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Leveraging Digital Perceptual Technologies for Analysis of Human Biomechanical Processes: A Contactless Approach for
Jesudara Omidokun1, Darlington Egeonu1, Bochen Jia1
1Industrial and Manufacturing System Engineering Department, University of Michigan-Dearborn, Dearborn, MI, USA.
None:
OCCUPATIONAL APPLICATIONWe present a computer vision framework that is intended to help enhance workplace safety and productivity across diverse occupational domains by monitoring worker movements and identifying ergonomic risks. By analyzing movement patterns and biomechanics, use of this framework could promote safe and healthy working conditions, helping to prevent injuries and mitigate workplace accidents. Additionally, application of the framework could aid in assessing assistive technologies that support workers with various conditions in completing tasks safely and efficiently, thereby helping to boost productivity.

