loading
Papers

Research.Publish.Connect.

Paper

Authors: G. Portnova 1 ; D. Stebakova 2 and G. Ivanitsky 2

Affiliations: 1 Institute of Higher Nervous Activity and Neurophysiology of RAS, 5A Butlerova St., Moscow 117485, Russia, Pushkin State Russian Language Institute and Russia ; 2 Institute of Higher Nervous Activity and Neurophysiology of RAS, 5A Butlerova St., Moscow 117485 and Russia

ISBN: 978-989-758-328-5

Keyword(s): EEG, Classification, Acoustic, Visual, Tactile and Olfactory Modalities, Pleasant and Unpleasant Stimuli.

Related Ontology Subjects/Areas/Topics: Affective Computing ; Biomedical Engineering ; Biomedical Instruments and Devices ; Brain-Computer Interfaces ; Devices ; Health Information Systems ; Human-Computer Interaction ; Physiological Computing Systems

Abstract: We perceive pleasant and unpleasant stimuli using different modality systems, such as visual and acoustic tactile and olfactory modalities. In our study we investigated the specificity of emotional perception in four modalities using EEG. 20 healthy participants were instructed to assess the stimuli using emotional scales. We used power spectrum density, alpha-peak frequency, wavelet analysis and method of "emotional spaces" for EEG data and DNN classifier for modality specific and non-specific classification of pleasant and unpleasant stimuli. We found, that difference of EEG power spectrum density and alpha-peak frequency between states of pleasant and unpleasant stimulation varied from one modality to another. Meanwhile, the above-stated differences were more similar between tactile and olfactory modalities and acoustic and visual modalities. the method of "emotional spaces" and DNN classification showed general, modality nonspecific features of pleasantness evaluation.

PDF ImageFull Text

Download
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 3.233.226.151

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:
Portnova, G.; Stebakova, D. and Ivanitsky, G. (2018). The EEG-based Emotion Classification in Tactile, Olfactory, Acoustic and Visual Modalities.In Proceedings of the 2nd International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA, ISBN 978-989-758-328-5, pages 93-99. DOI: 10.5220/0006892100930099

@conference{chira18,
author={G. Portnova. and D. Stebakova. and G. Ivanitsky.},
title={The EEG-based Emotion Classification in Tactile, Olfactory, Acoustic and Visual Modalities},
booktitle={Proceedings of the 2nd International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA,},
year={2018},
pages={93-99},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006892100930099},
isbn={978-989-758-328-5},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Computer-Human Interaction Research and Applications - Volume 1: CHIRA,
TI - The EEG-based Emotion Classification in Tactile, Olfactory, Acoustic and Visual Modalities
SN - 978-989-758-328-5
AU - Portnova, G.
AU - Stebakova, D.
AU - Ivanitsky, G.
PY - 2018
SP - 93
EP - 99
DO - 10.5220/0006892100930099

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.