Name
Title | ||
|---|---|---|
Synchrosqueezing transform based feature extraction from EEG signals for emotional state prediction |
Abstract | ||
|---|---|---|
•In this paper, emotion estimation from multichannel EEG signals is investigated.•Multivariate Synchrosqueezing Transform (MSST) is applied for the detection of 4 emotional states in valance-arousal space.•SST and MSST are applied for the detection of 8 emotional states in valance-arousal-dominance space.•SVM, kNN, Decision Trees, and Ensemble Classifiers are used for the detection, and their performances are compared. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.bspc.2019.04.023 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Emotion recognition,Electroencephalography,Synchrosqueezing transform,Multivariate synchrosqueezing transform,VAD model | Pattern recognition,Support vector machine,Short-time Fourier transform,Fourier transform,Feature extraction,Artificial intelligence,Univariate,Instantaneous phase,Mathematics,Wavelet,Wavelet transform | Journal |
Volume | ISSN | Citations |
52 | 1746-8094 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pinar Ozel | 1 | 0 | 2.03 |
| aydin akan | 2 | 164 | 34.61 |
| Bülent Yilmaz | 3 | 4 | 2.48 |