Table 3 A comparison of the proposed scheme and related works applied to the SEED dataset and SEED-IV dataset.
From: Multi-branch convolutional neural network with cross-attention mechanism for emotion recognition
Authors | Year | Method | Feature | SEED(Acc/STD) | SEED-IV(Acc/STD) |
|---|---|---|---|---|---|
Zheng et al.34 | 2017 | GSCCA | Raw Data | 82.96/09.95 | 69.08/16.66 |
Xiang et al.35 | 2018 | SVM | \(\textrm{NDSF}^{1}\) | 83.30/09.72 | 56.61/20.05 |
Li et al.36 | 2018 | BiDANN | Raw Data | 83.28/09.60 | 70.29/12.63 |
Song et al.37 | 2018 | DGCNN | Differential entropy | 79.95/09.02 | 52.82/09.23 |
Song et al.38 | 2019 | A-LSTM | Differential entropy | 72.18/10.85 | 55.03/09.28 |
Zhong et al.39 | 2020 | RGNN | Raw Data | 85.30/06.72 | 73.84/08.02 |
Li et al.40 | 2020 | MS-STM | Differential entropy | 84.00/08.30 | 67.73/13.15 |
Li et al.41 | 2020 | Bi-HDM | Differential entropy | 85.40/07.53 | 69.03/08.66 |
Li et al.42 | 2021 | TANN | Differential entropy | 84.41/08.75 | 68.00/08.35 |
Song et al.43 | 2021 | GECNN | Differential entropy | 82.46/N/A | 61.58/N/A |
Li et al.44 | 2022 | GMSS | Raw Data | 86.52/06.22 | 73.48/07.41 |
Zhou et al.45 | 2022 | PR-PL | Differential entropy | 85.56/04.78 | 74.92/07.92 |
Proposed scheme | 2024 | MCNN-CA | TDF+DE+TFDF | 80.85/10.01 | 71.33/05.21 |
Proposed scheme | 2024 | MCNN-CA | TDF+PSD+TFDF | 79.03/13.21 | 69.04/12.01 |
Proposed scheme | 2024 | MCNN-CA | PSD+DE+TFDF | 85.85/06.01 | 73.50/06.06 |
