Body language analysis in healthcare: an overview

• Main Authors: Abdulghafor, Rawad Abdulkhaleq Abdulmolla, Turaev, Sherzod, Mohammed, Ali
• Format: Article
• Language: English
• Published: MDPI 2022
• Subjects: T Technology (General)
• Online Access: http://irep.iium.edu.my/101576/7/101576_Body%20language%20analysis%20in%20healthcare.pdf; http://irep.iium.edu.my/101576/; https:// doi.org/10.3390/healthcare10071251

Given the current COVID-19 pandemic, medical research today focuses on epidemic diseases. Innovative technology is incorporated in most medical applications, emphasizing the automatic recognition of physical and emotional states. Most research is concerned with the automatic identification of symptoms displayed by patients through analyzing their body language. The development of technologies for recognizing and interpreting arm and leg gestures, facial features, and body postures is still in its early stage. More extensive research is needed using artificial intelligence (AI) techniques in disease detection. This paper presents a comprehensive survey of the research performed on body language processing. Upon defining and explaining the different types of body language, we justify the use of automatic recognition and its application in healthcare. We briefly describe the automatic recognition framework using AI to recognize various body language elements and discuss automatic gesture recognition approaches that help better identify the external symptoms of epidemic and pandemic diseases. From this study, we found that since there are studies that have proven that the body has a language called body language, it has proven that language can be analyzed and understood by machine learning (ML). Since diseases also show clear and different symptoms in the body, the body language here will be affected and have special features related to a particular disease. From this examination, we discovered that it is possible to specialize the features and language changes of each disease in the body. Hence, ML can understand and detect diseases such as pandemic and epidemic diseases and others