Re-enacting Football Matches in VR using Virtual Agents' Realistic Behaviours

Authors: Xu, W., Alarab, I., Lloyd-Buckingham, C., Bowden, S., Noer, B., Charles, F., Prakoonwit, S., Callaway, A., Ellis, S. and Jones, C.

Journal: Proceedings - 2022 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2022

Pages: 119-123

DOI: 10.1109/AIVR56993.2022.00024

Abstract:

Football (or Soccer)1 matches are often analysed from 2D video footage that lacks any spatial details of the players on the pitch. On the other hand, the real-time positions of the players derived from recorded tracking data are not easily understandable without an immersive and effective visualisation of the players located on a pitch with the ability of the system to review actions over a timeline. To address some of these drawbacks, we propose a novel "Believable Agent Behaviour"(BAB) engine, based on virtual reality equipped with artificial intelligence for the generation of realistic virtual agent animations to enact the data-driven events from football matches. This system implements an immersive, interactive, believable, and automated end-to-end simulation to analyse and replay a football match using immersive 3D graphics.

https://eprints.bournemouth.ac.uk/37942/

Source: Scopus

Re-enacting Football Matches in VR using Virtual Agents' Realistic Behaviours

Authors: Xu, W., Alarab, I., Lloyd-Buckingham, C., Bowden, S., Noer, B., Charles, F., Prakoonwit, S., Callaway, A., Ellis, S. and Jones, C.

Journal: 2022 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND VIRTUAL REALITY (AIVR)

Pages: 123-127

ISSN: 2771-7445

DOI: 10.1109/AIVR56993.2022.00024

https://eprints.bournemouth.ac.uk/37942/

Source: Web of Science (Lite)

Re-enacting Football Matches in VR using Virtual Agents' Realistic Behaviours

Authors: Xu, W., Alarab, I., Lloyd-Buckingham, C., Bowden, S., Noer, B., Charles, F., Prakoonwit, S., Callaway, A., Ellis, S. and Jones, C.

Conference: IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

Dates: 12-14 December 2022

Abstract:

Football matches are often analysed from 2D video footage that lacks any spatial details of the players on the pitch. On the other hand, the real-time positions of the players derived from recorded tracking data are not easily understandable without an immersive and effective visualisation of the players located on a pitch with the ability of the system to review actions over a timeline. To address some of these drawbacks, we propose a novel “Believable Agent Behaviour” (BAB) engine, based on virtual reality equipped with artificial intelligence for the generation of realistic virtual agent animations to enact the data-driven events from football matches. This system implements an immersive, interactive, believable, and automated end-to-end simulation to analyse and replay a football match using immersive 3D graphics.

https://eprints.bournemouth.ac.uk/37942/

Source: Manual

Re-enacting football matches in VR using virtual agents' realistic behaviours

Authors: Xu, W., Alarab, I., Lloyd-Buckingham, C., Bowden, S., Noer, B., Charles, F., Prakoonwit, S., Callaway, A., Ellis, S. and Jones, C.

Conference: IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

Abstract:

Football matches are often analysed from 2D video footage that lacks any spatial details of the players on the pitch. On the other hand, the real-time positions of the players derived from recorded tracking data are not easily understandable without an immersive and effective visualisation of the players located on a pitch with the ability of the system to review actions over a timeline. To address some of these drawbacks, we propose a novel “Believable Agent Behaviour” (BAB) engine, based on virtual reality equipped with artificial intelligence for the generation of realistic virtual agent animations to enact the data-driven events from football matches. This system implements an immersive, interactive, believable, and automated end-to-end simulation to analyse and replay a football match using immersive 3D graphics.

https://eprints.bournemouth.ac.uk/37942/

https://aivr.science.uu.nl/

Source: BURO EPrints