November 17, 2022 Dataset Restricted Access

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

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{
  "DOI": "10.3389/fnhum.2022.1051463", 
  "container_title": "Frontiers in Human Neuroscience", 
  "title": "OASIS EEG Dataset: Decoding the Neural Signatures of Valence and Arousal From Portable EEG Headset", 
  "issued": {
    "date-parts": [
      [
        2022, 
        11, 
        17
      ]
    ]
  }, 
  "abstract": "<p>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.&nbsp;</p>\n\n<p>Code: <a href=\"https://github.com/rohitgarg025/Decoding_EEG\">https://github.com/rohitgarg025/Decoding_EEG</a></p>", 
  "author": [
    {
      "family": "Garg, Nikhil"
    }, 
    {
      "family": "Garg, Rohit"
    }, 
    {
      "family": "Anand, Apoorv"
    }, 
    {
      "family": "Baths, Veeky"
    }
  ], 
  "note": "Please cite as:\nN. 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", 
  "version": "1", 
  "type": "dataset", 
  "id": "7332684"
}