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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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 |
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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. |
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Chan Syin |
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Chan Syin Soh, Yu Jie |
format |
Final Year Project |
author |
Soh, Yu Jie |
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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 |
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Real-time balance assessment using multimodal sensors |
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Real-time balance assessment using multimodal sensors |
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real-time balance assessment using multimodal sensors |
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2016 |
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http://hdl.handle.net/10356/66749 |
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