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Mining personal data using smartphones and wearable devices: a survey

  • University of Malaya

Research output: Contribution to journalReview articlepeer-review

84 Citations (Scopus)
1 Downloads (Pure)

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.

Original languageEnglish
Pages (from-to)4430-4469
Number of pages40
JournalSensors
Volume15
Issue number2
DOIs
Publication statusPublished - 13 Feb 2015
Externally publishedYes

Keywords

  • Data mining
  • Mobile computing
  • Personal data
  • Wearable computing

ASJC Scopus subject areas

  • Analytical Chemistry
  • Information Systems
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

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