Review and Analysis of Patients' Body Language From an Artificial Intelligence Perspective
Document Type
Article
Publication Date
1-1-2023
Abstract
Body language is a nonverbal communication process consisting of movements, postures, gestures, and expressions of the body or body parts. Body language expresses human feelings, thoughts, and intentions. It also reveals physical and psychological health conditions: abnormal activities inform peoples' health conditions, facial expressions indicate their emotional states and abnormal body actions convey specific diseases' external signs and symptoms. We can observe the importance of studying the body language of people with health conditions through many reports in literature written by healthcare (medical) and artificial intelligence researchers. This paper comprehensively reviews artificial intelligence-based articles that have studied patients' body language. We also conduct different descriptive and exploratory examinations of the findings using data analysis techniques, which provide more authentic domain knowledge of abnormal activities, abnormal body actions, and more precise analysis of methodologies used in machine learning tasks for studying these abnormalities. The paper's results are essential for developing intelligent automated systems that accurately evaluate patients' physical and psychological conditions, precisely identify external signs and symptoms of diseases, and adequately monitor patients' health conditions.
Keywords
Artificial intelligence, body language, abnormal activity, abnormal body action, abnormality detection, machine learning, data analysis
Divisions
ai
Funders
United Arab Emirates University (UAEU) under the UAEU Strategic Research Grant G00003676 (Fund 12R136) through the Big Data Analytics Center
Publication Title
IEEE Access
Volume
11
Publisher
Institute of Electrical and Electronics Engineers
Publisher Location
445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA