Fatigue Monitoring and Awakening System Based on Eye Electrical and Head Movement Parameters Monitoring

When the human body is in a state of fatigue, its characteristics of eye electrical signals and head posture signals will change significantly. Based on the analysis and research of these two kinds of signals, a wearable EOG and head posture signal fatigue monitoring and wake-up system is proposed by combining music wake-up method. The single lead electrode is used to collect the EOG signal, and the three-axis gyroscope sensor is used to collect the acceleration and angular velocity signals when the human head moves. The characteristics of the blinking signal are analyzed through the EOG signal, and four head posture characteristics are analyzed according to the characteristics of the acceleration and angular velocity in the time domain. Finally, the BP neural network is used to identify the features of the relevant signals. When the fatigue features reach a certain level, physical stimulation, such as music, can help people wake up. The experimental results show that the EOG signal and acceleration signal can accurately analyze the fatigue characteristics and changes of testers, and the wake-up method is effective.