The current dataset contributes to assess the accuracy of the Empatica 4 (E4) wristband for the detection of heart rate variability (HRV) and electrodermal activity (EDA) metrics in stress-inducing conditions and growing-risk driving scenarios. Heart Rate Variability (HRV) and ElectroDermal Activity (EDA) signals were recorded over six experimental conditions (i.e., Baseline, Video Clip, Scream, No Risk Driving, Low-Risk Driving, and High-Risk Driving) and by means of two measurement systems: the E4 device and a gold standard system. The raw quality of the physiological signals was enhanced by means of robust semi-automatic reconstruction algorithms. Heart Rate Variability time-domain parameters showed high accuracy in motion-free experimental conditions, while Heart Rate Variability frequency-domain parameters reported sufficient accuracy in almost every experimental condition.

This work was supported by: • Centro Protesi INAIL (Istituto Nazionale per l'Assicurazione contro gli Infortuni sul Lavoro) within the project PR19-SV-P1 "Rip@rto"—Simulatore di guida per assistere operatori nella valutazione delle capacità di guida dell'utente e nella scelta degli ausili di cui dotare l'automobile. • Ricerca Corrente 2022-2023 awarded to Dr. E. Biffi.