Affordances for Capturing and Re-enacting Expert Performance with Wearables

Will Guest, Fridolin Wild, Alla Vovk, Mikhail Fominykh, Bibeg Limbu, Roland Klemke, Puneet Sharma, Jaakko Karjalainen, Carl H. Smith, Jazz Rasool, Soyeb Aswat, Kaj Helin, Daniele Di Mitri, Jan Schneider

    Research output: Chapter in Book/Report/Conference proceedingConference Article in proceedingAcademicpeer-review


    The prototype is a platform for immersive procedural training with wearable sensors and Augmented Reality. Focusing on capture and re-enactment of human expertise, this work looks at the unique affordances of suitable hard- and software technologies. The practical challenges of interpreting expertise, using suitable sensors for its capture and specifying the means to describe and display to the novice are of central significance here. We link affordances with hardware devices, discussing their alternatives, including Microsoft Hololens, Thalmic Labs MYO, Alex Posture sensor, MyndPlay EEG headband, and a heart rate sensor. Following the selection of sensors, we describe integration and communication requirements for the prototype. We close with thoughts on the wider possibilities for implementation and next steps.

    Original languageUndefined
    Title of host publicationData Driven Approaches in Digital Education
    EditorsÉlise Lavoué, Hendrik Drachsler, Katrien Verbert, Julien Broisin, Mar Pérez-Sanagustín
    Place of PublicationCham
    PublisherSpringer, Cham
    Number of pages7
    ISBN (Electronic)978-3-319-66610-5
    ISBN (Print)978-3-319-66609-9
    Publication statusPublished - 5 Sept 2017
    Event12th European Conference on Technology Enhanced Learning: Data Driven Approaches in Digital Education - Tallinn, Estonia
    Duration: 12 Sept 201715 Sept 2017

    Publication series

    SeriesLecture Notes in Computer Science


    Conference12th European Conference on Technology Enhanced Learning
    Abbreviated titleEC-TEL 2017
    Internet address

    Cite this