Parallel scheme for real-time detection of photosensitive seizures

• Published in: Computers in biology and medicine Vol. 70; pp. 139 - 147
• Main Authors: Alzubaidi, Mohammad A., Otoom, Mwaffaq, Al-Tamimi, Abdel-Karim
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.03.2016; Elsevier Limited
• Subjects: Algorithms; Diagnosis, Differential; Epilepsy, Reflex - diagnosis; Epilepsy, Reflex - physiopathology; Female; Games; Health safety; Humans; Internal Medicine; Literature reviews; Male; Methods; Multicore parallel processing; Multimedia; Neurology; Other; Pattern recognition; Photosensitive epilepsy; Photosensitivity; Real time; Real-time video streaming; Streaming media; Photosensitive epilepsy; Photosensitivity; Real-time video streaming; Pattern recognition; Health safety; Multicore parallel processing
• ISSN: 0010-4825; 1879-0534; 1879-0534
• DOI: 10.1016/j.compbiomed.2016.01.008

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. •Healthy viewing.•Real-time detection of hazardous video content for photosensitive seizures.•Multicore parallel computation.•Seizure pattern inducer testing benchmark.