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Numerous research have been carried out to develop robotic assistive technology for rehabilitation of stroke patients. The conventional robotic assistive technology was based on pre-programmed functions by the robot personnel. This makes it difficult for stroke patients to use it effectively due to unsuitable torque and movements set by the robot. Electromyography (EMG) signal measures the muscle...
We have proposed a new communication technology called ldquoTwo-Dimensional Communication (2DC)rdquo in our previous studies. The technology enables one to integrate sensor units on a flexible and stretchable sheet without individual wires. Electrical power is also supplied through the sheet to the sensor nodes in contact with it. This technology considered to be useful for room-size sensor network,...
We have proposed a new communication technology named ldquotwo-dimensional communication (TDC).rdquo The TDC corresponds to the physical layer of the OSI reference model. Microwaves propagate within a two dimensional medium for achieving both signal transmission and power supply. The technology enables sensor nodes touching on the TDC sheet to communicate with each other without individual wires and...
Pattern recognition-based multifunction prosthesis control strategies have largely been demonstrated with subsets of typical able-bodied hand movements. These movements are often unnatural to the amputee, necessitating significant user training and do not maximally exploit the potential of residual muscle activity. This paper presents a real-time electromyography (EMG) classifier of user-selected...
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