A Dynamic Bayesian Approach to Computational Laban Shape Quality Analysis
Joint Authors
Swaminathan, Dilip
Qian, Gang
James, Jodi
Mumford, Jessica
Rajko, Stjepan
Peng, Bo
Ingalls, Todd
Campana, Ellen
Sampath, Pavithra
Thornburg, Harvey
Source
Advances in Human-Computer Interaction
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-05-03
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Laban movement analysis (LMA) is a systematic framework for describing all forms of human movement and has been widely applied across animation, biomedicine, dance, and kinesiology.
LMA (especially Effort/Shape) emphasizes how internal feelings and intentions govern the patterning of movement throughout the whole body.
As we argue, a complex understanding of intention via LMA is necessary for human-computer interaction to become embodied in ways that resemble interaction in the physical world.
We thus introduce a novel, flexible Bayesian fusion approach for identifying LMA Shape qualities from raw motion capture data in real time.
The method uses a dynamic Bayesian network (DBN) to fuse movement features across the body and across time and as we discuss can be readily adapted for low-cost video.
It has delivered excellent performance in preliminary studies comprising improvisatory movements.
Our approach has been incorporated in Response, a mixed-reality environment where users interact via natural, full-body human movement and enhance their bodily-kinesthetic awareness through immersive sound and light feedback, with applications to kinesiology training, Parkinson's patient rehabilitation, interactive dance, and many other areas.
American Psychological Association (APA)
Swaminathan, Dilip& Thornburg, Harvey& Mumford, Jessica& Rajko, Stjepan& James, Jodi& Ingalls, Todd…[et al.]. 2009. A Dynamic Bayesian Approach to Computational Laban Shape Quality Analysis. Advances in Human-Computer Interaction،Vol. 2009, no. 2009, pp.1-17.
https://search.emarefa.net/detail/BIM-466007
Modern Language Association (MLA)
Swaminathan, Dilip…[et al.]. A Dynamic Bayesian Approach to Computational Laban Shape Quality Analysis. Advances in Human-Computer Interaction No. 2009 (2009), pp.1-17.
https://search.emarefa.net/detail/BIM-466007
American Medical Association (AMA)
Swaminathan, Dilip& Thornburg, Harvey& Mumford, Jessica& Rajko, Stjepan& James, Jodi& Ingalls, Todd…[et al.]. A Dynamic Bayesian Approach to Computational Laban Shape Quality Analysis. Advances in Human-Computer Interaction. 2009. Vol. 2009, no. 2009, pp.1-17.
https://search.emarefa.net/detail/BIM-466007
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-466007