School of Computing, Dublin City University, Ireland

MODELLING & SCIENTIFIC COMPUTING


  
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Research:    Social Systems // Environmental and Transport // Financial and Socioeconomic Modelling // Assisted Living // Biocomputation // Data Science
  

   

Social Systems:
Assisted Living & Lifelogging Modelling

SenseCam is an effective memory-aid device that can automatically record images and other data from the wearer's whole day. The main issue is that, while SenseCam produces a sizeable collection of images over the time period, the vast quantity of captured data contains a large percentage of routine events, which are of little interest to review.
Our aim is to detect "Significant Events" for the wearers. We use several time series analysis methods such as Detrended Fluctuation Analysis (DFA), Eigenvalue dynamics and Wavelet Correlations to analyse the multiple time series generated by the SenseCam. We show that Detrended Fluctuation Analysis exposes a strong long-range correlation relationship in SenseCam collections.
Maximum Overlap Discrete Wavelet Transform (MODWT) was used to calculate equal-time Correlation Matrices over different time scales and then explore the granularity of the largest eigenvalue and changes of the ratio of the sub-dominant eigenvalue spectrum dynamics over sliding time windows. By examination of the eigenspectrum, we show that these approaches enable detection of major events in the time SenseCam recording, with MODWT also providing useful insight on details of major events. We suggest that some wavelet scales (e.g. 8 minutes - 16 minutes) have the potential to identify distinct events or activities.

Selected Group Publications:

  • Li, N., Crane, M., Ruskin, H.J. and Gurrin, C., Application of Statistical Physics for the Identification of Important Events in Visual Liflogs, In Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shanghai, China, 18th-21th December 2013, pp. 589 - 592.

  • Li, N., Crane, M. and Ruskin, H.J. 2013. Automatically Detecting Significant Events on SenseCam, International Journal of Wavelets Multiresolution and Information Processin, Vol. 11, No. 6 (2013) 1350050.

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    Image: SenseCam




    Image: Example of SenseCam Images

    Researchers: Heather J. Ruskin, Martin Crane, Na Li


       

    Contact: +353 1 700 6747 / modsci@computing.dcu.ie