Driver’s Emotions Detection with Automotive Systems in Connected and Autonomous Vehicles (CAVs)

B. Meza-García, N. Rodríguez-Ibáñez

2021

Abstract

The aim of this work is to evaluate selected systems in order to assess the emotional state of drivers based on facial analysis and vital signs acquired from camera, galvanic skin response (GSR) and photo plethysmography (PPG). Facial analysis and biomedical variables like galvanic skin response, which is related to sympatho-vagal nervous system balance, provides direct information of the driver physiological state, instead of indirect indicia of the participant's behavior. Facial and GSR data used in this study were recorded by doing tests with subjects in different scenarios in order to evaluate selected commercial systems and their limitations in controlled and real driving conditions. Results demonstrate that the emotional state of the driver can be assessed by facial analysis in combination with GSR relative data.

Paper Citation

in Harvard Style

Meza-García B. and Rodríguez-Ibáñez N. (2021). Driver’s Emotions Detection with Automotive Systems in Connected and Autonomous Vehicles (CAVs). In Proceedings of the 5th International Conference on Computer-Human Interaction Research and Applications - Volume 1: SUaaVE, ISBN 978-989-758-538-8, pages 258-265. DOI: 10.5220/0010741100003060

in Bibtex Style

@conference{suaave21,
author={B. Meza-García and N. Rodríguez-Ibáñez},
title={Driver’s Emotions Detection with Automotive Systems in Connected and Autonomous Vehicles (CAVs)},
booktitle={Proceedings of the 5th International Conference on Computer-Human Interaction Research and Applications - Volume 1: SUaaVE,},
year={2021},
pages={258-265},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010741100003060},
isbn={978-989-758-538-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Computer-Human Interaction Research and Applications - Volume 1: SUaaVE,
TI - Driver’s Emotions Detection with Automotive Systems in Connected and Autonomous Vehicles (CAVs)
SN - 978-989-758-538-8
AU - Meza-García B.
AU - Rodríguez-Ibáñez N.
PY - 2021
SP - 258
EP - 265
DO - 10.5220/0010741100003060