Lower extremity joint angles estimation during gait using ultrasonic sensor network

Current methods for gait analysis measurement and monitoring includes camera-based motion analysis system, liquid metal sensors etc. which is highly complex and expensive. Joint flexion and extension angles contributes in monitoring rehabilitation progress and identifying abnormal gait. This paper p...

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Main Author: Sharavana Thevan Pothiya Pillay
Other Authors: Soh Cheong Boon
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/75254
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-752542023-07-07T16:41:56Z Lower extremity joint angles estimation during gait using ultrasonic sensor network Sharavana Thevan Pothiya Pillay Soh Cheong Boon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems Current methods for gait analysis measurement and monitoring includes camera-based motion analysis system, liquid metal sensors etc. which is highly complex and expensive. Joint flexion and extension angles contributes in monitoring rehabilitation progress and identifying abnormal gait. This paper proposes a low cost, wearable wireless ultrasonic network-based measurement system using readily available components. It is portable, easy to use and unlike the current available system it does not involve complex calibration methods. The system comprises of two ultrasonic transmitter which is a mobile node attached to the subject (hip and ankle joints) and eight receivers, whose locations are known. The proposed ultrasonic measurement system performance was validated against a camera-based motion analysis system to provide a high ranging accuracy, in distance between the transmitters. Using laws of cosine, the joint angles are determined by the acquired distance dataset. The results achieved a root mean square error of 4.02 degrees. By demonstrating the accuracy of the system, it can be the start to further develop other composite system to evaluate and monitor joints. The system will not only be convenient to setup but also be useful in various applications of rehabilitation or sports. Bachelor of Engineering 2018-05-30T06:33:04Z 2018-05-30T06:33:04Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75254 en Nanyang Technological University 48 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::Wireless communication systems
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
Sharavana Thevan Pothiya Pillay
Lower extremity joint angles estimation during gait using ultrasonic sensor network
description Current methods for gait analysis measurement and monitoring includes camera-based motion analysis system, liquid metal sensors etc. which is highly complex and expensive. Joint flexion and extension angles contributes in monitoring rehabilitation progress and identifying abnormal gait. This paper proposes a low cost, wearable wireless ultrasonic network-based measurement system using readily available components. It is portable, easy to use and unlike the current available system it does not involve complex calibration methods. The system comprises of two ultrasonic transmitter which is a mobile node attached to the subject (hip and ankle joints) and eight receivers, whose locations are known. The proposed ultrasonic measurement system performance was validated against a camera-based motion analysis system to provide a high ranging accuracy, in distance between the transmitters. Using laws of cosine, the joint angles are determined by the acquired distance dataset. The results achieved a root mean square error of 4.02 degrees. By demonstrating the accuracy of the system, it can be the start to further develop other composite system to evaluate and monitor joints. The system will not only be convenient to setup but also be useful in various applications of rehabilitation or sports.
author2 Soh Cheong Boon
author_facet Soh Cheong Boon
Sharavana Thevan Pothiya Pillay
format Final Year Project
author Sharavana Thevan Pothiya Pillay
author_sort Sharavana Thevan Pothiya Pillay
title Lower extremity joint angles estimation during gait using ultrasonic sensor network
title_short Lower extremity joint angles estimation during gait using ultrasonic sensor network
title_full Lower extremity joint angles estimation during gait using ultrasonic sensor network
title_fullStr Lower extremity joint angles estimation during gait using ultrasonic sensor network
title_full_unstemmed Lower extremity joint angles estimation during gait using ultrasonic sensor network
title_sort lower extremity joint angles estimation during gait using ultrasonic sensor network
publishDate 2018
url http://hdl.handle.net/10356/75254
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