Paper Info
Title
A dynamic Bayesian approach to computational Laban shape quality analysis
Abstract
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.
Year
DOI
Venue
2009
10.1155/2009/362651
Adv. Human-Computer Interaction
Keywords
Field
DocType
laban movement analysis,laban shape quality analysis,improvisatory movement,lma shape quality,interactive dance,fuse movement feature,dynamic bayesian approach,human movement,full-body human movement,human-computer interaction,dynamic bayesian network,flexible bayesian fusion approach,bayesian approach
Motion capture,Dance,Computer science,Simulation,Embodied cognition,Human–computer interaction,Animation,Kinesiology,Dynamic Bayesian network,Laban Movement Analysis,Bayesian probability
Journal
Volume
ISSN
Citations 
2009,
1687-5893
14
PageRank 
References 
Authors
0.71
31
10
Name
Order
Citations
PageRank
Dilip Swaminathan1181.85
Harvey Thornburg2617.67
Jessica Mumford3141.39
Stjepan Rajko415414.22
Jodi James5709.92
Todd Ingalls612516.97
Ellen Campana7669.49
Gang Qian878463.77
Pavithra Sampath9140.71
Bo Peng10302.03