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An Analysis of Body Language of Patients Using Artificial Intelligence.
- Source :
- Healthcare (2227-9032); Dec2022, Vol. 10 Issue 12, p2504, 32p
- Publication Year :
- 2022
-
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. [ABSTRACT FROM AUTHOR]
- Subjects :
- LEG physiology
CULTURE
DEEP learning
WALKING speed
COVID-19
NONVERBAL communication
TEACHING
LEADERSHIP
ARTIFICIAL intelligence
FACIAL expression
SPORTS
FACE perception
RISK assessment
LEARNING strategies
ACCIDENTAL falls
BODY movement
PHYSICAL mobility
PARKINSON'S disease
EMPLOYEES' workload
BODY language
ARTIFICIAL neural networks
COVID-19 pandemic
PUBLIC speaking
PARAPLEGIA
Subjects
Details
- Language :
- English
- ISSN :
- 22279032
- Volume :
- 10
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- Healthcare (2227-9032)
- Publication Type :
- Academic Journal
- Accession number :
- 160987701
- Full Text :
- https://doi.org/10.3390/healthcare10122504