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Inicio  /  Applied Sciences  /  Vol: 10 Par: 16 (2020)  /  Artículo
ARTÍCULO
TITULO

Driver Stress State Evaluation by Means of Thermal Imaging: A Supervised Machine Learning Approach Based on ECG Signal

Daniela Cardone    
David Perpetuini    
Chiara Filippini    
Edoardo Spadolini    
Lorenza Mancini    
Antonio Maria Chiarelli and Arcangelo Merla    

Resumen

A procedure for a driver?s stress state monitoring was provided by means of thermal infrared imaging. It was validated on ECG-derived parameters through the application of supervised machine learning techniques.

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