基于Arduino的语言障碍人士手语解释器

Dr Siva Prakash JS, S. Ram
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引用次数: 0

摘要

我们的个人生活很大程度上依赖于交流。聋哑人很难与其他人进行正常的对话。根据世界卫生组织的数据,全世界有4.66亿人受到影响(占世界人口的5%以上),其中3400万是儿童。因此,他们无法与他人有效沟通。手语是聋哑人交流的媒介,它包括使用手势来表达他们的感受和情绪。手语手势是手的特定动作,由特定的形式组成。这个装置背后的主要动机是让残疾人在交流中感到自信,也让他们在与他人交流时摆脱恐惧或任何形式的尴尬。采用5个LDR传感器,每个LDR传感器固定在手套指尖。手势起着至关重要的作用。微控制器对手势进行解码。输入的单词使用LDR传感器的每个特定手势(即完全不同的手指位置)进行测量。系统对这些手势进行分析,并综合显示信息,供普通人识别。在这个系统中,使用手套,通过它可以直接准确地测量手势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Arduino Based Sign Language Interpreter for Speech Impaired People
Our individual lives depend significantly on communication. Deaf and dumb people find it difficult to engage in normal conversations with other people. According to the World Health Organization, across the world 466 million people are affected (more than 5 percent of the world's population) and in that 34 million are kids. Consequently, they are unable to communicate efficiently with others. Sign language is the medium through which deaf people communicate, which involves the usage of gestures to express their feelings and emotions. A sign language gesture is a particular action of the hands, composed of a specific form. The main motive behind this device is to make disabled people feel confident in their communication and also to get rid of their fear or any kind of awkwardness while communicating with others. Five LDR sensors are used in such a way that each LDR sensor is fixed at the tip of glove finger. The gesture of the hand plays a vital role. The micro-controller decodes the gestures. The words which are fed are measured using each particular gesture (i.e., making entirely different finger positions) of LDR sensors. The system analyzes those gestures and synthesizes the display the message for common people to recognize. In this system, hand gloves are used through which the hand gestures are measured directly and accurately.
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