International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017
p-ISSN: 2395-0072
www.irjet.net
Gesture Acquisition and Recognition of Sign Language Shubhra Shree2 , Ashok Kumar Sahoo2 1Student,
Department of Computer Science, Sharda University, India Professor, Department of Computer Science, Sharda University, India ---------------------------------------------------------------------***--------------------------------------------------------------------2Associate
or official languages of human communication in some countries like the USA, Finland, the Czech Republic, France, the Russian Federation (since 2013) etc [2]. According to the statistics of medical organizations, about 0.1% of the population of any country is absolutely deaf and the most of such people communicate only by sign languages; many people, who were born deaf, even are not able to read. Additionally to conversational sign languages there are also fingerspelling alphabets, which are used to spell words (names, rare words, unknown signs, etc.) letter-by-letter.
Abstract - Differently abled people face a variety of different
issue and problems that cut them off from their surroundings. Regardless of all the advancement, we cannot ignore the fact that the conditions provided by the society for the deaf and hard hearing are still far from being perfect. The communication with deaf and hard hearing by means of written text is not as efficient as it might seem at first. This paper discusses sign recognition with particular emphasis on surveying relevant techniques from the areas of recognition approach, problems tackled and hand tracking which can be applied to each task. The main purpose is to help communication between two groups of people, one hearing impaired and one without any hearing disabilities so that the literate deaf and dumb people will get equal position in our society. Sign Language Recognition has become an active area of research nowadays. Existing challenges and future research possibilities are also highlighted.
Developing algorithms and techniques to correctly recognize a sequence of produced signs and understand their meaning is called sign language recognition (SLR).SLR is a hybrid research area involving pattern recognition, natural language processing, computer vision and linguistics [3]. Sign Language recognition systems can be used as an interface between human being and computer systems. Sign languages are complete natural language with their phonology, morphology, syntax and grammar. A sign language is a visual-gesture language that is developed to facilitate the differently abled persons by creating visual gestures using face, hand, body and arms [4]. Sign language recognition is mainly consisting of three steps: preprocessing, feature extraction and classification. In preprocessing, a hand is detected from sign image or video. In feature extraction, various features are extracted from the image or video to produce the feature vector of the sign. Finally, in the classification, some samples of the images or videos are used for training the classifier then testing the signs in image or video.
Keywords: Sign Language, Acquisition, Recognition, Gesture, Hand I.
INTRODUCTION
Reading is requisite for academic achievement and social participation. Deaf and hard hearing children usually lag behind their fellow with normal hearing in reading development. According to a recent study report by the International Disability and Development Consortium[1], at least half of the world’s 6.5 crore children with disabilities are kept out of schools because little or no money is budgeted for their needs. Disabled children form a major part of the 12.4 crore kids estimated to be out of school by the United Nation's Out-of-School Children Initiative. Therefore, to cope with this scenario various sign languages have been used so that at least the part of deaf and hard hearing people from the group of differently abled persons can communicate well in the society. At present, sign languages are well known as a natural means for verbal communication of the deaf and hard hearing people. There is no universal sign language, and almost each country has its own national sign language and fingerspelling alphabet. All the sign languages use visual clues for human-to-human communication combining manual gestures with lips articulation and facial mimics. They also possess a specific and simplified grammar that is quite different from that spoken languages. Sign languages are spoken (silently) by a hundred million deaf people all over the world. In total, there are at least 138 living sign languages according to the Ethnologue catalogue, and many of them are national (state)
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There are varied techniques available which can be used for recognition of sign language. Different research scholars have used different techniques according to the nature of sign language and the signs considered. A lot of work has been done on static sign but unfortunately, till date not much research work has been reported for dynamic sign in Indian Sign Language. Aiming to analyze existing technology on the market and under research, we present a brief description of the latest significant features that are the most referenced in the literature.
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