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Challenges in ubiquitous context recognition with personal mobile devices

Authors:

Wolfgang Apolinarski,

Pedro José MarrónAuthors Info & Claims

CASEMANS '10: Proceedings of the 4th ACM International Workshop on Context-Awareness for Self-Managing Systems

Article No.: 6, Pages 40 - 45

https://doi.org/10.1145/1858367.1858373

Published: 26 September 2010 Publication History

Abstract

Ubiquitous computing applications are required to provide distraction-free task support by reacting on different context characteristics. With the wide-spread use of personal mobile devices, many users are in possession of a powerful platform for context recognition. This, in theory, should allow the recognition of a number of characteristics which a user experiences during the course of daily routine. However, in order to be suitable for personal mobile devices, existing systems are considering a small and static set of characteristics for a particular application. This enables the developers to manually optimize their systems. Yet, it limits the applicability of the systems to narrowly defined scenarios. We argue that context recognition systems must take heterogeneity into account in order to be practically applicable to ubiquitous computing on a large scale. Specifically, future systems must find ways to accommodate the heterogeneity of tasks and users which results in three novel research challenges, namely the dynamic integration, privacy-preserving cooperation and automatic personalization of context recognition systems. In this paper, we motivate these challenges and outline ways to address them.

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Cited By

Beltrán-Márquez JChávez EFavela J(2012)Environmental sound recognition by measuring significant changes in the spectral entropyProceedings of the 4th Mexican conference on Pattern Recognition10.1007/978-3-642-31149-9_34(334-343)Online publication date: 27-Jun-2012
https://dl.acm.org/doi/10.1007/978-3-642-31149-9_34

Index Terms

Challenges in ubiquitous context recognition with personal mobile devices
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Software architectures

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cover image ACM Other conferences

CASEMANS '10: Proceedings of the 4th ACM International Workshop on Context-Awareness for Self-Managing Systems

September 2010

76 pages

ISBN:9781450302135

DOI:10.1145/1858367

Conference Chairs:
Francois Siewe
De Monfort University, UK
,
Noriaki Kuwahara
Kyoto Institute of Technology, Japan
,
Waltenegus Dargie
Technical University of Dresden, Germany

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 September 2010

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CASEMANS '10

CASEMANS '10: 4th ACM International Workshop on Context-Awareness for Self-Managing Systems

September 26, 2010

Copenhagen, Denmark

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Cited By

Beltrán-Márquez JChávez EFavela J(2012)Environmental sound recognition by measuring significant changes in the spectral entropyProceedings of the 4th Mexican conference on Pattern Recognition10.1007/978-3-642-31149-9_34(334-343)Online publication date: 27-Jun-2012
https://dl.acm.org/doi/10.1007/978-3-642-31149-9_34

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