Detecting Mistakes in CPR Training with Multimodal Data and Neural Networks

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
Main Authors: Daniele Di Mitri, Jan Schneider, Marcus Specht, Hendrik Drachsler
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Sensors
Subjects:
multimodal data
neural networks
psychomotor learning
training mistakes
medical simulation
learning analytics
signal processing
activity recognition
sensors
Online Access:https://www.mdpi.com/1424-8220/19/14/3099

Internet

https://www.mdpi.com/1424-8220/19/14/3099

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