Recognition-based gesture spotting in video games
- Authors
- Kang, H; Chang, WL; Jung, KC
- Issue Date
- Nov-2004
- Publisher
- ELSEVIER SCIENCE BV
- Keywords
- gesture spotting; automatic gesture recognition; video games; human computer interaction; gesture-based interface
- Citation
- PATTERN RECOGNITION LETTERS, v.25, no.15, pp.1701 - 1714
- Journal Title
- PATTERN RECOGNITION LETTERS
- Volume
- 25
- Number
- 15
- Start Page
- 1701
- End Page
- 1714
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/19954
- DOI
- 10.1016/j.patrec.2004.06.016
- ISSN
- 0167-8655
- Abstract
- In vision-based interfaces for video games, gestures are used as commands for the games instead of pressing buttons on a keyboard or moving a mouse. In these interfaces, unintentional movements and continuous gestures must be supported to provide the user with a more natural interface. This paper proposes a novel gesture spotting method that combines gesture spotting with gesture recognition. It recognizes the meaningful movements while concurrently separating unintentional movements from a given image sequence. We applied our method to the recognition of upper-body gestures as the interface between a video game (Quake II) and its user. Experimental results show that the proposed method is, on average, 93.36% reliable in spotting gestures from continuous gestures, confirming its potential for a gesture-based interface for computer games. (C) 2004 Elsevier B.V. All rights reserved.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Information Technology > Global School of Media > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.