Characteristic mapping and performance evaluation of a stance posture control system

Author

Kikuchi, M. ; Shiraishi, M.

Author_Institution

Graduate Sch., Ibaraki Univ., Japan

Volume

1

fYear

1999

fDate

1999

Firstpage

107

Abstract

A new evaluation method representing human dynamics has been proposed on the basis of measurements of swaying conditions in the standing position. This measures the center of gravity of a subject when a simple load is applied. The stance posture system is identified by using an auto-regressive moving average exogenous model and an extended least squares method. This approach enables us to model human standing with swaying about a point of equilibrium condition. Small changes in total body sway are comparable to those seen during natural swaying in human stance, by plotting all poles of the transfer function

Keywords

autoregressive moving average processes; biocontrol; biomechanics; biomedical measurement; least squares approximations; medical computing; auto-regressive moving average exogenous model; center of gravity; characteristic mapping; equilibrium; extended least squares method; human dynamics; load; performance evaluation; poles; small total body sway changes; stance posture control system; standing position; swaying condition; transfer function; Artificial neural networks; Biological neural networks; Biological system modeling; Control systems; Gravity; Humans; Musculoskeletal system; Nervous system; Position measurement; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on

Conference_Location

Tokyo

ISSN

1062-922X

Print_ISBN

0-7803-5731-0

Type

conf

DOI

10.1109/ICSMC.1999.814061

Filename

814061