title: Parallel scheme for real-time detection of photosensitive seizures.
abstract: The production and distribution of videos and animations on gaming and self-authoring websites are booming. However, given this rise in self-authoring, there is increased concern for the health and safety of people who suffer from a neurological disorder called photosensitivity or photosensitive epilepsy. These people can suffer seizures from viewing video with hazardous content. This paper presents a spatiotemporal pattern detection algorithm that can detect hazardous content in streaming video in real time. A tool is developed for producing test videos with hazardous content, and then those test videos are used to evaluate the proposed algorithm, as well as an existing post-processing tool that is currently being used for detecting such patterns. To perform the detection in real time, the proposed algorithm was implemented on a dual core processor, using a pipelined/parallel software architecture. Results indicate that the proposed method provides better detection performance, allowing for the masking of seizure inducing patterns in real time.
authors.affiliation: Computer Engineering Department at Yarmouk University, Irbid 21163, Jordan. Electronic address: maalzubaidi@yu.edu.jo.
authors.forename: Mohammad A
authors.initials: MA
authors.lastname: Alzubaidi
authors.affiliation: Computer Engineering Department at Yarmouk University, Irbid 21163, Jordan. Electronic address: mof.otoom@yu.edu.jo.
authors.forename: Mwaffaq
authors.initials: M
authors.lastname: Otoom
authors.affiliation: Computer Engineering Department at Yarmouk University, Irbid 21163, Jordan. Electronic address: altamimi@yu.edu.jo.
authors.forename: Abdel-Karim
authors.initials: AK
authors.lastname: Al-Tamimi
mesh_terms: D000465:Algorithms; D003937:Diagnosis, Differential; D020195:Epilepsy, Reflex / Q000175:diagnosis* / Q000503:physiopathology*; D005260:Female; D006801:Humans; D008297:Male
keywords: Health safety; Multicore parallel processing; Pattern recognition; Photosensitive epilepsy; Photosensitivity; Real-time video streaming