NIOSHTIC-2 Publications Search

Development of models for prediction of optimal lifting motion.

Authors
Ayoub MM
Source
Atlanta, GA: U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control, National Institute for Occupational Safety and Health, R01-OH-002434, 1991 Sep; :1-104
Link
NIOSHTIC No.
00205042
Abstract
The angular movement of five human joints was simulated based on the invariant characteristics of manual lifting that are multidirectional and multiarticular and executed by large muscle groups generating within maximum torques. This study dealt with only one set of performance limitations of manual lifting, those produced by the understanding of human physical capacities and task requirements. It was assumed that the body will perform the lifting motion pattern in such a fashion so as to minimize a cost function. Therefore, the focus of the research was to identify the paths of motion of each of five selected joints (elbow, shoulder, hip, knee, and ankle) within the feasible space which will minimize the cost function. Three different optimization searching algorithms were introduced to minimize the objective function representing the total work done in lifting. These algorithms were: heuristic dynamic programming, filtering by total enumeration, and the general reduced gradient algorithm. A comparison was made between the prediction of the five selected joints to the actual paths to illustrate the validity of the model.
Keywords
NIOSH-Grant; Musculoskeletal-system-disorders; Task-performance; Physiological-measurements; Manual-lifting; Biomechanics; Mathematical-models
Contact
Industrial Engineering Texas Tech University P O Box 4130 Lubbock, Tex 79409
Publication Date
19910930
Document Type
Final Grant Report
Funding Amount
398227
Funding Type
Grant;
Fiscal Year
1991
NTIS Accession No.
PB92-164656
NTIS Price
A07
Identifying No.
Grant-Number-R01-OH-002434
NIOSH Division
OEP
Source Name
National Institute for Occupational Safety and Health
State
TX
Performing Organization
Texas Tech University, Lubbock, Texas
Page last reviewed: September 2, 2020
Content source: National Institute for Occupational Safety and Health Education and Information Division