, an online recognition scheme is proposed to interpret the standard numeric sign language comprising of 10 basic hand symbols. A web camera is used to capture the real time hand movements as input to the system. The basic meaning of the hand gesture is extracted from the input data frame by analysing the shape of the hand, considering its orientation, movement and location to be fixed. The input hand shape is processed to identify the palm structure, fingertips and their relative positions and the presence of the extended thumb. A 2-dimensional skeletal model is generated from the acquired shape information to represent and subsequently interpret the basic meaning of the hand gesture.
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