In this paper, we proposed the design method of myoelectric prosthetic hand for partial hand amputees to substitute function of the movement of the disarticulating finger and to utilize a function of the movement of remaining fingers. Problems for designing myoelectric prosthetic hand for partial hand amputees exists in mechanical system design and control system design. In the problem of mechanical system design, a socket is designed so as to ﬁt a shape of amputation stump, and a grasping mechanics is contained within an appearance of healthy hand shape by using measured 3D data of healthy hand based on the framework of digital engineering. The control system is designed to extract the only electromyogram related to moving the disarticulating ﬁnger from measured all electromyogram by using the neural network, and electromyogram has been successfully applied to control a motorized hand. Next, we prototyped myoelectric prosthetic hand with the proposed design method. Finally, availability of grasping and manipulation of the prototype was evaluated and contained by using the Pick-and-place experiment.
Badminton players need to have a strong capacity for anticipation. The mechanism of anticipation is, however, unclear. In particular, there has been little study of anticipation in practical competition. This paper explores the anticipated stroking time point of a player and his or her stroke, based on an experiment examining data from eight badminton players at different levels of ability. A small nine-axis wireless motion sensor recorded these players’ variation in stroke acceleration during competition. Result found that the players with greater skill made earlier judgments about of stroke and drop. In addition, it is possible that expert players made their predictions based on the accelerated speed changes of the racket during the transition from backswing to fore swing.