American Sign Language Recognition using Hand Gloves
نویسندگان
چکیده
منابع مشابه
Hand Gesture Recognition using Sign Language
Sign Language is mostly used by deaf and dumb people. In order to improve the man machine interaction, sign language can be used as a way for communicating with machines. Most of the applications which enable sign language processing are using data gloves and other devices for interacting with computers. This restricts the freedom of users. So to avoid this, this system we capture live video st...
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Wouldn’t it be great if computers could understand sign language (and Auslan in particular)? This would open the door for some interesting applications for both Deaf and non-Deaf people. We are seeing the development of interesting technologies for speech recognition, but no real commercial products for sign recognition. There are a number of commercial reasons for this (like the size of the ma...
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The paper aims to propose a novel technique that recognizes finger spelled American Sign Language (ASL) gestures. The external characteristic of hand, i.e. shape based algorithm is being used for recognition. Since almost all of the alphabets have a unique shape, each alphabet is characterized on the basis landmark points marked on the boundary of the hand shown by the signer. A training set is...
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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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ژورنال
عنوان ژورنال: International Journal for Research in Applied Science and Engineering Technology
سال: 2019
ISSN: 2321-9653
DOI: 10.22214/ijraset.2019.5147