LifeLogging: Personal big data

被引:239
作者
Gurrin, Cathal [1 ]
Smeaton, Alan F. [1 ]
Doherty, Aiden R. [2 ]
机构
[1] Insight Centre for Data Analytics, Dublin City University, Ireland
[2] Nuffield Department of Population Health, University of Oxford, United Kingdom
来源
Foundations and Trends in Information Retrieval | 2014年 / 8卷 / 01期
关键词
Big data - Digital storage;
D O I
10.1561/1500000033
中图分类号
学科分类号
摘要
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 an information retrieval scientist's perspective on lifelogging and the quantified self. © 2014 C. Gurrin, A. F. Smeaton, and A. R. Doherty.
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页码:1 / 125
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