Table 6 Error analysis of the SCGERS-STGCN methodology with existing models.

From: Smart comprehend gesture based emotions recognition system for people with hearing disability utilizing spatio temporal graph convolutional network techniques

Methodology

\(Accu_{y}\)  

\(Prec_{n}\)  

\(Reca_{l}\)  

\(F1_{score}\)  

CNN-BiLSTM

11.53

12.49

14.23

9.03

1D-CNN

12.38

13.39

11.33

16.33

GPTDS

12.05

13.15

14.91

9.67

PC-TTA

13.14

13.99

12.11

16.86

Vis-Net

15.76

7.89

18.13

15.75

ViT-B/16/SAM

18.60

11.60

18.13

15.80

5-layer model

12.30

16.30

13.63

14.85

ResNet-50 algorithm

12.73

13.73

15.63

10.40

CNN classifier

13.70

14.70

12.90

17.42

GoogleNet method

16.44

8.44

18.73

16.52

Inception model

8.40

9.40

13.23

11.03

CNN-raspberry

5.03

8.03

18.98

18.73

SCGERS-STGCN

1.47

6.21

10.51

8.87