Hand pose identification from monocular image for sign language recognition

Bhuyan, M. K.; Kar, Mithun Kumar; Neog, Debanga Raj

doi:10.1109/icsipa.2011.6144163

Cited by 22 publications

(11 citation statements)

References 11 publications

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“…[9] In these, showing of the hand image was performed to separate the hand postures by considering physiological confinements of hand viz., finger joint improvements with high level of chance, joint point limits, advancement sorts, flexion and adduction/abduction of metatarsophalangeal (MP) joints. [10] We have proposed a system, which can see the different alphabets of Indian Sign Language for Human-Computer participation giving more exact results in any occasion possible time. [11] II.…”

Section: Introductionmentioning

confidence: 99%

Design and Development of Sign Language Communication Gadget via Structural Redesigning of Artificial Intelligence Technique

Walde¹

2018

IJRASET

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Section: Introductionmentioning

confidence: 99%

Design and Development of Sign Language Communication Gadget via Structural Redesigning of Artificial Intelligence Technique

Walde¹

2018

IJRASET

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“…In India, the estimate of number of persons with disabilities varies from 2% to about 8% of the population according to census 2011. More than 1 million deaf adults and around 0.5 million deaf children in India uses Sign Language (ISL) as a mode of communication [1]. ISL can be used to break barriers in the personal, educational, vocational and social spheres.…”

Section: Introductionmentioning

confidence: 99%

A comprehensive review on automation of Indian sign language

Verma

Srivastava

Kumar³

2015

2015 International Conference on Advances in Computer Engineering and Applications

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Hearing impaired people uses signs to communicate with others. Just like verbally spoken languages, there is no universal language as every country has its own spoken language so every country has their own dialect of sign language and in India they uses Indian Sign Language (ISL). In the last few years, researchers take interest in the automation of ISL. Some attempts have been made in India and other countries. In this study we try to explore and analyze the work have been made with automation of sign language and gesture recognition. We tried to explore the challenges comes in the real time sign recognition system. This review also includes the progress of standard corpus creation of the ISL.

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“…Accuracy rate obtained was 96%. Bhuyan [2] achieved a success rate of 93% in his paper where he used Homogenous Texture Descriptors to calculate the inflexive positions of fingers and abduction angle variations were also considered. Features in [3] were extracted using Gabor filter and PCA and ANN used for recognition of the Ethiopian Sign Language with a high success rate of 98.5%.…”

Section: Introductionmentioning

confidence: 99%

Recognition of Indian Sign Language in Live Video

Singha¹,

Das²

2013

IJCA

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Sign Language Recognition has emerged as one of the important area of research in Computer Vision. The difficulty faced by the researchers is that the instances of signs vary with both motion and appearance. Thus, in this paper a novel approach for recognizing various alphabets of Indian Sign Language is proposed where continuous video sequences of the signs have been considered. The proposed system comprises of three stages: Preprocessing stage, Feature Extraction and Classification. Preprocessing stage includes skin filtering, histogram matching. Eigen values and Eigen Vectors were considered for feature extraction stage and finally Eigen value weighted Euclidean distance is used to recognize the sign. It deals with bare hands, thus allowing the user to interact with the system in natural way. We have considered 24 different alphabets in the video sequences and attained a success rate of 96.25%.

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Hand pose identification from monocular image for sign language recognition

Cited by 22 publications

References 11 publications

Design and Development of Sign Language Communication Gadget via Structural Redesigning of Artificial Intelligence Technique

Design and Development of Sign Language Communication Gadget via Structural Redesigning of Artificial Intelligence Technique

A comprehensive review on automation of Indian sign language

Recognition of Indian Sign Language in Live Video

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