Intelligent Techniques Based RF Based Human Localization in Indoor Environment

Al-Jumaily, A; Ramadanny, BI

Intelligent Techniques Based RF Based Human Localization in Indoor Environment

Al-Jumaily, A

Ramadanny, BI

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Publisher:: River Publishers
Publication Type:: Chapter
Citation:: Advances in Broadband Communication and Networks, 2008, 1, pp. 387 - 404
Issue Date:: 2008-01

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Field	Value	Language
dc.contributor.author	Al-Jumaily, A https://orcid.org/0000-0003-0297-2463	en_US
dc.contributor.author	Ramadanny, BI	en_US
dc.contributor.editor	Agbinya, JI	en_US
dc.contributor.editor	Sevimli, O	en_US
dc.contributor.editor	Lal, S	en_US
dc.contributor.editor	Selvadurai, S	en_US
dc.contributor.editor	Al-Jumaily, A https://orcid.org/0000-0003-0297-2463	en_US
dc.contributor.editor	Li, Y	en_US
dc.contributor.editor	Reisenfeld, S	en_US
dc.date.issued	2008-01	en_US
dc.identifier.citation	Advances in Broadband Communication and Networks, 2008, 1, pp. 387 - 404	en_US
dc.identifier.isbn	978-87-92329-00-4	en_US
dc.identifier.uri	http://hdl.handle.net/10453/7860
dc.description.abstract	Localization of human in indoor environment is one of the impartment issues in many applications. Building such real time system became fea- sible recently because of the increasing availability of mobile comput- ing devices that can be utilised in human localisation systems. Various types of systems and technologies have been developed for human local- ization. This chapter investigates the use of the radio frequency signal strength information extracted from a pre-installed wireless network as a localiser sensor to locate a mobile (user) human in built environment. Intelligent techniques (fuzzy logic and neural networks) based on RF are used to estimate the mobile user location in indoor environment... The obtained results, of busy working indoor environment, are very encouraging.	en_US
dc.publisher	River Publishers	en_US
dc.relation.ispartof	Advances in Broadband Communication and Networks	en_US
dc.title	Intelligent Techniques Based RF Based Human Localization in Indoor Environment	en_US
dc.type	Chapter
utslib.location	Denmark	en_US
utslib.for	080109 Pattern Recognition and Data Mining	en_US
utslib.for	080108 Neural, Evolutionary and Fuzzy Computation	en_US
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
utslib.citation.edition	1	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.edition	1	en_US
pubs.place-of-publication	Denmark	en_US

Abstract:

Localization of human in indoor environment is one of the impartment issues in many applications. Building such real time system became fea- sible recently because of the increasing availability of mobile comput- ing devices that can be utilised in human localisation systems. Various types of systems and technologies have been developed for human local- ization. This chapter investigates the use of the radio frequency signal strength information extracted from a pre-installed wireless network as a localiser sensor to locate a mobile (user) human in built environment. Intelligent techniques (fuzzy logic and neural networks) based on RF are used to estimate the mobile user location in indoor environment... The obtained results, of busy working indoor environment, are very encouraging.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/7860