Marco Filippi
Mining physiological signals for motion sickness identification.
Rel. Silvia Anna Chiusano, Elena Daraio. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2019
Abstract
The incongruity between the movement recognized by the vestibular system and the one recognized by the visual system can generate motion sickness. Taking a journey by car is one of the contexts in which this phenomenon is manifested. It is therefore interesting for automotive companies to try to automatically reveal this phenomenon to remedy it and improve the experience of people in the passenger compartment. This thesis work presents a data analysis solution to automatically analyse the physiological response of a subject suffering from motion sickness. The goal is to early detect the onset of motion sickness in order to implement timely corrective actions that can stop the discomfort in the bud.
In this thesis work, the physiological response of the subject is analyzed considering the level of sweating of the subjects examined
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