A 3D Human-Machine Integrated Design and Analysis Framework for SquatExercises with a Smith Machine

Collection with item attached
2017
Item details URL
http://open-repository.kisti.re.kr/cube/handle/open_repository/473464.do
DOI
10.3390/s17020299
Title
A 3D Human-Machine Integrated Design and Analysis Framework for SquatExercises with a Smith Machine
Description
This study was financially supported by the Ministry of Educationthrough the support of National Research Foundation of Korea's BasicHumanities and Social Research Support-General Joint Research SupportProject in 2014 (Project number: NRF-2013S1A5A2A03045819).
abstract
In this paper, we propose a three-dimensional design and evaluation framework and process based on a probabilistic-based motion synthesis algorithm and biomechanical analysis system for the design of the Smith machine and squat training programs. Moreover, we implemented a prototype system to validate the proposed framework. The framework consists of an integrated human-machine-environment model as well as a squat motion synthesis system and biomechanical analysis system. In the design and evaluation process, we created an integrated model in which interactions between a human body and machine or the ground are modeled as joints with constraints at contact points. Next, we generated Smith squat motion using the motion synthesis program based on a Gaussian process regression algorithm with a set of given values for independent variables. Then, using the biomechanical analysis system, we simulated joint moments and muscle activities from the input of the integrated model and squat motion. We validated the model and algorithm through physical experiments measuring the electromyography (EMG) signals, ground forces, and squat motions as well as through a biomechanical simulation of muscle forces. The proposed approach enables the incorporation of biomechanics in the design process and reduces the need for physical experiments and prototypes in the development of training programs and new Smith machines.
provenance
Made available in Cube on 2018-09-28T10:20:17Z (GMT). No. of bitstreams: 0
language
English
author
Lee, Haerin
Jung, Moonki
Lee, Ki-Kwang
Lee, Sang Hun
orcid
Jung, Moon Ki/0000-0003-0704-7736
accessioned
2018-09-28T10:20:17Z
available
2018-09-28T10:20:17Z
issued
2017
citation
SENSORS(17): 2
issn
1424-8220
uri
http://open-repository.kisti.re.kr/cube/handle/open_repository/473464.do
Funder
교육부
Funding Program
인문사회기초연구
Project ID
1345240492
Jurisdiction
Rep.of Korea
Project Name
Research of test framework development and virtual design of training system by digital human modeling for delaying neuromuscular function decline.
rights
openAccess
subject
squat
biomechanical analysis
musculoskeletal model
Gaussian processregression
motion generation
digital human modeling
type
article


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