FaceTouch: Detecting hand-to-face touch with supervised contrastive learning to assist in tracing infectious diseases

• Published in: PloS one Vol. 19; no. 6; p. e0288670
• Main Authors: Ibrahim, Mohamed R, Lyons, Terry
• Format: Journal Article
• Language: English
• Published: San Francisco Public Library of Science 13.06.2024
• Subjects: Accelerometers; Analysis; Arm; Biology and Life Sciences; Communicable diseases; Computer and Information Sciences; Computer vision; COVID-19; Datasets; Deep learning; Face; Hand; Hand (anatomy); Infectious diseases; Machine vision; Medicine and Health Sciences; Occlusion; Representations; Respiratory system; Sensors; Social Sciences

Through our respiratory system, many viruses and diseases frequently spread and pass from one person to another. Covid-19 served as an example of how crucial it is to track down and cut back on contacts to stop its spread. There is a clear gap in finding automatic methods that can detect hand-to-fac...