Table 6 Result analysis of the ablation study of APOFTLM-EGR methodology.

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

Framework

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

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

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

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

APOFTLM-EGR

99.46

98.72

98.52

98.58

SSAE

98.85

97.92

97.76

98.01

APO

98.08

97.14

97.22

97.36

ResNet-50

97.31

96.58

96.48

96.74

InceptionV3

96.68

95.89

95.91

96.09

VGG16

96.16

95.29

95.12

95.43

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