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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 2/2019

04.04.2019

IKKN Predictor: An EEG Signal Based Emotion Recognition for HCI

verfasst von: Sujata Bhimrao Wankhade, Dharmapal Dronacharya Doye

Erschienen in: Wireless Personal Communications | Ausgabe 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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Metadaten
Titel
IKKN Predictor: An EEG Signal Based Emotion Recognition for HCI
verfasst von
Sujata Bhimrao Wankhade
Dharmapal Dronacharya Doye
Publikationsdatum
04.04.2019
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2019
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-019-06328-8

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