Environmental Noise Classification for Context-Aware Applications

Research output: Chapter in Book/Report/Conference proceedingChapter

27 Citations (Scopus)


Context-awareness is essential to the development of adaptive information systems. Much work has been done on developing technologies and systems that are aware of absolute location in space and time; other aspects of context have been relatively neglected. We describe our approach to automatically sensing and recognising environmental noise as a contextual cue for context-aware applications. Environmental noise provides much valuable information about a user’s current context. This paper describes an approach to classifying the noise context in the typical environments of our daily life, such as the office, car and city street. In this paper we present our hidden Markov model based noise classifier. We describe the architecture of our system, the experimental results, and discuss the open issues in environmental noise classification for mobile computing.
Original languageEnglish
Title of host publicationDatabase and Expert Systems Applications
EditorsVladimír Marík, Werner Retschitzegger, Olga Štepánková
PublisherSpringer Berlin / Heidelberg
Number of pages11
ISBN (Print)978-3-540-40806-2
Publication statusPublished - 2003
Event14th International Conference on Database and Expert Systems Applications - Prague, Czech Republic
Duration: 1 Sep 20035 Sep 2003

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin / Heidelberg


Conference14th International Conference on Database and Expert Systems Applications
Abbreviated titleDEXA 2003
Country/TerritoryCzech Republic

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