A Development of the Equipment Control System Using SEMG

Abstract

SEMG(Surface Electromyogram) is one of the bio-electric signals that is generated from the muscle. There are many kinds of muscles in a human body, and used muscles are different for each body movement. Therefore, any kind of body motions can be detected by analyzing generated SEMG patterns. Our objectives of this study are the development of a method that makes perfect detection of the hand motions possible using SEMG patterns and applying the method to the man-machine interface. In this paper, four channels SEMG signals which were measured from a right forearm of the subject were used to detect right hand motions. And a radio controlled vehicle was controlled as the results of detecting hand motions.In our system, suitable electrode positions are selected from analyzing results of 48 multi-channel SEMG patterns for each subject. Measured SEMG signals from electrodes are amplified, filtered and analog to digital converted. Digitized SEMG data are analyzed in a personal computer. The hand motion detection is done using the method of canonical discriminate analysis. In this study, five basic hand movements (wrist flexion, wrist extension, grasp, pronation, supination) were detected and used to control a vehicle. Three subjects were studied with our system. They were male and had not used our system before experiment. After few minutes training, they tried to control a radio controlled vehicle. In spite of first operation, they could control a vehicle almost perfectly and average recognition rate of hand movements were more than 90% for all subjects. From these results of our experiment, we have concluded that our new man-machine interface worked perfect and will be a valuable interface in future.

A surface electromyography controlled steering assistance interface

“…Facial gestures produce myoelectric signals that enable people to control wheelchairs (Felzer and Freisleben, 2002; Rivera and Desouza, 2012). Myoelectric signals from hand gestures have been used to control a model military tank (Takizawa et al , 2009). Despite the existence of various sEMG controlled devices, there are only a few studies related to sEMG controlled automobiles (Kwak et al , 2008; Nacpil et al , 2018).…”

“…There are multiple gestures with corresponding sEMG signals that could be assigned to steering maneuvers (Nacpil et al , 2018). In a previous study, a radio-controlled model vehicle was successfully steered to the right by supinating the right forearm (Takizawa et al , 2009). Because the biceps brachii is one of the most active muscles when the forearm supinates with the elbow flexed at 90°, the sEMG of the biceps brachii was selected to readily control the steering wheel angle (SWA) of the simulated vehicle (Bader et al , 2018).…”