A model to predict human motion during lifting

M. M. Ayoub; Jeffrey C Woldstad; C. Joe Lin; Tracey Bernard

doi:10.4271/981303

A model to predict human motion during lifting

M. M. Ayoub, Jeffrey C Woldstad, C. Joe Lin, Tracey Bernard

Biological Systems Engineering

Research output: Contribution to conference › Paper › peer-review

4 Scopus citations

Abstract

This paper reports on a dynamic simulation model developed for biomechanical analyses of lifting activities performed in the sagittal plane. The model simulates the dynamic motion of lifting tasks for five body joints: the elbow, shoulder, hip, knee, and ankle. The inputs to the model include initial and final joint postures; gender, weight, and height; weight of load; lifting height; and container dimensions. The model predicts the kinetics and kinematics for the lift. Actual motion data were collected using 10 subjects in the laboratory for 360 lifts which consisting of 12 lifting tasks including two lifting heights, two container sizes, and three weights of load. Results demonstrate that the simulation model can be an effective alternative to collecting posture and time-displacement data for lifting task analyses.

Original language	English (US)
DOIs	https://doi.org/10.4271/981303
State	Published - Dec 1 1998
Event	Digital Human Modeling for Design and Engineering Conference and Exposition - Dayton, OH, United States Duration: Apr 28 1998 → Apr 29 1998

Conference

Conference	Digital Human Modeling for Design and Engineering Conference and Exposition
Country/Territory	United States
City	Dayton, OH
Period	4/28/98 → 4/29/98

ASJC Scopus subject areas

Automotive Engineering
Safety, Risk, Reliability and Quality
Pollution
Industrial and Manufacturing Engineering

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title = "A model to predict human motion during lifting",

abstract = "This paper reports on a dynamic simulation model developed for biomechanical analyses of lifting activities performed in the sagittal plane. The model simulates the dynamic motion of lifting tasks for five body joints: the elbow, shoulder, hip, knee, and ankle. The inputs to the model include initial and final joint postures; gender, weight, and height; weight of load; lifting height; and container dimensions. The model predicts the kinetics and kinematics for the lift. Actual motion data were collected using 10 subjects in the laboratory for 360 lifts which consisting of 12 lifting tasks including two lifting heights, two container sizes, and three weights of load. Results demonstrate that the simulation model can be an effective alternative to collecting posture and time-displacement data for lifting task analyses.",

author = "Ayoub, {M. M.} and Woldstad, {Jeffrey C} and Lin, {C. Joe} and Tracey Bernard",

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AU - Ayoub, M. M.

AU - Woldstad, Jeffrey C

AU - Lin, C. Joe

AU - Bernard, Tracey

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N2 - This paper reports on a dynamic simulation model developed for biomechanical analyses of lifting activities performed in the sagittal plane. The model simulates the dynamic motion of lifting tasks for five body joints: the elbow, shoulder, hip, knee, and ankle. The inputs to the model include initial and final joint postures; gender, weight, and height; weight of load; lifting height; and container dimensions. The model predicts the kinetics and kinematics for the lift. Actual motion data were collected using 10 subjects in the laboratory for 360 lifts which consisting of 12 lifting tasks including two lifting heights, two container sizes, and three weights of load. Results demonstrate that the simulation model can be an effective alternative to collecting posture and time-displacement data for lifting task analyses.

AB - This paper reports on a dynamic simulation model developed for biomechanical analyses of lifting activities performed in the sagittal plane. The model simulates the dynamic motion of lifting tasks for five body joints: the elbow, shoulder, hip, knee, and ankle. The inputs to the model include initial and final joint postures; gender, weight, and height; weight of load; lifting height; and container dimensions. The model predicts the kinetics and kinematics for the lift. Actual motion data were collected using 10 subjects in the laboratory for 360 lifts which consisting of 12 lifting tasks including two lifting heights, two container sizes, and three weights of load. Results demonstrate that the simulation model can be an effective alternative to collecting posture and time-displacement data for lifting task analyses.

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M3 - Paper

T2 - Digital Human Modeling for Design and Engineering Conference and Exposition

Y2 - 28 April 1998 through 29 April 1998

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A model to predict human motion during lifting

Abstract

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