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...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2016
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/66749 |
| _version_ | 1826121036746194944 |
|---|---|
| author | Soh, Yu Jie |
| author2 | Chan Syin |
| author_facet | Chan Syin Soh, Yu Jie |
| author_sort | Soh, Yu Jie |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T05:26:11Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/66749 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:26:11Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | ntu-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 |
| spellingShingle | DRNTU::Engineering Soh, Yu Jie Real-time balance assessment using multimodal sensors |
| title | 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_short | Real-time balance assessment using multimodal sensors |
| title_sort | real time balance assessment using multimodal sensors |
| topic | DRNTU::Engineering |
| url | http://hdl.handle.net/10356/66749 |
| work_keys_str_mv | AT sohyujie realtimebalanceassessmentusingmultimodalsensors |