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International Journal of Computer Games Technology
Volume 2010, Article ID 536480, 14 pages
Research Article

Action Recognition for Support of Adaptive Gameplay: A Case Study of a First Person Shooter

Department of Electronic Imaging and Media Communications, School of Informatics, University of Bradford, West Yorkshire, BD7 1DP, UK

Received 28 July 2009; Accepted 16 January 2010

Academic Editor: Abdennour El Rhalibi

Copyright © 2010 S. Kazmi and I. J. Palmer. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


With games continuously and rapidly evolving to become more complex and sophisticated in their nature and implementation. There is a fundamental need to sustain and deliver a similarly advanced, realistic, and engaging experience for the player. The implementation of “emergence” within games as providing an effective means to sustain this engagement in conjunction with some form of action recognition mechanism for its support. More recently, games have made much of the “adaptive” mechanisms that tailor the player experience during the game, but much of this appears to be implemented by merely making the game harder according to the success of the player. Some go further than this by incorporating adaptive AI that change agent tactics to suit the player's style of play. Whilst these are clearly advances in the approach to providing a player-centric experience to engage the player, the basis and transferability of these approaches is open to question. Here we propose a limited flavour of “emergence” which can be used to support an adaptive game mechanism and so present players with different gameplay experiences based on their actions within the game.