Abstract
It is necessary to have electromyogram (EMG) training before installing an EMG prosthetic for upper extremity amputees. Aiming to improve the training effect, in this paper a training system based on EMG and virtual reality (VR) is designed. The hardware and software of the training system were designed. And based on the VR technology and EMG technology, in this paper an interesting game in the software has been developed. Meanwhile some experiments were done in the hospital. After actual upper limb amputee experiment, the feasibility and rationality of the system is proved. This paper develops an upper limb amputees training system which has a lively and interesting game, can actively mobilize the amputees’ subjective training initiative, which has good effects and positive meanings for clinical prosthetics installation and usage.
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References
Cai H, Wang X, Wang Y (2012) Entropy-based maximally stable extremal regions for robust feature detection. Math Probl Eng 2012(7):1627–1632. doi:10.1155/2012/857210
Chu J-U, Moon I, Mun M-S (2006) A real-time EMG pattern recognition system based on linear-nonlinear feature projection for a multifunction myoelectric hand. IEEE Trans Biomed Eng 53(11):2232–2239. doi:10.1109/TBME.2006.883695
Davis FD et al (1989) User acceptance of computer technology: a comparison of two theoretical models. Int J Man–Mach Stud 35(8):982–1001. doi:10.1287/mnsc.35.8.982
Guberek R, Schneiberg S et al (2008) Application of virtual reality in upper limb rehabilitation. In: Virtual rehabilitation, p 65. doi:10.1109/ICVR.2008.4625128
Li J, Bai L, Wang Y, Tosas M (2009). Hand tracking and animation. In: IEEE international conference on computer-aided, pp 318–323. doi:10.1109/CADCG.2009.5246885
National Research Center for Rehabilitation Technical Aids (NRRA) (2011) Upper limb amputation based on virtual reality rehabilitation system. CN Patent, 200910093340.2
Novak D, Mihelj M et al (2011) Psychophysiological responses to different levels of cognitive and physical work load in haptic interaction. Robotica 29(3):367–374. doi:10.1017/S0263574710000184
Shi L, Wang Y, Li J (2010) A real time vision-based hand gestures recognition system. In: The 5th international symposium on intelligence computation and applications, pp 349–358. doi:10.1007/978-3-642-16493-4_36
Wu X, Wang Y, Li J (2009) Video background segmentation using adaptive background models. In: Image analysis and processing – ICIAP 2009, pp 623–632. doi:10.1007/978-3-642-04146-4_67
Zheng X, Wang Y et al (2009) A comprehensive approach for fingerprint alignment. In: Intelligent networks and intelligent systems, 2009. ICINIS’09, pp 382–385. doi:10.1109/ICINIS.2009.104
Acknowledgments
This research is supported in part by the National Natural Science Foundation of China (Grants 51275101, 51335004), and the National Science & Technology Pillar Program of China (Grants 2009BAI71B07). Thank you for the help of Yang-sheng Wang, Guo-qing Xu and Can-jun Yang.
Project supported by the National Natural Science Foundation of China (Grants 51275101, 51335004), and the National Science & Technology Pillar Program of China (Grant 2009BAI71B07).
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Li, J. et al. (2017). Research and Development for Upper Limb Amputee Training System Based on EEG and VR. In: Yang, C., Virk, G., Yang, H. (eds) Wearable Sensors and Robots. Lecture Notes in Electrical Engineering, vol 399. Springer, Singapore. https://doi.org/10.1007/978-981-10-2404-7_21
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DOI: https://doi.org/10.1007/978-981-10-2404-7_21
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