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...
Main Authors: | , , , , |
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Format: | Conference or Workshop Item |
Language: | English English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2018
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Subjects: | |
Online Access: | 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 |
Summary: | 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. |
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