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Biocybernetics and Biomedical Engineering

Tytuł artykułu

Development of a real time emotion classifier based on evoked EEG

Autorzy Singh, M. I.  Singh, M. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
EN Our quality of life is more dependent on our emotions than on physical comforts alone. This is motivation enough to classify emotions using Electroencephalogram (EEG) signals. This paper describes the acquisition of evoked EEG signals for classification of emotions into four quadrants. The EEG signals have been collected from 24 subjects on three electrodes (Fz, Cz and Pz) along the central line. The absolute and differential attributes of single trial ERPs have been used to classify emotions. The single trial ERP attributes collected from each electrode have been used for developing an emotion classifier for each subject. The accuracy of classification of emotions into four classes lies between 62.5–83.3% for single trials. The subject independent analysis has been done using absolute and differential attributes of single trial signals of ERP. An overall accuracy of 55% has been obtained on Fz electrode for multi subject trials. The methodology used to classify emotions by fixing the attributes for classification of emotions brings us a step closer to developing a real time emotion recognition system with benefits including applications like Brain-Computer Interface for locked-in subjects, emotion classification for highly sensitive jobs like fighter pilots etc.
Słowa kluczowe
PL elektroencefalogram   interfejs mózg-komputer   klasyfikator emocji   ERP  
EN electroencephalogram   brain-computer interface   emotion classifier   differential ERP  
Wydawca Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences
Czasopismo Biocybernetics and Biomedical Engineering
Rocznik 2017
Tom Vol. 37, no. 3
Strony 498--509
Opis fizyczny Bibliogr. 73 poz., rys., tab., wykr.
autor Singh, M. I.
  • Department of Electrical and Instrumentation Engineering, Thapar University, Patiala 147004, India,
autor Singh, M.
  • Department of Electrical and Instrumentation Engineering, Thapar University, Patiala 147004, India,
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PL Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Kolekcja BazTech
Identyfikator YADDA bwmeta1.element.baztech-0d3889e3-2ca0-47be-976f-a326a1d9bb60
DOI 10.1016/j.bbe.2017.05.004