@inproceedings{6959128443c4485d8680eafd05423cdc,
title = "Wearable sensors in medical education: Supporting hand hygiene training with a forearm EMG",
abstract = "Lack of proper hand hygiene is a common source of hospital acquired infections. Training and evaluating efficiency in hand washing is therefore an important part of medical education. Here, we propose to use the Myo wearable armband to measure correctness of hand washing for mobile learning. Myo's sensors are designed in order to recognize the activity of the forearm, palm and fingers. Using signal processing and machine learning, the quality of the hand washing process can be estimated and used as evaluation in medical teaching. The project is in its initial phase, thus we present preliminary results and a vision of future development.",
keywords = "EMG, Elearning, Gesture recognition, Hospital acquired infections, Human activity recognition, Mobile health, Mobile learning, Myo",
author = "Ekaterina Kutafina and David Laukamp and Jonas, {Stephan M.}",
note = "Publisher Copyright: {\textcopyright} 2015 The authors and IOS Press. All rights reserved.; 12th International Conference on Wearable Micro and Nano Technologies for Personalized Health, pHealth 2015 ; Conference date: 02-06-2015 Through 04-06-2015",
year = "2015",
doi = "10.3233/978-1-61499-516-6-286",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "286--291",
editor = "Bernd Blobel and Ahmed, {Mobyen Uddin} and Maria Linden",
booktitle = "pHealth 2015 - Proceedings of the 12th International Conference on Wearable Micro and Nano Technologies for Personalized Health",
}
