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面向机器人辅助脑瘫康复的语义训练系统设计

Design of semantic training system for robot assisted cerebral palsy rehabilitation

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【作者】 卢振利将睿萱马志鹏沈玄霖马克本奇奇波罗瓦茨布朗尼斯拉夫梅尼科麦然李斌

【Author】 Lu Zhenli;Jiang Ruixuan;Ma Zhipeng;Shen Xuanlin;Marko Bencici;Borovac Branislav;Mernik Marjan;Li Bin;School of Electrical Engineering and Automation,Changshu Institute of Technology;State Key Laboratory of Robotics,Shenyang Institute of Automation,CAS;School of Information and Electrical Engineering,China University of Mining and Technology;Changshu No.2 People Hospital;Faculty of Technical Sciences,University of Novi Sad;University of Maribor;

【通讯作者】 卢振利;

【机构】 常熟理工学院电气与自动化工程学院中国科学院沈阳自动化研究所机器人学国家重点实验室中国矿业大学信息与电气工程学院常熟市第二人民医院诺维萨德大学技术科学学院马里博尔大学

【摘要】 人机交互是脑瘫康复训练机器人辅助系统的关键技术。语言训练对脑瘫患者康复起到至关重要的作用。针对有语言障碍的脑瘫患者,设计了语音语言康复训练系统。该语音语义测试系统底层控制器采用51单片机芯片,通过两个按键切换单字和词语短句模式;语音辨识采用LD3 320模块,下位机控制系统采用C语言,上位机用到C#进行编程。语音芯片把信号辨识结果通过串口发送到上位机,上位机根据语音语义规则进行辨识匹配,对测试完成评判和统计。该工作为脑瘫康患者的语音语义康复训练提供了关键技术。

【Abstract】 Human-computer interaction is a key technology of the robot aided system for the rehabilitation training of cerebral palsy. Language training plays a vital role in the recovery of cerebral palsy. A speech language rehabilitation training system is designed for patients with cerebral palsy with language disorders. The controller of the phonetic and semantic test system uses 51 single chip, through two key for words and phrases words switching mode; speech recognition uses LD3320 module, low level control system uses the C language, and high level control system adopts C# programming. The speech chip sends the signal of recognition results to the host computer through the serial port. The host computer performs recognition and matching according to the voice and semantic rules, and completes the judgments and statistics for the test. This work provides a key technique for the speech semantic rehabilitation training of the patients with cerebral palsy.

【基金】 国家重大科技计划支撑计划(2014BAK12B01);机器人学国家重点实验室开放基金(2014-O08);中塞政府间科技合作委员会第三届例会(266-3-1)资助项目
  • 【文献出处】 高技术通讯 ,Chinese High Technology Letters , 编辑部邮箱 ,2019年02期
  • 【分类号】TP242
  • 【被引频次】11
  • 【下载频次】147
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