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

Lecture Notes in Computer Science Artificial Intelligence in Health(2019)

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摘要
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.
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关键词
Privacy,Deep learning,Assisted-living,Mobile computing,Ethics,mHeath,Wearable health,Dementia,Safer walking,GPS,LSTM,RNN
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