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Our system is established by collecting signals from the coming individuals via the remote measurement in the specific condition where both kinds of data are detected to determine the identity. Specifically, the measuring of gait signals and facial images is integrated to provide a way of improving the detection accuracy and the robustness. In addition, the fuzzy association rule (FAR) is employed for data analysis in line with the outcomes of different methods. As such, the signals are integrated and transmitted for further processing and remote identification. Experiments are conducted to demonstrate the capability of the proposed system. With the training data increases, a high detection accuracy of 95.2% is obtained, which makes it a promising basis for the realization of remote identity verification.<\/jats:p>","DOI":"10.1155\/2020\/8815461","type":"journal-article","created":{"date-parts":[[2020,11,23]],"date-time":"2020-11-23T19:50:45Z","timestamp":1606161045000},"page":"1-10","source":"Crossref","is-referenced-by-count":6,"title":["Remote Identity Verification Using Gait Analysis and Face Recognition"],"prefix":"10.1155","volume":"2020","author":[{"given":"Wen","family":"Si","sequence":"first","affiliation":[{"name":"Faculty of Business Information, Shanghai Business School, Shanghai 200235, China"},{"name":"Department of Rehabilitation, Huashan Hospital, Fudan University, Shanghai 200433, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4089-4048","authenticated-orcid":true,"given":"Jing","family":"Zhang","sequence":"additional","affiliation":[{"name":"Faculty of Business Information, Shanghai Business School, Shanghai 200235, China"}]},{"given":"Yu-Dong","family":"Li","sequence":"additional","affiliation":[{"name":"Faculty of Business Information, Shanghai Business School, Shanghai 200235, China"}]},{"given":"Wei","family":"Tan","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Dongguan University of Technology, Dongguan 523830, China"}]},{"given":"Yi-Fan","family":"Shao","sequence":"additional","affiliation":[{"name":"ECE in University of Michigan-Shanghai Jiao Tong University Joint Institute at Shanghai Jiao Tong University, Shanghai 200240, China"}]},{"given":"Ge-Lan","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Information Science and Engineering, Hunan City University, Yiyang 413000, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1049\/iet-bmt.2018.5030"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2937177"},{"volume-title":"Good practice guide, Identity proofing and verification of an individual","key":"3"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2894535"},{"first-page":"1","article-title":"Reliable broadcast in networks with trusted nodes","author":"L. 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