Article Versions Notes

Cardone D, Perpetuini D, Filippini C, Mancini L, Nocco S, Tritto M, Rinella S, Giacobbe A, Fallica G, Ricci F, et al. Classification of Drivers’ Mental Workload Levels: Comparison of Machine Learning Methods Based on ECG and Infrared Thermal Signals. Sensors. 2022; 22(19):7300. https://doi.org/10.3390/s22197300

Cardone, Daniela, David Perpetuini, Chiara Filippini, Lorenza Mancini, Sergio Nocco, Michele Tritto, Sergio Rinella, Alberto Giacobbe, Giorgio Fallica, Fabrizio Ricci, and et al. 2022. "Classification of Drivers’ Mental Workload Levels: Comparison of Machine Learning Methods Based on ECG and Infrared Thermal Signals" Sensors 22, no. 19: 7300. https://doi.org/10.3390/s22197300

Cardone, D., Perpetuini, D., Filippini, C., Mancini, L., Nocco, S., Tritto, M., Rinella, S., Giacobbe, A., Fallica, G., Ricci, F., Gallina, S., & Merla, A. (2022). Classification of Drivers’ Mental Workload Levels: Comparison of Machine Learning Methods Based on ECG and Infrared Thermal Signals. Sensors, 22(19), 7300. https://doi.org/10.3390/s22197300