Table 3 HAR of IDLTHAR-PDST technique under 80:70 of TRPH and 20:30 of TSPH.

From: Intelligent deep learning for human activity recognition in individuals with disabilities using sensor based IoT and edge cloud continuum

Classes

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

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

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

\({\varvec{F}1}_{\varvec{m}\varvec{e}\varvec{a}\varvec{s}\varvec{u}\varvec{r}\varvec{e}}\)

\(\varvec{A}\varvec{U}{\varvec{C}}_{\varvec{s}\varvec{c}\varvec{o}\varvec{r}\varvec{e}}\)

TRPH (80%)

Walk

98.56

95.57

95.81

95.69

97.46

Jog

98.62

96.14

95.54

95.84

97.39

Up

98.96

97.84

95.90

96.86

97.74

Down

98.70

95.72

96.60

96.16

97.86

Sit

99.06

96.52

97.86

97.18

98.58

Std

98.57

95.68

95.74

95.71

97.44

Average

98.75

96.24

96.24

96.24

97.74

TSPH (20%)

Walk

98.67

95.57

96.52

96.04

97.81

Jog

98.58

96.75

94.85

95.79

97.10

Up

98.83

96.66

96.16

96.41

97.76

Down

98.33

95.23

94.23

94.72

96.67

Sit

99.12

97.34

97.58

97.46

98.51

Std

98.46

94.44

96.54

95.48

97.70

Average

98.67

96.00

95.98

95.98

97.59

TRPH (70%)

Walk

96.02

86.87

89.61

88.21

93.45

Jog

96.65

92.65

87.27

89.88

92.93

Up

96.30

92.10

85.41

88.63

91.96

Down

97.40

90.18

94.49

92.29

96.23

Sit

97.56

90.81

94.91

92.81

96.50

Std

96.11

87.80

88.63

88.22

93.10

Average

96.67

90.07

90.05

90.01

94.03

TSPH (30%)

Walk

96.47

89.31

89.75

89.53

93.79

Jog

96.47

91.40

85.79

88.51

92.14

Up

95.78

88.93

84.34

86.57

91.16

Down

97.72

90.63

96.77

93.60

97.35

Sit

97.78

91.73

95.37

93.52

96.82

Std

96.17

89.11

88.53

88.82

93.14

Average

96.73

90.19

90.09

90.09

94.07