Using machine learning techniques to track individuals & their fitness activities

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Title

Using machine learning techniques to track individuals & their fitness activities

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

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 and process data sent from a wearable device to its paired smartphone during synchronization and 2)...

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Format

Research Paper

Research format

Conference item

Date created

2017

Creator

Reichherzer, Thomas / Timm, Mikayla / Earley, Nathan / Reyes, Nathaniel / Kumar, Vimal

URL

https://hdl.handle.net/10289/11113

Related subjects

wearable fitness device / security / privacy / tracking / machine-learning techniques

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©2023 The Author(s). This is an open-access article under the CCBY license (http://creativecommons.org/licenses/by/4.0/).

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