Abstract Lifelogging is a form of pervasive computing that represents a phenomenon whereby people can digitally record their own daily lives in varying amounts of detail, for a variety of purposes. Lifelogging offers huge potential for supporting behaviour change because it can capture the totality of life experience and provide heretofore unknown levels of insight into the real-world activities of the lifelogger. In this paper we present a real-time curated lifelogging prototype that can support real-time behavioural analysis by supporting immediate feedback and intervention to the lifelogger.

Url http://doras.dcu.ie/20203/1/mb2014_submission_104.pdf

Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
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 -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Lifelog
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: INSIGHT Centre for Data Analytics
Ireland -> Dublin City University -> Subject = Computer Science: Machine learning
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres