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Hearing loss is a common disease which affects a large percentage of the population. Hearing loss may have a negative impact on health, social participation, and daily activities, so its diagnosis and monitoring is indeed  important. The audiometric tests related to this diagnosis are constrained when the patient suffers from some form of cognitive impairment. In these cases, audilogist must try to detect particular facial reactions that  may indicate auditory perception. With the aim of supporting the audiologist in this evaluation, a screening method that analyzes video sequences and seeks for facial reactions within the eye area was proposed. In  this research, a comprehensive survey of one of the most relevent steps of this methodology is presented. This survey considers different alternatives for the detection of the interest points and the classsification techniques. The provided results allow to determine the most suitable configuration for this domain.

Interest Operator Analysis for Automatic Assessment of Spontaneous Gestures in Audiometries