Filippini, C.; Di Crosta, A.; Palumbo, R.; Perpetuini, D.; Cardone, D.; Ceccato, I.; Di Domenico, A.; Merla, A.
Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach. Sensors 2022, 22, 1789.
https://doi.org/10.3390/s22051789
AMA Style
Filippini C, Di Crosta A, Palumbo R, Perpetuini D, Cardone D, Ceccato I, Di Domenico A, Merla A.
Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach. Sensors. 2022; 22(5):1789.
https://doi.org/10.3390/s22051789
Chicago/Turabian Style
Filippini, Chiara, Adolfo Di Crosta, Rocco Palumbo, David Perpetuini, Daniela Cardone, Irene Ceccato, Alberto Di Domenico, and Arcangelo Merla.
2022. "Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach" Sensors 22, no. 5: 1789.
https://doi.org/10.3390/s22051789
APA Style
Filippini, C., Di Crosta, A., Palumbo, R., Perpetuini, D., Cardone, D., Ceccato, I., Di Domenico, A., & Merla, A.
(2022). Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach. Sensors, 22(5), 1789.
https://doi.org/10.3390/s22051789