Intelligent elderly care

With the increasing ageing population around the world and elderlies living independently, there is a need for remote monitoring and alert system for the elderly with Dementia. It has been predicted that the number of people aged 60 and over will suffer from Dementia and will continue to rise...

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Bibliographic Details
Main Author: Soon, Gerald Wei Sheng
Other Authors: Lee Peng Hin
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157831
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1578312023-07-07T19:04:31Z Intelligent elderly care Soon, Gerald Wei Sheng Lee Peng Hin School of Electrical and Electronic Engineering EPHLEE@ntu.edu.sg Engineering::Electrical and electronic engineering::Applications of electronics With the increasing ageing population around the world and elderlies living independently, there is a need for remote monitoring and alert system for the elderly with Dementia. It has been predicted that the number of people aged 60 and over will suffer from Dementia and will continue to rise significantly. Thus, there is a need to find innovative technological devices to assist caregivers who might not be living with the elderly. Furthermore, family members often restrict these elderly from leaving the house to prevent them from getting lost or injured. However, this imposes a greater issue on their mental health and may even lead to depression. Thus, this project aims to create an intelligent GPS tracking and monitoring system with other features such as a fall detector and a camera function which can be controlled remotely via Telegram Bot. The Intelligent Elderly Care hopes to improve the lives of these Dementia elderlies by using innovative technologies available. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-24T04:30:16Z 2022-05-24T04:30:16Z 2022 Final Year Project (FYP) Soon, G. W. S. (2022). Intelligent elderly care. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157831 https://hdl.handle.net/10356/157831 en A1075-211 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Applications of electronics
spellingShingle Engineering::Electrical and electronic engineering::Applications of electronics
Soon, Gerald Wei Sheng
Intelligent elderly care
description With the increasing ageing population around the world and elderlies living independently, there is a need for remote monitoring and alert system for the elderly with Dementia. It has been predicted that the number of people aged 60 and over will suffer from Dementia and will continue to rise significantly. Thus, there is a need to find innovative technological devices to assist caregivers who might not be living with the elderly. Furthermore, family members often restrict these elderly from leaving the house to prevent them from getting lost or injured. However, this imposes a greater issue on their mental health and may even lead to depression. Thus, this project aims to create an intelligent GPS tracking and monitoring system with other features such as a fall detector and a camera function which can be controlled remotely via Telegram Bot. The Intelligent Elderly Care hopes to improve the lives of these Dementia elderlies by using innovative technologies available.
author2 Lee Peng Hin
author_facet Lee Peng Hin
Soon, Gerald Wei Sheng
format Final Year Project
author Soon, Gerald Wei Sheng
author_sort Soon, Gerald Wei Sheng
title Intelligent elderly care
title_short Intelligent elderly care
title_full Intelligent elderly care
title_fullStr Intelligent elderly care
title_full_unstemmed Intelligent elderly care
title_sort intelligent elderly care
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/157831
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