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    ARTICLE

    A Robust Method of Bipolar Mental Illness Detection from Facial Micro Expressions Using Machine Learning Methods

    Ghulam Gilanie1,*, Sana Cheema1, Akkasha Latif1, Anum Saher1, Muhammad Ahsan1, Hafeez Ullah2, Diya Oommen3

    Intelligent Automation & Soft Computing, Vol.39, No.1, pp. 57-71, 2024, DOI:10.32604/iasc.2024.041535 - 29 March 2024

    Abstract Bipolar disorder is a serious mental condition that may be caused by any kind of stress or emotional upset experienced by the patient. It affects a large percentage of people globally, who fluctuate between depression and mania, or vice versa. A pleasant or unpleasant mood is more than a reflection of a state of mind. Normally, it is a difficult task to analyze through physical examination due to a large patient-psychiatrist ratio, so automated procedures are the best options to diagnose and verify the severity of bipolar. In this research work, facial micro-expressions have been… More >

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