Transforming human gait for signature signals characterization

An integrated wireless inductive sensor is reported based on a system for monitoring human movement and body size. The proposed system senses the presence of human beings using electromagnetic field by making use of basic inductive coupling approach, hence analysing the performance of human monitori...

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Main Authors:	Atika, Arshad, Ismail, Ahmad Fadzil, Khan, Sheroz, Alam, A. H. M. Zahirul
Format:	Article
Language:	English
Published:	2013
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/35656/ http://irep.iium.edu.my/35656/ http://irep.iium.edu.my/35656/ http://irep.iium.edu.my/35656/1/Transforming_human_gait_for_signature_signals_characterization.pdf

id	iium-35656
recordtype	eprints
spelling	iium-356562014-02-27T04:02:10Z http://irep.iium.edu.my/35656/ Transforming human gait for signature signals characterization Atika, Arshad Ismail, Ahmad Fadzil Khan, Sheroz Alam, A. H. M. Zahirul T Technology (General) An integrated wireless inductive sensor is reported based on a system for monitoring human movement and body size. The proposed system senses the presence of human beings using electromagnetic field by making use of basic inductive coupling approach, hence analysing the performance of human monitoring. The amalgamation of the integrated system proposed will help in providing better services to the elderly people resided in healthcare centres. The developed sensing system is of low cost, flexible, robust, and easily implantable and capable of inductive sensing through marking signature waveforms as a result of human movements. 2013 Article PeerReviewed application/pdf en http://irep.iium.edu.my/35656/1/Transforming_human_gait_for_signature_signals_characterization.pdf Atika, Arshad and Ismail, Ahmad Fadzil and Khan, Sheroz and Alam, A. H. M. Zahirul (2013) Transforming human gait for signature signals characterization. Materials Science and Engineering, 53. pp. 1-7. http://iopscience.iop.org/1757-899X doi:10.1088/1757-899X/53/1/012031
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Atika, Arshad Ismail, Ahmad Fadzil Khan, Sheroz Alam, A. H. M. Zahirul Transforming human gait for signature signals characterization
description	An integrated wireless inductive sensor is reported based on a system for monitoring human movement and body size. The proposed system senses the presence of human beings using electromagnetic field by making use of basic inductive coupling approach, hence analysing the performance of human monitoring. The amalgamation of the integrated system proposed will help in providing better services to the elderly people resided in healthcare centres. The developed sensing system is of low cost, flexible, robust, and easily implantable and capable of inductive sensing through marking signature waveforms as a result of human movements.
format	Article
author	Atika, Arshad Ismail, Ahmad Fadzil Khan, Sheroz Alam, A. H. M. Zahirul
author_facet	Atika, Arshad Ismail, Ahmad Fadzil Khan, Sheroz Alam, A. H. M. Zahirul
author_sort	Atika, Arshad
title	Transforming human gait for signature signals characterization
title_short	Transforming human gait for signature signals characterization
title_full	Transforming human gait for signature signals characterization
title_fullStr	Transforming human gait for signature signals characterization
title_full_unstemmed	Transforming human gait for signature signals characterization
title_sort	transforming human gait for signature signals characterization
publishDate	2013
url	http://irep.iium.edu.my/35656/ http://irep.iium.edu.my/35656/ http://irep.iium.edu.my/35656/ http://irep.iium.edu.my/35656/1/Transforming_human_gait_for_signature_signals_characterization.pdf
first_indexed	2023-09-18T20:51:06Z
last_indexed	2023-09-18T20:51:06Z
_version_	1777409999698395136

Transforming human gait for signature signals characterization

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