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.
BUAA
Cambridge
Key Frames + Feature Fusion
ChaLean test
8-MFFs-3f1c
ChaLearn val
DHG-14
DHG-28
FPPR-PCD
EgoGesture
ResNeXt-101
Jester test
DRX3D
Jester val
8-MFFs-3f1c (5 crop)
LSA16
MGB
F-BLSTM
Northwestern University
NVGesture
De+Recouple
RWTH-PHOENIX Handshapes dev set
DenseNet
SHREC 2017
e2eET
SHREC 2017 track on 3D Hand Gesture Recognition
SmartWatch
VIVA Hand Gestures Dataset
MTUT