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Gait Modeling Using Genetic Algorith...

Hamather, Hazen James.

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Gait Modeling Using Genetic Algorithm Optimized Four-Bar Linkages.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Gait Modeling Using Genetic Algorithm Optimized Four-Bar Linkages./
Author:	Hamather, Hazen James.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	102 p.
Notes:	Source: Masters Abstracts International, Volume: 57-06.
Contained By:	Masters Abstracts International57-06(E).
Subject:	Kinesiology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10815868
ISBN:	9780355940930

Gait Modeling Using Genetic Algorithm Optimized Four-Bar Linkages.
Hamather, Hazen James.

Gait Modeling Using Genetic Algorithm Optimized Four-Bar Linkages. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 102 p.

Source: Masters Abstracts International, Volume: 57-06.

Thesis (M.S.)--Rose Hulman Institute of Technology, 2018.

Important in diagnosing gait abnormalities and pathologies is knowing the position of the leg at various points throughout the gait cycle. This is currently done with motion capture technology but the demand for Inertial Measurement Unit (IMU) based navigation and position tracking has been on the rise. A required component of this alternative is a gait model that can accurately predict the position of points of interest.

ISBN: 9780355940930Subjects--Topical Terms:

517627
Kinesiology.

Gait Modeling Using Genetic Algorithm Optimized Four-Bar Linkages.
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100 1 $a Hamather, Hazen James. $3 3350629
245 1 0 $a Gait Modeling Using Genetic Algorithm Optimized Four-Bar Linkages.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 102 p.
500 $a Source: Masters Abstracts International, Volume: 57-06.
500 $a Adviser: Bradley T. Burchett.
502 $a Thesis (M.S.)--Rose Hulman Institute of Technology, 2018.
520 $a Important in diagnosing gait abnormalities and pathologies is knowing the position of the leg at various points throughout the gait cycle. This is currently done with motion capture technology but the demand for Inertial Measurement Unit (IMU) based navigation and position tracking has been on the rise. A required component of this alternative is a gait model that can accurately predict the position of points of interest.
520 $a In this thesis, a Kalman Filter is constructed using a contrived model to test if, given an accurate gait model, the filter can converge to an accurate and true position solution. Also presented is a Genetic Algorithm approach to dynamic system modeling. The dynamic system is made up of a four-bar linkage and has the ability to adapt to different gaits, both healthy and pathological.
520 $a Results for the Kalman Filter are illustrated through convergence plots, and final position solutions and results for the Genetic Algorithm are given by position solutions of the four-bar linkage. These results show that a genetic approach is robust and has application in gait analysis.
590 $a School code: 1730.
650 4 $a Kinesiology. $3 517627
650 4 $a Mechanics. $3 525881
650 4 $a Statistics. $3 517247
690 $a 0575
690 $a 0346
690 $a 0463
710 2 $a Rose Hulman Institute of Technology. $b Mechanical Engineering. $3 3350630
773 0 $t Masters Abstracts International $g 57-06(E).
790 $a 1730
791 $a M.S.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10815868