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Driver Monitoring System based on thermal infrared imaging

To overcome the limitations of contact sensors, computational psychophysiology based on thermal infrared (IR) imaging has been assessed as a solution for the quantitative evaluation of several parameters associated with ANS activity.
The possibility to assess human factors through non-contact technology makes thermal IR imaging perfectly suitable for in cabin monitoring. Recently, we developed machine learning-based models to classify driver’s stress, drowsiness, thermal comfort, and cognitive workload.
In this talk, we will show the latest advancements in the field.


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Hear from:

Arcangelo Merla

Arrcangelo Merla
Professor, Biomedical Engineering
G. d’Annunzio University
of Chieti-Pescara




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