Automated person tracking using proximity capacitive sensors

A proliferating concern has been growing on the development of non-contact sensing and monitoring of human activities in health care sectors to avert accidents of elderly patients. Keeping in mind the limitations of the existing techniques, a novel sensing technique for human movement recognition ha...

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Main Authors:	Arshad, Atika, Khan, Sheroz, Alam, A. H. M. Zahirul, Tasnim, Rumana
Format:	Conference or Workshop Item
Language:	English English
Published:	2014
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/42297/ http://irep.iium.edu.my/42297/ http://irep.iium.edu.my/42297/1/ICSIMA_2014-atika-2.pdf http://irep.iium.edu.my/42297/4/42297_Automated%20person%20tracking%20using%20proximity_Scopus.pdf

id	iium-42297
recordtype	eprints
spelling	iium-422972017-09-20T09:36:12Z http://irep.iium.edu.my/42297/ Automated person tracking using proximity capacitive sensors Arshad, Atika Khan, Sheroz Alam, A. H. M. Zahirul Tasnim, Rumana TK Electrical engineering. Electronics Nuclear engineering A proliferating concern has been growing on the development of non-contact sensing and monitoring of human activities in health care sectors to avert accidents of elderly patients. Keeping in mind the limitations of the existing techniques, a novel sensing technique for human movement recognition has been proposed in this paper which uses capacitive proximity sensors. This paper works towards setting the stepping stone of implementing capacitive sensor for a living style profile through MATLAB simulation. The output response for various capacitance values is plotted here proving its utility for precise measurement of voltage which is proportional to the electrical properties of patient's body at the sensing elements of the sensor. The output values measures the phase shift as a depiction of human movement. With the presence of a human body near sensor, signal waveform rises at a certain frequency peak and the movement of human body away from the sensor shows otherwise. The preliminary simulation result obtains accurate phase shift variations at a point frequency which is fruitful in further studies and reaching the ultimate goal of person's movement and activity tracking. 2014-11 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/42297/1/ICSIMA_2014-atika-2.pdf application/pdf en http://irep.iium.edu.my/42297/4/42297_Automated%20person%20tracking%20using%20proximity_Scopus.pdf Arshad, Atika and Khan, Sheroz and Alam, A. H. M. Zahirul and Tasnim, Rumana (2014) Automated person tracking using proximity capacitive sensors. In: 2014 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), 25 November 2014, Kuala Lumpur, MAlaysia. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7047438&filter%3DAND%28p_IS_Number%3A7047414%29
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Arshad, Atika Khan, Sheroz Alam, A. H. M. Zahirul Tasnim, Rumana Automated person tracking using proximity capacitive sensors
description	A proliferating concern has been growing on the development of non-contact sensing and monitoring of human activities in health care sectors to avert accidents of elderly patients. Keeping in mind the limitations of the existing techniques, a novel sensing technique for human movement recognition has been proposed in this paper which uses capacitive proximity sensors. This paper works towards setting the stepping stone of implementing capacitive sensor for a living style profile through MATLAB simulation. The output response for various capacitance values is plotted here proving its utility for precise measurement of voltage which is proportional to the electrical properties of patient's body at the sensing elements of the sensor. The output values measures the phase shift as a depiction of human movement. With the presence of a human body near sensor, signal waveform rises at a certain frequency peak and the movement of human body away from the sensor shows otherwise. The preliminary simulation result obtains accurate phase shift variations at a point frequency which is fruitful in further studies and reaching the ultimate goal of person's movement and activity tracking.
format	Conference or Workshop Item
author	Arshad, Atika Khan, Sheroz Alam, A. H. M. Zahirul Tasnim, Rumana
author_facet	Arshad, Atika Khan, Sheroz Alam, A. H. M. Zahirul Tasnim, Rumana
author_sort	Arshad, Atika
title	Automated person tracking using proximity capacitive sensors
title_short	Automated person tracking using proximity capacitive sensors
title_full	Automated person tracking using proximity capacitive sensors
title_fullStr	Automated person tracking using proximity capacitive sensors
title_full_unstemmed	Automated person tracking using proximity capacitive sensors
title_sort	automated person tracking using proximity capacitive sensors
publishDate	2014
url	http://irep.iium.edu.my/42297/ http://irep.iium.edu.my/42297/ http://irep.iium.edu.my/42297/1/ICSIMA_2014-atika-2.pdf http://irep.iium.edu.my/42297/4/42297_Automated%20person%20tracking%20using%20proximity_Scopus.pdf
first_indexed	2023-09-18T21:00:19Z
last_indexed	2023-09-18T21:00:19Z
_version_	1777410579711918080

Automated person tracking using proximity capacitive sensors

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