Correction published on 4 November 2019, see
Sensors 2019, 19(21), 4792.
Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training
1
Department of Medical Informatics, Uniklinik RWTH Aachen, Pauwelsstrasse 30, 52057 Aachen, Germany
2
Faculty of Applied Mathematics, AGH University of Science and Technology, Mickiewicza 30, 30-059 Cracow, Poland
3
Computer Supported Learning Group, RWTH Aachen University, Ahornstrasse 55, 52074 Aachen, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: Athanasios V. Vasilakos
Sensors 2016, 16(8), 1221; https://doi.org/10.3390/s16081221
Received: 13 April 2016
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Revised: 8 July 2016
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Accepted: 26 July 2016
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Published: 3 August 2016
(This article belongs to the Section Sensor Networks)
In this paper, we propose a novel approach to eLearning that makes use of smart wearable sensors. Traditional eLearning supports the remote and mobile learning of mostly theoretical knowledge. Here we discuss the possibilities of eLearning to support the training of manual skills. We employ forearm armbands with inertial measurement units and surface electromyography sensors to detect and analyse the user’s hand motions and evaluate their performance. Hand hygiene is chosen as the example activity, as it is a highly standardized manual task that is often not properly executed. The World Health Organization guidelines on hand hygiene are taken as a model of the optimal hygiene procedure, due to their algorithmic structure. Gesture recognition procedures based on artificial neural networks and hidden Markov modeling were developed, achieving recognition rates of ( ) for individual gestures. Our approach is shown to be promising for further research and application in the mobile eLearning of manual skills.
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Keywords:
Myo armband; eLearning; gesture recognition; surface EMG; smart wearable sensors; hand hygiene; hospital-acquired infections; nosocomial infections
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MDPI and ACS Style
Kutafina, E.; Laukamp, D.; Bettermann, R.; Schroeder, U.; Jonas, S.M. Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training. Sensors 2016, 16, 1221. https://doi.org/10.3390/s16081221
AMA Style
Kutafina E, Laukamp D, Bettermann R, Schroeder U, Jonas SM. Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training. Sensors. 2016; 16(8):1221. https://doi.org/10.3390/s16081221
Chicago/Turabian StyleKutafina, Ekaterina, David Laukamp, Ralf Bettermann, Ulrik Schroeder, and Stephan M. Jonas. 2016. "Wearable Sensors for eLearning of Manual Tasks: Using Forearm EMG in Hand Hygiene Training" Sensors 16, no. 8: 1221. https://doi.org/10.3390/s16081221
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