Motion Patterns: Signal Interpretation towards the Laban Movement Analysis Semantics

  • Luís Santos
  • Jorge Dias
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 349)


This work studies the performance of different signal features regarding the qualitative meaning of Laban Movement Analysis semantics. Motion modeling is becoming a prominent scientific area, with research towards multiple applications. The theoretical representation of movements is a valuable tool when developing such models. One representation growing particular relevance in the community is Laban Movement Analysis (LMA). LMA is a movement descriptive language which was developed with underlying semantics. Divided in components, its qualities are mostly divided in binomial extreme states. One relevant issue to this problem is the interpretation of signal features into Laban semantics. There are multiple signal processing algorithms for feature generation, each providing different characteristics. We implemented some, covering a range of those measure categories. The results for method comparison are provided in terms of class separability of the LMA space state.


Laban Movement Analysis Motion Pattern Signal Processing Feature Generation 


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Copyright information

© IFIP International Federation for Information Processing 2011

Authors and Affiliations

  • Luís Santos
    • 1
  • Jorge Dias
    • 1
  1. 1.Instituto de Sistemas e Robótica, Departamento de Engenharia Electrotécnica e de ComputadoresUniversidade de CoimbraPortugal

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