PMC:7796058 / 52833-53668 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"387","span":{"begin":71,"end":76},"obj":"Species"},{"id":"388","span":{"begin":230,"end":238},"obj":"Disease"},{"id":"389","span":{"begin":611,"end":619},"obj":"Disease"},{"id":"390","span":{"begin":717,"end":725},"obj":"Disease"},{"id":"391","span":{"begin":775,"end":783},"obj":"Disease"}],"attributes":[{"id":"A387","pred":"tao:has_database_id","subj":"387","obj":"Tax:9606"},{"id":"A388","pred":"tao:has_database_id","subj":"388","obj":"MESH:D003371"},{"id":"A389","pred":"tao:has_database_id","subj":"389","obj":"MESH:C000657245"},{"id":"A390","pred":"tao:has_database_id","subj":"390","obj":"MESH:D003371"},{"id":"A391","pred":"tao:has_database_id","subj":"391","obj":"MESH:C000657245"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"Camera stream processing is a popular and quick way to detect objects. Human behaviors and actions can be detected as objects from the video frames using a trained deep learning model. For the detection of risky behaviors such as coughing, hugging, handshaking, and doorknob touching, the You Only Look Once version3 (YOLOv3) which is suitable for real-time behavior detection for online video streams, was trained and applied [63,64]. This library classifies and localizes detected objects in one step with a speed of faster than 40 frames per second (FPS). We considered two main types of risky behaviors for COVID-19 indoor transmission: Group risky behaviors (e.g., hugging) and individual risky behaviors (e.g., coughing). Figure 12 illustrates how to train a model for COVID-19 transmission risky behavior detection using YOLOv3."}

{"project":"LitCovid-PD-HP","denotations":[{"id":"T5","span":{"begin":230,"end":238},"obj":"Phenotype"},{"id":"T6","span":{"begin":717,"end":725},"obj":"Phenotype"}],"attributes":[{"id":"A5","pred":"hp_id","subj":"T5","obj":"http://purl.obolibrary.org/obo/HP_0012735"},{"id":"A6","pred":"hp_id","subj":"T6","obj":"http://purl.obolibrary.org/obo/HP_0012735"}],"text":"Camera stream processing is a popular and quick way to detect objects. Human behaviors and actions can be detected as objects from the video frames using a trained deep learning model. For the detection of risky behaviors such as coughing, hugging, handshaking, and doorknob touching, the You Only Look Once version3 (YOLOv3) which is suitable for real-time behavior detection for online video streams, was trained and applied [63,64]. This library classifies and localizes detected objects in one step with a speed of faster than 40 frames per second (FPS). We considered two main types of risky behaviors for COVID-19 indoor transmission: Group risky behaviors (e.g., hugging) and individual risky behaviors (e.g., coughing). Figure 12 illustrates how to train a model for COVID-19 transmission risky behavior detection using YOLOv3."}

{"project":"LitCovid-sentences","denotations":[{"id":"T378","span":{"begin":0,"end":70},"obj":"Sentence"},{"id":"T379","span":{"begin":71,"end":184},"obj":"Sentence"},{"id":"T380","span":{"begin":185,"end":435},"obj":"Sentence"},{"id":"T381","span":{"begin":436,"end":558},"obj":"Sentence"},{"id":"T382","span":{"begin":559,"end":640},"obj":"Sentence"},{"id":"T383","span":{"begin":641,"end":727},"obj":"Sentence"},{"id":"T384","span":{"begin":728,"end":835},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"Camera stream processing is a popular and quick way to detect objects. Human behaviors and actions can be detected as objects from the video frames using a trained deep learning model. For the detection of risky behaviors such as coughing, hugging, handshaking, and doorknob touching, the You Only Look Once version3 (YOLOv3) which is suitable for real-time behavior detection for online video streams, was trained and applied [63,64]. This library classifies and localizes detected objects in one step with a speed of faster than 40 frames per second (FPS). We considered two main types of risky behaviors for COVID-19 indoor transmission: Group risky behaviors (e.g., hugging) and individual risky behaviors (e.g., coughing). Figure 12 illustrates how to train a model for COVID-19 transmission risky behavior detection using YOLOv3."}