Abnormal head movement classification using deep neural network DNN

Al-Shakarchy, Noor D.; Ali, Israa Hadi

doi:10.1063/1.5123123

Cited by 5 publications

(1 citation statement)

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“…Based on experiments, the proposed algorithm produced 99.95% accuracy. In [88], a deep learning model for abnormal head movement identification is introduced. This model can handle distortion, noise, and different illumination conditions.…”

Section: Abnormal Head Poses and Movementsmentioning

confidence: 99%

Review and Analysis of Patients’ Body Language From an Artificial Intelligence Perspective

et al. 2023

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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.

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Section: Abnormal Head Poses and Movementsmentioning

confidence: 99%