Jameel Hassan, A. S.Sritharan, SurenJayatilaka, GihanGodaliyadda, Roshan I.Ekanayake, Parakrama B.Herath, VijithaEkanayake, Janaka B.2022-03-152022-03-152021-10-18http://hdl.handle.net/10625/60923A handshake interaction localization model in real-time that may help mitigate the threat for transmitting COVID-19, is presented using computer vision in a non-intrusive technique. A real-time detection model (using YOLO/you only look once) is proposed to identify handshake interactions in realistic scenarios. YOLO can detect multiple interactions in a single frame. The model can be applied to public spaces to identify handshake interactions. The study is the first to use a human interaction localization model in a multi-person setting. YOLO is a convolutional neural network (CNN) for object detection in real-time.application/pdfenLOCALIZATIONMATHEMATICAL MODELSCOVID-19ARTIFICIAL INTELLIGENCEHUMAN RIGHTSDISEASE TRANSMISSIONEPIDEMIOLOGYSOCIAL BEHAVIOURSIMULATIONSRI LANKASOUTH ASIAConference Paper