The definition, analysis, and implementation of in-vehicle monitoring systems that collect data which are informative of the status of the joint driver-vehicle system represent a topic of strong interest from both academic players and industrial manufacturers. Many external factors, such as road design, road layout, traffic flow, and weather, can influence and increase driving-related stress, potentially increasing risks. The ubiquitous diffusion of Internet of Things (IoT) technologies allows one to collect heterogeneous data that can build the foundation for driver’s psychophysiological characterization, with the aim of improving safety and security while driving. This chapter evaluates and discusses the feasibility and usefulness of a noninvasive IoT-oriented driver monitoring infrastructure aiming at collecting physiological parameters (such as heart rate variability, HRV) that may be adopted as biomarkers of the driver’s psychophysiological state in different driving scenarios.

Non-invasive psycho-physiological driver monitoring through IoT-oriented systems / Davoli, Luca; Mattioli, Veronica; Gambetta, Sara; Belli, Laura; Carnevali, Luca; Martalo, Marco; Sgoifo, Andrea; Raheli, Riccardo; Ferrari, Gianluigi. - (2022). [10.1049/PBHE034E_ch2]

Non-invasive psycho-physiological driver monitoring through IoT-oriented systems

Luca Davoli;Veronica Mattioli;Sara Gambetta;Laura Belli;Luca Carnevali;Andrea Sgoifo;Riccardo Raheli;Gianluigi Ferrari
2022

Abstract

The definition, analysis, and implementation of in-vehicle monitoring systems that collect data which are informative of the status of the joint driver-vehicle system represent a topic of strong interest from both academic players and industrial manufacturers. Many external factors, such as road design, road layout, traffic flow, and weather, can influence and increase driving-related stress, potentially increasing risks. The ubiquitous diffusion of Internet of Things (IoT) technologies allows one to collect heterogeneous data that can build the foundation for driver’s psychophysiological characterization, with the aim of improving safety and security while driving. This chapter evaluates and discusses the feasibility and usefulness of a noninvasive IoT-oriented driver monitoring infrastructure aiming at collecting physiological parameters (such as heart rate variability, HRV) that may be adopted as biomarkers of the driver’s psychophysiological state in different driving scenarios.
978-1-83953-273-3
978-1-83953-274-0
Non-invasive psycho-physiological driver monitoring through IoT-oriented systems / Davoli, Luca; Mattioli, Veronica; Gambetta, Sara; Belli, Laura; Carnevali, Luca; Martalo, Marco; Sgoifo, Andrea; Raheli, Riccardo; Ferrari, Gianluigi. - (2022). [10.1049/PBHE034E_ch2]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11381/2908541
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