A Moving Effect Judgment and Adjustment System Based on Physiology Information Fusion

The paper proposed a moving effect judgment and adjustment system based on physiology information fusion. According to the characteristic of the dynamic data and physiology sensors with multiple sources and different structures, the framework of the system was divided into four levels and the Kalman filter and fuzzy neural network technology was chosen as fusion method. In addition, the expert system was embarked from reality whose knowledge library was modified dynamically to enhance the information efficiency. The system has been used on a 6-DOF parallel machine horse. The experimental result showed that the method is reliable and can achieve precision level.