Visual Gesture-Based Character Recognition Systems for Design of Assistive Technologies for People With Special Necessities

Visual Gesture-Based Character Recognition Systems for Design of Assistive Technologies for People With Special Necessities

Ananya Choudhury (Gauhati University, India) and Kandarpa Kumar Sarma (Gauhati University, India)
Copyright: © 2019 |Pages: 22
DOI: 10.4018/978-1-5225-6240-5.ch013

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.
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Introduction

Gestures play an important role in our day to day communication. A gesture may be defined as a physical movement of body parts such as hands, arms, head, face etc. to express some information or feelings (Murthy & Jadon, 2009). Among the various types of gestures, hand gestures are the most common form of communication and interaction. They can additionally have concrete linguistic content in it. Due to the celerity and expressiveness in interaction, hand gestures are widely utilized in sign languages and human-computer interaction (HCI) systems (Pisharady & Saerbeck, 2015). The ability of a computer or any processing system to understand the meaning of these hand gestures is referred to as hand gesture recognition (HGR). Presently, HGR has become a highly developing research field for the purpose of human computer interaction (HCI). Such recognition systems are deployed to serve as a replacement for the commonly used human-machine interactive (HMI) devices such as keyboard, mouse, joystick etc. in real world situations (Karray et al., 2008). There are several applications of HGR systems such as gesture based character recognition (GBCR), sign language recognition (SLR), human-robot interaction (HRI), controller less video gaming, smart TV, video surveillance, video conferencing etc. (Hasan & Kareem, 2012). Among these, GBCR is an active topic of research as it aids in assisting people with special necessities as well as improving the quality of life of elderly and general individuals by increasing their comfort through smart interfaces for human-machine interaction.

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