An implementation of auditory context recognition for mobile devices
Name
Perttunen-2009-An implementation of auditory context recognition for mobile devices.pdf
Size
362.54 KB
Format
Adobe PDF
Checksum (MD5)
1e98c8d8a8fd2319ca7fb852ad0c8ee4
Author(s)
Van Kleek, Max G.
Perttunen, Mikko
Lassila, Ora
Riekki, Jukka
Date Issued
June 2009
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
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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/MDM.2009.74
