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Gesture recognition of the upper limbs — From signal to symbol

  • Martin Fröhlich
  • Ipke Wachsmuth
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1371)

Abstract

To recognise gestures performed by people without disabilities during verbal communication —so-called coverbal gestures —a flexible system with task-oriented design is proposed. The issue of flexibility is addressed via different kinds of modules —grasped as agents —, which are grouped in different levels. They can be easily reconfigured or rewritten to suit another application. This system of layered agents uses an abstract body-model to transform the up-taken data from the sixdegree-of-freedom-sensors, and the data gloves, to a first-level symbolic description of gesture features. In a first integration step the first-level symbols are integrated to second-level symbols describing a whole gesture. Second-level symbolic gesture descriptions are the entities which can be integrated with speech tokens to form multi-modal utterances.

Keywords

Gesture Recognition User Datagram Protocol Sensor Space Virtual Reality Application Data Glove 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 1998

Authors and Affiliations

  • Martin Fröhlich
    • 1
  • Ipke Wachsmuth
    • 1
  1. 1.Technische FakultätUniversität BielefeldBielefeldGermany

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