An Implementation of Auditory Context Recognition for Mobile Devices

被引：1

作者：

Perttunen, Mikko ^{[1
]}

Van Kleek, Max ^{[2
]}

Lassila, Ora ^{[3
]}

Riekki, Jukka ^{[1
]}

机构：

[1] Univ Oulu, Elect & Informat Engn Dept, Oulu, Finland

[2] MIT, Comp Sci & Artificial Intelligence Lab, Cambridge, MA USA

[3] Nokia Res Ctr Cambridge, Cambridge, MA USA

来源：

MDM: 2009 10TH INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT | 2009年

关键词：

pattern recognition; classification; pervasive computing;

D O I：

10.1109/MDM.2009.74

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Auditory contexts are recognized from mixtures of sounds from mobile users' 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.

引用

页码：424 / +

页数：2

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