Lifelogging technology is getting attention from industry, academic and market, such as wearable sensors and the
concept of smart home. We are proposing a framework which could handle those aggregated multimodal and longitudinal data. The system will take advantage of the rich information carried chronologically and implement process such as data cleaning, low and high level patterns detection and giving feedback to users.
Ireland ->
Dublin City University ->
Publication Type = Conference or Workshop Item
Ireland ->
Dublin City University ->
Subject = Computer Science
Ireland ->
Dublin City University ->
Status = Published
Ireland ->
Dublin City University ->
Subject = Computer Science: Lifelog
Ireland ->
Dublin City University ->
Subject = Engineering: Signal processing
Ireland ->
Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres: INSIGHT Centre for Data Analytics
Ireland ->
Dublin City University ->
Subject = Engineering
Ireland ->
Dublin City University ->
DCU Faculties and Centres = Research Initiatives and Centres
Cathal Gurrin,
Eamonn Newman,
Alan F. Smeaton,
Hu Feiyan