DocumentCode :
122624
Title :
Human postural stability model and artificial neural network for prediction the center of pressure
Author :
Prasertsakul, Thunyanoot ; Wongsawat, Y. ; Charoensuk, Warakorn
Author_Institution :
Dept. of Biomed. Eng., Mahidol Univ., Nakorn Pathom, Thailand
fYear :
2014
fDate :
19-21 March 2014
Firstpage :
1
Lastpage :
4
Abstract :
Human postural stability is the necessary function for human livings. This function controls the whole body into the upright position. To understand the behavior of human balance control can be achieved by many methods. The mathematical model is a general technique for explanation the mechanism of biomechanics. The human postural stability system has been designed into the mathematical model. The model at sagittal and coronal plane utilized to describe the motion. This study focused on the model at coronal plane. There were two methods which performed. The first method was to use the mathematical formula for determination the COP. Second, there was the human postural stability model and artificial neural network to predict the COP. The result indicated that both methods could determine the COP, but the neural network has less error than the other method. However, there was some limitation to define the suitable parameter of neural network for getting better output.
Keywords :
biology computing; biomechanics; neural nets; COP prediction; artificial neural network; biomechanics; coronal plane; human balance control behavior; human postural stability model; mathematical model; pressure center prediction; sagittal plane; Biological system modeling; Biomechanics; Mathematical model; Predictive models; Stability analysis; Torque; Human postural stability; NARX; center of pressure; mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering Congress (iEECON), 2014 International
Conference_Location :
Chonburi
Type :
conf
DOI :
10.1109/iEECON.2014.6925900
Filename :
6925900
Link To Document :
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