@inproceedings{8e208fa33f3641ea8085ef778f061d00,
title = "Affordances for capturing and re-enacting expert performance with wearables",
abstract = "The WEKIT.one 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.",
keywords = "affordances, augmented reality, wearable technologies, capturing expertise",
author = "Will Guest and Fridolin Wild and Alla Vovk and Mikhail Fominykh and Bibeg Limbu and Roland Klemke and Puneet Sharma and Jaakko Karjalainen and Carl Smith and Jazz Rasool and Soyeb Aswat and Kaj Helin and {Di Mitri}, Daniele and Jan Schneider",
note = "SHP: ForIndustry ; European Conference on Technology Enhanced Learning, EC-TEL 2017, EC-TEL 2017 ; Conference date: 12-09-2017 Through 15-09-2017",
year = "2017",
month = jan,
day = "1",
doi = "10.1007/978-3-319-66610-5_34",
language = "English",
isbn = "978-3-319-66609-9",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "403--409",
editor = "Julien Broisin and Elise Lavoue and Hendrik Drachsler and Katrien Verbert and Mar Perez-Sanagustin",
booktitle = "Data Driven Approaches in Digital Education",
address = "Germany",
}