手势发声哑巴和聋哑人

Sanish Manandhar, Sushana Bajracharya, Sanjeev Karki, A. Jha
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引用次数: 2

摘要

本文的主要目的是利用Arduino Mega、Flex传感器、Accelerometer等组件,设计一个能够将残疾人使用的给定手势转换成相应的文本、音频和图像形式的系统,使其可以在普通人的待机状态下使用。设计了可穿戴式手套控制器,并在每个手指上安装了能够感知手指运动的fl传感器,以及用于感知残疾人手部运动的aGy-61加速度计。可穿戴输入手套控制器将采集到的输入信号发送到系统进行处理。该系统使用随机森林算法对当前训练模型的正确输出进行预测,准确率达到85%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hand Gesture Vocalizer for Dumb and Deaf People
The main purpose of this paper is to confer the system that converts a given sign used by disabled person into its appropriate textual, audio, and pictorial form using components such as Arduino Mega, Flex sensors, Accelerometer, which could be under standby a common person. A wearable glove controller is design with fl ex sensors attached on each finger, which allows the system to sense the finger movements, and aGy-61 accelerometer, which are uses to sense the hand movement of the disabled person. The wearable input glove controller sends the collected input signal to the system for processing. The system uses Random forest algorithm to predict the correct output to an accuracy of 85% on current training model.
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