Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Analytical Study on the influence of using Trimmed Gait Energy Images for Human Gait Biometrics using Deep Learning Subject The topic of the resource Biometric; Convolution neural networks; Gait Energy Images; Gait recognition; trimmed images Description An account of the resource Gait based human recognition is founded on the principle that every human being has a distinctive style of walking. With the rise in the use of video surveillance devices, gait is one of the most convenient biometrics to use, in forensics. This paper is an analytical study of the effect of using trimmed Gait Energy Images (GEI) for Human Recognition using different deep learning techniques. Gait energy images are a spatiotemporal, silhouette-based representation of the human gait. GEIs from the CASIA B Multiview dataset was used to build two other sets of data by subtracting the upper body Deep learning and transfer learning techniques including Convolution Neural Networks (CNN) and VGG16 algorithms had been implemented to carry out the recognition. Results showed that the performance of the model using upper body images gives a greater accuracy than the lower body images. It has also been observed that the accuracy of recognition provided by the upper part of the body is almost the same as that achieved by the whole body, which brings forth the idea that the upper part of the body is the most pertinent in Human Identification using Gait as a biometric. 2022 IEEE. Creator An entity primarily responsible for making the resource Poulose N.P.; Kt T. Source A related resource from which the described resource is derived 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, pp. 1266-1269. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICACITE53722.2022.9823497" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACITE53722.2022.9823497</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135468879&amp;doi=10.1109%2FICACITE53722.2022.9823497&amp;partnerID=40&amp;md5=63edf660bf93d298e59a9a9abea99922" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135468879&amp;doi=10.1109%2fICACITE53722.2022.9823497&amp;partnerID=40&amp;md5=63edf660bf93d298e59a9a9abea99922</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543789-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Poulose N.P., Christ University, Bangalore, Department of Data Science, Bangalore, India; Kt T., Christ University, Bangalore, Department of Data Science, Bangalore, India