@inbook{29f28c637080415d922662146af222bf,
title = "Laban movement analysis towards behavior patterns",
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.",
keywords = "Bayesian Networks, Behavior Patterns, Laban Movement Analysis, Movement Characterization",
author = "Lu{\'i}s Santos and Jorge Dias",
year = "2010",
doi = "10.1007/978-3-642-11628-5_20",
language = "British English",
isbn = "9783642116278",
series = "IFIP Advances in Information and Communication Technology",
pages = "187--194",
editor = "Camarinha-Matos, {Luis M.} and Pedro Pereira and Luis Ribeiro",
booktitle = "Emerging Trends in Technological Innovation",
}