An implementation of auditory context recognition for mobile devices

Author(s)
Van Kleek, Max G.; Perttunen, Mikko; Lassila, Ora; Riekki, Jukka
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Abstract
Auditory contexts are recognized from mixtures of sounds from mobile userspsila everyday environments. We describe our implementation of auditory context recognition for mobile devices. In our system we use a set of support vector machine classifiers to implement the recognizer. Moreover, static and runtime resource consumption of the system are measured and reported.
Date issued
2009-06
URI
http://hdl.handle.net/1721.1/60225
Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Journal
Tenth International Conference on Mobile Data Management: Systems, Services and Middleware, 2009. MDM '09
Publisher
Institute of Electrical and Electronics Engineers
Citation
Perttunen, M. et al. “An Implementation of Auditory Context Recognition for Mobile Devices.” Mobile Data Management: Systems, Services and Middleware, 2009. MDM '09. Tenth International Conference on. 2009. 424-429. © 2009 IEEE.
Version: Final published version
Other identifiers
INSPEC Accession Number: 10720482
ISBN
978-1-4244-4153-2
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