A new plantar surface reference system for pressure study
Paper
Paper/Presentation Title | A new plantar surface reference system for pressure study |
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Presentation Type | Paper |
Authors | |
Author | Chong, Albert K. |
Editors | Falco, Charles M. and Jiang, Xudong |
Journal or Proceedings Title | Proceedings of SPIE: 8th International Conference on Digital Image Processing (ICDIP 2016) |
Journal Citation | 10033 (1) |
Number of Pages | 5 |
Year | 2016 |
Place of Publication | Bellingham, Washington, United States |
ISBN | 9781510605039 |
9781510605046 | |
Web Address (URL) of Paper | http://proceedings.spiedigitallibrary.org/volume.aspx?conferenceid=3662&volumeid=17734 |
Conference/Event | 8th International Conference on Digital Image Processing (ICDIP 2016) |
Event Details | 8th International Conference on Digital Image Processing (ICDIP 2016) Event Date 20 to end of 23 May 2016 Event Location Chengu, China |
Abstract | A new plantar surface reference system was developed for the investigation of walking characteristic based on plantar pressure. The research involved the recording, image-processing and analysis of signalised plantar pressure video clip of trial of 15 adults who performed a short gait on a custom-built walking access-ramp of comfortable inclination. A plantar TekScan pressure sensing system was placed on the ramp to capture the pressure video clip. Custom-designed soft-rubber targets were affixed to the medial foot axis before the trial. The video clips were processed to obtain the position of the new plantar surface reference system by locating the imprint or signature of the targets in the video frames. Pressure data were extracted from the video frames. The pressure data consisted of plantar-time-integral and peak pressure of four plantar regions. The results showed that the difference in the pressure data was statistically significant at the forefoot region between ascending and descending ramp-walking. Based on the limited number of older adults recruited in the trail, findings shows that they are more predisposed to accidental fall while executing a descending walk. |
Keywords | image processing, sensing systems, video, plantar |
ANZSRC Field of Research 2020 | 420701. Biomechanics |
Public Notes | Copyright © 2016, Society of Photo-Optical Instrumentation Engineers. |
Byline Affiliations | School of Civil Engineering and Surveying |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q3q5z/a-new-plantar-surface-reference-system-for-pressure-study
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