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Authors: B. Meza-García and N. Rodríguez-Ibáñez

Affiliation: Nextium by IDNEO Technologies S.A.U, Mollet del Vallès, Barcelona, Spain

Keyword(s): Emotional State, Facial Analysis, Emotions, Galvanic Skin Response (GSR), Photo Plethysmography (PPG), Driver Monitoring System (DMS).

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.

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Paper citation in several formats:
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 - SUaaVE; ISBN 978-989-758-538-8; ISSN 2184-3244, SciTePress, pages 258-265. DOI: 10.5220/0010741100003060

@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 - SUaaVE},
year={2021},
pages={258-265},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010741100003060},
isbn={978-989-758-538-8},
issn={2184-3244},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Computer-Human Interaction Research and Applications - SUaaVE
TI - Driver’s Emotions Detection with Automotive Systems in Connected and Autonomous Vehicles (CAVs)
SN - 978-989-758-538-8
IS - 2184-3244
AU - Meza-García, B.
AU - Rodríguez-Ibáñez, N.
PY - 2021
SP - 258
EP - 265
DO - 10.5220/0010741100003060
PB - SciTePress

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