A Remote Assessment Information Collection System Based on Fuzzy Logic Inference
This paper introducts the designing of a remote assessment information collection system based on fuzzy logic inference. The system has a 6-freedom double-eyes vision robot to catch vision information, and a group of wearable sensors to acquire biomechanical signals. Taking the speed of information collection system for example, analyses and designs the struct and the rule of fuzzy control. The remote auto control of the telerehabilitation information collection system was achieved. Rehabilitation professionals can semi-automatically practice an assessment program via Internet. The results show that the smart device, including the robot and the sensors, can improve the quality of remote assessment, and reduce the complexity of operation at a distance.
Y. M. Ren and J. Wang, "A Remote Assessment Information Collection System Based on Fuzzy Logic Inference", Advanced Materials Research, Vols. 341-342, pp. 606-610, 2012