An analysis of body language of patients using artificial intelligence

Abdulghafor, Rawad and Abdelmohsen, Abdelrahman and Turaev, Sherzod and Ali, Mohammed A. H. and Wani, Sharyar (2022) An analysis of body language of patients using artificial intelligence. Healthcare, 10 (12). ISSN 2227-9032, DOI

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In recent decades, epidemic and pandemic illnesses have grown prevalent and are a regular source of concern throughout the world. The extent to which the globe has been affected by the COVID-19 epidemic is well documented. Smart technology is now widely used in medical applications, with the automated detection of status and feelings becoming a significant study area. As a result, a variety of studies have begun to focus on the automated detection of symptoms in individuals infected with a pandemic or epidemic disease by studying their body language. The recognition and interpretation of arm and leg motions, facial recognition, and body postures is still a developing field, and there is a dearth of comprehensive studies that might aid in illness diagnosis utilizing artificial intelligence techniques and technologies. This literature review is a meta review of past papers that utilized AI for body language classification through full-body tracking or facial expressions detection for various tasks such as fall detection and COVID-19 detection, it looks at different methods proposed by each paper, their significance and their results.

Item Type: Article
Funders: Malaysia International Islamic University Research Management Center (Grant No: RMCG20-023-0023), United Arab Emirates University Strategic Research Grant through Big Data Analytics Center (Grant No: G00003676 & 12R136)
Uncontrolled Keywords: Body language; Pandemic; Epidemic; Body language analysis; AI; Gesture recognition; Fall detection; Anomaly detection; COVID-19; Neocoronal pneumonia
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Faculty of Engineering > Department of Mechanical Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 24 Nov 2023 08:32
Last Modified: 24 Nov 2023 08:32

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