Implementation of Real-time EMG-based Human-computer Interface

실시간 근전도 인터페이스의 구현

This paper proposes a real-time method to recognize shoulder elevation motions by comparing EMG signals on the Levator scapulae muscles with double threshold values. To achieve real-time, we implement a EMG signal processing hareware embedded band-rejection filter, low-pass filter, full rectifier and moving average circuits. And a high speed microprocessor is used for implementing the double thresholds method. The available shoulder motions for the human-computer interface are elevation of left, right and both shoulders. From experimental results we show that the proposed real-time processing hardware and double thresholds method are useful for the real-time EMG-based human-computer interface.