Presented by
University of Waterloo
Dennis Larson
Postdoctoral Researcher
Recent advancements in computer vision technology are rapidly changing how we conduct musculoskeletal disorder (MSD) risk assessments in the field. Now with just the tap of a button on our smartphones, we can easily record videos of workplace activities that can uploaded and analyzed by computer vision tools to assess postures and movements involved in completing workplace tasks. However, computer vision may not be a one-size-fits-all solution and both researchers and companies are working to understand how to best implement and interpret results from these technologies to optimize their MSD prevention efforts. Drawing on the findings of a recent study we conducted at the University of Waterloo and other related research, we will provide evidence-based insights to guide best practices for integrating computer vision-based MSD assessment technology into workplace ergonomics and health and safety programs.