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. 2018 Jul 1;26(Suppl 1):509–519. doi: 10.3233/THC-174836

Table 7.

Accuracy comparison of different studies

Reference DEAP dataset and Classifier No. Accuracy Accuracy
feature channels (Valence) (%) (Arousal) (%)
[25] (2014) Raw data bandpower feature of 4 frequency bands SVM (32-fold cross-validation of 32 subjects) 10 64.90 64.90
[22] (2016) Raw data and individula normalization Entropy and Energy of gamma frequency band KNN (10-fold cross-validation of all samples) 10 86.75 84.05
[11] (2016) Preprocessed data statistical features, band power, Hjorth parameters and fractal dimension SVM (8-fold cross-validation of all samples) 14 73.14 73.06
[10] (2016) Preprocessed data power ratio, power spectral density, entropy, Hjorth parameters and correlation ANN (leave-one-out cross- validation of each subject) 18 72.87 75.00
[8] (2016) Preprocessed data PSD and DE SVM (90% for training and 10% for testing of all samples) 32 85.20 80.50
[18] (2016) Raw data Narrow-band PSD DBN (5-fold cross-validation of each subject) 32 88.59 88.33
Our research (2018) Preprocessed data and channel normalization Entropy and Energy of gamma frequency band KNN (10-fold cross-validation all samples) 10 89.54 ± 0.81 89.81 ± 0.46
14 92.28 ± 0.62 92.24 ± 0.33
18 93.72 ± 0.48 93.69 ± 0.30
32 95.70 ± 0.62 95.69 ± 0.21