Applying neural network analysis on heart rate variability data to assess driver fatigue

► In this study we show heart rate variability which can be used as a passive means to quantify drowsiness. Frequency domain components of HRV is used for early detection of fatigue. ► We also designed a neural network based artificial intelligent algorithm which detects whether the given HRV signal is in alert of fatigue state. ► The frequency domain components of HRV were also used to distinguish between parasympathetic (HF) and sympathetic (LF) activities using LF/HF ratio. Statistical analysis was also performed to identify the difference between LF/HF ratio during alert and fatigue states.