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...

Full description

Saved in:
Bibliographic Details
Main Author: Qi, Yongbin
Other Authors: Soh Cheong Boon
Format: Theses and Dissertations
Language:English
Published: 2015
Subjects:
Online Access:https://hdl.handle.net/10356/65461
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-65461
record_format dspace
spelling 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
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation
Qi, Yongbin
Wearable human motion tracking and analysis system based on wireless sensor network
description 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.
author2 Soh Cheong Boon
author_facet 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