Emotion-Antecedent Appraisal Checks: EEG and EMG datasets for Goal Conduciveness, Control and Power

Coutinho, Eduardo, Gentsh, K, Grandjean, D and Scherer, Klaus R (2019) Emotion-Antecedent Appraisal Checks: EEG and EMG datasets for Goal Conduciveness, Control and Power. [Data Collection]

External DOI: 10.5281/zenodo.222615

Description

The Electroencaphalography (EEG) and facial Electromyography (EMG) signals included in this dataset was collected in the context of a previous study (Gentsch, Grandjean & Scherer, 2013). This dataset contains the exact data used in Coutinho, Gentsch, van Peer, Scherer & Schuller (to appear). The only difference in relation to the original data is that the some of the pre-processing steps (i.e., the processing of the the raw data) were changed. The full details of the data collected and pre-processing are included in a file distributed with the data (dataset-details.pdf).

Keywords: Appraisal, Classification, Machine Learning, Novelty, EEG,EMG
Divisions: Faculty of Humanities and Social Sciences > School of the Arts
Depositing User: Judith Carr
Date Deposited: 01 Apr 2019 11:28
Last Modified: 01 Apr 2019 11:29
DOI: 10.17638/datacat.liverpool.ac.uk/696
DOI: 10.5281/zenodo.222615
URI: https://datacat.liverpool.ac.uk/id/eprint/696

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