Statements (21)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
music emotion dataset
|
| gptkbp:application |
gptkb:machine_learning
emotion recognition affective computing |
| gptkbp:contains |
EEG data
peripheral physiological signals self-assessment ratings |
| gptkbp:createdBy |
gptkb:Queen_Mary_University_of_London
gptkb:University_of_Geneva gptkb:Twente_University |
| gptkbp:format |
.csv
.mat |
| gptkbp:fullName |
gptkb:Dataset_for_Emotion_Analysis_using_Physiological_signals
|
| https://www.w3.org/2000/01/rdf-schema#label |
DEAP
|
| gptkbp:license |
free for research use
|
| gptkbp:numberOfVideos |
40
|
| gptkbp:participants |
32
|
| gptkbp:releaseYear |
2012
|
| gptkbp:website |
http://www.eecs.qmul.ac.uk/mmv/datasets/deap/
|
| gptkbp:bfsParent |
gptkb:Genetic_Algorithms
|
| gptkbp:bfsLayer |
6
|