A Methodology for Driving Behavior Recognition in Simulated Scenarios Using Biosignals
- Resource Type
- Authors
- Sonia H. Contreras-Ortiz; J.A. Dominguez-Jimenez; K. C. Campo-Landines
- Source
- Communications in Computer and Information Science ISBN: 9783030310189
WEA
6th Workshop on Engineering Applications, WEA 2019
- Subject
- Traffic surveys
Galvanic skin response
Digital storage
Aggressive driving
Computer science
Acceleration patterns
Driving behavior
Feature extraction
Traffic fatalities
Behavior recognition
Automobile drivers
Acceleration pattern
Driving safety
Electrophysiology
Acceleration
Driving performance
Behavioral research
Biosignals
Aggressive driving behaviors
Skin conductance
Simulation
Measure heart rate
- Language
The recognition of aggressive driving patterns could aid to improve driving safety and potentially reduce traffic fatalities on the roads. Driving behavior is strongly shaped by emotions and can be divided into two main categories: calmed (non-aggressive) and aggressive. In this paper, we present a methodology to recognize driving behavior using driving performance features and biosignals. We used biosensors to measure heart rate and galvanic skin response of fifteen volunteers while driving in a simulated scenario. They were asked to drive in two different situations to elicit calmed and aggressive driving behaviors. The purpose of this study was to determine if driving behavior can be assessed from biosignals and acceleration/braking events. From two-tailed student t-tests, the results suggest that it is possible to differentiate between aggressive and calmed driving behavior from biosignals and also from longitudinal vehicle’s data. © 2019, Springer Nature Switzerland AG.