A Wearable Motion Tracking System to Detect WrMSD


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Work-related musculoskeletal disorders are among the most commonly occurring injuries when completing manually intensive jobs. To prevent these injuries, a worker must recognize potentially harmful repetitive motions and avoid them. To assist in this detection, I designed a wearable motion tracking system that could in the future detect and alert workers of harmful activities. The system consists of various sensors that stream their data to an Android app for visualization and storage.


First Name Last Name
Zachary Taylor

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Submission Details

Conference URC
Event Interdisciplinary Science and Engineering (ISE)
Department Computer Science (ISE)
Group Systems
Added April 13, 2022, 8 p.m.
Updated April 18, 2022, 4:03 p.m.
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