Fizyolojik sinyaller kullanilarak duygu boyutlarinin deǧerlik aktivasyon düzleminde taninmasi

Neziha Akalin; Hatice Köse

doi:10.1109/SIU.2018.8404632

Fizyolojik sinyaller kullanilarak duygu boyutlarinin deǧerlik aktivasyon düzleminde taninmasi

Translated title of the contribution: Emotion recognition in valence-arousal scale by using physiological signals

Neziha Akalin, Hatice Köse

Department of Artificial Intelligence and Data Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

Physiological signals are generated autonomously by central nervous system therefore they cannot be controlled or masked. In the literature, physiological signals are commonly used for emotion recognition. In this study, emotional stimulation is induced using visual and audio stimuli. We used Microsoft Band 2 arm band and Mind Wave EEG sensor for recording the participants' signals during the experiment. We collected data from 20 participants and recognized their emotions on the valence-arousal scale. We tested and compared 3 different classifiers for recognition.

Translated title of the contribution	Emotion recognition in valence-arousal scale by using physiological signals
Original language	Turkish
Title of host publication	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781538615010
DOIs	https://doi.org/10.1109/SIU.2018.8404632
Publication status	Published - 5 Jul 2018
Event	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey Duration: 2 May 2018 → 5 May 2018

Publication series

Name	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

Conference

Conference	26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Country/Territory	Turkey
City	Izmir
Period	2/05/18 → 5/05/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Access to Document

10.1109/SIU.2018.8404632

Cite this

Akalin, N., & Köse, H. (2018). Fizyolojik sinyaller kullanilarak duygu boyutlarinin deǧerlik aktivasyon düzleminde taninmasi. In 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 (pp. 1-4). (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2018.8404632

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Akalin, N & Köse, H 2018, Fizyolojik sinyaller kullanilarak duygu boyutlarinin deǧerlik aktivasyon düzleminde taninmasi. in 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, Izmir, Turkey, 2/05/18. https://doi.org/10.1109/SIU.2018.8404632

Fizyolojik sinyaller kullanilarak duygu boyutlarinin deǧerlik aktivasyon düzleminde taninmasi. / Akalin, Neziha; Köse, Hatice.
26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4 (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Akalin, Neziha

AU - Köse, Hatice

PY - 2018/7/5

Y1 - 2018/7/5

N2 - Physiological signals are generated autonomously by central nervous system therefore they cannot be controlled or masked. In the literature, physiological signals are commonly used for emotion recognition. In this study, emotional stimulation is induced using visual and audio stimuli. We used Microsoft Band 2 arm band and Mind Wave EEG sensor for recording the participants' signals during the experiment. We collected data from 20 participants and recognized their emotions on the valence-arousal scale. We tested and compared 3 different classifiers for recognition.

AB - Physiological signals are generated autonomously by central nervous system therefore they cannot be controlled or masked. In the literature, physiological signals are commonly used for emotion recognition. In this study, emotional stimulation is induced using visual and audio stimuli. We used Microsoft Band 2 arm band and Mind Wave EEG sensor for recording the participants' signals during the experiment. We collected data from 20 participants and recognized their emotions on the valence-arousal scale. We tested and compared 3 different classifiers for recognition.

KW - EEG

KW - Emotion recognition

KW - Heart rate

KW - Signal processing

KW - Valence-arousal

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DO - 10.1109/SIU.2018.8404632

M3 - Konferans katkısı

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T3 - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

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BT - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

Y2 - 2 May 2018 through 5 May 2018

ER -

Akalin N, Köse H. Fizyolojik sinyaller kullanilarak duygu boyutlarinin deǧerlik aktivasyon düzleminde taninmasi. In 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-4. (26th IEEE Signal Processing and Communications Applications Conference, SIU 2018). doi: 10.1109/SIU.2018.8404632

Fizyolojik sinyaller kullanilarak duygu boyutlarinin deǧerlik aktivasyon düzleminde taninmasi

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