Name
Title | ||
|---|---|---|
G3di: A Gaming Interaction Dataset With A Real Time Detection And Evaluation Framework |
Abstract | ||
|---|---|---|
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 game-sourcing 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 where the interaction between people occurs through a computer interface. We also propose an evaluation metric for real time applications, which assesses both the accuracy and latency of the interactions. Experimental results indicate higher complexity of the new dataset in comparison to existing gaming datasets. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-16178-5_49 | COMPUTER VISION - ECCV 2014 WORKSHOPS, PT I |
Keywords | Field | DocType |
Human interaction recognition, Multimodal dataset, Multiplayer gaming, Interaction evaluation metric | Virtual machine,Latency (engineering),Computer science,Human interaction,Human–computer interaction,Artificial intelligence,Modular design,Machine learning,Interface (computing) | Conference |
Volume | ISSN | Citations |
8925 | 0302-9743 | 7 |
PageRank | References | Authors |
0.42 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Victoria Bloom | 1 | 96 | 3.90 |
| Vasileios Argyriou | 2 | 279 | 30.51 |
| Dimitrios Makris | 3 | 808 | 64.12 |