NVGesture
Introduced by Molchanov et al. in Online Detection and Classification of Dynamic Hand Gestures With Recurrent 3D Convolutional Neural Network
The NVGesture dataset focuses on touchless driver controlling. It contains 1532 dynamic gestures fallen into 25 classes. It includes 1050 samples for training and 482 for testing. The videos are recorded with three modalities (RGB, depth, and infrared).
Source: Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture RecognitionBenchmarks
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De+Recouple
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