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Projetos

CCG – Centro de Computação Gráfica

COGNITO: Cognitive Workflow Capturing and Rendering with On-Body Sensor Networks

Description
Financiamento
Parceiros
  • 2010-2013

    The aim of the COGNITO project is to address these issues by advancing both the scope and the capability of human activity capture, recognition and rendering. Specifically, we propose to develop novel techniques that will allow cognitive workflow patterns to be analysed, learnt, recorded and subsequently rendered in a user-adaptive manner. Our concern will be to map and closely couple both the afferent and efferent channels of the human subject, enabling activity data to be linked directly to workflow patterns and task completion. We will focus particularly on tasks involving the hand manipulation of objects and tools due to their importance in many industrial applications. The key objectives of the project are to develop a novel on-body sensor network consisting of miniature inertial and vision sensors, estimate an osteo-articular model of the human body, recover the workflow digitally, and develop novel rendering mechanism for effective and user-adaptive visualization.

    The work will done within the context of designing effective user assistance systems based around Augmented Reality techniques for specialized industrial manufacture and will be carried out in close collaboration with industrial and end user partners.

    There are a number of key properties which cognitive capture systems need to possess and the COGNITO project aims to address these:

    • Sensing capability that is able to measure relevant human activity, from simple hand motions and gestures through to eye movements and the complex manipulation of objects;
    • Mobility and flexibility, allowing activity to be captured in the natural task environment with minimal invasive instrumentation and avoiding the need for over constrained and fixed infrastructures;
    • Sensor processing and fusion algorithms capable of sophisticated interpretation of sensor data for monitoring, analysing and recognizing activity, both in isolation and in the wider context of task solving;
    • Learning frameworks capable of mapping and closely coupling both the afferent and efferent channels of user activity, enabling actions to be linked directly to workflow patterns and task completion;
    • Rendering mechanisms, enabling learned cognitive knowledge to be transferred into meaningful content delivery for assisting and interacting with users.

    Partners:

    DFKI – Deutsches Forshungzentrum für Künstliche Intelligenz GmbH
    University of Bristol
    University of Leeds
    CNRS – University of Compiegne
    Trivisio Prototyping GmbH
    Technologie-Initiative SmartFactory Kl e. V


    Financing:

    SEVENTH FRAMEWORK PROGRAM
    THEME ICT-2009.2.1 Cognitive Systems and Robotics
    ICT – Information and Communications Technologies
    Project Number: ICT - 248290

  • SEVENTH FRAMEWORK PROGRAM
    THEME ICT-2009.2.1 Cognitive Systens and Robotics
    ICT – Information and Communications Technologies

    • CCG – Centro de Computação Gráfica
    • DFKI – Deutsches Forshungzentrum für Künstliche Intelligenz GmbH
    • University of Bristol
    • University of Leeds
    • CNRS – University of Compiegne
    • Trivisio Prototyping GmbH
    • Technologie-Initiative SmartFactory Kl e. V

     

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