Fatigue causes serious accidents and quality failures in professional vehicle operation — forestry, mining, trucking, construction. Current measures are administrative: shift limits and self-reporting. They set thresholds but offer no real-time visibility into the operator’s actual physiological state. Modern vehicles already carry the contact surfaces — steering wheels, seats — that can capture heart rate, HRV, and behavioural signals non-intrusively. The gap is intelligent integration that detects fatigue early and acts on it, not just alarms.​

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What combination of non-intrusive physiological signals (PPG from steering grip, seat pressure, skin conductance) and behavioural signals (steering corrections, gaze) gives the most reliable early fatigue warning? How should the system communicate without creating alarm fatigue or distraction? What might be the novel ways for the vehicle to act when driver fatigue is identified?​

In this project we are looking for demos and prototypes to identify fatigue, stress or other important factors through physiological markers and concept different ways these could be addressed.​