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ResearchFormerly WizWand

Hand Gesture Recognition on SHREC 14 Gestures 17

97.74AccuracyDSTSA-GCN
53.498464.984276.4787.9558Jul 20, 2019Jun 19, 2020May 20, 2021Apr 21, 2022Mar 22, 2023Feb 20, 2024Jan 21, 2025
Updated 8mo ago

Evaluation results

MethodLinks
DSTSA-GCNModality=Fusion2025.0197.74
STDA-GCNPublisher=Ele.20242025.0197.14
TD-GCNPublisher=TMM20232025.0197.02
DSTSA-GCNModality=Joint2025.0196.67
Two-stream NN2021.0396.31
CTR-GCNPublisher=ICCV20212025.0196.1
DSTSA-GCNModality=Joint Motion2025.0195.52
Shift-GCNPublisher=CVPR20202025.0195.5
STA-GCNPublisher=VC20202025.0195.4
ResGCNeXtPublisher=TCDS20242025.0195.36
HPEVPublisher=CVPR20202025.0194.9
DD-Net (filters=64)Parameters=1.82 M, Speed on GPU=2,200 FPS2019.0794.6
DD-Net2021.0394.6
DG-STA2019.0794.4
STA-Res-TCN2019.0793.6
STA-Res-TCNParameters=5-6 M, Speed on GPU=303 FPS2019.0793.6
Oursskeleton joints=7/222021.0393.57
DD-Net (filters=32)Parameters=0.50 M, Speed on GPU=3,100 FPS2019.0793.5
DD-Net (filters=64, w/o global fast motion)Parameters=1.76 M2019.0793.3
HG-GCNPublisher=JIVP20192025.0192.8
ST-GCNPartitioning=distance, Layers=3, Channels=1282019.0792.7
DD-Net (filters=64, w/o global slow motion)Parameters=1.76 M2019.0792.7
ST-GCNPublisher=AAAI20182025.0192.7
DD-Net (filters=16)Parameters=0.15 M, Speed on GPU=3,500 FPS2019.0791.8
Parallel CNNParameters=13.83 M2019.0791.3
MFA-NetSpeed on GPU=361 FPS2019.0791.3
Res-TCN2019.0791.1
Boulahia et al.2019.0790.5
CNN+LSTMParameters=8-9 M, Speed on GPU=238 FPS2019.0789.8
Caputo et al.2019.0789.5
DSTSA-GCNModality=Bone2025.0189.4
DSTSA-GCNModality=Bone Motion2025.0189.05
SoCJ+HoHD+HoWR2019.0788.2
Dynamic hand2019.0788.2
SoCJ+Direction+Rotation2019.0786.9
Ohn-Bar et al.2019.0783.9
Classify Sequence by Key Frames2019.0782.9
Key-frame CNNParameters=7.92 M2019.0782.9
Devanne et al.2019.0779.4
Oreifej et al.2019.0778.5
3 Cent2019.0777.9
DD-Net (filters=64, w/o global fast&slow motion)Parameters=1.70 M2019.0755.2