基于深度学习的步态分析生物特征识别

Jaychand Upadhyay, R. Paranjpe, H. Purohit, Rohan P. Joshi
{"title":"基于深度学习的步态分析生物特征识别","authors":"Jaychand Upadhyay, R. Paranjpe, H. Purohit, Rohan P. Joshi","doi":"10.1109/PuneCon50868.2020.9362402","DOIUrl":null,"url":null,"abstract":"Generally, biometric authentication has been implemented on human features like voice,fingerprint,iris scan, and facial recognition [1]. Humans can recognize other people based on their walking pattern based on their previous learning experience [1]. This walking pattern of the person is termed GAIT [1]. This GAIT can be used for biometric authentication of a person [1]. The system is meant in such some way that it focuses on simple usage, utility, and measurability [1]. The project can be used in facilities which require accurate identification of a person for security purpose.","PeriodicalId":368862,"journal":{"name":"2020 IEEE Pune Section International Conference (PuneCon)","volume":"2180 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Biometric Identification using Gait Analysis by Deep Learning\",\"authors\":\"Jaychand Upadhyay, R. Paranjpe, H. Purohit, Rohan P. Joshi\",\"doi\":\"10.1109/PuneCon50868.2020.9362402\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Generally, biometric authentication has been implemented on human features like voice,fingerprint,iris scan, and facial recognition [1]. Humans can recognize other people based on their walking pattern based on their previous learning experience [1]. This walking pattern of the person is termed GAIT [1]. This GAIT can be used for biometric authentication of a person [1]. The system is meant in such some way that it focuses on simple usage, utility, and measurability [1]. The project can be used in facilities which require accurate identification of a person for security purpose.\",\"PeriodicalId\":368862,\"journal\":{\"name\":\"2020 IEEE Pune Section International Conference (PuneCon)\",\"volume\":\"2180 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Pune Section International Conference (PuneCon)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PuneCon50868.2020.9362402\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Pune Section International Conference (PuneCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PuneCon50868.2020.9362402","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

一般来说,生物识别认证已经在人类特征上实现,如语音、指纹、虹膜扫描和面部识别bb0。人类可以根据他们之前的学习经验,根据他们的行走模式来识别其他人[1]。人的这种行走方式被称为步态[1]。这种步态可以用于人的生物识别认证。该系统在某种程度上意味着它专注于简单的使用、效用和可度量性[1]。该项目可用于为安全目的需要准确识别人员的设施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Biometric Identification using Gait Analysis by Deep Learning
Generally, biometric authentication has been implemented on human features like voice,fingerprint,iris scan, and facial recognition [1]. Humans can recognize other people based on their walking pattern based on their previous learning experience [1]. This walking pattern of the person is termed GAIT [1]. This GAIT can be used for biometric authentication of a person [1]. The system is meant in such some way that it focuses on simple usage, utility, and measurability [1]. The project can be used in facilities which require accurate identification of a person for security purpose.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Pulmonary CT Images Segmentation using CNN and UNet Models of Deep Learning Feature-Based Landslide Susceptibility and Hazard Zonation Maps using Fuzzy Overlay Analysis Impact of Driving Style on Battery Life of the Electric Vehicle Face and Palmprint Biometric Recognition by using Weighted Score Fusion Technique Nature of CSF based on Beating Time in Fibre Reinforced Cotton Rag
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1