Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network

This report investigates the effectiveness of a Wireless Network System using Ultrasonic Sensors in studying the human gait symmetry. Unscented Kalman Filter is being used to extract the gait parameters which is then validated against the results of a Motion Capture System. The system comprises of 2...

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Bibliographic Details
Main Author:	Ridzvan Iqbal
Other Authors:	Soh Cheong Boon
Format:	Final Year Project
Language:	English
Published:	2018
Subjects:	DRNTU::Engineering
Online Access:	http://hdl.handle.net/10356/75233
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Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-75233
record_format	dspace
spelling	sg-ntu-dr.10356-752332023-07-07T15:58:16Z Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network Ridzvan Iqbal Soh Cheong Boon School of Electrical and Electronic Engineering DRNTU::Engineering This report investigates the effectiveness of a Wireless Network System using Ultrasonic Sensors in studying the human gait symmetry. Unscented Kalman Filter is being used to extract the gait parameters which is then validated against the results of a Motion Capture System. The system comprises of 2 sets of Mobile Nodes which consist of an ultrasonic sensor each and 2 sets of Anchor Nodes which consist of 4 ultrasonic sensors each. The Anchor Nodes’ positions are prefixed known positions. Radio Frequency modules are used to synchronise the data transmission between the Mobile Nodes and the Anchor Nodes. The results from this study will assist in understanding if the proposed Wearable Ultrasonic Sensor Network is reliable for human gait analysis. Bachelor of Engineering 2018-05-30T05:07:59Z 2018-05-30T05:07:59Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75233 en Nanyang Technological University 47 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
spellingShingle	DRNTU::Engineering Ridzvan Iqbal Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network
description	This report investigates the effectiveness of a Wireless Network System using Ultrasonic Sensors in studying the human gait symmetry. Unscented Kalman Filter is being used to extract the gait parameters which is then validated against the results of a Motion Capture System. The system comprises of 2 sets of Mobile Nodes which consist of an ultrasonic sensor each and 2 sets of Anchor Nodes which consist of 4 ultrasonic sensors each. The Anchor Nodes’ positions are prefixed known positions. Radio Frequency modules are used to synchronise the data transmission between the Mobile Nodes and the Anchor Nodes. The results from this study will assist in understanding if the proposed Wearable Ultrasonic Sensor Network is reliable for human gait analysis.
author2	Soh Cheong Boon
author_facet	Soh Cheong Boon Ridzvan Iqbal
format	Final Year Project
author	Ridzvan Iqbal
author_sort	Ridzvan Iqbal
title	Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network
title_short	Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network
title_full	Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network
title_fullStr	Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network
title_full_unstemmed	Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network
title_sort	human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network
publishDate	2018
url	http://hdl.handle.net/10356/75233
_version_	1772827763474956288

Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network

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