Analysis of human gait asymmetry using wearable ultrasonic sensors

This report proposes the analysis of a gait asymmetry system using wireless wearable ultrasonic sensors, which can be used in rehabilitation process. Gait asymmetry in elderly occurs in various medical and pathological conditions such as chronic stroke and Parkinson’s diseases. The proposed ultrason...

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Main Author: Zhao, Shan
Other Authors: Soh Cheong Boon
Format: Final Year Project
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/72034
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-720342023-07-07T15:53:45Z Analysis of human gait asymmetry using wearable ultrasonic sensors Zhao, Shan Soh Cheong Boon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering This report proposes the analysis of a gait asymmetry system using wireless wearable ultrasonic sensors, which can be used in rehabilitation process. Gait asymmetry in elderly occurs in various medical and pathological conditions such as chronic stroke and Parkinson’s diseases. The proposed ultrasonic system enables wireless communication between an ultrasound transmitter (mobile) and multiple receivers (anchors) placed at known positions. The gait movement was obtained from the mobile placed on the subject’s ankle by using spherical positioning technique. A controller (Arduino) was used in wireless communication between a personal computer (PC) and ultrasonic sensors in the gait asymmetry detection system. Walking experiments conducted with two healthy subjects at allowed us to observe the performance on gait asymmetry system. The results of experiment validated against a camera-based tracking system. These results proved that wearable ultrasonic sensor system will be working well in rehabilitations and sports. Bachelor of Engineering 2017-05-23T08:15:36Z 2017-05-23T08:15:36Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/72034 en Nanyang Technological University 51 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
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Zhao, Shan
Analysis of human gait asymmetry using wearable ultrasonic sensors
description This report proposes the analysis of a gait asymmetry system using wireless wearable ultrasonic sensors, which can be used in rehabilitation process. Gait asymmetry in elderly occurs in various medical and pathological conditions such as chronic stroke and Parkinson’s diseases. The proposed ultrasonic system enables wireless communication between an ultrasound transmitter (mobile) and multiple receivers (anchors) placed at known positions. The gait movement was obtained from the mobile placed on the subject’s ankle by using spherical positioning technique. A controller (Arduino) was used in wireless communication between a personal computer (PC) and ultrasonic sensors in the gait asymmetry detection system. Walking experiments conducted with two healthy subjects at allowed us to observe the performance on gait asymmetry system. The results of experiment validated against a camera-based tracking system. These results proved that wearable ultrasonic sensor system will be working well in rehabilitations and sports.
author2 Soh Cheong Boon
author_facet Soh Cheong Boon
Zhao, Shan
format Final Year Project
author Zhao, Shan
author_sort Zhao, Shan
title Analysis of human gait asymmetry using wearable ultrasonic sensors
title_short Analysis of human gait asymmetry using wearable ultrasonic sensors
title_full Analysis of human gait asymmetry using wearable ultrasonic sensors
title_fullStr Analysis of human gait asymmetry using wearable ultrasonic sensors
title_full_unstemmed Analysis of human gait asymmetry using wearable ultrasonic sensors
title_sort analysis of human gait asymmetry using wearable ultrasonic sensors
publishDate 2017
url http://hdl.handle.net/10356/72034
_version_ 1772826191563063296