A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices

Volume: 21, Issue: 1, Pages: 56 - 64
Published: Jan 1, 2017
Abstract
The increasing popularity of wearable devices in recent years means that a diverse range of physiological and functional data can now be captured continuously for applications in sports, wellbeing, and healthcare. This wealth of information requires efficient methods of classification and analysis where deep learning is a promising technique for large-scale data analytics. While deep learning has been successful in implementations that utilize...
Paper Details
Title
A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices
Published Date
Jan 1, 2017
Volume
21
Issue
1
Pages
56 - 64
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