Development of Models for Prediction of Optimal Lifting Motion.
Department of Industrial Engineering, Texas Tech, University, Lubbock Texas 1991 Sep:104 pages
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.
NIOSH-Grant; Musculoskeletal-system-disorders; Task-performance; Physiological-measurements; Manual-lifting; Biomechanics; Mathematical-models;
Industrial Engineering Texas Tech University P O Box 4130 Lubbock, Tex 79409
Final Grant Report;
NTIS Accession No.
Musculoskeletal Disorders of the Upper Extremities; Disease and Injury; Musculoskeletal-system-disorders;
Department of Industrial Engineering, Texas Tech, University, Lubbock Texas
Texas Tech University, Lubbock, Texas