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A Survey on Smartphone-based Systems for Opportunistic User Context Recognition

Hoseinitabatabaei, SA, gluhak, R and tafazolli, R (2013) A Survey on Smartphone-based Systems for Opportunistic User Context Recognition ACM Computing Surveys.

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Abstract

The ever-growing computation and storage capability of mobile phones have given rise to mobile-centric context recognition systems, which are able to sense and analyze the context of the carrier so as to provide an appropriate level of service. As nonintrusive autonomous sensing and context recognition are desirable characteristics of a personal sensing system; efforts have been made to develop opportunistic sensing techniques on mobile phones. The resulting combination of these approaches has ushered in a new realm of applications, namely opportunistic user context recognition with mobile phones. This article surveys the existing research and approaches towards realization of such systems. In doing so, the typical architecture of a mobile-centric user context recognition system as a sequential process of sensing, preprocessing, and context recognition phases is introduced. The main techniques used for the realization of the respective processes during these phases are described, and their strengths and limitations are highlighted. In addition, lessons learned from previous approaches are presented as motivation for future research. Finally, several open challenges are discussed as possible ways to extend the capabilities of current systems and improve their real-world experience.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
AuthorsEmailORCID
Hoseinitabatabaei, SAUNSPECIFIEDUNSPECIFIED
gluhak, RUNSPECIFIEDUNSPECIFIED
tafazolli, RUNSPECIFIEDUNSPECIFIED
Date : 29 June 2013
Identification Number : 10.1145/2480741.2480744
Additional Information : © ACM, 2013. This is the author’s version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Computing Surveys, {VOL 45, ISSN 0360-0300, 2013)} http://dx.doi.org./10.1145/2480741.2480744.
Depositing User : Symplectic Elements
Date Deposited : 01 Aug 2014 13:08
Last Modified : 30 Aug 2014 13:34
URI: http://epubs.surrey.ac.uk/id/eprint/805515

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