An analysis of body language of patients using artificial intelligence
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 automat...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
MDPI
2022
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/101942/7/101942_An%20analysis%20of%20body%20language%20of%20patients%20using%20artificial%20intelligence.pdf http://irep.iium.edu.my/101942/ https://doi.org/10.3390/healthcare10122504 |
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| Summary: | 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. |
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