Automatic synchronization of markerless video and wearable sensors for walking assessment
© 2001-2012 IEEE. As walking assessment is commonly done through visual inspection, it is beneficial to make joint angle information available to the clinicians for better assessment. The main challenge is that the video camera and inertial sensor are usually two separate systems, and the recordings...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
2019
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| Online Access: | http://hdl.handle.net/20.500.11937/76309 |
| _version_ | 1848763664869359616 |
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| author | Han, Yi Chiew Wong, Kiing Ing Murray, Iain |
| author_facet | Han, Yi Chiew Wong, Kiing Ing Murray, Iain |
| author_sort | Han, Yi Chiew |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2001-2012 IEEE. As walking assessment is commonly done through visual inspection, it is beneficial to make joint angle information available to the clinicians for better assessment. The main challenge is that the video camera and inertial sensor are usually two separate systems, and the recordings are hard to be initialized at the same time manually. This creates a problem that the inertial sensor data is not temporally synchronized with the video camera. This paper proposes a method to synchronize the video and sensor data by detecting and matching the maximum backward swings of the leg. The proposed method is validated by blinking LED and transmitting LED flag to the computer at the same time. The synchronization error of the proposed method is low at about 0 ± 2 frames compared to the validation method. |
| first_indexed | 2025-11-14T11:07:04Z |
| format | Journal Article |
| id | curtin-20.500.11937-76309 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:07:04Z |
| publishDate | 2019 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-763092019-09-19T04:16:37Z Automatic synchronization of markerless video and wearable sensors for walking assessment Han, Yi Chiew Wong, Kiing Ing Murray, Iain © 2001-2012 IEEE. As walking assessment is commonly done through visual inspection, it is beneficial to make joint angle information available to the clinicians for better assessment. The main challenge is that the video camera and inertial sensor are usually two separate systems, and the recordings are hard to be initialized at the same time manually. This creates a problem that the inertial sensor data is not temporally synchronized with the video camera. This paper proposes a method to synchronize the video and sensor data by detecting and matching the maximum backward swings of the leg. The proposed method is validated by blinking LED and transmitting LED flag to the computer at the same time. The synchronization error of the proposed method is low at about 0 ± 2 frames compared to the validation method. 2019 Journal Article http://hdl.handle.net/20.500.11937/76309 10.1109/JSEN.2019.2916163 fulltext |
| spellingShingle | Han, Yi Chiew Wong, Kiing Ing Murray, Iain Automatic synchronization of markerless video and wearable sensors for walking assessment |
| title | Automatic synchronization of markerless video and wearable sensors for walking assessment |
| title_full | Automatic synchronization of markerless video and wearable sensors for walking assessment |
| title_fullStr | Automatic synchronization of markerless video and wearable sensors for walking assessment |
| title_full_unstemmed | Automatic synchronization of markerless video and wearable sensors for walking assessment |
| title_short | Automatic synchronization of markerless video and wearable sensors for walking assessment |
| title_sort | automatic synchronization of markerless video and wearable sensors for walking assessment |
| url | http://hdl.handle.net/20.500.11937/76309 |