Wi-Fi based occupancy estimation in indoor environment

Due to the Covid-19 pandemics in past years, the number of people in a given space has been restricted. Even though with the trace together app, we are still unable to determine the correct number of people in a given space as some of us either forgot to sign out when leaving or just simply didn’t w...

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Main Author: Lee, Seng Ngee
Other Authors: Xie Lihua
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
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Online Access:https://hdl.handle.net/10356/158183
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1581832023-07-07T19:28:34Z Wi-Fi based occupancy estimation in indoor environment Lee, Seng Ngee Xie Lihua School of Electrical and Electronic Engineering ELHXIE@ntu.edu.sg Engineering::Electrical and electronic engineering::Wireless communication systems Due to the Covid-19 pandemics in past years, the number of people in a given space has been restricted. Even though with the trace together app, we are still unable to determine the correct number of people in a given space as some of us either forgot to sign out when leaving or just simply didn’t want to sign out. Due to the growth of mobile phone usage and the technological advancement of Wi-Fi, all age groups have since stated to use their mobile phone more often to surf the internet compared to a decade ago. Therefore, with the increase in usage of mobile phones, there will also be an increase in usage of Wi-Fi in offices or at homes due to the cost of mobile data, which is way higher. Thus, Wi-Fi has unknowingly become one of our daily necessity. Hence, a proposal of automation for estimation of the total number of people and individual identity and location has been proposed to times, be it due to the pandemic or non-pandemic for an event, in office or in school. With this technology, it will allow management, tracking or recording of the total number of people in a given space as well as tracking the location of each and every individual easily. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-27T05:35:46Z 2022-05-27T05:35:46Z 2022 Final Year Project (FYP) Lee, S. N. (2022). Wi-Fi based occupancy estimation in indoor environment. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158183 https://hdl.handle.net/10356/158183 en A1192-211 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::Wireless communication systems
spellingShingle Engineering::Electrical and electronic engineering::Wireless communication systems
Lee, Seng Ngee
Wi-Fi based occupancy estimation in indoor environment
description Due to the Covid-19 pandemics in past years, the number of people in a given space has been restricted. Even though with the trace together app, we are still unable to determine the correct number of people in a given space as some of us either forgot to sign out when leaving or just simply didn’t want to sign out. Due to the growth of mobile phone usage and the technological advancement of Wi-Fi, all age groups have since stated to use their mobile phone more often to surf the internet compared to a decade ago. Therefore, with the increase in usage of mobile phones, there will also be an increase in usage of Wi-Fi in offices or at homes due to the cost of mobile data, which is way higher. Thus, Wi-Fi has unknowingly become one of our daily necessity. Hence, a proposal of automation for estimation of the total number of people and individual identity and location has been proposed to times, be it due to the pandemic or non-pandemic for an event, in office or in school. With this technology, it will allow management, tracking or recording of the total number of people in a given space as well as tracking the location of each and every individual easily.
author2 Xie Lihua
author_facet Xie Lihua
Lee, Seng Ngee
format Final Year Project
author Lee, Seng Ngee
author_sort Lee, Seng Ngee
title Wi-Fi based occupancy estimation in indoor environment
title_short Wi-Fi based occupancy estimation in indoor environment
title_full Wi-Fi based occupancy estimation in indoor environment
title_fullStr Wi-Fi based occupancy estimation in indoor environment
title_full_unstemmed Wi-Fi based occupancy estimation in indoor environment
title_sort wi-fi based occupancy estimation in indoor environment
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/158183
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