A new training system of EMG prosthetic hand for upper limb amputees is developed using virtual reality technology in which amputee can train in the virtual environment. We hypothesize that efficacy of training depends on difficulty of given task. Thus, we propose a new training method that control success rate of given tasks by changing difficulty of the task in virtual environment based on the trainee's condition. In this paper, effectiveness of the training method will be examined.
LovelyD.F.StockerD.ScottR.N., (1990) A Computer-aided Myoelectric Training System for Young Upper Limb Amputees, Journal of Microcomputer Applications, Vol. 13, pp. 245–259.
3.
DupontA.C.MorinE.L., (1994), A Myoelectric Control Evaluation and Trainer System, IEEE Transactions on Rehabilitation Engineering, Vol. 2, No. 2, pp. 100–107.
4.
OkunoR.AkazawaK.YoshidaM., (1999) Biomimetic Myoelectric Hand with Voluntary Control of Finger Angle and Compliance, Frontiers Medical and Biological Engineering, Vol. 9, No. 3, pp. 199–210.
5.
TsujiT.FukudaO.ShigeyoshiH.KanekoM., (2000) Bio-mimetic Impedance Control of an EMG-controlled Prosthetic Hand, Proceedings of the 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems, CD-ROM.
6.
AtkinsonJ.RaynorO., (1974) Motivation and Achievement, Washington: Winston.