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 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.