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Abstract
  • This paper presents ongoing work on the design, deployment and evaluation of a multimodal data acquisition architecture
    which utilises minimally invasive motion, head, eye and gaze tracking alongside high-quality audiovisual recording of
    human interactions. The different data streams are centrally collected and visualised at a single point and in real time by
    means of integration in a virtual reality (VR) environment. The overall aim of this endeavour is the implementation of a
    multimodal data acquisition facility for the purpose of studying non-verbal phenomena such as feedback gestures,
    hand and pointing gestures and multi-modal alignment. In the first part of this work that is described here, a series of tests
    were performed in order to evaluate the feasibility of tracking feedback head gestures using the proposed architecture.
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