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A WEARABLE NEURAL INTERFACE FOR REAL TIME TRANSLATION OF SPANISH DEAF SIGN LANGUAGE TO VOICE AND WRITING

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Author(s): R. Villa-Angulo | H. Hidalgo-Silva

Journal: Journal of Applied Research and Technology
ISSN 1665-6423

Volume: 3;
Issue: 3;
Start page: 170;
Date: 2005;
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Keywords: Neural Networks | Human-Computer Interfaces | Signed Languages.

ABSTRACT
This paper describes a work related to the design and implementation of a communication tool for persons withspeech and hearing disabilities. This tool provides to the user a Human-Computer interface capable of the captureand recognition of gestures belonging to the Mexican Spanish Sign Alphabet. To capture the manual expressions, adata-glove constructed to sense the position of fifteen articulations of one of the user’s hand is described. Alocation system that detects the position and movements of the hand with respect to the user’s body is alsoconstructed. The data-glove and location system signals are processed by a pair of programmable automatons. Theautomaton’s outputs are sent to a personal computer that realizes the gesture recognition and interpretation tasks.Artificial neural network techniques are utilized to implement the mappings of the space of information generatedby the instruments to the interpretation space, where the representation of the gestures are found. Once a gestureis captured and interpreted, it is presented in written form through a screen mounted in the clothes of the user,and in verbal form by a speaker.
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