Paper Title:
A Remote Assessment Information Collection System Based on Fuzzy Logic Inference
  Abstract

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, 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
$32.00
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