Motion monitoring system for the elderly

Falls are the leading cause of unintentional death amongst the elderly. With an increasing percentage of elderly living alone in their own homes, it is necessary to introduce measures that prevent falls from going unnoticed for a prolonged period of time. In this Final Year Project (FYP), a fall det...

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Main Author: Lim, Sylvia
Other Authors: Wong Kin Shun, Terence
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/74883
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-748832023-07-07T17:34:50Z Motion monitoring system for the elderly Lim, Sylvia Wong Kin Shun, Terence School of Electrical and Electronic Engineering DRNTU::Engineering Falls are the leading cause of unintentional death amongst the elderly. With an increasing percentage of elderly living alone in their own homes, it is necessary to introduce measures that prevent falls from going unnoticed for a prolonged period of time. In this Final Year Project (FYP), a fall detection device will be designed using Raspberry Pi. It will detect the motion of the user using accelerometer and gyroscope. On top of the device designing, analysis and comparisons of the difference in parameters between certain common daily activities and falls will be carried out. This is to reduce the number of false alarms being sent out by the device. Being programmed on the Raspberry Pi also suggests the many possible extensions of this device since it is capable of running various Python scripts concurrently to achieve several objectives. Bachelor of Engineering 2018-05-24T07:53:05Z 2018-05-24T07:53:05Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74883 en Nanyang Technological University 86 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Lim, Sylvia
Motion monitoring system for the elderly
description Falls are the leading cause of unintentional death amongst the elderly. With an increasing percentage of elderly living alone in their own homes, it is necessary to introduce measures that prevent falls from going unnoticed for a prolonged period of time. In this Final Year Project (FYP), a fall detection device will be designed using Raspberry Pi. It will detect the motion of the user using accelerometer and gyroscope. On top of the device designing, analysis and comparisons of the difference in parameters between certain common daily activities and falls will be carried out. This is to reduce the number of false alarms being sent out by the device. Being programmed on the Raspberry Pi also suggests the many possible extensions of this device since it is capable of running various Python scripts concurrently to achieve several objectives.
author2 Wong Kin Shun, Terence
author_facet Wong Kin Shun, Terence
Lim, Sylvia
format Final Year Project
author Lim, Sylvia
author_sort Lim, Sylvia
title Motion monitoring system for the elderly
title_short Motion monitoring system for the elderly
title_full Motion monitoring system for the elderly
title_fullStr Motion monitoring system for the elderly
title_full_unstemmed Motion monitoring system for the elderly
title_sort motion monitoring system for the elderly
publishDate 2018
url http://hdl.handle.net/10356/74883
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