文章摘要
Lu Zhenli (卢振利)*,Ma Zhipeng* **,Shen Xuanlin***,Borovac Branislav****,Liu Yan*,Shan Changkao*,Wang Hong* **,Zhao Yu*****,Roumiana Ilieva******,Bojan Nemec*******,Marjan Mernik********.[J].高技术通讯(英文),2020,(3):342~348
Design of a DSLM-based cerebral palsy action rehabilitation training system
  
DOI:doi:10.3772/j.issn.1006-6748.2020.03.013
中文关键词: 
英文关键词: domain specified language mechanism(DSLM), robot-assistant system, human-computer interaction (HCI), cerebral palsy rehabilitation training
基金项目:
Author NameAffiliation
Lu Zhenli (卢振利)* (*School of Electrical Engineering and Automation, Changshu Institute of Technology, Changshu 215500, P.R.China) 
Ma Zhipeng* ** (*School of Electrical Engineering and Automation, Changshu Institute of Technology, Changshu 215500, P.R.China) (**China University of Mining and Technology, Xuzhou 221116, P.R.China) 
Shen Xuanlin*** (***Department of Rehabilitation Medicine, Changshu No. 2 People Hospital, Changshu 215500, P.R.China) 
Borovac Branislav**** (****Faculty of Technical Sciences, University of Novi Sad, 21000-Novi Sad, Serbia) 
Liu Yan* (*School of Electrical Engineering and Automation, Changshu Institute of Technology, Changshu 215500, P.R.China) 
Shan Changkao* (*School of Electrical Engineering and Automation, Changshu Institute of Technology, Changshu 215500, P.R.China) 
Wang Hong* ** (*School of Electrical Engineering and Automation, Changshu Institute of Technology, Changshu 215500, P.R.China) (**China University of Mining and Technology, Xuzhou 221116, P.R.China) 
Zhao Yu***** (*****School of Business, Changshu Institute of Technology, Changshu 215500, P.R.China) 
Roumiana Ilieva****** (******Faculty of Management, Technical University of Sofia, Sofia 1000, Bulgaria) 
Bojan Nemec******* (*******Department of Automatics, Biocybernetics and Robotics, Joef Stefan Institute, Ljubljana1000, Slovenia) 
Marjan Mernik******** (********University of Maribor, Maribor 2000, Slovenia) 
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中文摘要:
      
英文摘要:
      Based on domain specified language mechanism (DSLM), the architecture of the robotic training system for the rehabilitation of children with cerebral palsy (CP) is designed. Application of human-computer interaction (HCI) motion recognition technology is combined with Kinect to improve the effect of cerebral palsy rehabilitation training. In this system, Kinect’s bone recognition method is used to judge the patient’s training movements, and the collected bone movement information is judged. The human-computer interaction function is based on the Microsoft foundation classes function of Visual Studio based on DSLM development, which can realize real-time interactive training and evaluation of people and actions, and record the training information of patients. The system combines the designed small game to train the upper limb movement ability and reaction ability of the cerebral palsy patient, and provides key technology for improving the cerebral palsy rehabilitation training system.
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