computer-vision-18
Hand Gesture Recognition
3260 papers • 126 benchmarks • 313 datasets
Hand gesture recognition (HGR) is a subarea of Computer Vision where the focus is on classifying a video or image containing a dynamic or static, respectively, hand gesture. In the static case, gestures are also generally called poses. HGR can also be performed with point cloud or joint hand data.
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Benchmarks
These leaderboards are used to track progress in hand-gesture-recognition-72
Trend
Dataset
Best Model
Actions
DHG-14
DHG-14
DHG-28
DHG-28
NVGesture
NVGesture
Libraries
iUse these libraries to find hand-gesture-recognition-72 models and implementations
Datasets
No datasets available.
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