A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
G3Di: A Gaming Interaction Dataset with a Real Time Detection and Evaluation Framework
[chapter]
2015
Lecture Notes in Computer Science
This paper presents a new, realistic and challenging human interaction dataset for multiplayer gaming, containing synchronised colour, depth and skeleton data. In contrast to existing datasets where the interactions are scripted, G3Di was captured using a novel gamesourcing method so the movements are more realistic. Our detection framework decomposes interactions into the actions of each person to infer the interaction in real time. This modular approach is applicable to a virtual environment
doi:10.1007/978-3-319-16178-5_49
fatcat:rusmzwdzrng3ffcevzk2meticy