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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, Corso di laurea magistrale in Ingegneria Informatica (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: Corso di laurea magistrale in Ingegneria Informatica (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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