Title: Review on sign language recognition methods for supporting communication between deaf and non-deaf persons
Authors: Dilushinie De Silva; Rukmal Fernando
Addresses: Informatics Institute of Technology, University of Westminster, 57, Ramakrishna Road, Colombo, Sri Lanka. ' Informatics Institute of Technology, University of Westminster, 57, Ramakrishna Road, Colombo, Sri Lanka
Abstract: With the rapid development of information and communication technology (ICT), the communication sector has improved continuously. Artificial intelligence (AI) is a field which has a broad, highly technical and specialised research area focusing on different types of sub areas and has generated a lot of interest with many novel applications in the IT world. Along with recent developments in image processing, AI has also been used to automatically recognise sign language gestures, in what is known as automatic sign language recognition (ASLR). This paper reviews methods of facilitating the communication between deaf and non-deaf persons.
Keywords: automatic sign language recognition: ASLR; computer vision; feature extraction; support vector machines; SVM; MATLAB; information technology; communications technology; ICT; sign language gestures; deaf people; non-deaf people.
International Journal of Computational Vision and Robotics, 2011 Vol.2 No.4, pp.323 - 329
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 30 Jan 2012 *