Sensor Based Hand Gesture Recognition System for English Alphabets Used in Sign Language of Deaf-Mute People

Hand gesture and sign language are significant ways of communication for deaf-mute people. It puts a barrier in comprehension of a conversation between a mute person and a normal person, because a normal person does not understand the sign language. In this paper we developed a sensor based device which deciphers this sign language of hand gesture for English alphabets. We propose that if this wearable device, which is a hand glove, is put on by a mute person, the device would recognize the 26 letters almost accurately. We discuss the challenges and future potential of this device so that it would completely be able to facilitate communication of such class of people. Hand gesture recognition is also a challenging problem of the human computer interface area.

[1]  Jakub Segen,et al.  Human-computer interaction using gesture recognition and 3D hand tracking , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[2]  Lu Yang,et al.  Survey on 3D Hand Gesture Recognition , 2016, IEEE Transactions on Circuits and Systems for Video Technology.

[3]  Md. Mohiminul Islam,et al.  Real time Hand Gesture Recognition using different algorithms based on American Sign Language , 2017, 2017 IEEE International Conference on Imaging, Vision & Pattern Recognition (icIVPR).

[4]  Anil K. Roy,et al.  An accelerometer based handwriting recognition of English alphabets using basic strokes , 2017, TENCON 2017 - 2017 IEEE Region 10 Conference.