In this webinar
Many recent advancements in markerless motion capture and computer vision technology have quickly changed how we can conduct musculoskeletal disorder (MSD) risk assessments in the field, with various computer vision-based MSD risk assessment tools quickly emerging in the market. However, there has been limited guidance for practitioners, ergonomists, or companies on how to best implement these computer vision-based technologies in the workplace.
This webinar will present an overview of a recent study conducted to understand how joint angle data outputs may be influenced by angle of video recording, task characteristics (i.e., sagittal/multi-planar, fast/slow pace), and/or computer vision models. Insights gained from completing this work and some best practice guidance for implementing these computer vision-based MSD risk assessment technologies in your workplace will be shared.
About the presenter
Dr. Dennis Larson is currently a Post-doctoral Researcher in Dr. Steven Fischer’s Occupational Biomechanics and Ergonomics Lab at the University of Waterloo, and he is a practicing certified Associate Ergonomist working with PROergronomics Inc.
Driven by a passion for analyzing human movement and its associations with potential injury risks, specifically in the lower back region, Dennis completed a Ph.D. in Biomechanics at the University of Guelph with Dr. Stephen Brown, where he investigated how back muscle fatigue and lift movement (re)training influenced lumbar spine motion control during repetitive lifting tasks, among other ergonomics research investigations.
With the seemingly exponential growth in machine learning, AI, and computer vision, and its potential integration with ergonomics analysis tools, Dennis’ current post-doctoral work, funded by WorkSafe BC, aims to understand and develop best practice guidance for integrating computer vision approaches into ergonomics assessment tools and to determine if automation of risk assessments using these computer vision approaches are both valid and feasible in the workplace.
Dennis is committed to combining his biomechanics expertise, research skills, and ergonomics knowledge to reduce the burden of musculoskeletal injuries and disorders in the workplace.
Registration
This is a free webinar, but registration is required to reserve your spot. Please complete the below registration form. The webinar login details will be emailed to you the week of the webinar.
For assistance, please contact Betina Butler at bbutler@uwaterloo.ca.
Disclaimer: CRE-MSD receives funding through a grant provided by the Ontario Ministry of Labour, Immigration, Training and Skills Development. The views expressed are those of the presenters and do not necessarily reflect those of the Centre nor of the Province of Ontario.