A Wearable Pointing Device Using EMG Signals

摘要

We propose a wearable pointing device using EMG signals. By using neural networks, the system adapts to variations in EMG signals caused by individual differences of muscular features and minor shifts in electrode sites. Experimental results show that the system, which frees the operator from having to be in front of a computer, is effective as a pointing device for a wearable computer.