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Multimodal identification of journeys

Redzic, Milan and Ó Conaire, Ciarán and Brennan, Conor and O'Connor, Noel E. (2010) Multimodal identification of journeys. In: IMPRESS 2010 - 1st International Workshop on Interactive Multimodal, Pattern Recognition in Embedded Systems in conjunction with DEXA 2010, 1 September 2010, Bilbao, Spain. ISBN 978-1-4244-8049-4

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Abstract

Due to the ubiquity of localisation technology, users now have the ability to keep a record of their own location, as a kind of ‘location diary’. Such a large collection of data can become unmanageable without some way to structure that data to make it useful and searchable. We address this problem of structuring location data by proposing a framework for classifying the data into often-traversed routes. In this work, commonly traversed routes are identified with clusters based on sensed data. Our framework does not rely on any one source of location information, but can fuse data from multimodal localisation sources. We demonstrate the effectiveness of our algorithm by examining the combination of GPS, wireless signal strength readings and image-matching on very challenging data in a variety of environmental conditions. By fusing these three modalities we obtained better performance than any individual or combination of two modalities. As it can be orientated towards the needs and capabilities of the user based on context, this method becomes useful for some ambient assisted living applications.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:multimodal data-fusion; GPS; WLAN; image matching; MDTW; SURF;
Subjects:Computer Science > Machine learning
Computer Science > Algorithms
Computer Science > Image processing
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Publisher:Institute of Electrical and Electronics Engineers
Official URL:http://dx.doi.org/10.1109/DEXA.2010.63
Copyright Information:©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Funders:Science Foundation Ireland
ID Code:15456
Deposited On:25 Nov 2010 16:39 by Hyowon Lee. Last Modified 11 May 2012 09:07

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