Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Factors Affecting the Sense of Scale in Immersive, Realistic Virtual Reality Space Read chapter Read first chapter

2021 | OriginalPaper | Chapter

EEG-Based Emotion Recognition Using Convolutional Neural Networks

Authors : Maria Mamica, Paulina Kapłon, Paweł Jemioło

Published in: Computational Science – ICCS 2021

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In this day and age, Electroencephalography-based methods for Automated Affect Recognition are becoming more and more popular. Owing to the vast amount of information gathered in EEG signals, such methods provide satisfying results in terms of Affective Computing. In this paper, we replicated and improved the CNN-based method proposed by Li et al. [11]. We tested our model using a Dataset for Emotion Analysis using EEG, Physiological and Video Signals (DEAP) [9]. Performed changes in the data preprocessing and in the model architecture led to an increase in accuracy – 74.37% for valence, 73.74% for arousal.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter ScatterPlotAnalyzer: Digitizing Images of Charts Using Tensor-Based Computational Model
next chapter Improving Deep Object Detection Backbone with Feature Layers
Literature
1.
Abo-Zahhad, M., Ahmed, S., Seha, S.N.: A new EEG acquisition protocol for biometric identification using eye blinking signals. Int. J. Intell. Syst. Appl. 07, 48–54 (05 2015)
2.
Alfeld, P.: A trivariate clough–tocher scheme for tetrahedral data. Comput. Aided Geomet. Des. 1(2), 169–181 (1984)CrossRef
3.
Bakker, M., Wicherts, J.: The (mis)reporting of statistical results in psychology. Behav. Res. Mthods 43, 666–678 (April 2011)
4.
BioSemi B.V.: Biosemi EEG ECG EMG BSPM NEURO amplifier electrodes
5.
Duffy, F.H., Iyer, V.G., Surwillo, W.W.: Clinical Electroencephalography and Topographic Brain Mapping: Technology and Practice. Springer (2012). 10.1007/978-1-4613-8826-5
6.
George, F.P., et al.: Recognition of emotional states using EEG signals based on time-frequency analysis and SVM classifier. Int. J. Electr. Comput. Eng. 9, 1012 (04, 2019)
7.
Imani, M., Montazer, G.A.: A survey of emotion recognition methods with emphasis on e-learning. J. Netw. Comput. Appl. (08, 2019)
8.
Jemioło, P., Giżycka, B., Nalepa, G.J.: Prototypes of arcade games enabling affective interaction. In: International Conference on Artificial Intelligence and Soft Computing, pp. 553–563. Springer (2019)
9.
Koelstra, S., et al.: Deap: a database for emotion analysis using physiological signals. IEEE Trans. Affect. Comput. 3, 18–31 (12, 2011)
10.
Kollias, D., et al.: Deep affect prediction in-the-wild: Aff-wild database and challenge. Int. J. Comput. Vis. 127, (2019). 10.1007/s11263-019-01158-4
11.
Li, C., Sun, X., Dong, Y., Ren, F.: Convolutional neural networks on EGG-based emotion recognition. In: Jin, H., Lin, X., Cheng, X., Shi, X., Xiao, N., Huang, Y. (eds.) Big Data, pp. 148–158. Springer Singapore, Singapore (2019)CrossRef
12.
Mikels, J., Fredrickson, B., Samanez-Larkin, G., Lindberg, C., Maglio, S., Reuter-Lorenz, P.: Emotional category data on images from the international affective picture system. Behav. Res. Methods 37, 626–630 (12, 2005)
13.
Nalepa, G.J., Kutt, K., Giżycka, B., Jemioło, P., Bobek, S.: Analysis and use of the emotional context with wearable devices for games and intelligent assistants. Sensors 19(11), 2509 (2019)CrossRef
14.
Nuijten, M., et al.: The prevalence of statistical reporting errors in psychology (1985–2013). Behav. Res. Methods 48,1205-1226 (10, 2015)
15.
Picard, R.W.: Affective Computing. MIT Press, Cambridge (2000)
16.
Russell, J.: A circumplex model of affect. J. Personal. Soc. Psychol. 39, 1161–1178 (12, 1980)
17.
SatheeshKumar, J., Bhuvaneswari, P.: Analysis of electroencephalography (EEG) signals and its categorization-a study. Proc. Eng. 38, 525–2536 (09, 2012)
18.
Yang, L., Liu, J.: EEG-based emotion recognition using temporal cnn. In: Data Driven Control and Learning Systems Conference. pp. 437–442 (2019)
19.
Yannakakis, G.N., Martínez, H.P., Jhala, A.: Towards affective camera control in games. User Model Uiser Adapt. Int. 20(4), 313–340 (2010)CrossRef
Metadata
Title
EEG-Based Emotion Recognition Using Convolutional Neural Networks
Authors
Maria Mamica
Paulina Kapłon
Paweł Jemioło
Copyright Year
2021
Book
Computational Science – ICCS 2021

Print ISBN: 978-3-030-77976-4

Electronic ISBN: 978-3-030-77977-1

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-77977-1_7

Premium Partner

    Image Credits