Type

Conference Proceedings

Authors

Matthew P. Buman
Eamonn Newman
Alan F. Smeaton
Feiyan Hu

Subjects

Computer Science

Topics
applied mathematics signal processing periodicity algorithms behaviour change lifelog human behavior intensity

Using periodicity intensity to detect long term behaviour change (2015)

Abstract This paper introduces a new way to analyse and visualize quantified-self or lifelog data captured from any lifelogging device over an extended period of time. The mechanism works on the raw, unstructured lifelog data by detecting periodicities, those repeating patters that occur within our lifestyles at different frequencies including daily, weekly, seasonal, etc. Focusing on the 24 hour cycle, we calculate the strength of the 24-hour periodicity at 24-hour intervals over an extended period of a lifelog. Changes in this strength of the 24-hour cycle can illustrate changes or shifts in underlying human behavior. We have performed this analysis on several lifelog datasets of durations from several weeks to almost a decade, from recordings of training distances to sleep data. In this paper we use 24 hour accelerometer data to illustrate the technique, showing how changes in human behavior can be identified.
Collections Ireland -> Dublin City University -> Subject = Mathematics
Ireland -> Dublin City University -> Status = Submitted
Ireland -> Dublin City University -> Subject = Engineering: Signal processing
Ireland -> Dublin City University -> Subject = Mathematics: Applied Mathematics
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
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 -> Subject = Computer Science: Lifelog
Ireland -> Dublin City University -> Subject = Computer Science: Algorithms
Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing

Full list of authors on original publication

Matthew P. Buman, Eamonn Newman, Alan F. Smeaton, Feiyan Hu

Experts in our system

1
Eamonn Newman
Dublin City University
Total Publications: 28
 
2
Alan F. Smeaton
Dublin City University
Total Publications: 492
 
3
Feiyan Hu
Dublin City University
Total Publications: 16