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Two Stepped Majority Voting for Efficient EEG based Emotion Classification

2020-09-10

Abstract excerpt

<title>Abstract</title> <p>In this paper, a novel approach that is based on two-stepped majority voting is proposed for efficient EEG based emotion classification. Emotion recognition is important for human-machine interactions. Facial-features and body-gestures based approaches have been generally proposed for emotion recognition. Recently, EEG based approaches become more popular in emotion recognition. In the...

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Literature Corpus work
f0f7d262-1b17-5fe8-a67c-44fd0f448c0b
DOI
10.21203/rs.3.rs-37469/v2
Open publication

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Two Stepped Majority Voting for Efficient EEG based Emotion ClassificationDOI 10.21203/rs.3.rs-37469/v2
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