Non-Linear EEG based emotional classification using k-nearest neighbor and weighted k-nearest neighbor with variation of features selection methods

Dessy Ana Laila Sari, Theresia Diah Kusumaningrum, Benyamin Kusumoputro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Emotion classification gaining more popular in research world, especially in healthcare. There are many methods can be used to classify emotional state of human and one of them is by using supervised machine learning such as kNN and W-kNN. DEAP's EEG dataset will be used as input signal because of its high dimension. In this research, EEG's non- linear features used to classify the emotional state. We compare recognition rate after variation in feature selection steps to choose which features best uses for this classification. For the emotion classification system we used variation of k parameter in kNN and W-kNN classifier. The results showed that the highest recognition rate was by using Chi-Square selection method with value of 60.15%, but by using those feature selection method did not really give significant difference. Based on that fact, we conclude that DEAP dataset need anoother reliable method to extract its feature and select those feature accurately.

Original languageEnglish
Title of host publicationProceedings of the 7th International Conference on Science and Technology
EditorsTomohiro Yokozeki, Gil Nonato C. Santos, Rohayu Che Omar, Widodo, Abraham Cardenas Tristan, Ratih Fitria Putri, I. Wayan Mustika
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735443150
DOIs
Publication statusPublished - 14 Feb 2023
Event7th International Conference on Science and Technology, ICST 2021 - Yogyakarta, Indonesia
Duration: 7 Sept 20218 Sept 2021

Publication series

NameAIP Conference Proceedings
Volume2654
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference7th International Conference on Science and Technology, ICST 2021
Country/TerritoryIndonesia
CityYogyakarta
Period7/09/218/09/21

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