Affordances for capturing and re-enacting expert performance with wearables

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

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    9 Citations (Scopus)


    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 languageEnglish
    Title of host publicationData Driven Approaches in Digital Education
    Subtitle of host publication12th European Conference on Technology Enhanced Learning, EC-TEL 2017
    EditorsJulien Broisin, Elise Lavoue, Hendrik Drachsler, Katrien Verbert, Mar Perez-Sanagustin
    Place of PublicationCham
    ISBN (Electronic)978-3-319-66610-5
    ISBN (Print)978-3-319-66609-9
    Publication statusPublished - 1 Jan 2017
    MoE publication typeA4 Article in a conference publication
    EventEuropean Conference on Technology Enhanced Learning, EC-TEL 2017 - Tallinn, Estonia
    Duration: 12 Sept 201715 Sept 2017

    Publication series

    SeriesLecture Notes in Computer Science


    ConferenceEuropean Conference on Technology Enhanced Learning, EC-TEL 2017
    Abbreviated titleEC-TEL 2017


    • affordances
    • augmented reality
    • wearable technologies
    • capturing expertise


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