Tek Elektrotlu Cihaz ile EEG Sinyallerinden Duygu Tanima

Mehmet Ali Sarikaya; Gokhan Ince

doi:10.1109/SIU.2017.7960390

Tek Elektrotlu Cihaz ile EEG Sinyallerinden Duygu Tanima

Mehmet Ali Sarikaya^*
, Gokhan Ince

^*Bu çalışma için yazışmadan sorumlu yazar

Bilgisayar Mühendisliği Bölümü

Istanbul Technical University

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

17 Atıf (Scopus)

Özet

In recent years, researchers have concentrated on the development of ElectroEncephaloGraphy (EEG) based Brain-Computer Interfaces (BCI) to increase the quality of life using medical applications. BCIs can also be used for marketing, gaming, and entertainment to provide users with a more personalized experience. Both medical and non-medical applications require the ability to interpret the user's multimedia-induced perception and emotional experience. This paper presents a novel method to detect human emotion with a single-channel commercial BCI device. The proposed EEG-based emotion recognition system was tested on human test subjects using a deep learning neural network and an accuracy above 87% was achieved.

Tercüme edilen katkı başlığı	Emotion recognition from EEG signals through one electrode device
Orijinal dil	Türkçe
Ana bilgisayar yayını başlığı	2017 25th Signal Processing and Communications Applications Conference, SIU 2017
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781509064946
DOI'lar	https://doi.org/10.1109/SIU.2017.7960390
Yayın durumu	Yayınlandı - 27 Haz 2017
Etkinlik	25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Türkiye Süre: 15 May 2017 → 18 May 2017

Yayın serisi

Adı	2017 25th Signal Processing and Communications Applications Conference, SIU 2017

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

???event.eventtypes.event.conference???	25th Signal Processing and Communications Applications Conference, SIU 2017
Ülke/Bölge	Türkiye
Şehir	Antalya
Periyot	15/05/17 → 18/05/17

Bibliyografik not

Publisher Copyright:
© 2017 IEEE.

Keywords

Brain-Computer Interfaces
Deep Learning Neural Networks
EEG
Emotion Recognition

Belgeye Erişim

10.1109/SIU.2017.7960390

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Sarikaya, M. A., & Ince, G. (2017). Tek Elektrotlu Cihaz ile EEG Sinyallerinden Duygu Tanima. In 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 Makale 7960390 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2017.7960390

@inproceedings{9ba8a6fbee994b5d9d42c1930fae2c0b,

title = "Tek Elektrotlu Cihaz ile EEG Sinyallerinden Duygu Tanima",

abstract = "In recent years, researchers have concentrated on the development of ElectroEncephaloGraphy (EEG) based Brain-Computer Interfaces (BCI) to increase the quality of life using medical applications. BCIs can also be used for marketing, gaming, and entertainment to provide users with a more personalized experience. Both medical and non-medical applications require the ability to interpret the user's multimedia-induced perception and emotional experience. This paper presents a novel method to detect human emotion with a single-channel commercial BCI device. The proposed EEG-based emotion recognition system was tested on human test subjects using a deep learning neural network and an accuracy above 87\% was achieved.",

keywords = "Brain-Computer Interfaces, Deep Learning Neural Networks, EEG, Emotion Recognition",

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

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 25th Signal Processing and Communications Applications Conference, SIU 2017 ; Conference date: 15-05-2017 Through 18-05-2017",

year = "2017",

month = jun,

day = "27",

doi = "10.1109/SIU.2017.7960390",

language = "T{\"u}rk{\c c}e",

series = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",

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

booktitle = "2017 25th Signal Processing and Communications Applications Conference, SIU 2017",

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}

Sarikaya, MA & Ince, G 2017, Tek Elektrotlu Cihaz ile EEG Sinyallerinden Duygu Tanima. in 2017 25th Signal Processing and Communications Applications Conference, SIU 2017., 7960390, 2017 25th Signal Processing and Communications Applications Conference, SIU 2017, Institute of Electrical and Electronics Engineers Inc., 25th Signal Processing and Communications Applications Conference, SIU 2017, Antalya, Türkiye, 15/05/17. https://doi.org/10.1109/SIU.2017.7960390

Tek Elektrotlu Cihaz ile EEG Sinyallerinden Duygu Tanima. / Sarikaya, Mehmet Ali; Ince, Gokhan.
2017 25th Signal Processing and Communications Applications Conference, SIU 2017. Institute of Electrical and Electronics Engineers Inc., 2017. 7960390 (2017 25th Signal Processing and Communications Applications Conference, SIU 2017).

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

TY - GEN

T1 - Tek Elektrotlu Cihaz ile EEG Sinyallerinden Duygu Tanima

AU - Sarikaya, Mehmet Ali

AU - Ince, Gokhan

PY - 2017/6/27

Y1 - 2017/6/27

N2 - In recent years, researchers have concentrated on the development of ElectroEncephaloGraphy (EEG) based Brain-Computer Interfaces (BCI) to increase the quality of life using medical applications. BCIs can also be used for marketing, gaming, and entertainment to provide users with a more personalized experience. Both medical and non-medical applications require the ability to interpret the user's multimedia-induced perception and emotional experience. This paper presents a novel method to detect human emotion with a single-channel commercial BCI device. The proposed EEG-based emotion recognition system was tested on human test subjects using a deep learning neural network and an accuracy above 87% was achieved.

AB - In recent years, researchers have concentrated on the development of ElectroEncephaloGraphy (EEG) based Brain-Computer Interfaces (BCI) to increase the quality of life using medical applications. BCIs can also be used for marketing, gaming, and entertainment to provide users with a more personalized experience. Both medical and non-medical applications require the ability to interpret the user's multimedia-induced perception and emotional experience. This paper presents a novel method to detect human emotion with a single-channel commercial BCI device. The proposed EEG-based emotion recognition system was tested on human test subjects using a deep learning neural network and an accuracy above 87% was achieved.

KW - Brain-Computer Interfaces

KW - Deep Learning Neural Networks

KW - EEG

KW - Emotion Recognition

UR - https://www.scopus.com/pages/publications/85026302539

U2 - 10.1109/SIU.2017.7960390

DO - 10.1109/SIU.2017.7960390

M3 - Konferans katkısı

AN - SCOPUS:85026302539

T3 - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

BT - 2017 25th Signal Processing and Communications Applications Conference, SIU 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th Signal Processing and Communications Applications Conference, SIU 2017

Y2 - 15 May 2017 through 18 May 2017

ER -

Tek Elektrotlu Cihaz ile EEG Sinyallerinden Duygu Tanima

Özet

Yayın serisi

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

Bibliyografik not

Keywords

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap