Acoustic environment as an indicator of social and physical context

Smith, Dan J., Ma, Ling and Ryan, Nick (2005) Acoustic environment as an indicator of social and physical context. Personal and Ubiquitous Computing, 10 (4). pp. 241-254. ISSN 1617-4909

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Abstract

Acoustic environments provide many valuable cues for context-aware computing applications. From the acoustic environment we can infer the types of activity, communication modes and other actors involved in the activity. Environmental or background noise can be classified with a high degree of accuracy using recordings from microphones commonly found in PDAs and other consumer devices. We describe an acoustic environment recognition system incorporating an adaptive learning mechanism and its use in a noise tracker. We show how this information is exploited in a mobile context framework. To illustrate our approach we describe a context-aware multimodal weather forecasting service, which accepts spoken or written queries and presents forecast information in several forms, including email, voice and sign language

Item Type:	Article
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Smart Emerging Technologies
Depositing User:	Vishal Gautam
Date Deposited:	03 Mar 2011 12:10
Last Modified:	02 Mar 2023 10:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/22653
DOI:	10.1007/s00779-005-0045-4

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