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Using machine learning techniques to track individuals & their fitness activities

Description:
The use of wearable devices for fitness and health tracking is on an upward curve with a range of devices now available from a number of manufacturers. The devices work with smart devices to exchange data via Bluetooth communication protocol. This paper presents the results of an initial study on the security and privacy weaknesses of wearable fitness devices. It discusses methods to 1) capture...
Display date:
2017
Format:
Conference item
Collections:
ResearchCommons@Waikato
Contributors:
Bossard, Antoine
Publisher:
ISCA
Content partner:
University of Waikato
Availability:
Not specified
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    This is the author's accepted version. Copyright © 2017 by the International Society for Computers and Their Applications.

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