Attempted Prediction of Emotional Valence from EEG Using Multidimensional Directed Information
dc.contributor.advisor | Peixoto, Nathalia | |
dc.contributor.author | Clayton A Baker | |
dc.date.accessioned | 2022-05-16T16:09:00Z | |
dc.date.available | 2022-05-16T16:09:00Z | |
dc.date.issued | 2022-05 | |
dc.description.abstract | Quantitative measurement of a person’s emotional state can aid performance in a number of areas, such as human-machine interactions, and psychological research. Electroencephalogram (EEG) data has shown potential as a predictor of emotional valence based on asymmetric activation patterns between the left and right hemispheres of the prefrontal cortex. Multidimensional directed information (MDI) is a computational tool that allows the measurement of information content transferred between different signals in a connected system, and has previously seen applications in EEG-based affective measurement in order to detect the presence of an emotional response. This study aimed to use MDI with EEG data from published datasets in order to derive a directional bias metric as a predictor for emotional valence based on frontal hemisphere asymmetry. Two methods of MDI computation were attempted; significant differences were observed in results between the two, suggesting possible errors in implementation. Neither method yielded output correlating with valence. | |
dc.identifier.uri | https://hdl.handle.net/1920/12853 | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/us/ | |
dc.subject | Electroencephalography | |
dc.title | Attempted Prediction of Emotional Valence from EEG Using Multidimensional Directed Information | |
dc.type | Article |
Files
License bundle
1 - 1 of 1
No Thumbnail Available
- Name:
- license.txt
- Size:
- 2.52 KB
- Format:
- Item-specific license agreed upon to submission
- Description: