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Professional Drivers' Health

Federico Chiosso

Professional Drivers' Health.

Rel. Danilo Demarchi, Marcello Chiaberge. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2022


"Driver Health: combining biometrics and autonomous driving to improve road users' safety" The main aim of the thesis is the collection of the driver's biometric data - such as heart rate, blood pressure, etc. – by means of a personal device (e.g., a smartwatch), the analysis of these data and the transmission of the data to the vehicle. By analyzing the biometric data it is possible to estimate the health status of the driver and, in case of any severe criticality (e.g., heart attack), the device provides to the vehicle a trigger signal, able to activate an emergency procedure. The thesis will focus on the design of an HW/SW Proof-of-Concept able to monitor the vital parameters. In particular, the thesis aims to analyze: - The scientific research about the drivers' health - The choice of the best device to measure health data - The strategy for the data collection among drivers - The design, the testing and the validation of a SW architecture to fetch health data - The planning of futher developments

Relators: Danilo Demarchi, Marcello Chiaberge
Academic year: 2022/23
Publication type: Electronic
Number of Pages: 123
Additional Information: Tesi secretata. Fulltext non presente
Corso di laurea: Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica)
Classe di laurea: New organization > Master science > LM-25 - AUTOMATION ENGINEERING
Aziende collaboratrici: Accenture SpA
URI: http://webthesis.biblio.polito.it/id/eprint/25582
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