【摘要】 基于语音识别设计了针对脑瘫患儿的数字语音训练系统。应用人机交互(HRI)技术与仿生机械手动作控制相结合达到提升脑瘫(CP)康复训练效果的目的。该系统中控制器采用Arduino MEGA 2560为主控制器,显示屏LCD1602作为人机交互数据显示界面,通过LD3320语音芯片实现人机语音交互功能。人机交互功能是通过Labview环境展开,可实现人、机器人的手势与动作的实时交互训练与评价。该系统可训练脑瘫患者反应能力、语言表述能力以及认识手势动作数字动作能力,为提升脑瘫康复训练系统提供关键技术。更多还原

【Abstract】 A digital speech training system for children with cerebral palsy is designed based on speech recognition. The combination of human robot interaction(HRI) technology and bionic manipulator motion control can improve the effect of cerebral palsy(CP) rehabilitation training. In this system, the controller adopts Arduino MEGA 2560 as the main controller, and the display LCD1602 serves as the human robot interaction data display interface. The human-machine voice interaction function is realized by the LD3320 voice chip. The human robot interaction function is developed through the Labview environment, which enables real-time interactive training and evaluation of human and robot gestures and actions. The system can train the reaction ability, language expression ability and the ability of recognizing digital gestures of cerebral palsy patients, and provide a key technology for improving the rehabilitation training system of cerebral palsy.更多还原