A REVIEW ON TECHNIQUES FOR EMOTIONS CLASSIFICATION USING EEG SIGNALS

Nishtha Chheda; Pratyaksha Jha; Piyush Bhardwaj; Karan Rabade; Suvarna Gosavi

A REVIEW ON TECHNIQUES FOR EMOTIONS CLASSIFICATION USING EEG SIGNALS

March 2019

Vol-5, Issue-2

Paper ID: 9715

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Engineering, Artificial Intelligence

Keywords

Machine Learning Emotions Electroencephalogram Brain-computer interfaces Artificial Intelligence Support vector machine (SVM) K-nearest (KNN) Logistic regression (LR) and decision tree (DT).

Abstract

Emotion detection has been a topic of interest for various areas like health care, social security, decision making etc. There are several important definitions and theories of human emotions. There have been a number of advancements in human-computer interaction. The papers were reviewed based on Electroencephalogram (EEG) signals as a marker for emotional states as it has become popular in many brain-computer interfaces (BCI) applications and studies. Several successful attempts have been made to classify these emotions using machine learning. In this paper, some of the popular machine learning algorithms for classification of these emotions are covered. The algorithms that we came across the most were Support vector machine (SVM), K-nearest (KNN), Logistic regression (LR) and decision tree (DT).

License

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Author Information

#	Name	Institute / Affiliation
1	Nishtha Chheda	Sri Ramdeobaba College of Engineering and Management
2	Pratyaksha Jha	Sri Ramdeobaba College of Engineering and Management
3	Piyush Bhardwaj	Sri Ramdeobaba College of Engineering and Management
4	Karan Rabade	Sri Ramdeobaba College of Engineering and Management
5	Suvarna Gosavi	Sri Ramdeobaba College of Engineering and Management

How to Cite

Use the following formats to cite this article in your research.

APA Style

Chheda, Nishtha, Jha, Pratyaksha, Bhardwaj, Piyush, Rabade, Karan, & Gosavi, Suvarna (2019). A REVIEW ON TECHNIQUES FOR EMOTIONS CLASSIFICATION USING EEG SIGNALS. International Journal of Advance Research and Innovative Ideas In Education, 5(2), 1385-1390.

MLA Style

Chheda, Nishtha, et al. "A REVIEW ON TECHNIQUES FOR EMOTIONS CLASSIFICATION USING EEG SIGNALS." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 2, 2019, pp. 1385-1390.

IEEE Style

Nishtha Chheda, Pratyaksha Jha, Piyush Bhardwaj, Karan Rabade, and Suvarna Gosavi, "A REVIEW ON TECHNIQUES FOR EMOTIONS CLASSIFICATION USING EEG SIGNALS," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 2, pp. 1385-1390, 2019.

Vancouver Style

Chheda Nishtha, Jha Pratyaksha, Bhardwaj Piyush, Rabade Karan, Gosavi Suvarna. A REVIEW ON TECHNIQUES FOR EMOTIONS CLASSIFICATION USING EEG SIGNALS. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(2):1385-1390.

Harvard Style

Chheda, Nishtha, Jha, Pratyaksha, Bhardwaj, Piyush, Rabade, Karan, & Gosavi, Suvarna (2019) 'A REVIEW ON TECHNIQUES FOR EMOTIONS CLASSIFICATION USING EEG SIGNALS', International Journal of Advance Research and Innovative Ideas In Education, 5(2), pp. 1385-1390.

Chicago Style

Chheda, Nishtha, et al. "A REVIEW ON TECHNIQUES FOR EMOTIONS CLASSIFICATION USING EEG SIGNALS." International Journal of Advance Research and Innovative Ideas In Education 5, no. 2 (2019): 1385-1390.

Turabian Style

Chheda, Nishtha, et al. "A REVIEW ON TECHNIQUES FOR EMOTIONS CLASSIFICATION USING EEG SIGNALS." International Journal of Advance Research and Innovative Ideas In Education 5, no. 2 (2019): 1385-1390.