A Remote Assessment Information Collection System Based on Fuzzy Logic Inference

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 341-342)

Edited by:

Liu Guiping

Pages:

606-610

DOI:

10.4028/www.scientific.net/AMR.341-342.606

Citation:

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

Online since:

September 2011

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Price:

$35.00

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