Table 5 Different viewpoints comparison results in OU-MVLP.

From: A gait recognition architecture for early screening in the assessment of Parkinson’s patients

Model

OU-MVLP

 

\(00^{\circ }\)

\(30^{\circ }\)

\(60^{\circ }\)

\(90^{\circ }\)

\(180^{\circ }\)

\(210^{\circ }\)

\(240^{\circ }\)

\(270^{\circ }\)

Avg

GaitSet(2018)

85.00

86.70

83.60

88.50

86.10

83.40

86.60

83.80

85.50

GaitPart(2020)

87.90

87.00

84.80

88.20

88.80

86.00

86.40

84.80

86.70

GaitGraph(2022)

86.20

84.90

86.00

89.50

88.60

84.60

85.40

87.80

86.60

GaitBase(2023)

90.80

89.20

87.10

90.10

91.20

89.80

87.80

90.20

89.60

GaitGL(2024)

87.00

89.10

90.20

88.40

87.00

85.70

87.60

89.30

88.10

AttenGait(2024)

92.20

90.40

90.40

91.60

91.10

88.30

90.30

92.40

91.00

GRE-MFF-GaitBase

91.70

91.80

90.10

93.60

90.40

88.20

91.50

92.60

91.30

  1. The best results of each dataset are highlighted in bold, the second-best are hilighted underlined