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
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;
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
DOI :
10.1109/MDM.2009.74
