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
Full text available as:
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.
Archive Staff Only: edit this record