Identifying epileptic seizures based on a template-based eyeball detection technique

Many types of epileptic seizures are accompanied by characteristic eye movement, along with the movement of other parts of the body. Vision-based detection of eye movement in the context of seizures is less explored. The contribution of this paper is three-fold: (1) a compute-efficient algorithm for eyeball detection is proposed and evaluated on a standard database and yields an accuracy of 95%. (2) A new video dataset for absence seizure has been created. (3) The proposed algorithm for eyeball detection is applied on this dataset in order to detect the occurrence of absence seizure.