Abstract
A methodology for the detection of eye gestural reactions as a response to auditory stimuli is presented in this work. A precise hearing evaluation is important to improve the quality of life of those who suffer from hearing loss. In the case of patients with cognitive decline or other communication disorders this evaluation becomes much more complicated. The audiologist needs to focus his attention on spontaneous gestural reactions that might indicate some sort of perception. The detection of this gestural reactions is sometimes imprecise and it requires a broad experience from the audiologist. To facilitate this task, we present a fully automated method that analyzes video sequences recorded during the audiometric evaluation and identifies these unconscious gestural reactions. The presented methodology achieves an accuracy of the 94.21 % in the detection of these reactions to the auditory stimuli, which makes of it an interesting tool to assist the audiologists in the hearing assessment of this specific group of patients.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Cruickshanks, K.J., Wiley, T.L., Tweed, T., et al.: Prevalence of hearing loss in older adults in beaver dam, wisconsin: The epidemiology of hearing loss study. American Journal of Epidemiology 148(9), 879–886 (1998)
Davis, A.: The prevalence of hearing impairment and reported hearing disability among adults in great britain. Int. J. Epidemiol. 18, 911–917 (1989)
Fernandez, A., Ortega, M., Penedo, M.G., Cancela, B., Gigirey, L.M.: Automatic eye gesture recognition in audiometries for patients with cognitive decline. In: Kamel, M., Campilho, A. (eds.) ICIAR 2013. LNCS, vol. 7950, pp. 27–34. Springer, Heidelberg (2013)
Viola, P., Jones, M.: Robust real-time object detection. Int. J. Comput. Vision 57, 137–154 (2004)
Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proceedings of the 7th International Joint Conference on Artificial Intelligence, IJCAI 1981, vol. 2, pp. 674–679 (1981)
Bouguet, J.Y.: Pyramidal implementation of the Lucas-Kanade feature tracker: Description of the algorithm. Intel Corporation, Microprocessor Research Labs (2000)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Fernández, A., Ortega, M., Penedo, M.G. (2014). Computer Aided Hearing Assessment: Detection of Eye Gesture Reactions as a Response to the Sound. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2014. Lecture Notes in Computer Science(), vol 8815. Springer, Cham. https://doi.org/10.1007/978-3-319-11755-3_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-11755-3_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11754-6
Online ISBN: 978-3-319-11755-3
eBook Packages: Computer ScienceComputer Science (R0)