Ethical Surveillance: Applying Deep Learning and Contextual Awareness for the Benefit of Persons Living with Dementia

Steve Williams, John Ware, Berndt Muller

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    Abstract

    A significant proportion of the population has become used to
    sharing private information on the internet with their friends. This information can leak throughout their social network and the extent that personal information propagates can depend on the privacy policy of large corporations. In an era of artificial intelligence, data mining, and cloud computing, is it necessary to share personal information with unidentified people? Our research shows that deep learning is possible using relatively low capacity computing. When applied, this demonstrates promising results in spatio-temporal positioning of subjects, in prediction of movement, and assessment of contextual risk. A private surveillance system is particularly suitable in the care of those who may be considered vulnerable.
    Original languageEnglish
    Title of host publicationArtificial Intelligence in Health
    Subtitle of host publicationFirst International Workshop, AIH 2018, Stockholm, Sweden, July 13-14, 2018, Revised Selected Papers
    EditorsFernando Koch, Andrew Koster, David Riaño, Sara Montagna, Michael Schumacher, Anette ten Teije, Christian Guttmann, Manfred Reichert, Isabelle Bichindaritz, Pau Herrero, Richard Lenz, Beatriz López, Cindy Marling, Clare Martin, Stefania Montani, Nirmalie Wiratunga
    PublisherSpringer
    Pages29-47
    ISBN (Electronic)978-3-030-12738-1
    ISBN (Print)978-3-030-12737-4
    DOIs
    Publication statusPublished - 21 Feb 2019
    EventFirst International Workshop, Artificial Intelligence in Health 2018 - Stockholm, Sweden
    Duration: 13 Jul 201814 Jul 2018

    Publication series

    NameLecture Notes in Artificial Intelligence
    PublisherSpringer
    Volume11326
    ISSN (Print)0302-9743

    Workshop

    WorkshopFirst International Workshop, Artificial Intelligence in Health 2018
    Abbreviated titleAIH2018
    Country/TerritorySweden
    CityStockholm
    Period13/07/1814/07/18

    Keywords

    • privacy
    • deep learning
    • assisted-living
    • mobile computing
    • ethics
    • mHealth
    • Wearable health
    • Dementia
    • safer walking
    • GPS
    • LSTM
    • RNN

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