Turaev, Sherzod and Al-Dabet, Saja and Babu, Aiswarya and Rustamov, Zahiriddin and Rustamov, Jaloliddin and Zaki, Nazar and Mohamad, Mohd Saberi and Loo, Chu Kiong (2023) Review and Analysis of Patients' Body Language From an Artificial Intelligence Perspective. IEEE Access, 11. pp. 62140-62173. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2023.3287788.
Full text not available from this repository.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.
| Item Type: | Article |
|---|---|
| Funders: | United Arab Emirates University (UAEU) under the UAEU Strategic Research Grant G00003676 (Fund 12R136) through the Big Data Analytics Center |
| Uncontrolled Keywords: | Artificial intelligence; body language; abnormal activity; abnormal body action; abnormality detection; machine learning; data analysis |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Artificial Intelligence |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 12 Sep 2025 02:05 |
| Last Modified: | 12 Sep 2025 02:05 |
| URI: | http://eprints.um.edu.my/id/eprint/50503 |
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