A Wearable Cervical Fatigue Monitoring System Based On Multi-sensor Data

With the increase of social pressure and work intensity, fatigue has affected people's health. This paper developed a wearable fatigue monitoring system based on multi-sensor to detect the fatigue of the cervical vertebra. The monitoring system was worn on the user's neck, and the electromyographic signals (EMG) and the six-axis acceleration signals are collected and analyzed with the system. The time and frequency domain signal features were extracted. In order to detect the fatigue condition, the support vector machine (SVM) classifier was used involving 1800,000 labeled EMG data. In addition, the inclination angle of cervical vertebra can be obtained by the six-axis acceleration signal. It is proved that the fatigue monitoring system can effectively detect the fatigue of the cervical vertebra and warn the users.