Table 1 Results of models training and testing within each human state.

From: EEG temporal–spatial transformer for person identification

Method

EO

EC

PHY

IMA

FuzzEn + SVM34

84.14 ± 0.83

83.73 ± 0.71

77.93 ± 0.59

80.84 ± 0.18

Raw + CNN34

96.89 ± 0.77

67.43 ± 47.36

97.96 ± 1.55

97.42 ± 0.83

Graph + Mahalanobis distance15

99.07 ± 0.19

97.56 ± 0.24

99.74 ± 0.13

99.61 ± 0.11

PLV + GCNN34

99.97 ± 0.03

99.88 ± 0.03

99.99 ± 0.02

100.00 ± 0.00

Lite transformer38

83.77 ± 17.39

85.57 ± 22.24

99.76 ± 0.01

99.65 ± 0.08

EA-transformer39

98.45 ± 1.17

98.19 ± 3.14

99.93 ± 0.00

99.90 ± 0.01

Ours

100.00 ± 0.00

99.96 ± 0.06

99.97 ± 0.01

100.00 ± 0.00

  1. Results are accuracy in testing stage (average  ±  standard deviation)%.
  2. Significant values are in [bold].