手势
视力受损
人机交互
听力受损者
过程(计算)
视力障碍
手势识别
仪表(计算机编程)
计算机科学
虚拟机
多媒体
虚拟仪器
人际交往
通信系统
考试(生物学)
感觉系统
低视力
听力损失
工程类
心理学
非语言交际
弯曲
听力学
人工耳蜗植入
虚拟现实
目视检查
视觉感受
助听器
独立生活
辅助技术
语音识别
作者
Chamod Rathnayake,Eranda Dhanushka,Chamika Jayasanka,Kasun Sandaruwan,Harsha Kaluarachchi,B.L. Sanjaya Thilakarathne
标识
DOI:10.1080/17483107.2025.2572533
摘要
People without sensory impairments may find it challenging to communicate effectively with those who have hearing or visual impairments. Further, hearing-impaired and visually impaired people are not interested in maintaining interpersonal relationships with others due to the difficulty in communicating. As a result, considerable research has been conducted to find an innovative way that make the process of communication easier for them. To overcome the weaknesses and shortcomings of these studies, the authors introduce a unique application. Our application model focuses on developing a virtual instrument that recognises hand gestures, displays a corresponding message, and provides a voice message to assist people with hearing or visual impairments in communication. A flex sensor glove was used for hand gesture detection, and a virtual instrumentation system was developed using LabVIEW software. Ten volunteers with no previous disabilities were initially used to test the system. Seven gestures were selected for the initial evaluation, and each gesture was performed five times, completing a total of 350 trials. The selected seven hand gestures for the initial evaluation were successfully communicated through both audio and visual means by providing them in all three languages: Sinhala, Tamil, and English. Furthermore, our system achieved a gesture detection accuracy of 95.42%, with an average response time of less than 0.5 s per gesture. This system is highly beneficial for people with congenital or early-stage hearing loss and visually impaired people who are confined to beds due to illness.
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