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Foundational Models for Manipulation Activity Parsing

In: Extended Reality and Metaverse

Author

Listed:
  • Daniel Beßler

    (Bremen University)

  • Robert Porzel

    (Bremen University)

  • Mihai Pomarlan

    (Bremen University)

  • Michael Beetz

    (Bremen University)

Abstract

Human demonstrations of everyday activities are an important resource to learn the particularities of the corresponding control strategies that are needed to perform such activities with ease and competence. However, such demonstrations need to be annotated such that time segments get associated to the appropriate actions. Previous research in psychology has shown that humans find contact and force events to be particularly significant when adapting control situations during a task. Based on the psychologically motivated Flanagan model, we present a method to recognize activities from force dynamic events and states. For this, we incorporated the Flanagan model in an ontology, together with Allen’s interval algebra to model temporal ordering constraints. We use the ontology to generate the grammar of an activity parser. Due to this parser creation method, the system can also be used as a verification tool for the ontology.

Suggested Citation

  • Daniel Beßler & Robert Porzel & Mihai Pomarlan & Michael Beetz, 2023. "Foundational Models for Manipulation Activity Parsing," Springer Proceedings in Business and Economics, in: Timothy Jung & M. Claudia tom Dieck & Sandra Maria Correia Loureiro (ed.), Extended Reality and Metaverse, pages 115-121, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-25390-4_10
    DOI: 10.1007/978-3-031-25390-4_10
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