An analysis of body language of patients using artificial intelligence
Document Type
Article
Publication Date
12-1-2022
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.
Keywords
Body language, Pandemic, Epidemic, Body language analysis, AI, Gesture recognition, Fall detection, Anomaly detection, COVID-19, Neocoronal pneumonia
Divisions
mechanical
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)
Publication Title
Healthcare
Volume
10
Issue
12
Publisher
MDPI
Publisher Location
ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND