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.
https://hal.inria.fr/hal-01060802 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Thursday, November 23, 2017 - 3:57:12 PM Last modification on : Wednesday, November 29, 2017 - 10:51:59 AM
Luís Santos, Jorge Dias. Laban Movement Analysis towards Behavior
Patterns. First IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2010, Costa de Caparica, Portugal. pp.185-192, ⟨10.1007/978-3-642-11628-5_20⟩. ⟨hal-01060802⟩