Colour-based gesture recognition for American Sign Language via Hidden Markov Models
نویسندگان
چکیده
منابع مشابه
Parallel Hidden Markov Models for American Sign Language Recognition
The major challenge that faces American Sign Language (ASL) recognition now is to develop methods that will scale well with increasing vocabulary size. Unlike in spoken languages, phonemes can occur simultaneously in ASL. The number of possible combinations of phonemes after enforcing linguistic constraints is approximately 5:5 108: Gesture recognition, which is less constrained than ASL recogn...
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Hidden Markov models (HMM's) have been used prominently and successfully in speech recognition and, more recently, in handwriting recognition. Consequently , they seem ideal for visual recognition of complex, structured hand gestures such as are found in sign language. We describe an HMM-based system for recognizing sentence level American Sign Language (ASL) which attains a word accuracy of 99...
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An American Sign Language (ASL) recognition system developed based on multidimensional Hidden Markov Models (HMM) is presented in this paper. A CybergloveTM sensory glove and a Flock of Birds motion tracker are used to extract the features of ASL gestures. The data obtained from the strain gages in the glove defines the hand shape while the data from the motion tracker describes the trajectory ...
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Sign language recognition has spawned more and more interest in human–computer interaction society. The major challenge that SLR recognition faces now is developing methods that will scale well with increasing vocabulary size with a limited set of training data for the signer independent application. The automatic SLR based on hidden Markov models (HMMs) is very sensitive to gesture's shape inf...
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Understanding human motions can be posed as a pattern recognition problem. Humans express time-varying motion patterns (gestures), such as a wave, in order to convey a message to a recipient. If a computer can detect and distinguish these human motion patterns, the desired message can be reconstructed, and the computer can respond appropriately. This thesis describes an approach to recognize do...
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ژورنال
عنوان ژورنال: Vision Letters
سال: 2015
ISSN: 2369-6753
DOI: 10.15353/vsnl.v1i1.49