Table 3 Relation between evoked words with self-annotation score of valence and arousal, and with four quadrants of HVHA, HVLA, LVHA, LVLA.

From: Insights from EEG analysis of evoked memory recalls using deep learning for emotion charting

Word

Valence (\(\mu\))

Valence (\(\sigma\))

Arousal (\(\mu\))

Arousal (\(\sigma\))

HVHA

HVLA

LVHA

LVLA

None

Excited

2.8213

1.3409

2.942

1.3426

191

1

1

4

10

Cheerful

2.8357

1.4588

2.8454

1.3054

190

0

1

4

12

Bored

− 1.6763

1.7644

− 0.8019

2.191

22

14

50

109

12

Unhappy

− 2.3961

1.7003

− 0.942

2.4329

9

8

52

126

12

Disappointment

− 2.3382

1.8829

− 0.913

2.4834

10

8

59

118

12

Fearful

− 2.3623

1.6777

− 2.0628

2.6349

14

4

86

92

11

Alert

− 0.3671

2.3853

2.3092

1.6073

85

3

98

10

11

Aroused

1.7778

2.2008

2.0676

1.8787

147

9

24

13

14

Idle

− 1.0773

1.8018

− 0.4251

1.9738

50

12

39

85

21

Lively

2.5942

1.6219

2.8406

1.2766

183

0

7

3

14

Calm

2.3671

1.5361

1.1304

2.2027

150

37

5

4

11

Relaxed

2.6667

1.5201

1.5894

2.2856

161

30

5

4

7

Pleased

2.8841

1.5092

2.8019

1.4294

186

3

4

3

11

Still

− 1.2174

1.8424

− 0.7343

1.8518

36

20

36

98

17

Dulled

− 1.7536

1.6641

− 0.9034

1.941

18

8

41

125

15

Nervous

− 2.0676

1.7081

0.1787

2.611

19

6

91

81

10

Total

–

–

–

–

1471

163

599

879

200

  1. \(\mu\) represents mean and \(\sigma\) represents standard deviation of score.