G3Di: A Gaming Interaction Dataset with a Real Time Detection and Evaluation Framework
By Victoria Bloom, Vasileios Argyriou, Dimitrios Makris. 2014
32 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering
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Citations in the corpus
- Space-Time Representation of People Based on 3D Skeletal Data: A Review (2016, methodology): “Many other datasets captured using a Kinect v1 camera were also released to the public, including the MSR Daily Activity 3D [121], MSR Action Pairs [113], Online RGBD Action (ORGBD) [107], UTKinect-Action [124], Florence 3D-Action [118], CMU-MAD [104], UTD-MHAD [103], G3D/G3Di [105], [119], SPHERE [”
- RGBD Datasets: Past, Present and Future (2016, methodology): “G3Di Gaming Interaction Dataset [10] 12 17 -b X Humans interacting with computer game ’14”