A data-driven ergonomic risk assessment system for hand and finger activity is designed to identify issues in hand-intensive manufacturing processes. The system captures injurious activity and leverages machine learning to automate and enhance risk-scoring methods.
- Anand Krishnan
- Xingjian Yang
- Krithika Manohar
