摘要
为解决聋哑人的交流问题,设计了一种基于手势识别的穿戴式手语翻译器。该装置通过六轴陀螺仪和应变传感器采集手部数据并传输给STM32微处理器,采用模板匹配-神经网络混合算法分析出正确的手语动作,通过语音播报模块将手语信息以语音形式播报,打破了传统聋哑人手语课堂教学的局限性,具有识别速度快、准确率高、便携、耐磨等优点。
In order to solve the communication problem of deaf and mutepeople,a wearable sign language translator based on gesture recognition is designed.The device collects hand data through six-axis gyroscope and strain sensor and transmits it to STM32 microprocessor.It uses template matching-neural network hybrid algorithm to analyze the correct sign language action.It broadcasts the sign language information in the form of voice through the voice broadcast module,breaks the limitations of the traditional deaf and mutepeople sign language classroom teaching,and has the advantages of fast recognition speed,high accuracy,portability and wearability.
作者
宾峰
马家辉
任鹏
陈伟荷
李文琪
Bin Feng;Ma Jia-hui;Ren Peng;Chen Wei-he;Li Wen-qi(School of Physics and Electronic Science,Changsha University of Science and Technology,Changsha 410114,Hunan Province,China)
出处
《科学与信息化》
2023年第8期138-140,共3页
Technology and Information
关键词
手语翻译
语音播报
聋哑教学
sign language translation
voice broadcasting
deaf and mute teaching
