G3D (Gaming 3D Dataset)
Introduced by Victoria Bloom et al. in G3D: A gaming action dataset and real time action recognition evaluation framework
The Gaming 3D Dataset (G3D) focuses on real-time action recognition in a gaming scenario. It contains 10 subjects performing 20 gaming actions: “punch right”, “punch left”, “kick right”, “kick left”, “defend”, “golf swing”, “tennis swing forehand”, “tennis swing backhand”, “tennis serve”, “throw bowling ball”, “aim and fire gun”, “walk”, “run”, “jump”, “climb”, “crouch”, “steer a car”, “wave”, “flap” and “clap”.
Source: Skeleton Based Action Recognition Using Translation-Scale Invariant Image Mapping And Multi-Scale Deep CNNBenchmarks
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Gaming 3D (G3D)
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CNN
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Gaming 3D (G3D)
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PISEP^2
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Papers
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