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Understanding Movement and Interaction: An Ontology for Kinect-Based 3D Depth Sensors

  • Natalia Díaz Rodríguez
  • Robin Wikström
  • Johan Lilius
  • Manuel Pegalajar Cuéllar
  • Miguel Delgado Calvo Flores
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8276)

Abstract

Microsoft Kinect has attracted great attention from research communities, resulting in numerous interaction and entertainment applications. However, to the best of our knowledge, there does not exist an ontology for 3D depth sensors. Including automated semantic reasoning in these settings would open the doors for new research, making possible not only to track but also understand what the user is doing. We took a first step towards this new paradigm and developed a 3D depth sensor ontology, modelling different features regarding user movement and object interaction. We believe in the potential of integrating semantics into computer vision. As 3D depth sensors and ontology-based applications improve further, the ontology could be used, for instance, for activity recognition, together with semantic maps for supporting visually impaired people or in assistance technologies, such as remote rehabilitation.

Keywords

Ontology Kinect Human Activity Modelling and Recognition Ubiquitous Computing 

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Natalia Díaz Rodríguez
    • 1
  • Robin Wikström
    • 2
  • Johan Lilius
    • 1
  • Manuel Pegalajar Cuéllar
    • 3
  • Miguel Delgado Calvo Flores
    • 3
  1. 1.Turku Centre for Computer Science (TUCS), Department of ITÅbo Akademi UniversityTurkuFinland
  2. 2.IAMSRÅbo Akademi UniversityTurkuFinland
  3. 3.Department of Computer Science and Artificial IntelligenceUniversity of GranadaSpain

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