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LifeLogging: Personal Big Data

Authors: 

Cathal Gurrin, Alan Smeaton, Aiden R. Doherty

Publication Type: 
Refereed Original Article
Abstract: 
We have recently observed a convergence of technologies to foster the emergence of lifelogging as a mainstream activity. Computer storage has become significantly cheaper, and advancements in sensing technology allows for the efficient sensing of personal activities, locations and the environment. This is best seen in the growing popularity of the quantified self movement, in which life activities are tracked using wearable sensors in the hope of better understanding human performance in a variety of tasks. This review aims to provide a comprehensive summary of lifelogging, to cover its research history, current technologies, and applications. Thus far, most of the lifelogging research has focused predominantly on visual lifelogging, hence we maintain this focus in this review. However, we also reflect on the challenges lifelogging poses for information access and retrieval in general. This review is a suitable reference for those seeking an information retrieval scientist’s perspective on lifelogging and the quantified self.
Digital Object Identifer (DOI): 
10.1561/1500000033
Publication Status: 
Published
Date Accepted for Publication: 
Monday, 6 January, 2014
Publication Date: 
16/06/2014
Journal: 
Foundations and Trends® in Information Retrieval
Volume: 
8
Issue: 
1
Pages: 
1-125
Research Group: 
Institution: 
Dublin City University (DCU)
Open access repository: 
Yes