基于视觉手势的特殊需要辅助技术设计的字符识别系统

Ananya Choudhury, K. K. Sarma
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引用次数: 5

摘要

在目前的情况下,世界上约有15%的人口患有某种形式的残疾。因此,对辅助技术的需求有了巨大的增长,以克服身体障碍的人所面临的限制。最近,基于手势的字符识别(GBCR)已经成为一种非常重要的辅助工具,特别是在满足有特殊需要的人的需求方面。这种GBCR系统是听力和语言障碍者之间沟通的有力中介。它们还可以作为运动残疾人士的康复辅助工具,这些人不能用笔在纸上写字,或者在使用普通人机交互(HMI)设备时遇到困难。本章提供了全球残疾流行的一瞥,特别是在印度,强调了基于学习的GBCR系统在不同能力儿童的实际教育中的重要性,并强调了在这一领域的新研究贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visual Gesture-Based Character Recognition Systems for Design of Assistive Technologies for People With Special Necessities
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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