Model-free vision-based facial motion analysis in epilepsy

The assessment of an epileptic patient's clinical image during seizure manifestations is equally important for a correct disease diagnosis as are the findings in the electroencephalogram (EEG). So far, the EEG has been studied extensively and these efforts have brought significant benefits in e...

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Bibliographic Details
Main Authors: Pediaditis, M., Tsiknakis, M., Bologna, V., Vorgia, P.
Format: Conference Proceeding
Language:English
Subjects:
Computer vision
Electroencephalography
Epilepsy
Face
Feature extraction
Mouth
Pediatrics
Online Access:Request full text
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Description
Summary:The assessment of an epileptic patient's clinical image during seizure manifestations is equally important for a correct disease diagnosis as are the findings in the electroencephalogram (EEG). So far, the EEG has been studied extensively and these efforts have brought significant benefits in epileptology by providing well defined patterns, quantitatively describing epileptic events. The same cannot be stated regarding the acquisition of quantifiable descriptions of a patient's clinical image. This paper introduces and evaluates vision-based approaches for the automatic extraction of quantitative features describing facial motion in the domain of epilepsy.
ISSN:0018-9294
1558-2531
DOI:10.1109/IWBE.2011.6079051