Table 2 Gesture detection result of APOFTLM-EGR approach with 70%TRASE and 30%TESSE.

From: An intelligent fusion-based transfer learning model with artificial protozoa optimiser for enhancing gesture recognition to aid visually impaired people

Classes

\({\varvec{A}}{\varvec{c}}{\varvec{c}}{{\varvec{u}}}_{{\varvec{y}}}\)

\({\varvec{P}}{\varvec{r}}{\varvec{e}}{{\varvec{c}}}_{{\varvec{n}}}\)

\({\varvec{R}}{\varvec{e}}{\varvec{c}}{{\varvec{a}}}_{{\varvec{l}}}\)

\({{\varvec{F}}}_{{\varvec{S}}{\varvec{c}}{\varvec{o}}{\varvec{r}}{\varvec{e}}}\)

\({{\varvec{G}}}_{{\varvec{M}}{\varvec{e}}{\varvec{a}}{\varvec{n}}}\)

Kappa

TRASE (70%)

 Bye

100.00

100.00

100.00

100.00

100.00

100.00

 Hello

100.00

100.00

100.00

100.00

100.00

100.00

 No

99.32

97.44

100.00

98.70

98.71

98.77

 Thanks

98.64

100.00

92.59

96.15

96.23

96.29

 Work

99.32

96.15

100.00

98.04

98.06

98.12

 Average

99.46

98.72

98.52

98.58

98.60

98.64

TESSE (30%)

 Bye

100.00

100.00

100.00

100.00

100.00

100.00

 Hello

98.41

87.50

100.00

93.33

93.54

93.60

 No

100.00

100.00

100.00

100.00

100.00

100.00

 Thanks

100.00

100.00

100.00

100.00

100.00

100.00

 Work

98.41

100.00

93.33

96.55

96.61

96.69

 Average

99.37

97.50

98.67

97.98

98.03

98.06