Detection and Characterization of the Sclera - Evaluation of Eye Gestural Reactions to Auditory Stimuli

Alba Fernández, Joaquim de Moura, Marcos Ortega, Manuel G. Penedo

Abstract

Hearing assessment becomes a challenge for the audiologists when there are severe difficulties in the communication with the patient. This methodology is aimed at facilitating the audiological evaluation of the patient when cognitive decline, or other communication disorders, complicate the necessary interaction between patient and audiologist for the proper development of the test. In these cases, the audiologist must focus his attention on the detection of spontaneous and unconscious reactions that tend to occur in the eye region of the patient, expressed in most cases as changes in the gaze direction. In this paper, the tracking of the gaze direction is addressed by the study of the sclera, the white area of the eye. The movement is identified and characterized in order to determine whether or not a positive reaction to the auditory stimuli has occurred, so the hearing of the patients can be correctly assessed.

References

  1. Buscher, G., Cutrell, E., and Morris, M. R. (2009). What do you see when you're surfing? using eye tracking to predict salient regions of web pages. 27th international conference on Human factors in computing systems Journal, pages 21-30.
  2. Coetzer, R. and Hancke, G. (2011). Eye detection for a realtime vehicle driver fatigue monitoring system. In Intelligent Vehicles Symposium (IV), 2011 IEEE, pages 66-71.
  3. Collins, J. (1997). Prevalence of Selected Chronic Conditions: United States 1990-1992, volume 10 (194). Hyattsville, MD: National Center for Health Statistics, Public Health Service, National Center for Health Stadistics.
  4. Davis, A. (1989). The prevalence of hearing impairment and reported hearing disability among adults in great britain. Int J Epidemiol., 18:911-17.
  5. Fernandez, A., Ortega, M., Penedo, M., Cancela, B., and Gigirey, L. (2013). Automatic eye gesture recognition in audiometries for patients with cognitive decline. In Kamel, M. and Campilho, A., editors, Image Analysis and Recognition, volume 7950 of Lecture Notes in Computer Science, pages 27-34. Springer Berlin Heidelberg.
  6. Shi, J. and Tomasi, C. (1994). Good features to track. In 1994 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'94), pages 593 - 600.
  7. Timm, F. and Barth, E. (2011). Accurate eye centre localisation by means of gradients. In Mestetskiy, L. and Braz, J., editors, VISAPP, pages 125-130. SciTePress.
  8. Viola, P. and Jones, M. (2001). Robust real-time object detection. In International Journal of Computer Vision.
  9. Yu, H., Chen, G., and Liu, S. (2013). A study on the features of eye movement based on different types of poetry reading. In Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on, pages 195-199.
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Paper Citation


in Harvard Style

Fernández A., de Moura J., Ortega M. and Penedo M. (2015). Detection and Characterization of the Sclera - Evaluation of Eye Gestural Reactions to Auditory Stimuli . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 313-320. DOI: 10.5220/0005295603130320


in Bibtex Style

@conference{visapp15,
author={Alba Fernández and Joaquim de Moura and Marcos Ortega and Manuel G. Penedo},
title={Detection and Characterization of the Sclera - Evaluation of Eye Gestural Reactions to Auditory Stimuli},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={313-320},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005295603130320},
isbn={978-989-758-090-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)
TI - Detection and Characterization of the Sclera - Evaluation of Eye Gestural Reactions to Auditory Stimuli
SN - 978-989-758-090-1
AU - Fernández A.
AU - de Moura J.
AU - Ortega M.
AU - Penedo M.
PY - 2015
SP - 313
EP - 320
DO - 10.5220/0005295603130320