Physiological parameters variation during driving simulations

C. Zocchi, A. Rovetta, F. Fanfulla

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

This paper deals with the methodology of using biorobotics principles for creating a new intelligent system, to improve safety in an automobile transportation. Many projects in European Union programs are devoted to the increase of safety in automotive, in order to reduce deaths and accidents down to 50% in the next few years. The project here presented, named PSYCAR (feasibility analysis on a car control system by psychic-physical parameters), aims at a new driving system, where the steering wheel is inserted in an architecture of intelligent sensors, able to monitor the psychophysical state of the driver, in order to avoid accidents due to sleep attacks and microsleeps. All the indications will come from the steering wheel, where the hands and the finger actuate a great part of the car control. Main goal of the research is to define the right parameters for driver's psycho-physical status monitoring during simulated tests. The heart of this paper is the application of multivariate statistics methods for evaluating the correlations between the physiological parameters acquired (EEG, galvanic skin response or resistance, peripheral temperature and heart rate variability).

Original languageEnglish
Title of host publicationIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
DOIs
Publication statusPublished - 2007
Event2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM - Zurich, Switzerland
Duration: Sep 4 2007Sep 7 2007

Other

Other2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
CountrySwitzerland
CityZurich
Period9/4/079/7/07

Fingerprint

Wheels
Accidents
Railroad cars
Intelligent systems
Electroencephalography
Automobiles
Skin
Statistics
Control systems
Monitoring
Sensors
Temperature
European Union
Sleep

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Zocchi, C., Rovetta, A., & Fanfulla, F. (2007). Physiological parameters variation during driving simulations. In IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM [4412503] https://doi.org/10.1109/AIM.2007.4412503

Physiological parameters variation during driving simulations. / Zocchi, C.; Rovetta, A.; Fanfulla, F.

IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM. 2007. 4412503.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zocchi, C, Rovetta, A & Fanfulla, F 2007, Physiological parameters variation during driving simulations. in IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM., 4412503, 2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, Zurich, Switzerland, 9/4/07. https://doi.org/10.1109/AIM.2007.4412503
Zocchi C, Rovetta A, Fanfulla F. Physiological parameters variation during driving simulations. In IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM. 2007. 4412503 https://doi.org/10.1109/AIM.2007.4412503
Zocchi, C. ; Rovetta, A. ; Fanfulla, F. / Physiological parameters variation during driving simulations. IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM. 2007.
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