Indoor positioning for autonomous hospital bed

This FYP project explores the possibility of using BLE for localisation of autonomous hospital beds (AHB). An indoor positioning system (IPS) was developed based on BLE Fingerprint method and experiments were conducted to find out the best suited configuration for the application. An optimal balance...

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Main Author: Koh, Yu Xiang
Other Authors: Li King Ho Holden
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/140245
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1402452023-03-04T20:00:31Z Indoor positioning for autonomous hospital bed Koh, Yu Xiang Li King Ho Holden School of Mechanical and Aerospace Engineering holdenli@ntu.edu.sg Engineering::Mechanical engineering::Mechatronics This FYP project explores the possibility of using BLE for localisation of autonomous hospital beds (AHB). An indoor positioning system (IPS) was developed based on BLE Fingerprint method and experiments were conducted to find out the best suited configuration for the application. An optimal balance between cost and accuracy is found after rounds of experiments and analysis. The optimal system setup has beacons spaced two meters apart and the Fingerprint Server uses Kalman Filter in conjunction with Fingerprint Scoring Type 3 (a comparison algorithm developed in this project) to match fingerprints and return an estimated location to medical staff. With the optimal system implemented, the system provides a stable reading with accuracy of 2.3m with 99.7% confidence. While the bed is moving at speed of 0.75m/s, there is poor localisation accuracy of 10m. However, medical staff can expect the localisation to have a stabilisation time of 5 seconds—time for location readings to reach ±1m of the actual location and attain the static accuracy of 2.3m with 99.7%. Bachelor of Engineering (Mechanical Engineering) 2020-05-27T08:33:44Z 2020-05-27T08:33:44Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/140245 en C075 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::Mechanical engineering::Mechatronics
spellingShingle Engineering::Mechanical engineering::Mechatronics
Koh, Yu Xiang
Indoor positioning for autonomous hospital bed
description This FYP project explores the possibility of using BLE for localisation of autonomous hospital beds (AHB). An indoor positioning system (IPS) was developed based on BLE Fingerprint method and experiments were conducted to find out the best suited configuration for the application. An optimal balance between cost and accuracy is found after rounds of experiments and analysis. The optimal system setup has beacons spaced two meters apart and the Fingerprint Server uses Kalman Filter in conjunction with Fingerprint Scoring Type 3 (a comparison algorithm developed in this project) to match fingerprints and return an estimated location to medical staff. With the optimal system implemented, the system provides a stable reading with accuracy of 2.3m with 99.7% confidence. While the bed is moving at speed of 0.75m/s, there is poor localisation accuracy of 10m. However, medical staff can expect the localisation to have a stabilisation time of 5 seconds—time for location readings to reach ±1m of the actual location and attain the static accuracy of 2.3m with 99.7%.
author2 Li King Ho Holden
author_facet Li King Ho Holden
Koh, Yu Xiang
format Final Year Project
author Koh, Yu Xiang
author_sort Koh, Yu Xiang
title Indoor positioning for autonomous hospital bed
title_short Indoor positioning for autonomous hospital bed
title_full Indoor positioning for autonomous hospital bed
title_fullStr Indoor positioning for autonomous hospital bed
title_full_unstemmed Indoor positioning for autonomous hospital bed
title_sort indoor positioning for autonomous hospital bed
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/140245
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