Table 12 Performance comparison of the proposed method with some of the state-of-the-art results
From: Two-stepped majority voting for efficient EEG-based emotion classification
Method | Accuracy (%) | |
|---|---|---|
HV vs LV | HA vs LA | |
Koelstra et al. [2] | 57.6 | 62.0 |
Alazrai et al. [3] | 85.8 | 86.6 |
Huang et al. [4] | 66.1 | 82.5 |
Chandra et al. [5] | 65.1 | 65.3 |
Rozgic et al. [6] | 76.9 | 69.1 |
Abeer et al. (2017) | 82.0 | 82.0 |
Zhang et al. [9] | 75.2 | 81.7 |
Atkinson et al. [10] | 73.1 | 73.0 |
Tripathi et al. [11] | 81.4 | 73.3 |
Zhuang et al. [13] | 69.1 | 71.9 |
Li et al. [14] | 80.7 | 83.7 |
Yin et al. [12] | 83.0 | 84.2 |
Proposed study | 86.3 | 85.0 |