A Methodology for Driving Behavior Recognition in Simulated Scenarios Using Biosignals

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.

• Fecha de publicación: 2019
• Institución: Universidad Tecnológica de Bolívar
• Repositorio: Repositorio Institucional UTB
• Idioma: eng
• OAI Identifier: oai:repositorio.utb.edu.co:20.500.12585/9167
• Acceso en línea: https://hdl.handle.net/20.500.12585/9167
• Palabra clave: Acceleration patterns; Biosignals; Driving behavior; Feature extraction; Automobile drivers; Digital storage; Electrophysiology; Feature extraction; Traffic surveys; Acceleration pattern; Aggressive driving; Aggressive driving behaviors; Biosignals; Driving behavior; Driving performance; Galvanic skin response; Traffic fatalities; Behavioral research
• Rights: restrictedAccess
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/