Publication

  • L. Davoli, V. Mattioli, S. Gambetta, L. Belli, L. Carnevali, M. Martalò, A. Sgoifo, R. Raheli and G. Ferrari. Non-Invasive Psycho-Physiological Driver Monitoring through IoT-Oriented Systems. In The Internet of Medical Things: Enabling technologies and emerging applications, Institution of Engineering and Technology, pp. 19–33, 2021. bib | doi ]
  • @inbook{damagabecamasgrafe:2021:iomt:bc,
        author = {{Davoli}, Luca and {Mattioli}, Veronica and {Gambetta}, Sara and {Belli}, Laura and {Carnevali}, Luca and {Martalò}, Marco and {Sgoifo}, Andrea and {Raheli}, Riccardo and {Ferrari}, Gianluigi},
        editor = {{Kumar Pani}, Subhendu and {Patra}, Priyadarsan and {Ferrari}, Gianluigi and {Kraleva}, Radoslava and {Wang}, Xinheng},
        title = {{Non-Invasive Psycho-Physiological Driver Monitoring through IoT-Oriented Systems}},
        booktitle = {The Internet of Medical Things: Enabling technologies and emerging applications},
        year = {2021},
        publisher = {Institution of Engineering and Technology},
        address = {London, UK},
        pages = {19--33},
        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 to collect heterogeneous data that can build the foundation for driver's psycho-physiological characterization, with the aim of improving safety and security while driving. This chapter evaluates and discusses the feasibility and usefulness of a non-invasive 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 psycho-physiological state in different driving scenarios.},
        isbn = {9781839532733},
        doi = {10.1049/PBHE034E_ch2}
    }