Detecting Mistakes in CPR Training with Multimodal Data and Neural Networks

This study investigated to what extent multimodal data can be used to detect mistakes during Cardiopulmonary Resuscitation (CPR) training. We complemented the Laerdal QCPR ResusciAnne manikin with the Multimodal Tutor for CPR, a multi-sensor system consisting of a Microsoft Kinect for tracking body...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland), Vol. 19, No. 14 (2019)
Main Author: Di Mitri, Daniele
Other Involved Persons: Schneider, Jan ; Specht, Marcus ; Drachsler, Hendrik
Format: electronic Article
Item Description:Date Revised 20.08.2019
published: Electronic
Citation Status In-Process
Copyright: From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Physical Description:Online-Ressource
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