Toward electronic work design.
-
1988/10/01
-
By Lee HT
Details
-
Personal Author:
-
Description:A dynamic lifting model was developed which provided a lifting profile with the associated biomechanical loads at each joint within the dynamic strength limits. A mathematical programming approach was used to simulate and evaluate lifting tasks to avoid the need for human motion tracking experiments, data collection, and data analysis procedures. The hypothesis on which the model was based was that human lifting patterns follow the principle of minimizing mechanical work, while maximizing the utilization of the musculoskeletal system. Two lifting tasks were simulated using the model. The first example was lifting from floor to knuckle height and the second dealt with lifting from floor to shoulder height. The simulation study paid particular attention to the mechanical behavior of the link system and demonstrated that the associated differences between the predicted motion and the measured motion was biomechanically feasible and the accuracy was considered adequate with an average U statistics ranging from 0.012 to 0.209. [Description provided by NIOSH]
-
Subjects:
-
Keywords:
-
ISSN:1071-1813
-
Publisher:
-
Document Type:
-
Funding:
-
Genre:
-
Place as Subject:
-
CIO:
-
Topic:
-
Location:
-
Volume:1
-
NIOSHTIC Number:nn:00184589
-
Citation:Proceedings of the Human Factors Society 32nd Annual Meeting, Riding the Wave of Innovation, October 24-28, 1988, Anaheim, California. Santa Monica, CA: Human Factors Society, 1988 Oct; 1:622-626
-
Contact Point Address:Industrial Engineering Texas Tech University P O Box 4130 Lubbock, Tex 79409
-
Federal Fiscal Year:1989
-
NORA Priority Area:
-
Performing Organization:Texas Tech University, Lubbock, Texas
-
Peer Reviewed:True
-
Start Date:19880101
-
Source Full Name:Proceedings of the Human Factors Society 32nd Annual Meeting, Riding the Wave of Innovation, October 24-28, 1988, Anaheim, California
-
End Date:19950831
-
Collection(s):
-
Main Document Checksum:urn:sha-512:bf47086c6793f92e1c1acb8b727b1f1c2b96c8396536c3146f6403682b6c5408ebe41b091c1a8f25a931cb7a1e6d5c7b160ec1bb7ba87f1c27934f4056a6266b
-
Download URL:
-
File Type:
ON THIS PAGE
CDC STACKS serves as an archival repository of CDC-published products including
scientific findings,
journal articles, guidelines, recommendations, or other public health information authored or
co-authored by CDC or funded partners.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
As a repository, CDC STACKS retains documents in their original published format to ensure public access to scientific information.
You May Also Like