An Automated Virtual Receptionist for Recognizing Visitors and Assuring Mask Wearing

Simple item page
dc.contributor.authorZehtabian, Sharareen_US
dc.contributor.authorKhodadadeh, Siavashen_US
dc.contributor.authorKim, Kangsooen_US
dc.contributor.authorBruder, Gerden_US
dc.contributor.authorWelch, Gregen_US
dc.contributor.authorBölöni, Ladislauen_US
dc.contributor.authorTurgut, Damlaen_US
dc.contributor.editorKulik, Alexander and Sra, Misha and Kim, Kangsoo and Seo, Byung-Kuken_US
dc.date.accessioned2020-12-01T16:10:55Z
dc.date.available2020-12-01T16:10:55Z
dc.date.issued2020
dc.description.abstractIntelligent virtual agents have many societal uses, specifically in situations in which the presence of real humans would be prohibitive. In particular, virtual receptionists can perform a variety of tasks associated with visitor and employee safety, e.g., during the COVID-19 pandemic. In this poster, we present our prototype of a virtual receptionist that employs computer vision and meta-learning techniques to identify and interact with a visitor in a manner similar to that of a real human receptionist. Specifically we employ a meta-learning-based classifier to learn the visitors' faces from the minimal data collected during a first visit, such that the receptionist can recognize the same visitor during follow-up visits. The system also makes use of deep neural network-based computer vision techniques to recognize whether the visitor is wearing a face mask or not.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationICAT-EGVE 2020 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments - Posters and Demos
dc.identifier.doi10.2312/egve.20201273
dc.identifier.isbn978-3-03868-112-0
dc.identifier.issn1727-530X
dc.identifier.pages9-10
dc.identifier.urihttps://doi.org/10.2312/egve.20201273
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egve20201273
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectIntelligent agents
dc.subjectObject identification
dc.titleAn Automated Virtual Receptionist for Recognizing Visitors and Assuring Mask Wearingen_US
Files
Collections
ICAT-EGVE2020 - Posters and Demos