Emotional State Estimation using Sensor Fusion of EEG and EDA

Mine Yasemin; Mehmet Ali Sarikaya; Gokhan Ince

doi:10.1109/EMBC.2019.8856895

Emotional State Estimation using Sensor Fusion of EEG and EDA

Mine Yasemin
, Mehmet Ali Sarikaya
, Gokhan Ince

Bilgisayar Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

14 Atıf (Scopus)

Özet

Emotions potentially have a significant impact on human actions and recognizing affective states is an effective way of implementing Brain-Computer Interface (BCI) systems which process brain signals to allow direct communication and interaction with the environment. In this paper, a real-time emotion recognition model was developed on the basis of physiological signals. A sensor fusion method is developed to detect human emotion by using data acquired from ElectroEncephaloGraphy (EEG) and ElectroDermal Activity (EDA) sensors. The proposed physiology-based emotion recognition system using a neural network was implemented and tested on human subjects, and a classification accuracy of 94% on three different emotions was achieved.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	5609-5612
Sayfa sayısı	4
ISBN (Elektronik)	9781538613115
DOI'lar	https://doi.org/10.1109/EMBC.2019.8856895
Yayın durumu	Yayınlandı - Tem 2019
Etkinlik	41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 - Berlin, Germany Süre: 23 Tem 2019 → 27 Tem 2019

Yayın serisi

Adı	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Basılı)	1557-170X

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019
Ülke/Bölge	Germany
Şehir	Berlin
Periyot	23/07/19 → 27/07/19

Bibliyografik not

Publisher Copyright:
© 2019 IEEE.

Belgeye Erişim

10.1109/EMBC.2019.8856895

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Yasemin, M., Sarikaya, M. A., & Ince, G. (2019). Emotional State Estimation using Sensor Fusion of EEG and EDA. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 (pp. 5609-5612). Makale 8856895 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2019.8856895

Yasemin, Mine ; Sarikaya, Mehmet Ali ; Ince, Gokhan. / Emotional State Estimation using Sensor Fusion of EEG and EDA. 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 5609-5612 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

@inproceedings{b941a22a6ab5434d899d4e42053d206e,

title = "Emotional State Estimation using Sensor Fusion of EEG and EDA",

abstract = "Emotions potentially have a significant impact on human actions and recognizing affective states is an effective way of implementing Brain-Computer Interface (BCI) systems which process brain signals to allow direct communication and interaction with the environment. In this paper, a real-time emotion recognition model was developed on the basis of physiological signals. A sensor fusion method is developed to detect human emotion by using data acquired from ElectroEncephaloGraphy (EEG) and ElectroDermal Activity (EDA) sensors. The proposed physiology-based emotion recognition system using a neural network was implemented and tested on human subjects, and a classification accuracy of 94\% on three different emotions was achieved.",

author = "Mine Yasemin and Sarikaya, \{Mehmet Ali\} and Gokhan Ince",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 ; Conference date: 23-07-2019 Through 27-07-2019",

year = "2019",

month = jul,

doi = "10.1109/EMBC.2019.8856895",

language = "English",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "5609--5612",

booktitle = "2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019",

address = "United States",

}

Yasemin, M, Sarikaya, MA & Ince, G 2019, Emotional State Estimation using Sensor Fusion of EEG and EDA. in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019., 8856895, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Institute of Electrical and Electronics Engineers Inc., pp. 5609-5612, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, Berlin, Germany, 23/07/19. https://doi.org/10.1109/EMBC.2019.8856895

Emotional State Estimation using Sensor Fusion of EEG and EDA. / Yasemin, Mine; Sarikaya, Mehmet Ali; Ince, Gokhan.
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 5609-5612 8856895 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Emotional State Estimation using Sensor Fusion of EEG and EDA

AU - Yasemin, Mine

AU - Sarikaya, Mehmet Ali

AU - Ince, Gokhan

PY - 2019/7

Y1 - 2019/7

N2 - Emotions potentially have a significant impact on human actions and recognizing affective states is an effective way of implementing Brain-Computer Interface (BCI) systems which process brain signals to allow direct communication and interaction with the environment. In this paper, a real-time emotion recognition model was developed on the basis of physiological signals. A sensor fusion method is developed to detect human emotion by using data acquired from ElectroEncephaloGraphy (EEG) and ElectroDermal Activity (EDA) sensors. The proposed physiology-based emotion recognition system using a neural network was implemented and tested on human subjects, and a classification accuracy of 94% on three different emotions was achieved.

AB - Emotions potentially have a significant impact on human actions and recognizing affective states is an effective way of implementing Brain-Computer Interface (BCI) systems which process brain signals to allow direct communication and interaction with the environment. In this paper, a real-time emotion recognition model was developed on the basis of physiological signals. A sensor fusion method is developed to detect human emotion by using data acquired from ElectroEncephaloGraphy (EEG) and ElectroDermal Activity (EDA) sensors. The proposed physiology-based emotion recognition system using a neural network was implemented and tested on human subjects, and a classification accuracy of 94% on three different emotions was achieved.

UR - https://www.scopus.com/pages/publications/85077851980

U2 - 10.1109/EMBC.2019.8856895

DO - 10.1109/EMBC.2019.8856895

M3 - Conference contribution

C2 - 31947127

AN - SCOPUS:85077851980

T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

SP - 5609

EP - 5612

BT - 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019

Y2 - 23 July 2019 through 27 July 2019

ER -

Yasemin M, Sarikaya MA, Ince G. Emotional State Estimation using Sensor Fusion of EEG and EDA. In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 5609-5612. 8856895. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2019.8856895

Emotional State Estimation using Sensor Fusion of EEG and EDA

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Yayın serisi

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Bibliyografik not

Belgeye Erişim

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