22 février 2017

Detecting hypovigilance, fatigue, and distraction with the NEXYAD real time driving risk assessment SafetyNex

Detecting hypovigilance, fatigue, and distraction with the NEXYAD real time driving risk assessment SafetyNex SafetyNex estimates driving risk in real time. The approach is to estimate if the driving behaviour (speed and acceleration) are appropriate or inappropriate to the infrastructure difficulty : on a disused airport, high speed and aggressive behaviour is not dangerous, although it is in front on a school, or approaching a narrow curve, etc ... read more :... [Lire la suite]

08 février 2017

SafetyNex driving risk profiles may solve the problem of hypovigilance and fatigue detection

SafetyNex driving risk profiles may solve the problem of hypovigilance and fatigue detection SafetyNex is a nomadic real-time risk estimation system, based on Artificial Intelligence (AI). The system has been described in detail in previous publications and uses the key concept of "near-accident" or "quasi-accident", and is a result of 15 years of collaborative research with road safety experts and researchers. See http://www.safetynex.net The main competitive advantage of SafetyNex is that it allows, since the risk is... [Lire la suite]
29 juillet 2016

Physiological signal based detection of driver hypovigilance using higher order spectra

Physiological signal based detection of driver hypovigilance using higher order spectra In this work, the focus is on developing a system that can detect hypovigilance, which includes both drowsiness and inattention, using Electrocardiogram (ECG) and Electromyogram (EMG) signals. Drowsiness has been manipulated by allowing the driver to drive monotonously at a limited speed for long hours and inattention was manipulated by asking the driver to respond to phone calls and short messaging services. ECG and EMG signals along with the... [Lire la suite]