DocumentCode :
3637951
Title :
Multimodal Identification of Journeys
Author :
Milan Redzi;Ciaran O. Conaire;Noel E. O´Connor;Conor Brennan
Author_Institution :
CLARITY: Centre for Sensor Web Technol., Dublin City Univ., Dublin, Ireland
fYear :
2010
Firstpage :
283
Lastpage :
287
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.
Keywords :
"Global Positioning System","Wireless LAN","Robustness","Accuracy","Training","Wireless communication","Lighting"
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Applications (DEXA), 2010 Workshop on
ISSN :
1529-4188
Print_ISBN :
978-1-4244-8049-4
Type :
conf
DOI :
10.1109/DEXA.2010.63
Filename :
5590745
Link To Document :
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