A machine learning based framework to analyse physiological signals for drowsiness identification

Ilaria Botticelli

A machine learning based framework to analyse physiological signals for drowsiness identification.

Rel. Silvia Anna Chiusano, Letizia Tanca. Politecnico di Torino, Master of science program in Computer Engineering, 2019

Abstract:	This thesis aims to analyse physiological signals for drowsiness identification.
Relators:	Silvia Anna Chiusano, Letizia Tanca
Academic year:	2019/20
Publication type:	Electronic
Number of Pages:	99
Additional Information:	Tesi secretata. Fulltext non presente
Subjects:
Corso di laurea:	Master of science program in Computer Engineering
Classe di laurea:	New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING
Aziende collaboratrici:	UNSPECIFIED
URI:	http://webthesis.biblio.polito.it/id/eprint/13129

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