DocumentCode
2144415
Title
An Implementation of Auditory Context Recognition for Mobile Devices
Author
Perttunen, Mikko ; Van Kleek, M. ; Lassila, Ora ; Riekki, Jukka
Author_Institution
Dept. of Electr. & Inf. Eng., Univ. of Oulu, Oulu
fYear
2009
fDate
18-20 May 2009
Firstpage
424
Lastpage
429
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.
Keywords
mobile computing; pattern recognition; support vector machines; auditory context recognition; mobile device; runtime resource consumption; support vector machine classifier; Conference management; Context-aware services; Feature extraction; Kernel; Layout; Microphones; Mobile computing; Support vector machine classification; Support vector machines; Voting; classification; pattern recognition; pervasive computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Data Management: Systems, Services and Middleware, 2009. MDM '09. Tenth International Conference on
Conference_Location
Taipei
Print_ISBN
978-1-4244-4153-2
Electronic_ISBN
978-0-7695-3650-7
Type
conf
DOI
10.1109/MDM.2009.74
Filename
5088982
Link To Document