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. 2016 Mar 1;70:139-147.
doi: 10.1016/j.compbiomed.2016.01.008. Epub 2016 Jan 18.

Parallel Scheme for Real-Time Detection of Photosensitive Seizures

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Parallel Scheme for Real-Time Detection of Photosensitive Seizures

Mohammad A Alzubaidi et al. Comput Biol Med. .

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.

Keywords: Health safety; Multicore parallel processing; Pattern recognition; Photosensitive epilepsy; Photosensitivity; Real-time video streaming.

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