Theses and Dissertations

Issuing Body

Mississippi State University


Duffy, Vincent G.

Committee Member

McFadyen, Gary

Committee Member

Hendren, Glen

Committee Member

Warnock, James N.

Committee Member

Goul, Mike

Date of Degree


Document Type

Graduate Thesis - Open Access


Biomedical Engineering

Degree Name

Master of Science


James Worth Bagley College of Engineering


Department of Agricultural and Biological Engineering


Lower Back Disorders account for 16-19% of work related claims and 33-41% of dollars paid in workers? compensation (as cited in Marras, 1999), with impacts to society approaching $100 billion dollars annually (as cited in Marras et al., 1999). Dr. William Marras engineered a device to track trunk kinematics in order to develop a Job Risk Classification Model for predicting high-risk group probability of lower back injury. The device has been validated, but other technologies such as 3-D motion capture can potentially gather the same data. This study examined the use of motion capture to apply two- and three-plane lifting tasks to the Marras model and compare results with commonly used assessment techniques. Regardless of the fact that the Marras model results were drastically different from NIOSH and RULA, motion capture was able to gather all necessary data for running the models and has a promising future in ergonomic assessments.