Affiliation:
1. Gauhati University, India
Abstract
In the present scenario, around 15% of the world's population experience some form of disability. So, there has been an enormous increase in the demand for assistive techniques for overcoming the restraints faced by people with physical impairments. More recently, gesture-based character recognition (GBCR) has emerged as an assistive tool of immense importance, especially for facilitating the needs of persons with special necessities. Such GBCR systems serve as a powerful mediator for communication among people having hearing and speech impairments. They can also serve as a rehabilitative aid for people with motor disabilities who cannot write with pen on paper, or face difficulty in using common human-machine interactive (HMI) devices. This chapter provides a glimpse of disability prevalence around the globe and particularly in India, emphasizes the importance of learning-based GBCR systems in practical education of differently-abled children, and highlights the novel research contributions made in this field.
Reference44 articles.
1. Ahmed, S. H., Alexander, T. C., & Anagnostopoulos, G. C. (2008). Real-time, static and dynamic hand gesture recognition for human-computer interaction. Academic Press.
2. Airwriting: Hands-Free Mobile Text Input by Spotting and Continuous Recognition of 3d-Space Handwriting with Inertial Sensors
3. Analysis of the Hand Motion Trajectories for Recognition of Air-Drawn Symbols
4. Air-writing recognition - part 1: Modeling and recognition of characters words and connecting motions.;M.Chen;IEEE Transactions on Human-Machine Systems,2015
5. A real-time dynamic hand gesture recognition system using kinect sensor