Background Artificial intelligence is useful for building objective and rapid personal identification systems. It is important to research and develop personal identification methods as social and institutional infrastructure. A critical consideration during the coronavirus disease 2019 pandemic is that there is no contact between the subjects and personal identification systems. The aim of this study was to organize the recent 5-year development of contactless personal identification methods that use artificial intelligence. Methods This study used a scoping review approach to map the progression of contactless personal identification systems using artificial intelligence over the past 5 years. An electronic systematic literature search was conducted using the PubMed, Web of Science, Cochrane Library, CINAHL, and IEEE Xplore databases. Studies published between January 2016 and December 2020 were included in the study. Results By performing an electronic literature search, 83 articles were extracted. Based on the PRISMA flow diagram, 8 eligible articles were included in this study. These eligible articles were divided based on the analysis targets as follows: (1) face and/or body, (2) eye, and (3) forearm and/or hand. A rtificial intelligence, including convolutional neural networks, contributed to the progress of research on contactless personal identification methods . Conclusions This study clarified that contactless personal identification methods using artificial intelligence have progressed and that they have used information obtained from the face and/or body, eyes, and forearm and/or hand. Supplementary Information The online version contains supplementary material available at 10.1186/s13643-021-01879-z.
【저자키워드】 COVID-19 pandemic, artificial intelligence, scoping review, Convolutional neural network, Personal identification, Contactless methods, 【초록키워드】 coronavirus disease, pandemic, progression, Research, target, information, Critical, Analysis, Contact, Web of Science, supplementary material, subject, CINAHL, Cochrane Library, article, systematic literature search, eyes, approach, Result, develop, conducted, contributed, eligible, flow diagram, progressed, 【제목키워드】 COVID-19,