DocumentCode :
1835755
Title :
The Movement Model of the Knee Joint during Human Walking
Author :
Lingyan Zhao ; Shougang Huang ; Yutao Xu ; Jin Li ; Lingtao Yu
Author_Institution :
Coll. of Mech. & Electr. Eng., Harbin Eng. Univ., Harbin, China
Volume :
2
fYear :
2013
fDate :
26-27 Aug. 2013
Firstpage :
218
Lastpage :
221
Abstract :
Targeting at the healthy young men, the method of experiment is applied in researching the knee mathematical model of sports features during walking. On the base of the experimental data, the knee movement is described in the graph. Using the regression analysis method of expanded the Gaussian functions and the sine function section combining, a mathematical model is derived. The correlation analysis results by the change of speed and height do not affect the amplitude of knee joint motion significantly, while the height is not related to amplitude, and walking speed is positively correlated with the amplitude trends. The experimental data verify the correctness of the conclusion, they also explain the model has a certain universal significance. The limitation of the graphical representation can only be used on qualitative analysis in the past is surmounted. The results have a certain value and scientific significance on the gait rehabilitation training, walking functional evaluation and humanoid robotics.
Keywords :
Gaussian processes; gait analysis; humanoid robots; patient rehabilitation; regression analysis; training; Gaussian functions; gait rehabilitation training; graphical representation; healthy young men; human walking; humanoid robotics; knee joint; movement model; regression analysis; sine function section; walking functional evaluation; Analytical models; Correlation; Fitting; Joints; Knee; Legged locomotion; Mathematical model; gait; gaussian function; knee joint; mathematical model; regression analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-0-7695-5011-4
Type :
conf
DOI :
10.1109/IHMSC.2013.200
Filename :
6642728
Link To Document :
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