Next Article in Journal
Achieving Network Level Privacy in Wireless Sensor Networks
Previous Article in Journal
Neurological Tremor: Sensors, Signal Processing and Emerging Applications
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Sensors
Volume 10
Issue 3
10.3390/s100301423
sensors-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Automatically Augmenting Lifelog Events Using Pervasively Generated Content from Millions of People

by
Aiden R. Doherty
* and
Alan F. Smeaton
Centre for Sensor Web Technologies, Dublin City University, Glasnevin, Dublin 9, Ireland
*
Author to whom correspondence should be addressed.
Sensors 2010, 10(3), 1423-1446; https://doi.org/10.3390/s100301423
Submission received: 24 December 2009 / Revised: 19 January 2010 / Accepted: 3 February 2010 / Published: 26 February 2010
(This article belongs to the Section Chemical Sensors)
Browse Figures
Versions Notes

Abstract

In sensor research we take advantage of additional contextual sensor information to disambiguate potentially erroneous sensor readings or to make better informed decisions on a single sensor’s output. This use of additional information reinforces, validates, semantically enriches, and augments sensed data. Lifelog data is challenging to augment, as it tracks one’s life with many images including the places they go, making it non-trivial to find associated sources of information. We investigate realising the goal of pervasive user-generated content based on sensors, by augmenting passive visual lifelogs with “Web 2.0” content collected by millions of other individuals.
Keywords: lifelogging; event augmentation; SenseCam; Web 2.0 lifelogging; event augmentation; SenseCam; Web 2.0
Graphical Abstract

Share and Cite

MDPI and ACS Style

Doherty, A.R.; Smeaton, A.F. Automatically Augmenting Lifelog Events Using Pervasively Generated Content from Millions of People. Sensors 2010, 10, 1423-1446. https://doi.org/10.3390/s100301423

AMA Style

Doherty AR, Smeaton AF. Automatically Augmenting Lifelog Events Using Pervasively Generated Content from Millions of People. Sensors. 2010; 10(3):1423-1446. https://doi.org/10.3390/s100301423

Chicago/Turabian Style

Doherty, Aiden R., and Alan F. Smeaton. 2010. "Automatically Augmenting Lifelog Events Using Pervasively Generated Content from Millions of People" Sensors 10, no. 3: 1423-1446. https://doi.org/10.3390/s100301423

APA Style

Doherty, A. R., & Smeaton, A. F. (2010). Automatically Augmenting Lifelog Events Using Pervasively Generated Content from Millions of People. Sensors, 10(3), 1423-1446. https://doi.org/10.3390/s100301423

Article Metrics

Back to TopTop