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04-04-2019

IKKN Predictor: An EEG Signal Based Emotion Recognition for HCI

Authors: Sujata Bhimrao Wankhade, Dharmapal Dronacharya Doye

Published in: Wireless Personal Communications | Issue 2/2019

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Abstract

Emotion recognition is the process of identifying the human emotion through their facial expression. However, it is a challenging task to determine the emotions of mentally challenged people. Therefore the emotion classification and prediction is the main aim of the research developed in the past years with different techniques. The number of state-of-the-art literature is reviewed using these techniques for the prediction of emotions. This paper carried out three stages of the analysis such as pre-processing, feature extraction and selection then emotion recognition using IKNN. The performance of this algorithm is evaluated using five parameters in SEED platform of Matlab simulation tool. This method of classification gives better performance regarding accuracy, precision, recall and mean square error. Therefore based on the analysis, this paper summarises the deep study of different classification strategies with its performance.

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Title: IKKN Predictor: An EEG Signal Based Emotion Recognition for HCI
Authors: Sujata Bhimrao Wankhade
Dharmapal Dronacharya Doye
Publication date: 04-04-2019
Publisher: Springer US
Published in: Wireless Personal Communications / Issue 2/2019
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-019-06328-8

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