Mining personal data using smartphones and wearable devices: a survey
- ,
- Chee Sun Liew,
- Teh Ying Wah,
- Junaid Shuja,
- Babak Daghighi
- University of Malaya
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
Original language
EnglishPages 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
ISSN
1424-8220External Publication IDs
- Scopus: 84922900595
