An analysis on gait recognition of twins


Mohd Isa, Wan Noorshahida and Abdullah, Junaidi and Eswaran, Chikkannan and Ibrahim, Amalina (2015) An analysis on gait recognition of twins. ARPN Journal of Engineering and Applied Sciences, 10 (3). pp. 1210-1215. ISSN 1819-6608

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The aim of this paper is to investigate the viability to recognise an individual by gait where this individual is having a twin sibling where he/she is sharing similar facial features, hence may render a challenge to face recognition systems. To facilitate the investigation, supervised classification experiments are devised to compare the gait of both twins and non-twins siblings and additionally compare both of these with the inclusion of an early SOTON data set to synthesise a small population data set. An important component of this investigation is to firstly develop data sets consisting of twins and non-twins siblings, which are video-based data sets. After extraction of lower limbs kinematics signals from the videos, to learn the recognition viability performance, this paper performs classification with a leave-one-out cross validation on the data sets. The best correct classification rates using the proposed descriptor is 95%, 76%, 82%, and 74% respectively for data sets containing of only non-twins siblings, only twins, both non-twins and twins, and both non-twins and twins including SOTON data set.

Item Type: Article
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Computing and Informatics (FCI)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 25 Mar 2015 09:40
Last Modified: 18 Apr 2023 07:31


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