1994 Fiscal Year Final Research Report Summary
Identification Method of Human Muscle Characteristics Using Inverse Analyzing Technique.
| Project/Area Number |
05805022
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| Research Category |
Grant-in-Aid for General Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Research Field |
Dynamics/Control
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| Research Institution | NAGAOKA UNIVERSITY OF TECHNOLOGY |
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Principal Investigator |
HASEGAWA Mitsuhiko Nagaoka University of Technology Mechanical Engineering Assosiate Professor, 工学部機械系, 助教授 (30115117)
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| Co-Investigator(Kenkyū-buntansha) |
SHIONOY Akira Nagaoka University of Technology Physical Education and Health Care Center Lectu, 体育・保健センター, 講師 (50187332)
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| Project Period (FY) |
1993 – 1994
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| Keywords | Human Muscle Characteristics / Human Dynamics / Inverse Analysis |
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| Research Abstract |
In this study tne new method for identification of human muscle techonology in the case of elbow flexion, using inverse-analysis method. There is a known analytical method for obtaining the dynamic characterristics of an arbitraly complex movement, which consist of the following steps :
(1) Construction of the momentum-equation, based on the dynamic model of the body.
(2) Application of the inverse-analysis technique, on the experimental date.
(3) Calculation of the driving force and moment.
For the purpose, we need to develop further the inverse-analysis method, which gives us the oppotunity to obtain extended set OF muscle characteristics usefle for modeling complex purposeful-motion exercises. The inprovement is based on the Getetic Algorithm (GA), the programming technique imitating biological evoluation by means of natural selection. First, we study the human-elbow flexion of a mono-articular with maximum muscle effort against inertia loads. The biceps muscle is represented as an equivalent elbow-flexor which is composed by two-components : contactile component (CC) and series elastic component (SEC). The muscle parameters are obtained through GA-based method using inverse-analysis of the experimental data sets corresponding to 4 different values of the inertia load applied. The dynamics curves from the computer simulation wre found satisfactorily closed to the experimental curves, what shows the reliability of the prposed computational model.
Additionally, the dynamic analysis of constant-speed elbow-flexion was simulated, using the obtained parameter values. A real experiment with an isokinematic device was performed, and then the both simulation and real date were agreeably mached each other. This result also approves the properness of the developed method.
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