Type

Conference Proceedings

Authors

Noel E. O'Connor
S. Cian Ó Mathúna
Alan F. Smeaton
Padraig Curran
Brendan O'Flynn
Philip Kelly
Cian O'Mathuna
Aiden R. Doherty

Subjects

Computer Science

Topics
information storage and retrieval systems colour mood image processing interactive computer systems environmental effects imaging systems human factors experimentation visualization lifelog colour and mood sensecam wearable cameras lifelogging

Effects of environmental colour on mood: a wearable LifeColour capture device (2010)

Abstract Colour is everywhere in our daily lives and impacts things like our mood, yet we rarely take notice of it. One method of capturing and analysing the predominant colours that we encounter is through visual lifelogging devices such as the SenseCam. However an issue related to these devices is the privacy concerns of capturing image level detail. Therefore in this work we demonstrate a hardware prototype wearable camera that captures only one pixel - of the dominant colour prevelant in front of the user, thus circumnavigating the privacy concerns raised in relation to lifelogging. To simulate whether the capture of dominant colour would be sufficient we report on a simulation carried out on 1.2 million SenseCam images captured by a group of 20 individuals. We compare the dominant colours that different groups of people are exposed to and show that useful inferences can be made from this data. We believe our prototype may be valuable in future experiments to capture colour correlated associated with an individual's mood.Colour is everywhere in our daily lives and impacts things like our mood, yet we rarely take notice of it. One method of capturing and analysing the predominant colours that we encounter is through visual lifelogging devices such as the SenseCam. However an issue related to these devices is the privacy concerns of capturing image level detail. Therefore in this work we demonstrate a hardware prototype wearable camera that captures only one pixel - of the dominant colour prevelant in front of the user, thus circumnavigating the privacy concerns raised in relation to lifelogging. To simulate whether the capture of dominant colour would be sufficient we report on a simulation carried out on 1.2 million SenseCam images captured by a group of 20 individuals. We compare the dominant colours that different groups of people are exposed to and show that useful inferences can be made from this data. We believe our prototype may be valuable in future experiments to capture colour correlated associated with an individual's mood.
Collections Ireland -> Dublin City University -> Subject = Computer Science: Information storage and retrieval systems
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Engineering: Imaging systems
Ireland -> University College Cork -> Wireless Sensor Networks Group
Ireland -> University College Cork -> CLARITY - Conference Items
Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> Subject = Computer Science: Interactive computer systems
Ireland -> Dublin City University -> Subject = Computer Science: Image processing
Ireland -> University College Cork -> CLARITY Centre for Sensor Web Technologies
Ireland -> University College Cork -> Wireless Sensor Networks Group - Conference Items
Ireland -> University College Cork -> Research Institutes and Centres
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: Centre for Digital Video Processing (CDVP)
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Electronic Engineering
Ireland -> Dublin City University -> Subject = Engineering
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> Subject = Computer Science
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools
Ireland -> Dublin City University -> Subject = Computer Science: Lifelog
Ireland -> University College Cork -> Tyndall National Institute
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: CLARITY: The Centre for Sensor Web Technologies
Ireland -> Dublin City University -> Subject = Computer Science: Visualization
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing

Full list of authors on original publication

Noel E. O'Connor, S. Cian Ó Mathúna, Alan F. Smeaton, Padraig Curran, Brendan O'Flynn, Philip Kelly, Cian O'Mathuna, Aiden R. Doherty

Experts in our system

1
Noel E. O'Connor
Dublin City University
Total Publications: 420
 
2
S. Cian Ó Mathúna
University College Cork
Total Publications: 61
 
3
Alan F. Smeaton
Dublin City University
Total Publications: 450
 
4
Brendan O'Flynn
University College Cork
Total Publications: 78
 
5
Aiden R. Doherty
Dublin City University
Total Publications: 67