November 17, 2022 Dataset Restricted Access

Garg, Nikhil; Garg, Rohit; Anand, Apoorv; Baths, Veeky

MARC21 XML Export

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    <subfield code="a">Please cite as:
N. Garg, R. Garg, A. Anand, V. Baths, "Decoding the Neural Signatures of Valence and Arousal From Portable EEG Headset," Frontiers in Human Neuroscience, Nov. 2022. Doi: 10.3389/fnhum.2022.1051463</subfield>
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    <subfield code="p">Frontiers in Human Neuroscience</subfield>
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    <subfield code="a">&lt;p&gt;Emotion classification using electroencephalography (EEG) data and machine learning techniques have been on the rise in the recent past. However, past studies use data from medical-grade EEG setups with long set-up times and environment constraints. The images from the OASIS image dataset were used to elicit valence and arousal emotions, and the EEG data was recorded using the Emotiv Epoc X mobile EEG headset. We propose a novel feature ranking technique and incremental learning approach to analyze performance dependence on the number of participants. The analysis is carried out on publicly available datasets: DEAP and DREAMER for benchmarking. Leave-one-subject-out cross-validation was carried out to identify subject bias in emotion elicitation patterns. The collected dataset and pipeline are made open source.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;Code: &lt;a href="https://github.com/rohitgarg025/Decoding_EEG"&gt;https://github.com/rohitgarg025/Decoding_EEG&lt;/a&gt;&lt;/p&gt;</subfield>
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    <subfield code="u">Birla Institute of Technology and Science, India</subfield>
    <subfield code="a">Garg, Rohit</subfield>
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    <subfield code="u">Birla Institute of Technology and Science, India</subfield>
    <subfield code="a">Anand, Apoorv</subfield>
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    <subfield code="u">Birla Institute of Technology and Science, India</subfield>
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    <subfield code="a">Garg, Nikhil</subfield>
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    <subfield code="a">Electroencephalography (EEG)</subfield>
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    <subfield code="a">Brain Computer Interface (BCI)</subfield>
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    <subfield code="a">10.3389/fnhum.2022.1051463</subfield>
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    <subfield code="a">OASIS EEG Dataset: Decoding the Neural Signatures of Valence and Arousal From Portable EEG Headset</subfield>
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