Wearable human motion tracking and analysis system based on wireless sensor network
In this thesis, we first developed a wearable motion tracking system using ultra wideband (UWB) radios, and then a low-cost motion analysis system using wireless ultrasonic sensor network was proposed to overcome the limitations of UWB-based system. The first part of the thesis describes a new metho...
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sg-ntu-dr.10356-654612023-07-04T16:09:13Z Wearable human motion tracking and analysis system based on wireless sensor network Qi, Yongbin Soh Cheong Boon School of Electrical and Electronic Engineering BioMedical Engineering Research Centre DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation In this thesis, we first developed a wearable motion tracking system using ultra wideband (UWB) radios, and then a low-cost motion analysis system using wireless ultrasonic sensor network was proposed to overcome the limitations of UWB-based system. The first part of the thesis describes a new method for measuring and monitoring human body joint angles in sagittal plane, which uses wearable ultra wideband (UWB) transceivers mounted on body segments. However, it is difficult to sample the received signals in real time due to its large bandwidth of UWB pulse. This drove us to find some new ways to track human movement. At the second stage of our research, a wearable wireless ultrasonic sensor network was developed to measure the 3-dimensional foot trajectory during walking, and extract some spatial-temporal gait parameters for gait analysis. The proposed ultrasonic motion analysis system uses the wireless sensor network concept with all the mobile nodes communicating wirelessly with the coordinator, enabling patients to be monitored in an unrestrained environment. Based on the measured foot displacements, a methodology has been developed to extract spatial-temporal gait parameters including stride length, stride duration, etc. DOCTOR OF PHILOSOPHY (EEE) 2015-10-05T08:32:42Z 2015-10-05T08:32:42Z 2015 2015 Thesis Qi, Y. (2015). Wearable human motion tracking and analysis system based on wireless sensor network. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/65461 10.32657/10356/65461 en 181 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation Qi, Yongbin Wearable human motion tracking and analysis system based on wireless sensor network |
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In this thesis, we first developed a wearable motion tracking system using ultra wideband (UWB) radios, and then a low-cost motion analysis system using wireless ultrasonic sensor network was proposed to overcome the limitations of UWB-based system. The first part of the thesis describes a new method for measuring and monitoring human body joint angles in sagittal plane, which uses wearable ultra wideband (UWB) transceivers mounted on body segments. However, it is difficult to sample the received signals in real time due to its large bandwidth of UWB pulse. This drove us to find some new ways to track human movement. At the second stage of our research, a wearable wireless ultrasonic sensor network was developed to measure the 3-dimensional foot trajectory during walking, and extract some spatial-temporal gait parameters for gait analysis. The proposed ultrasonic motion analysis system uses the wireless sensor network concept with all the mobile nodes communicating wirelessly with the coordinator, enabling patients to be monitored in an unrestrained environment. Based on the measured foot displacements, a methodology has been developed to extract spatial-temporal gait parameters including stride length, stride duration, etc. |
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Soh Cheong Boon |
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Soh Cheong Boon Qi, Yongbin |
format |
Theses and Dissertations |
author |
Qi, Yongbin |
author_sort |
Qi, Yongbin |
title |
Wearable human motion tracking and analysis system based on wireless sensor network |
title_short |
Wearable human motion tracking and analysis system based on wireless sensor network |
title_full |
Wearable human motion tracking and analysis system based on wireless sensor network |
title_fullStr |
Wearable human motion tracking and analysis system based on wireless sensor network |
title_full_unstemmed |
Wearable human motion tracking and analysis system based on wireless sensor network |
title_sort |
wearable human motion tracking and analysis system based on wireless sensor network |
publishDate |
2015 |
url |
https://hdl.handle.net/10356/65461 |
_version_ |
1772826088569831424 |