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.
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 language | English |
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Title of host publication | Artificial Intelligence in Health |
Subtitle of host publication | First International Workshop, AIH 2018, Stockholm, Sweden, July 13-14, 2018, Revised Selected Papers |
Editors | Fernando 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 |
Publisher | Springer |
Pages | 29-47 |
ISBN (Electronic) | 978-3-030-12738-1 |
ISBN (Print) | 978-3-030-12737-4 |
DOIs | |
Publication status | Published - 21 Feb 2019 |
Event | First International Workshop, Artificial Intelligence in Health 2018 - Stockholm, Sweden Duration: 13 Jul 2018 → 14 Jul 2018 |
Publication series
Name | Lecture Notes in Artificial Intelligence |
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Publisher | Springer |
Volume | 11326 |
ISSN (Print) | 0302-9743 |
Workshop
Workshop | First International Workshop, Artificial Intelligence in Health 2018 |
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Abbreviated title | AIH2018 |
Country/Territory | Sweden |
City | Stockholm |
Period | 13/07/18 → 14/07/18 |
Keywords
- privacy
- deep learning
- assisted-living
- mobile computing
- ethics
- mHealth
- Wearable health
- Dementia
- safer walking
- GPS
- LSTM
- RNN