Person identification by gait analysis using photogrammetry techniques and foot pressure sensing matt
Paper
Paper/Presentation Title | Person identification by gait analysis using photogrammetry techniques and foot pressure sensing matt |
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Presentation Type | Paper |
Authors | Majeed, Ammar (Author), Chong, Albert K. (Author) and Abdulla, Shahab (Author) |
Editors | Al-Jumaily, Adel Ali, Barifcani, Ahmed and Al-Jumaily, Ahmed |
Journal or Proceedings Title | Proceedings of the 1st MoHESR and HCED Iraqi Scholars Conference in Australasia 2017 (ISCA 2017) |
Number of Pages | 7 |
Year | 2017 |
Place of Publication | Melbourne, Australia |
ISBN | 9781925761016 |
Web Address (URL) of Paper | http://www.iraqischolars-isca2017.org/proceedings.php |
Conference/Event | 1st MoHESR and HCED Iraqi Scholars Conference in Australasia 2017 (ISCA 2017) |
Event Details | 1st MoHESR and HCED Iraqi Scholars Conference in Australasia 2017 (ISCA 2017) Event Date 05 to end of 06 Dec 2017 Event Location Melbourne, Australia |
Abstract | A new technique is proposed in this research to help finding more secure environment and to identify the person through the gait pattern using photogrammetry and foot pressure sensing device. The approach proposed is to place 4 digital high-resolution video cameras around the entrance of a building and place the foot pressure sensing mat underneath the entrance carpet. The results pointed out that the knee to ground distances among the all three subjects performed in this study in all three portions of the gait was highly similar among the three tests for each subject themselves and was highly variable between each one of them. For subject 1 the difference in all three portions for three tests was approximately 1mm.This result is better than 6mm in average that obtained by [1]. In This research showed the new close photogrammetry system has identified the distances among the individuals with high accuracy which provided a set of data showed the difference mong each person. |
Keywords | photogrammetry, foot pressure sensing matt, forensic, gait analysis, Australis |
ANZSRC Field of Research 2020 | 400599. Civil engineering not elsewhere classified |
Public Notes | Copyright © 2017 Swinburne University of Technology. |
Byline Affiliations | University of Baghdad, Iraq |
School of Civil Engineering and Surveying | |
Open Access College | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q48x3/person-identification-by-gait-analysis-using-photogrammetry-techniques-and-foot-pressure-sensing-matt
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