Real-time balance assessment using multimodal sensors

Gait is rhythmic and characterized by alternating propulsive and retropulsive motions of lower extremities. Gait phases include, stance phase (Heel Strike, Foot flat, Mid-stance, Heel Off, Toe Off) and swing phase (Acceleration, Mid-swing, Deceleration). The analysis of gait phases together with the...

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Main Author: Soh, Yu Jie
Other Authors: Chan Syin
Format: Final Year Project
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/66749
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-667492023-03-03T20:40:28Z Real-time balance assessment using multimodal sensors Soh, Yu Jie Chan Syin School of Computer Engineering A*STAR Institute for Infocomm Research (I2R) DRNTU::Engineering Gait is rhythmic and characterized by alternating propulsive and retropulsive motions of lower extremities. Gait phases include, stance phase (Heel Strike, Foot flat, Mid-stance, Heel Off, Toe Off) and swing phase (Acceleration, Mid-swing, Deceleration). The analysis of gait phases together with the gait parameters will help to understand a subject’s gait patterns and identify the abnormality while walking. Such gait assessment is usually done visually by therapists to interpret the quality of locomotion of subjects for identifying possible underlying pathologies. A good understanding of gait information could help to configure personalized rehabilitation regiment in order to prevent undesirable consequences of getting injuries from fall accidents. This project aims to provide a convenient, effective and affordable solution in performing gait assessment by patients. With the addition of infrared sensor, this project demostrates that the addition will provide in-depth, meaningful information to gait pattern analysis. Infrared sensor is an affordable sensor which can be purchased at a very low cost. Bachelor of Engineering (Computer Engineering) 2016-04-25T03:20:02Z 2016-04-25T03:20:02Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/66749 en Nanyang Technological University 44 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
Soh, Yu Jie
Real-time balance assessment using multimodal sensors
description Gait is rhythmic and characterized by alternating propulsive and retropulsive motions of lower extremities. Gait phases include, stance phase (Heel Strike, Foot flat, Mid-stance, Heel Off, Toe Off) and swing phase (Acceleration, Mid-swing, Deceleration). The analysis of gait phases together with the gait parameters will help to understand a subject’s gait patterns and identify the abnormality while walking. Such gait assessment is usually done visually by therapists to interpret the quality of locomotion of subjects for identifying possible underlying pathologies. A good understanding of gait information could help to configure personalized rehabilitation regiment in order to prevent undesirable consequences of getting injuries from fall accidents. This project aims to provide a convenient, effective and affordable solution in performing gait assessment by patients. With the addition of infrared sensor, this project demostrates that the addition will provide in-depth, meaningful information to gait pattern analysis. Infrared sensor is an affordable sensor which can be purchased at a very low cost.
author2 Chan Syin
author_facet Chan Syin
Soh, Yu Jie
format Final Year Project
author Soh, Yu Jie
author_sort Soh, Yu Jie
title Real-time balance assessment using multimodal sensors
title_short Real-time balance assessment using multimodal sensors
title_full Real-time balance assessment using multimodal sensors
title_fullStr Real-time balance assessment using multimodal sensors
title_full_unstemmed Real-time balance assessment using multimodal sensors
title_sort real-time balance assessment using multimodal sensors
publishDate 2016
url http://hdl.handle.net/10356/66749
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