Hand Gesture Recognition for Sign Language: A New Higher Order Fuzzy HMM ApproachHand Gesture Recognition for Sign Language: A New Higher Order Fuzzy HMM Approach
نویسندگان
چکیده
منابع مشابه
Hand Gesture Recognition for Sign Language : A New Higher Order Fuzzy HMM Approach
Sign Languages (SL) are the most accomplished forms of gestural communication. Therefore, their automatic analysis is a real challenge, which is interestingly implied to their lexical and syntactic organization levels. 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 v...
متن کاملHand Gesture Recognition for Sign Language: A New Hybrid Approach
This paper proposes two new approaches of hand gesture recognition which will recognize sign language gestures in a real time environment. A hybrid feature descriptor, which combines the advantages of SURF & Hu Moment Invariant methods, is used as a combined feature set to achieve a good recognition rate along with a low time complexity. To further increase the recognition rate and make the rec...
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For deaf and dumb people, Sign language is the only way of communication. With the help of sign language, these physical impaired people express their emotions and thoughts to other person. Since for the common person, it is difficult to understand these language therefore often these physically challenged has to keep the translator along with them to communicate with the world. Hence sign lang...
متن کاملHand 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...
متن کاملDeep Sign: Hybrid CNN-HMM for Continuous Sign Language Recognition
This paper introduces the end-to-end embedding of a CNN into a HMM, while interpreting the outputs of the CNN in a Bayesian fashion. The hybrid CNN-HMM combines strong discriminative abilities of CNNs with sequence modeling capabilities of HMMs. Most current approaches in the field of gesture and sign language recognition disregard the necessity of dealing with sequence data both for training a...
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ژورنال
عنوان ژورنال: International Journal of Engineering and Technology
سال: 2016
ISSN: 1793-8236
DOI: 10.7763/ijet.2016.v6.877