Artificial neural networks for predicting ground reaction forces, feet centers of pressure, spine loads, and trunk muscle forces during load-handling activities

Key Points

• Ground reaction forces can be accurately predicted using artificial neural networks, improving safety protocols.
• The model shows an impressive prediction accuracy of over 90% for trunk muscle forces during specific activities.
• Assessment using artificial neural networks provides insights into spine loads and centers of pressure, enabling better ergonomic designs.
• These findings support the implementation of advanced modeling techniques to enhance load-handling protocols and minimize injury risks.