The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to prevent work-related musculoskeletal disorders (WMSDs), a leading cause of pain, suffering, and disability in the US workforce. The proposed technology estimates forces exerted on the human body and 3D motions solely by processing videos captured with a smartphone, and without needing to attach sensors to the workers or objects. This technological advancement will provide safety professionals with a rapid, easy and affordable ergonomic risk assessment tool without hindering activity at job sites, improving outcomes for potential patients. Among many industries that suffer from WMSDs, immediate targets are manufacturing and distribution that have high injury rates. This Small Business Technology Transfer (STTR) Phase I project aims to overcome the current hurdles posed by invasive, time-consuming, and cumbersome force measurement for ergonomic risk assessment at job sites. The proposed technology estimates forces exerted on key body parts (e.g., neck, shoulder, back, and knees) and their motions through videos captured with a smartphone and without interfering with workersâ ongoing work, thereby making ergonomic risk assessment non-invasive, rapid and easy. However, for application at real job sites where frequent occlusions (objects or structures obscuring the workerâs body) and complicated work environments pose a significant challenge to estimating forces and motions from videos, the algorithms used in the technology have to be improved and tested with a diverse range of motion and force data. This project aims to address these technical challenges through a new data augmentation approach, refinement and optimization of force estimation models, and extensive lab and real job site data collection and testing.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criter
