Authors:
A. Fernández
;
J. Marey
;
M. Ortega
and
M. G. Penedo
Affiliation:
University of A Coruña, Spain
Keyword(s):
Hearing Assesment, Cognitive Decline, Facial Reactions, Optical Flow, Interest Operators.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Data Manipulation
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Methodologies and Methods
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Soft Computing
;
Vision and Perception
Abstract:
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.