Developing a device using accelerometers and EMG for hand movement recognition

Abstract

In this study, rehabilitation training in motor skills for hemiplegia patients comprises repetitive and passive contents. To reduce boredom of rehabilitation training and provide active training, a movement-recognizing device and contents using it were manufactured. An accelerometer for detecting movement recognition and EMG sensor signals for detecting minute muscle variation were used to recognize hand movement. The signals generated by movement were made to move like a mouse, which was connected to rehabilitation training contents using this function.