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Hand Gesture Recognition
Hand Gesture Recognition (HGR) is a subfield of computer vision that focuses on the classification of video or images containing dynamic or static gestures. In the static case, gestures are typically referred to as poses. HGR can also be achieved through point cloud or joint hand data. The technology aims to accurately capture and interpret hand movements, offering broad application value in areas such as human-computer interaction, virtual reality, and accessibility assistance.
DHG-14
DHG-28
FPPR-PCD
NVGesture
MTUT
EgoGesture
ResNeXt-101
SHREC 2017
PointLSTM
ChaLearn val
LSA16
VIVA Hand Gestures Dataset
MTUT
SHREC 2017 track on 3D Hand Gesture Recognition
RWTH-PHOENIX Handshapes dev set
DenseNet
Cambridge
Key Frames + Feature Fusion
Jester test
DRX3D
BUAA
Jester val
8-MFFs-3f1c (5 crop)
SmartWatch
Northwestern University
ChaLean test
8-MFFs-3f1c
MGB
F-BLSTM