Research Article
DrivingStyles: Assessing the Correlation of Driving Behavior with Heart Rate Changes
@INPROCEEDINGS{10.1007/978-3-319-61949-1_3, author={Javier Meseguer and Carlos Calafate and Juan Cano}, title={DrivingStyles: Assessing the Correlation of Driving Behavior with Heart Rate Changes}, proceedings={Smart Objects and Technologies for Social Good. Second International Conference, GOODTECHS 2016, Venice, Italy, November 30 -- December 1, 2016, Proceedings}, proceedings_a={GOODTECHS}, year={2017}, month={7}, keywords={Driving styles Android smartphone OBD-II Neural networks Driving behavior Heart rate Heart rate belt Eco-driving Consumption Road safety}, doi={10.1007/978-3-319-61949-1_3} }- Javier Meseguer
Carlos Calafate
Juan Cano
Year: 2017
DrivingStyles: Assessing the Correlation of Driving Behavior with Heart Rate Changes
GOODTECHS
Springer
DOI: 10.1007/978-3-319-61949-1_3
Abstract
Driving safety is of utmost importance in our society. The number of fatalities due to car accidents is still very high, and reducing this trend requires as much attention as possible. There are situations where the emotional conditions of drivers vary due to either reasons beyond their control, or because they decide to change their driving style. Hence, we consider that such frequent situations deserve more scrutiny. In this paper we designed an Android application able to monitor in real-time both physiological data from the driver and diagnostic data from the vehicle to study their correlation. More specifically, we study the connection between driving aggressiveness and heart rate. The vehicle diagnostic data is obtained using an OBD-II connector. Among the various non-invasive biomedical sensors available nowadays, in this work we focus on heart rate sensors, either packaged in belts or in smart watches.