Multimodal Tutor for CPR

D. Di Mitri

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review


This paper describes the design of an intelligent Multimodal Tutor for training people to perform cardiopulmonary resuscitation using patient manikins (CPR tutor). The tutor uses a multi-sensor setup for tracking the CPR execution and generating personalised feedback, including unobtrusive vibrations and retrospective summaries. This study is the main experiment of a PhD project focusing on multimodal data support for investigating practice-based learning scenarios, such as psychomotor skills training in the classroom or at the workplace. For the CPR tutor the multimodal data considered consist of trainee’s body position (with Microsoft Kinect), electromyogram (with Myo armband) and compression rates data derived from the manikin. The CPR tutor uses a new technological framework, the Multimodal Pipeline, which motivates a set of technical approaches used for the data collection, storage, processing, annotation and exploitation of multimodal data. This paper aims at opening up the motivation, the planning and expected evaluations of this experiment to further feedback and considerations by the scientific community.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education
Subtitle of host publication19th International Conference, AIED 2018, London, UK, June 27–30, 2018, Proceedings, Part II
EditorsCarolyn P. Rosé, Roberto Martínez-Maldonado, H. Ulrich Hoppe, Rose Luckin, Manolis Mavrikis, Kaska Porayska-Pomsta, Bruce McLaren, Benedict du Boulay
Place of PublicationCham
Number of pages4
ISBN (Electronic)9783319938462
ISBN (Print)9783319938455
Publication statusPublished - 20 Jun 2018
EventInternational Conference, AIED 2018 - London, United Kingdom
Duration: 27 Jun 201830 Jun 2018

Publication series

SeriesLecture Notes in Computer Science


ConferenceInternational Conference, AIED 2018
Abbreviated titleAIED 2018
CountryUnited Kingdom
Internet address

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