ORCID
- James Chalmers: https://orcid.org/0009-0004-5102-9708
- Cameron Fowler: https://orcid.org/0009-0007-3301-6403
Degree
Bachelor of Science (B.S.)
Major(s)
Mechanical Engineering
Document Type
Temporary Embargo for Patent/Proprietary Reasons then Campus Only Restricted Access
Abstract
Work-related musculoskeletal disorders (WMSDs) are a significant concern in industrial settings, where repetitive and awkward movements contribute to ergonomic risk. Quantifying this risk allows for a better understanding of operator movement patterns and potential adjustments that can aid in injury risk mitigation. Traditional observational methods, specifically the Rapid Upper Limb Assessment (RULA), provide ergonomic risk assessments but are limited by observer subjectivity and an inability to calculate movement durations. By utilizing wearable technology, precise kinematic and time data can be collected, allowing for more accurate assessments and a better understanding of the ergonomic risk.
To compare the effectiveness of these two methods, data was collected on an operator simultaneously by a wearable compression sleeve and a video-based assessment system. This data was analyzed to calculate a risk score based on the RULA, which is used to provide an in-depth understanding of operator movements. Wearable technology also offers additional assessment methods that can be effectively utilized over multiple individual shifts and weeks, providing near-constant measurement if desired. This more comprehensive understanding of operator kinematics can aid in lowering ergonomic risk and therefore helping to mitigate potential WMSDs. Further research is needed to continue to refine the data processing efficiency and feasibility of long-term use.
DOI
https://doi.org/10.54718/UIQQ2729
Date Defended
5-1-2025
Funding Source
Provost Scholar Funds
Thesis Director
Lesley Strawderman, Ph.D.
Second Committee Member
David Saucier
Third Committee Member
Holli Seitz, Ph.D.
Recommended Citation
Chalmers, James H. IV and Fowler, Cameron, "Comparing a wearable smart sleeve to observational methods to measure ergonomic risk of Industrial Athletes on an automotive paint line" (2025). Honors Theses. 175.
https://scholarsjunction.msstate.edu/honorstheses/175
Rights Statement
"Comparing a wearable smart sleeve to observational methods to measure ergonomic risk of Industrial Athletes on an automotive paint line", Copyright 2025 by James H Chalmers IV. All rights reserved. Note that in addition to my own works of authorship, this thesis may contain and provide citations to third party content. If your use goes beyond fair use, you would need to contact those rights holders for additional licensing/permissions.
