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Mining personal data using smartphones and wearable devices: a survey

  • University of Malaya
Research Output: Contribution to journal Review article Peer-review

Open access

Abstract

The staggering growth in smartphone and wearable device use has led to a massive scale generation of personal (user-specific) data. To explore, analyze, and extract useful information and knowledge from the deluge of personal data, one has to leverage these devices as the data-mining platforms in ubiquitous, pervasive, and big data environments. This study presents the personal ecosystem where all computational resources, communication facilities, storage and knowledge management systems are available in user proximity. An extensive review on recent literature has been conducted and a detailed taxonomy is presented. The performance evaluation metrics and their empirical evidences are sorted out in this paper. Finally, we have highlighted some future research directions and potentially emerging application areas for personal data mining using smartphones and wearable devices.

Publication Information

Output type

Research Output: Contribution to journal Review article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 4430-4469 (40 pages)

Journal (Volume, Issue Number)

Sensors (Volume 15, Issue 2)

Publication milestones

  • Accepted/In press - 09/02/2015
  • Published - 13/02/2015

Publication status

Published - 13/02/2015

ISSN

1424-8220

External Publication IDs

  • Scopus: 84922900595

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