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

Steve Williams, John Ware, Berndt Muller

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

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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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