loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Lachezar Bozhkov 1 and Petia Georgieva 2

Affiliations: 1 Technical University of Sofia, Bulgaria ; 2 University of Aveiro, Portugal

Keyword(s): Emotion Valence Recognition, Feature Selection, Event Related Potentials (ERPs).

Related Ontology Subjects/Areas/Topics: Biological Systems ; Complex Systems Modeling and Simulation ; Computer Simulation Techniques ; Decision Support Systems ; Formal Methods ; Neural Nets and Fuzzy Systems ; Simulation and Modeling ; Simulation Tools and Platforms

Abstract: This study aims at finding the relationship between EEG-based biosignals and human emotions. Event Related Potentials (ERPs) are registered from 21 channels of EEG, while subjects were viewing affective pictures. 12 temporal features (amplitudes and latencies) were offline computed and used as descriptors of positive and negative emotional states across multiple subjects (inter-subject setting). In this paper we compare two discriminative approaches : i) a classification model based on all features of one channel and ii) a classification model based on one features over all channels. The results show that the occipital channels (for the first classification model) and the latency features (for the second classification model) have better discriminative capacity achieving 80% and 75% classification accuracy, respectively, for test data.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 13.59.136.170

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Bozhkov, L. and Georgieva, P. (2014). Classification Models of Emotional Biosignals Evoked While Viewing Affective Pictures. In Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH; ISBN 978-989-758-038-3; ISSN 2184-2841, SciTePress, pages 601-606. DOI: 10.5220/0005104206010606

@conference{simultech14,
author={Lachezar Bozhkov. and Petia Georgieva.},
title={Classification Models of Emotional Biosignals Evoked While Viewing Affective Pictures},
booktitle={Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH},
year={2014},
pages={601-606},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005104206010606},
isbn={978-989-758-038-3},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - Classification Models of Emotional Biosignals Evoked While Viewing Affective Pictures
SN - 978-989-758-038-3
IS - 2184-2841
AU - Bozhkov, L.
AU - Georgieva, P.
PY - 2014
SP - 601
EP - 606
DO - 10.5220/0005104206010606
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic