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LifeLogging: personal big data

Gurrin, Cathal and Smeaton, Alan F. and Doherty, Aiden R. (2014) LifeLogging: personal big data. Foundations and Trends in Information Retrieval, 8 (1). pp. 1-125. ISSN 1554-0677

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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 in order to capture life details of life activities, hence we maintain this focus in this review. However, we also reflect on the challenges lifelogging poses to an information retrieval scientist. This review is a suitable reference for those seeking a information retrieval scientist’s perspective on lifelogging and the quantified self.

Item Type:Article (Published)
Uncontrolled Keywords:Big data; Personal data
Subjects:Computer Science > Lifelog
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Now Publishers
Official URL:
Copyright Information:© 2014 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, Marie Curie / Health Research Board
ID Code:19998
Deposited On:19 Jun 2014 13:38 by Alan Smeaton. Last Modified 19 Jun 2014 13:38

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