VIVA (Vision for Intelligent Vehicles and Applications)
The VIVA challenge’s dataset is a multimodal dynamic hand gesture dataset specifically designed with difficult settings of cluttered background, volatile illumination, and frequent occlusion for studying natural human activities in real-world driving settings. This dataset was captured using a Microsoft Kinect device, and contains 885 intensity and depth video sequences of 19 different dynamic hand gestures performed by 8 subjects inside a vehicle.
Source: Short-Term Temporal Convolutional Networks for Dynamic Hand Gesture RecognitionBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
VIVA Hand Gestures Dataset
|
Two 3DCNNs: LRN + HRN [11]
|
|||
|
VIVA Hand Gestures Dataset
|
MTUT
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
