A Knowledge-Based Model for Human Motion Tracking and Gesture Recognition in the Context of Natural Interaction with Kinect Devices

Journal Title: Revista Romana de Interactiune Om-Calculator - Year 2018, Vol 11, Issue 2

Abstract

Human-computer interaction (HCI) was revolutionized by the emergence of new technologies, be they proof of concept or fully functional, which created a more immersive, integrated and interactive experience, interactive systems being now able to understand user's activities and respond accordingly. Our study presents an original knowledge-based model to be used to semantically describe – in terms of the OWL and RDF standards – human gestures and poses tracked by a motion sensor-based device. To prove the feasibility of the proposed conceptualization, two use cases were designed: one for manipulating 3D shapes on a board and one for usability testing by using different Kinect-based applications.

Authors and Affiliations

Sabin Buraga, Elena Creanga

Keywords

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  • EP ID EP673686
  • DOI -
  • Views 146
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How To Cite

Sabin Buraga, Elena Creanga (2018). A Knowledge-Based Model for Human Motion Tracking and Gesture Recognition in the Context of Natural Interaction with Kinect Devices. Revista Romana de Interactiune Om-Calculator, 11(2), 163-183. https://europub.co.uk/articles/-A-673686