Towards operational safety in maritime transportation: a neurophysiological workload measurement using deep learning

Puntos clave

• Operational safety is significantly influenced by neurophysiological workload measurements in maritime environments.
• Deep learning algorithms successfully predict workload levels, improving safety measures in real-time situations.
• Analysis leveraged both algorithmic and neurophysiological data to evaluate workload effectively across various scenarios.
• Highlights the importance of integrating neurophysiological monitoring in maritime operations to enhance overall safety.