Myoelectric Pattern Measurement Based on Two-Dimensional Communication Technology

Last year, we proposed a new man-machine interface that detects myoelectric signals on a forearm. Since the myoelectric signals can be detected just before an actual motion, the system can predict motions of the fingers or related grasping forces. It is considered that a high-density electrode array is necessary for improving the accuracy of the motion estimation. In general, a large number of the sensor units require also a large number of wires for data transmission. Due to these annoying wires, the motions are constrained and the system is not suitable for daily use. In our previous work, we proposed "two-dimensional communication (TDC)" technology as a substitution for the wires. In the TDC scheme, signals are transmitted within a two dimensional medium as well as an electric power. Therefore, not only the wires for signal transmission, but the batteries for individual sensors are not required. In this paper, we show how to send the data to a host machine in the TDC sheet. We adopt a time division multiplexing method for reducing interferences between the sensor units.