DocumentCode :
2437768
Title :
A Moving Effect Judgment and Adjustment System Based on Physiology Information Fusion
Author :
Xiuling-Liu ; Guojie-Yang ; Huanping-Du ; Hongrui-Wang
Author_Institution :
Dept. of Electron. & Informational Eng., Hebei Univ., Baoding
Volume :
2
fYear :
2008
fDate :
19-20 Dec. 2008
Firstpage :
311
Lastpage :
315
Abstract :
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.
Keywords :
Kalman filters; expert systems; fuzzy neural nets; mobile robots; path planning; robot dynamics; sensor fusion; 6-DOF parallel machine horse robot dynamics; Kalman filter; bionic robot movement platform; expert system; fuzzy neural network technology; knowledge library; moving effect adjustment system; moving effect judgment system; physiology sensor information fusion; Biosensors; Control system synthesis; Expert systems; Libraries; Physiology; Robot sensing systems; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
Type :
conf
DOI :
10.1109/PACIIA.2008.30
Filename :
4756787
Link To Document :
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