Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network
The aim of this report is to investigate the effectiveness of the Wearable Ultrasonic Sensors Network in the gait analysis, which can be useful in rehabilitation process in the clinical setting. This report will talk about the findings and comparison between the high speed optical motion capture ana...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/78122 |
| _version_ | 1826124010244538368 |
|---|---|
| author | Lin, Eileen |
| author2 | Soh Cheong Boon |
| author_facet | Soh Cheong Boon Lin, Eileen |
| author_sort | Lin, Eileen |
| collection | NTU |
| description | The aim of this report is to investigate the effectiveness of the Wearable Ultrasonic Sensors Network in the gait analysis, which can be useful in rehabilitation process in the clinical setting. This report will talk about the findings and comparison between the high speed optical motion capture analysis system (current gold standard) and ultrasonic sensor (proposed system) to analyse the gait of the subject on the treadmill under different speed. For the Wearable Ultrasonic Sensors Network, Arduino will be used as the micro-controllers. For the Optical Motion Capture System Network, the Eagle camera and Cotex software will be used. The two set of data will be compared in the MATLAB for different temporal parameters of the gait such as the stance and swing time. |
| first_indexed | 2024-10-01T06:13:40Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/78122 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:13:40Z |
| publishDate | 2019 |
| record_format | dspace |
| spelling | ntu-10356/781222023-07-07T17:37:41Z Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network Lin, Eileen Soh Cheong Boon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics The aim of this report is to investigate the effectiveness of the Wearable Ultrasonic Sensors Network in the gait analysis, which can be useful in rehabilitation process in the clinical setting. This report will talk about the findings and comparison between the high speed optical motion capture analysis system (current gold standard) and ultrasonic sensor (proposed system) to analyse the gait of the subject on the treadmill under different speed. For the Wearable Ultrasonic Sensors Network, Arduino will be used as the micro-controllers. For the Optical Motion Capture System Network, the Eagle camera and Cotex software will be used. The two set of data will be compared in the MATLAB for different temporal parameters of the gait such as the stance and swing time. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-12T06:01:55Z 2019-06-12T06:01:55Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/78122 en Nanyang Technological University 49 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics Lin, Eileen Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network |
| title | Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network |
| title_full | Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network |
| title_fullStr | Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network |
| title_full_unstemmed | Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network |
| title_short | Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network |
| title_sort | human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics |
| url | http://hdl.handle.net/10356/78122 |
| work_keys_str_mv | AT lineileen humangaitsymmetryandcoordinationassessmentduringtreadmillwalkingusingwearableultrasonicsensorsnetwork |