Person identification by gait analysis using photogrammetry techniques and foot pressure sensing matt

Majeed, Ammar and Chong, Albert K. and Abdulla, Shahab (2017) Person identification by gait analysis using photogrammetry techniques and foot pressure sensing matt. In: 1st MoHESR and HCED Iraqi Scholars Conference in Australasia 2017 (ISCA 2017), 5-6 Dec 2017, 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.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Copyright © 2017 Swinburne University of Technology.
Faculty / Department / School: Current - Open Access College
Date Deposited: 14 Feb 2018 06:04
Last Modified: 23 May 2018 02:06
Uncontrolled Keywords: photogrammetry, foot pressure sensing matt, forensic, gait analysis, Australis
Fields of Research : 09 Engineering > 0905 Civil Engineering > 090599 Civil Engineering not elsewhere classified
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
URI: http://eprints.usq.edu.au/id/eprint/33622

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