A fast algorithm for tracking human faces based on chromatic histograms
Pattern Recognition Letters
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Robust Real-Time Face Detection
International Journal of Computer Vision
Open Hand Detection in a Cluttered Single Image using Finger Primitives
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
A survey of skin-color modeling and detection methods
Pattern Recognition
A Real-Time Hand Gesture Recognition System for Daily Information Retrieval from Internet
U-MEDIA '11 Proceedings of the 2011 Fourth International Conference on Ubi-Media Computing
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Audiology is the branch of science that deals with hearing, balance, and related disorders. Detecting patients with slow responses to auditory stimuli is relevant because this slowness could be due to other cognitive problems or conditions, which should be studied carefully. In this paper, we present an automatic methodology for processing video sequences recorded during the performance of hearing tests to patients. This screening method allows us to measure the patient's response times to the auditory stimuli sent to them, and based on these times, to identify those patients with response times abnormally slow. The method is tested on individuals taken at random from a standard population, and based on the obtained results, it is confirmed that the proposed method is valid for the automatic detection of patients with slow response times, and it also serves to the experts as a tool for the accurate and objective measurement of these times.