Journal of the Korea Computer Graphics Society (한국컴퓨터그래픽스학회논문지)

Korea Computer Graphics Society (한국컴퓨터그래픽스학회)
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Virtual Home Training - Virtual Reality Small Scale Rehabilitation System

가상 홈 트레이닝 - 가상현실 기반 소근육 재활 시스템

  • Yu, Gyeongho (Dept. of Computer Engineering, Chosun University) ;
  • Kim, Hae-Ji (Dept. of Computer Engineering, Chosun University) ;
  • Kim, Han-Seob (Dept. of Computer Engineering, Chosun University) ;
  • Lee, Jieun (Dept. of IT Convergence Engineering, Hansung University)
  • 유경호 (조선대학교 컴퓨터공학과) ;
  • 김해지 (조선대학교 컴퓨터공학과) ;
  • 김한섭 (조선대학교 컴퓨터공학과) ;
  • 이지은 (한성대학교 IT융합공학부)
  • Received : 2018.06.24
  • Accepted : 2018.07.04
  • Published : 2018.07.10
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Abstract

This paper proposes a small-scale rehabilitation system that allows stroke patients to perform daily rehabilitation training in a virtual home. Stroke patients have limited activities of daily living due to paralysis, and there are many rehabilitation exercises for them to reproduce activities that take place in the house, such as turning lights on and off, door opening and closing, gas valve locking. In this paper, we have implemented a virtual home with the above mentioned daily rehabilitation training elements, by using virtual reality technology. We use Leap Motion, a hand motion recognition device, for rehabilitation of hands and fingers. It is expected that stroke patients can rehabilitate small muscles without having to visit the clinic with uncomfortable body, and will be able to get interesting rehabilitation training by avoiding monotony of existing rehabilitation tools.

본 논문은 뇌졸중 환자가 가상의 집에서 일상 재활 훈련을 할 수 있는 소근육 재활 시스템을 제안한다. 뇌졸중 환자는 마비증상으로 인해 일상생활 활동이 제한적이며 이들을 위한 재활 훈련에는 전등 켜고 끄기, 문 여닫기, 가스 밸브 잠그기, 자물쇠 열기 등 집안에서 일어나는 활동을 재현하는 작업 치료 훈련이 다수 있다. 본 논문에서는 가상현실 기술로 집 내부를 구현하여 앞서 언급한 일상 재활 훈련 요소를 배치하고 손동작 인식 장치인 립모션(Leap Motion)을 활용하여 환자가 손과 손가락을 충분히 사용하여 재활 훈련을 할 수 있는 재활 시스템을 제안하였다. 이 시스템을 이용하면 뇌졸중 환자는 불편한 몸으로 치료 기관에 방문하지 않고도 가상현실로 소근육 재활이 가능하며, 기존 작업 치료 도구의 단조로움을 탈피하여 흥미롭게 재활 훈련을 받을 수 있을 것으로 기대된다.

Keywords

References

  1. J. Dascal, M. Reid, W. W. IsHak, B. Spiegel, B. J. Recacho, B. Rosen, and I. Danovitch, "Virtual reality and medical inpatients: a systematic review of randomized, controlled trials," Innovations in clinical neuroscience, 14, 1-2, 2017.
  2. M. C. Howard, "A meta-analysis and systematic literature review of virtual reality rehabilitation programs," Computers in Human Behavior, 70, 317-327, 2017. https://doi.org/10.1016/j.chb.2017.01.013
  3. 대한신경계작업치료학회, "작업치료와 뇌졸중," 수문사, 2014
  4. 김아름, 이수원 and 지영준. "[기술동향 I] 가상현실 기술을 이용한 뇌졸중 마비환자의 재활훈련," 전기의세계 63, 2, 15-20, 2014.
  5. 양노열, 박희수 윤태형, 문종훈, "체감형 가상현실 훈련(Joystim)이 뇌졸중 환자의 인지기능과 일상생활활동에 미치는 효과." 재활복지공학회논문, 12, 1, 10-19, 2018. https://doi.org/10.21288/RESKO.2018.12.1.10
  6. 김영근. "가상현실재활시스템 적용에 따른 뇌졸중 환자의 일상생활활동, 인지기능, 자아존중감의 개선효과." 한국산학기술학회 논문지, 16, 8, 5476-5484, 2015.
  7. D. Corbetta, F. Imeri and R. Gatti, "Rehabilitation that incorporates virtual reality is more effective than standard rehabilitation for improving walking speed, balance and mobility after stroke: a systematic review," Journal of physiotherapy, 61, 3, 117-124, 2015. https://doi.org/10.1016/j.jphys.2015.05.017
  8. 박태성, "완전 몰입형 가상현실 게임이 만성 뇌졸중 환자의 몰입, 스트레스 및 상지기능에 미치는 영향," 부산가톨릭대학교 대학원, 2018.
  9. E. B. Larson, M. Feigon, P. Gagliardo, and A. Y. Dvorkin, "Virtual reality and cognitive rehabilitation: A review of current outcome research," NeuroRehabilitation, 34, 4, 759-772, 2014.
  10. https://developer.leapmotion.com/guide#128, 2018, 05, 15.
  11. J. Ku, and Y. J. Kang. "Novel Virtual Reality Application in Field of Neurorehabilitation," Brain &Neurorehabilitation 11, 1, 2018.
  12. R. G. Lupu, N. Botezatu, F. Ungureanu, D. Ignat, and A. Moldoveanu, "Virtual reality based stroke recovery for upper limbs using Leap Motion," In 2016 20th International Conference on System Theory, Control and Computing (ICSTCC), pp. 295-299, 2016.
  13. S. Caraiman, A. Stan, A. N. Botezatu, P. Herghelegiu, R. G. Lupu, and A. Moldoveanu, "Architectural design of a real-time augmented feedback system for neuromotor rehabilitation." In 2015 20th International Conference on Control Systems and Computer Science, pp. 850-855, 2015.
  14. Y. R. Yang, M. P. Tsai, T. Y. Chuang, W. H. Sung, and R. Y. Wang, R. Y. "Virtual reality-based training improves community ambulation in individuals with stroke: a randomized controlled trial," Gait & posture, 28(2), 201-206. 2008. https://doi.org/10.1016/j.gaitpost.2007.11.007
  15. J. Chen, W. Jin, X. X. Zhang, W. Xu, X. N. Liu, and C. C. Ren, "Telerehabilitation approaches for stroke patients: systematic review and meta-analysis of randomized controlled trials," Journal of Stroke and Cerebrovascular Diseases, 24, 12, 2660-2668, 2015. https://doi.org/10.1016/j.jstrokecerebrovasdis.2015.09.014
  16. R. Lloréns, R., E. Noe, C. Colomer and M. Alcaniz, "Effectiveness, usability, and cost-benefit of a virtual reality-based telerehabilitation program for balance recovery after stroke: A randomized controlled trial," Archives of physical medicine and rehabilitation, 96, 3, 418-425, 2015. https://doi.org/10.1016/j.apmr.2014.10.019
  17. HTC VIVE, https://www.vive.com/kr/, 2018, 05, 15.

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