CPR Tutor

Product or Programme · All products and programmes
Evidence · 2 claims (2 for) · 1 study (1 causal), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

CPR Tutor is a C# multimodal CPR-training application developed by Di Mitri et al. that uses Kinect depth-camera and Myo EMG data to classify chest-compression technique and provide real-time audio feedback.

Components

• CPR Tutor system architecture implementing the five-step Multimodal Pipeline with three layers: The CPR Tutor is a C# application collecting Kinect v2 depth-camera and Myo EMG armband data for CPR training. Its architecture "implements the five-step approach introduced by the Multimodal Pipeline" for collection, storing, annotation, processing and exploitation of multimodal data, and features Presentation, Application and Data layers. It supports offline model training and real-time exploitation with audio feedback. (Di Mitri et al. (2022))

Claims

• The CPR Tutor architecture classifies a chest compression in about 70 milliseconds, supporting real-time feedback provision [+M]
• Real-time audio feedback from the CPR Tutor is followed by a short-term decrease in Error Rates across all five target CPR classes within 10 seconds [+M]

Related Products and Programmes

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Key Sources

• Di Mitri, D., Schneider, J., & Drachsler, H. (2022). KeepMeInTheLoop: Real-Time Feedback with Multimodal Data. International Journal of Artificial Intelligence in Education (2022) 32:1093–1118. https://doi.org/10.1007/s40593-021-00281-z

Page metadata

Field	Value
type	product
id	cpr-tutor
title	CPR Tutor
description	CPR Tutor is a C# multimodal CPR-training application developed by Di Mitri et al.
status	review
product_kind	software
generated	by process:settle-candidates on 2026-10-27
trust	unverified — no one has confirmed this page's content

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