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
收藏
页码：424 / +
页数：2
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