| Summary of Literature Review | ||||
| Citation | Year | Feature extraction | Modelling technique | Performance in Percentage |
| Wei Liu et al. [17] | 2016 | PSD, DE | BDAE | Valence: 85.20 Arousal: 80.50 |
| Wei-Long Zheng et al. [18] | 2016 | DE | GELM | 69.67 |
| Xiang Li et al. [19] | 2016 | CWT | C-RNN | Valence: 72.06 Arousal: 74.12 |
| Samarth Tri pathi et al. [20] | 2017 | GD | CNN | Valence: 81.41 Arousal: 73.36 |
| Abeer Al-Naf jan et al. [21] | 2017 | PSD | DNN | Valence: 82 Arousal: 82 |
| Soheil Ray atdoost et al. [22] | 2018 | HOC, PSD, DE, HOS | RF | Valence: 60.86 Arousal: 58.08 |
| Guolu Cao et al. [23] | 2019 | PCA | CNN | Valance: 81.2 ± 3.0 Arousal: 84.3 ± 4.0 |
| Yucel Cimtay et al. [24] | 2020 | Raw Data | CNN | 91.5 |
| Yucel Cimtay et al. [25] | 2020 | Raw Data | CNN | DEAP-72.81 |
| Yulong Luo et al. [26] | 2020 | Variance | SNN | Valence: 78 Arousal: 74 |
| Zhongke Gao et al. [27] | 2020 | DE | CDCN | 92.58 |
| Rahul Sharmaa et al. [3] | 2020 | DWT | LSTM | 82.01 |
| Divya Acharya et al. [28] | 2020 | FFT | LSTM | 89.83 |