Research Article

EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation

Table 2

Valence and arousal state classification accuracy with leave-one-subject-out cross validation.

Valence accuracy (%)Arousal accuracy (%)
DLNSVMDLNSVM
N100N50PCACSAF230PCACSAN100N50PCACSAF230PCACSA

S0146.1444.6450.3156.5238.6340.2942.9250.2148.9838.5742.8541.6742.5823.83
S0247.6444.7249.7348.4841.5044.8847.0435.8537.5634.6536.4332.6223.2517.46
S0352.4551.4358.1059.8147.3851.7540.1742.8440.6142.8654.4331.6322.0812.38
S0439.2036.4337.5240.9824.2122.1229.9239.4536.9852.2046.2216.5022.5834.04
S0554.3256.7655.5660.9744.5833.3349.4248.6247.3158.7853.1041.7539.1347.00
S0649.4847.4354.8171.0644.5050.2160.0849.2449.7745.6562.1843.4629.7120.29
S0751.8752.5157.9473.4847.0050.5842.8846.2544.2753.1556.0141.1337.7939.83
S0849.1948.8154.2748.4439.5847.0837.5454.4452.1957.2460.1446.9245.2552.71
S0955.8658.8163.7338.4843.0036.9627.5049.8149.0662.1564.1847.8851.2554.46
S1043.5440.4345.2740.9839.4732.8330.0041.2139.5252.4064.1634.9634.3825.88
S1143.8740.3144.9048.1134.0437.4637.3835.6834.4835.4535.8523.5827.5425.08
S1244.3241.5643.4048.0637.7939.2142.1250.7449.5644.4550.8151.2546.9636.88
S1354.8653.3144.1047.3649.3832.9230.1348.6548.3138.0741.2635.0827.5428.17
S1433.8135.6443.6944.0630.0035.5844.6751.9649.2761.9962.1444.6751.6342.13
S1558.7457.4542.9046.6052.1340.6340.0048.5547.9064.1565.0136.2929.4623.25
S1647.9545.7635.6938.7736.9229.8325.0041.2940.6150.9849.6439.3339.6721.88
S1753.2049.3545.5647.8651.5044.5640.0056.5858.9861.6162.8950.7938.8333.54
S1855.2153.7256.6557.9840.9243.6342.5051.4354.7362.8266.4751.5439.5854.33
S1956.3853.5155.9062.2739.0445.3840.4247.1947.5249.7459.8146.6738.0042.67
S2048.6546.3162.8565.1151.2942.0440.0052.6356.7354.9555.2650.3834.7937.17
S2151.7848.1467.9870.2346.9246.7142.5045.9744.2737.1541.8540.7535.8325.58
S2242.9743.2240.4445.5637.4631.7137.7147.1145.6549.4052.6036.1343.7930.79
S2358.4355.0158.7361.7348.7548.5847.5028.4531.0231.1536.3524.8823.2522.50
S2449.7446.8145.2745.7336.5440.6335.0059.4561.1558.3262.7260.0446.4639.67
S2535.7236.2641.5645.0631.3326.0437.5040.7440.6537.4939.6833.3324.5425.13
S2643.1640.5145.8552.9036.3336.5828.2141.8839.2745.0748.1027.7023.5429.38
S2758.6560.1449.9452.6140.5856.1754.8845.8646.3142.0342.8144.9634.2937.13
S2848.8546.7649.3553.7738.1335.7946.8340.2239.5240.4545.3231.7132.3324.79
S2951.2548.0651.2354.5241.7945.0449.0035.4435.1537.2838.6027.3335.2119.46
S3056.4053.7652.8154.3640.4629.0034.6352.2149.2341.4954.6433.7932.0832.33
S3151.3448.1059.0261.6943.0442.4644.7141.7640.0255.2051.9734.6729.7936.13
S3249.6746.0663.1965.9041.7534.6340.0051.2849.3659.4961.3945.2543.3842.83

Mean49.5247.8750.8853.4241.1239.8340.2646.0345.5048.6452.0339.0235.2132.46
SD±6.34±6.57±8.18±9.64±6.39±7.94±7.87±6.84±7.17±9.85±9.74±9.59±8.56±10.90