Laban movement analysis towards behavior patterns

Luís Santos, Jorge Dias

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

6 Scopus citations

Abstract

This work presents a study about the use of Laban Movement Analysis (LMA) as a robust tool to describe human basic behavior patterns, to be applied in human-machine interaction. LMA is a language used to describe and annotate dancing movements and is divided in components [1]: Body, Space, Shape and Effort. Despite its general framework is widely used in physical and mental therapy [2], it has found little application in the engineering domain. Rett J. [3] proposed to implement LMA using Bayesian Networks. However LMA component models have not yet been fully implemented. A study on how to approach behavior using LMA is presented. Behavior is a complex feature and movement chain, but we believe that most basic behavior primitives can be discretized in simple features. Correctly identifying Laban parameters and the movements the authors feel that good patterns can be found within a specific set of basic behavior semantics.

Original languageBritish English
Title of host publicationEmerging Trends in Technological Innovation
Subtitle of host publicationFirst IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2010, Costa de Caparica, Portugal, February 22-24, 2
EditorsLuis M. Camarinha-Matos, Pedro Pereira, Luis Ribeiro
Pages187-194
Number of pages8
DOIs
StatePublished - 2010

Publication series

NameIFIP Advances in Information and Communication Technology
Volume314
ISSN (Print)1868-4238

Keywords

  • Bayesian Networks
  • Behavior Patterns
  • Laban Movement Analysis
  • Movement Characterization

Fingerprint

Dive into the research topics of 'Laban movement analysis towards behavior patterns'. Together they form a unique fingerprint.

Cite this