Advancing Construction Safety through AI and Computer Vision: Ergonomic Assessment and Real-Time Monitoring
- Post by: wogalterm
- November 14, 2025
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IEA Webinar: 12th December 2025, 3 PM UTC (60 mins) Building and Construction Technical Committee Presenter Dr. SangHyun Lee, University of Michigan Speaker Bio: Dr. Lee is a Robert B. Harris Collegiate professor & John L. Tishman faculty scholar in Civil and Environmental Engineering, University of Michigan. He directs the Dynamic Project Management (DPM) Lab
IEA Webinar: 12th December 2025, 3 PM UTC (60 mins)
Building and Construction Technical Committee
Presenter
Dr. SangHyun Lee, University of Michigan
Speaker Bio: Dr. Lee is a Robert B. Harris Collegiate professor & John L. Tishman faculty scholar in Civil and Environmental Engineering, University of Michigan. He directs the Dynamic Project Management (DPM) Lab at the University of Michigan. He is the founder of Kinetica Labs, Inc., a pioneer in sensorless motion capture for ergonomic risk assessment, which was acquired by VelocityEHS, where he now serves as a Machine Learning Scientist. He is an elected member of the National Academy of Construction and an ASCE Fellow.
His research advances empathetic construction and infrastructure management by leveraging wearables, robotics, and automation to enhance human performance. He has received numerous honors, including the ASCE Daniel W. Halpin Award, ASCE Thomas Fitch Rowland Prize, FIATECH Outstanding Early Career Researcher Award, CII Distinguished Professor Award, and the University of Michigan’s Henry Russel Award, among others. He has published over 280 peer-reviewed publications with a h-index of 67 and holds 7 U.S. patents
Seminar Abstract: He will deliver a seminar about how Artificial Intelligence (AI) has emerged as a transformative tool for advancing ergonomics research and practice, offering novel approaches to evaluating and mitigating occupational risks. My scholarly and translational activities aim to deepen the understanding of worker biomechanics and behavior to promote environments that safeguard health, safety, and well-being, leveraging AI. In this talk, I will highlight two of my primary research streams:
(1)Computer vision–based evaluation of work-related musculoskeletal disorder (WMSD) risks, including markerless motion capture, image and video captioning, and motion generation.
(2)Wearable biosensor–based fall risk detection.
Empirical findings, methodological considerations, and implementation challenges will be discussed, along with perspectives on future directions for integrating AI into ergonomic risk assessment and intervention design.
Zoom registration: https://us02web.zoom.us/webinar/register/WN_Ei2t8d0sRL6HFrtuxS1SwA
Registration is free to all interested people. The webinar will be recorded and published on YouTube. Registration permits live interaction with the presenters via Q&A.
