Finger Spelling in Air System for Deaf and Dumb

Finger Spelling in Air System for Deaf and Dumb

Urmila Shrawankar (GHRCE, RTM Nagpur University, Nagpur, India) and Shruti Gedam (Govt. College of Engineering, Amravati, India)
Copyright: © 2018 |Pages: 17
DOI: 10.4018/IJTD.2018010103
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Abstract

Finger spelling in air helps user to operate a computer in order to make human interaction easier and faster than keyboard and touch screen. This article presents a real-time video based system which recognizes the English alphabets and words written in air using finger movements only. Optical Character Recognition (OCR) is used for recognition which is trained using more than 500 various shapes and styles of all alphabets. This system works with different light situations and adapts automatically to various changing conditions; and gives a natural way of communicating where no extra hardware is used other than system camera and a bright color tape. Also, this system does not restrict writing speed and color of tape. Overall, this system achieves an average accuracy rate of character recognition for all alphabets of 94.074%. It is concluded that this system is very useful for communication with deaf and dumb people.
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Glove Based Systems

A color glove is used in a finger-spelling recognition system (Bragatto, Ruas, & Lamar, 2006). Every finger of that glove is colored different from each other to recognize each finger. In this system color classifier and hand posture recognition are used to detect and classify each finger. A Brazilian sign language is recognized and automatically translated in English language using this system.

A Real-time Gesture Recognition System uses a colored glove which contains only one color for every finger (Aragam, Shirabayashi, Kaida, & Hikawa, 2012). This system recognizes the postures made using the hand by wearing the glove. As the posture is made using more than one finger, it does not require multicolor glove.

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