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Visual experience for recognising human activities

Li, Na, Crane, Martin orcid logoORCID: 0000-0001-7598-3126 and Ruskin, Heather J. orcid logoORCID: 0000-0001-7101-2242 (2013) Visual experience for recognising human activities. In: International Competitions and Final Workshop, EvAAL 2012, July and September 2012. Communications in Computer and Information Science , 362 . Springer, Berlin Heidelberg, pp. 173-185. ISBN 978-3-642-37419-7

Technologies for Ambient Assisted Living (AAL) combine new Information and Communication Technologies (ICT) to improve and increase the quality of life of the elderly. The SenseCam visual lifelogging device is now used not only to support memory recall, but also by research groups in other fields in order to investigate human lifestyle. Recent and continuing work in Dublin City University's SCI-SYM centre has been an application and evaluation of a novel approach, namely use of the cross correlation matrix and Maximum Overlap Discrete Wavelet Transform (MODWT) to analyse SenseCam lifelog data streams. By examination of the eigenspectrum, we show that these approaches enable detection of key sources or major events in the time SenseCam recording,with MODWT also providing useful insight on details of major events.In this paper, we analyse the data collected from the EvAAL (Evaluating AAL System Through Competitive Benchmarking) competition.The results conrmed our previous findings [1,2]. We believe using this highlight key episodes to identify the boundaries can be used to develop automatic classifiers for visual lifelogs to infer different lifestyle characteristics.
Item Type:Book Section
Uncontrolled Keywords:Ambient Assisted Living; SenseCam; time series methods; EvAAL competition
Subjects:Computer Science > Lifelog
Physical Sciences > Statistical physics
DCU Faculties and Centres:Research Institutes and Centres > Scientific Computing and Complex Systems Modelling (Sci-Sym)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Official URL:https://doi.org/10.1007%2F978-3-642-37419-7_14#
Copyright Information:© 2013 Springer The original publication is available at www.springerlink.com
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:17849
Deposited On:21 May 2013 08:53 by Na LI . Last Modified 01 Mar 2022 14:11

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