Abstract
Abstract: Facial paralysis refers to an inability to move the facial muscles on either or both sides. This happens when the nerve regulating the facial muscles or the area of the brain that controls this nerve is malfunctioning. There are some medical conditions that cause facial paralysis that are transient and treatable, while there are others that can be deadly. It is vital to measure the unevenness of prominent facial features including the eyes, nose, and mouth when diagnosing facial paralysis. Facial paralysis is traditionally determined solely through the physician's judgment, based on visual evaluation alone. The medical professionals by hand measure specific locations between the two sides of the person's face to determine the extent of facial paralysis before advising appropriate therapy. But these methods are highly prone to errors. The severity level assessment is crucial since it will be used to choose the most effective and appropriate medical care. Therefore a quantitative measure is required to assist in medical diagnosis. In this paper, a number of automatic facial paralysis prediction methods are discussed
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