Оригинал (Original)
Автори: 卢振利., 王乾., Penčić, M., Čavić, M., Илиева, Р. Й.
Заглавие: Design of rehabilitation training system of social helpless shoulder shrugging movement for cerebral palsy based on human-computer interaction technology /基于人机交互技术的社交型无奈式耸肩动作脑瘫康复训练系统设计
Ключови думи: social rehabilitation, shoulder shrugging

Абстракт: In this paper, a social shrugging training system is designed based on human-computer interaction techniques for the rehabilitation of cerebral palsy. The system uses a second-generation Kinect v2 device to collect data on the position and angle of the human limb joints. It uses a support vector machine algorithm to classify and train the data to recognize the shrugging movements. The system uses C ++ programming in the host computer to process the action signals and identify them according to the action rules set by the system. It sends commands to the Arduino UNO development board via serial communication to drive the expression robot to make the corresponding expression actions. The system uses Python programming to design the human-machine interface, which allows the rehabilitation teacher to guide the patient to make the corresponding shoulder shrugging movements, and to record the patient’s test results and test time, so that the rehabilitation teacher can analyze the patient’s

Библиография

    Издание

    Gaojishu Tongxin/Chinese High Technology Letters, том 33, брой 6, стр. стр. 652–660, 2023, Китай, Changshu, Suzhou, Jiangsu, Institute of Scientific and Technical Information of China, DOI: 10.3772/j.issn.1002-0470.2023.06.010

    Издателските права се държат от High Technology Letters Press, Institute of Scientific and Technical Information of China

    		Autors: Lu, Z., Wang, Q., Penčić, M., Čavić, M., Ilieva, R. Y.
    Title: Design of rehabilitation training system of social helpless shoulder shrugging movement for cerebral palsy based on human-computer interaction technology
    Keywords: social rehabilitation, shoulder shrugging

    Abstract: In this paper, a social shrugging training system is designed based on human-computer interaction techniques for the rehabilitation of cerebral palsy. The system uses a second-generation Kinect v2 device to collect data on the position and angle of the human limb joints. It uses a support vector machine algorithm to classify and train the data to recognize the shrugging movements. The system uses C ++ programming in the host computer to process the action signals and identify them according to the action rules set by the system. It sends commands to the Arduino UNO development board via serial communication to drive the expression robot to make the corresponding expression actions. The system uses Python programming to design the human-machine interface, which allows the rehabilitation teacher to guide the patient to make the corresponding shoulder shrugging movements, and to record the patient’s test results and test time, so that the rehabilitation teacher can analyze the patient’s

    References

      Issue

      Gaojishu Tongxin/Chinese High Technology Letters, vol. 33, issue 6, pp. 652–660, 2023, China, Changshu, Suzhou, Jiangsu, Institute of Scientific and Technical Information of China, DOI: 10.3772/j.issn.1002-0470.2023.06.010

      Copyright High Technology Letters Press, Institute of Scientific and Technical Information of China

      Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus