Activity Classification for Interactive Game Interfaces
Joint Authors
Costen, Nick
Li, Baihua
Darby, John
Source
International Journal of Computer Games Technology
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-03-13
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
We present a technique for modeling and recognising human activity from moving light displays using hidden Markov models.
We extract a small number of joint angles at each frame to form a feature vector.
Continuous hidden Markov models are then trained with the resulting time series, one for each of a variety of human activity, using the Baum-Welch algorithm.
Motion classification is then attempted by evaluation of the forward variable for each model using previously unseen test data.
Experimental results based on real-world human motion capture data demonstrate the performance of the algorithm and some degree of robustness to data noise and human motion irregularity.
This technique has potential applications in activity classification for gesture-based game interfaces and character animation.
American Psychological Association (APA)
Darby, John& Li, Baihua& Costen, Nick. 2008. Activity Classification for Interactive Game Interfaces. International Journal of Computer Games Technology،Vol. 2008, no. 2008, pp.1-7.
https://search.emarefa.net/detail/BIM-495844
Modern Language Association (MLA)
Darby, John…[et al.]. Activity Classification for Interactive Game Interfaces. International Journal of Computer Games Technology No. 2008 (2008), pp.1-7.
https://search.emarefa.net/detail/BIM-495844
American Medical Association (AMA)
Darby, John& Li, Baihua& Costen, Nick. Activity Classification for Interactive Game Interfaces. International Journal of Computer Games Technology. 2008. Vol. 2008, no. 2008, pp.1-7.
https://search.emarefa.net/detail/BIM-495844
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495844