Emotion classification system based on non-linear EEG signal using backpropagation neural network

Dessy Ana Laila Sari, Theresia Diah Kusumaningrum, Akhmad Faqih, Benyamin Kusumoputro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Emotion classification rapidly gains popularity in research world, especially in healthcare field. EEG signal used to classify human emotional state might provide wider range of information rather using other types of signal, yet this data need more complex processes because of its dimensions and noises. ANN is one of many techniques used to classify human emotion, by using DEAP's EEG dataset this research will provide higher recognition rate of 2-dimensional emotion classification, which is using EEG's non-linear features, including every frequency bands in EEG signal except delta rhythm which produced when subjects are sleeping. In this research PCA played a big role in computational optimization and provide higher number of recognition rates up to 60,15%. To achieve this recognition rate, the system is given an additional part, which is BPNN as data train's correction so that training rate will be on its maximum. Through this correlation, we will analyze the correlation of those additions for human emotional classification. And the result of this paper will give possibility of further research in human emotional classification using BPNN as correction factor of recognition rate.

Original languageEnglish
Title of host publication4th Biomedical Engineering''s Recent Progress in Biomaterials, Drugs Development, Health, and Medical Devices
Subtitle of host publicationProceedings of the International Symposium of Biomedical Engineering, ISBE 2019
EditorsKenny Lischer, Tomy Abuzairi, Siti Fauziyah Rahman, Misri Gozan
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735419445
DOIs
Publication statusPublished - 10 Dec 2019
Event4th International Symposium of Biomedical Engineering�s Recent Progress in Biomaterials, Drugs Development, Health, and Medical Devices, ISBE 2019 - Padang, West Sumatera, Indonesia
Duration: 22 Jul 201924 Jul 2019

Publication series

NameAIP Conference Proceedings
Volume2193
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference4th International Symposium of Biomedical Engineering�s Recent Progress in Biomaterials, Drugs Development, Health, and Medical Devices, ISBE 2019
CountryIndonesia
CityPadang, West Sumatera
Period22/07/1924/07/19

Keywords

  • BPNN
  • DEAP dataset
  • EEG
  • emotion classification
  • recognition rate

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