Capacitive proximity floor sensing system for elderly tracking and fall detection
With the advent and progress of technology, care of senior individuals requires spontaneous and timely decisions to be made so that life protecting and saving therapy can be delivered promptly. Research shows that assistive technology can provide systems to aid in the prevention and detection of...
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Institute of Electrical and Electronics Engineers Inc.
2018
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iium-674962018-11-08T04:18:31Z http://irep.iium.edu.my/67496/ Capacitive proximity floor sensing system for elderly tracking and fall detection Arshad, Atika Khan, Sheroz Alam, A. H. M. Zahirul Ismail, Ahmad Fadzil Tasnim, Rumana TK Electrical engineering. Electronics Nuclear engineering TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering With the advent and progress of technology, care of senior individuals requires spontaneous and timely decisions to be made so that life protecting and saving therapy can be delivered promptly. Research shows that assistive technology can provide systems to aid in the prevention and detection of injuries to seniors, leading to a faster response from monitoring personnel. Falls make one of the major injuries caused to seniors whereby they are often unable to receive proper and timely support. This work reports the preliminary results on the development of a capacitive-based sensing system for monitoring of inhabitants living on their own in elderly homes. The tracking and fall monitoring of elderly is based on floor-sensing model equipped with an occupancy mechanism. To perceive and recognise the behavioural changes of an individual on daily basis, integrated sensors are designed and developed using capacitive proximity sensing approach. The weight of a person exerts a pressure on the sensor, indicating the occupancy of the sensor spot when a threshold value set for this purpose, is exceeded. To begin with, the occupancy sensing floors are equipped with sensors and later integrated into the environment, which aims at providing assistive service for continuous diagnosis of a person’s health, hence keeping track of an individual’s behavioural patterns. Institute of Electrical and Electronics Engineers Inc. 2018-03-09 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/67496/1/67496_Capacitive%20proximity%20floor%20sensing%20system_complete.pdf application/pdf en http://irep.iium.edu.my/67496/2/67496_Capacitive%20proximity%20floor%20sensing%20system_scopus.pdf Arshad, Atika and Khan, Sheroz and Alam, A. H. M. Zahirul and Ismail, Ahmad Fadzil and Tasnim, Rumana (2018) Capacitive proximity floor sensing system for elderly tracking and fall detection. In: 4th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2017, 28 - 30 November 2017, Putrajaya. https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8312002 10.1109/ICSIMA.2017.8312002 |
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topic |
TK Electrical engineering. Electronics Nuclear engineering TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering |
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TK Electrical engineering. Electronics Nuclear engineering TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering Arshad, Atika Khan, Sheroz Alam, A. H. M. Zahirul Ismail, Ahmad Fadzil Tasnim, Rumana Capacitive proximity floor sensing system for elderly tracking and fall detection |
description |
With the advent and progress of technology, care of
senior individuals requires spontaneous and timely decisions to
be made so that life protecting and saving therapy can be
delivered promptly. Research shows that assistive technology can
provide systems to aid in the prevention and detection of injuries
to seniors, leading to a faster response from monitoring
personnel. Falls make one of the major injuries caused to seniors
whereby they are often unable to receive proper and timely
support. This work reports the preliminary results on the
development of a capacitive-based sensing system for monitoring
of inhabitants living on their own in elderly homes. The tracking
and fall monitoring of elderly is based on floor-sensing model
equipped with an occupancy mechanism. To perceive and
recognise the behavioural changes of an individual on daily basis,
integrated sensors are designed and developed using capacitive
proximity sensing approach. The weight of a person exerts a
pressure on the sensor, indicating the occupancy of the sensor
spot when a threshold value set for this purpose, is exceeded. To
begin with, the occupancy sensing floors are equipped with
sensors and later integrated into the environment, which aims at
providing assistive service for continuous diagnosis of a person’s
health, hence keeping track of an individual’s behavioural
patterns. |
format |
Conference or Workshop Item |
author |
Arshad, Atika Khan, Sheroz Alam, A. H. M. Zahirul Ismail, Ahmad Fadzil Tasnim, Rumana |
author_facet |
Arshad, Atika Khan, Sheroz Alam, A. H. M. Zahirul Ismail, Ahmad Fadzil Tasnim, Rumana |
author_sort |
Arshad, Atika |
title |
Capacitive proximity floor sensing system for elderly tracking and fall detection |
title_short |
Capacitive proximity floor sensing system for elderly tracking and fall detection |
title_full |
Capacitive proximity floor sensing system for elderly tracking and fall detection |
title_fullStr |
Capacitive proximity floor sensing system for elderly tracking and fall detection |
title_full_unstemmed |
Capacitive proximity floor sensing system for elderly tracking and fall detection |
title_sort |
capacitive proximity floor sensing system for elderly tracking and fall detection |
publisher |
Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2018 |
url |
http://irep.iium.edu.my/67496/ http://irep.iium.edu.my/67496/ http://irep.iium.edu.my/67496/ http://irep.iium.edu.my/67496/1/67496_Capacitive%20proximity%20floor%20sensing%20system_complete.pdf http://irep.iium.edu.my/67496/2/67496_Capacitive%20proximity%20floor%20sensing%20system_scopus.pdf |
first_indexed |
2023-09-18T21:35:49Z |
last_indexed |
2023-09-18T21:35:49Z |
_version_ |
1777412812735250432 |