Occupancy tracking in indoor environment
This project aims to gain more insight and understanding of occupancy estimation and tracking in an indoor environment through the use of a computationally light algorithm so that it can be implemented in smart phones. The objective of using computationally light algorithms is to allow for implement...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/149577 |
| _version_ | 1826125160190574592 |
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| author | Gouw, Sean Hao Gong |
| author2 | Soh Yeng Chai |
| author_facet | Soh Yeng Chai Gouw, Sean Hao Gong |
| author_sort | Gouw, Sean Hao Gong |
| collection | NTU |
| description | This project aims to gain more insight and understanding of occupancy estimation and tracking in an indoor environment through the use of a computationally light algorithm so that it can be implemented in smart phones. The objective of using computationally light algorithms is to allow for implementation in smart phones as the majority of the population own a smart phone. This is achieved by assessing wireless communication protocols and utilizing the most appropriate protocol based on the objectives of the project and on its compatibility with an Apple iPhone. Some of the wireless communication protocols that are present in Apple iPhones are Classic Bluetooth, Bluetooth Low Energy (BLE), Wi-Fi, Ultra- Wideband (UWB) and Global Positioning System (GPS). This project utilizes BLE and Received Signal Strength Indicator (RSSI) to achieve indoor localization on mobile phones, specifically the Apple iPhone X (10). |
| first_indexed | 2024-10-01T06:32:09Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/149577 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:32:09Z |
| publishDate | 2021 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1495772023-07-07T18:21:31Z Occupancy tracking in indoor environment Gouw, Sean Hao Gong Soh Yeng Chai School of Electrical and Electronic Engineering EYCSOH@ntu.edu.sg Engineering::Electrical and electronic engineering::Wireless communication systems This project aims to gain more insight and understanding of occupancy estimation and tracking in an indoor environment through the use of a computationally light algorithm so that it can be implemented in smart phones. The objective of using computationally light algorithms is to allow for implementation in smart phones as the majority of the population own a smart phone. This is achieved by assessing wireless communication protocols and utilizing the most appropriate protocol based on the objectives of the project and on its compatibility with an Apple iPhone. Some of the wireless communication protocols that are present in Apple iPhones are Classic Bluetooth, Bluetooth Low Energy (BLE), Wi-Fi, Ultra- Wideband (UWB) and Global Positioning System (GPS). This project utilizes BLE and Received Signal Strength Indicator (RSSI) to achieve indoor localization on mobile phones, specifically the Apple iPhone X (10). Bachelor of Engineering (Electrical and Electronic Engineering) 2021-06-04T08:01:01Z 2021-06-04T08:01:01Z 2021 Final Year Project (FYP) Gouw, S. H. G. (2021). Occupancy tracking in indoor environment. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149577 https://hdl.handle.net/10356/149577 en A1129-201 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering::Wireless communication systems Gouw, Sean Hao Gong Occupancy tracking in indoor environment |
| title | Occupancy tracking in indoor environment |
| title_full | Occupancy tracking in indoor environment |
| title_fullStr | Occupancy tracking in indoor environment |
| title_full_unstemmed | Occupancy tracking in indoor environment |
| title_short | Occupancy tracking in indoor environment |
| title_sort | occupancy tracking in indoor environment |
| topic | Engineering::Electrical and electronic engineering::Wireless communication systems |
| url | https://hdl.handle.net/10356/149577 |
| work_keys_str_mv | AT gouwseanhaogong occupancytrackinginindoorenvironment |