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Stochastic Prediction of Waypoints for Extended-Range Telepresence Applications

Rößler, Patrick; Schrempf, Oliver C.; Hanebeck, Uwe D.


The Motion Compression framework for extended range telepresence applications consists of three functional modules: path prediction, path transformation, and user guidance. This paper presents a new path prediction module for known environments that exploits the property, that humans typically walk on straight paths toward discrete goal objects. In order to estimate the user's goal object out of a set of possible goals, we derived a Bayesian filter that gives this discrete estimate based on continuous measurements of the user's head pose.

Volltext §
DOI: 10.5445/IR/1000013890
Cover der Publikation
Zugehörige Institution(en) am KIT Fakultät für Informatik – Institut für Anthropomatik (IFA)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2006
Sprache Englisch
Identifikator ISBN: 978-3-9809614-2-4
KITopen-ID: 1000013890
Erschienen in Proceedings / 2nd International Workshop on Human Centered Robotic Systems 2006, October 6 - 7, 2006, Munich, Germany. Ed.: K. Diepold
Verlag München
Seiten 85 - 89
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