Abdulghafor, Rawad and Abdelmohsen, Abdelrahman and Turaev, Sherzod and Ali, Mohammed and Wani, Sharyar (2022) An analysis of body language of patients using artificial intelligence. healthcare, 10 (12). pp. 1-32. ISSN 2227-9032
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Abstract
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 (Journal) |
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Additional Information: | Funding This research was funded by Malaysia International Islamic University Research Management Center Grant RMCG20-023-0023, |
Uncontrolled Keywords: | body language; pandemic; epidemic; body language analysis; AI; gesture recognition; fall detection; anomaly detection; COVID-19; neocoronal pneumonia |
Subjects: | T Technology > T Technology (General) |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science |
Depositing User: | Dr. Rawad Abdulghafor |
Date Deposited: | 19 Dec 2022 09:06 |
Last Modified: | 19 Dec 2022 09:08 |
URI: | http://irep.iium.edu.my/id/eprint/101942 |
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