Hands off : a handshake interaction detection and localization model for COVID-19 threat control
dc.contributor.author | Jameel Hassan, A. S. | |
dc.contributor.author | Sritharan, Suren | |
dc.contributor.author | Jayatilaka, Gihan | |
dc.contributor.author | Godaliyadda, Roshan I. | |
dc.contributor.author | Ekanayake, Parakrama B. | |
dc.contributor.author | Herath, Vijitha | |
dc.contributor.author | Ekanayake, Janaka B. | |
dc.date.accessioned | 2022-03-15T18:52:34Z | |
dc.date.available | 2022-03-15T18:52:34Z | |
dc.date.issued | 2021-10-18 | |
dc.description.abstract | A 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. | en |
dc.description.sponsorship | Lewis Power, Singapore | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/10625/60923 | |
dc.language.iso | en | |
dc.subject | LOCALIZATION | en |
dc.subject | MATHEMATICAL MODELS | en |
dc.subject | COVID-19 | en |
dc.subject | ARTIFICIAL INTELLIGENCE | en |
dc.subject | HUMAN RIGHTS | en |
dc.subject | DISEASE TRANSMISSION | en |
dc.subject | EPIDEMIOLOGY | en |
dc.subject | SOCIAL BEHAVIOUR | en |
dc.subject | SIMULATION | en |
dc.subject | SRI LANKA | en |
dc.subject | SOUTH ASIA | en |
dc.title | Hands off : a handshake interaction detection and localization model for COVID-19 threat control | en |
dc.type | Conference Paper | en |
idrc.copyright.oapermissionsource | CC BY 4.0 | en |
idrc.dspace.access | Open Access | en |
idrc.project.componentnumber | 109586001 | |
idrc.project.number | 109586 | |
idrc.project.title | Using AI to contain COVID-19 and future epidemics in Malaysia and Sri Lanka with a focus on women, children, and underprivileged groups | en |
idrc.rims.adhocgroup | IDRC SUPPORTED | en |
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