Output details
11 - Computer Science and Informatics
Goldsmiths' College
Article title
Learning Finite State Machine Controllers from Motion Capture Data
Type
D - Journal article
Title of journal
IEEE Transactions on Computational Intelligence and AI in Games
Article number
-
Volume number
1
Issue number
1
First page of article
63
ISSN of journal
1943068X
Year of publication
2009
Number of additional authors
0
Additional information
<24> Published in the highest ranked games journal (SCImago), the paper develops the methodology presented in Gillies et al (2008), allowing more complex behaviour models. Rather than the reactive models used in the previous paper, this research includes models with state, in which behaviour can evolve over time and in response to interaction. The models were tested on different human behaviour datasets. Cited by researchers in Concordia and Hong Kong Polytechnic. This work led to the EPSRC funded project “Performance-Driven Expressive Virtual Characters” (EP/H02977X/1). All project reviewers gave it 6 out of 6 in their overall assessment.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
3
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
