Multimodal Tutor for CPR

D. Di Mitri

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

    Abstract

    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
    PublisherSpringer
    Pages513-516
    Number of pages4
    ISBN (Electronic)9783319938462
    ISBN (Print)9783319938455
    DOIs
    Publication statusPublished - 20 Jun 2018
    EventInternational Conference, AIED 2018 - London, United Kingdom
    Duration: 27 Jun 201830 Jun 2018
    https://aied2018.utscic.edu.au/

    Publication series

    SeriesLecture Notes in Computer Science
    Volume10948

    Conference

    ConferenceInternational Conference, AIED 2018
    Abbreviated titleAIED 2018
    Country/TerritoryUnited Kingdom
    CityLondon
    Period27/06/1830/06/18
    Internet address

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