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PERIPHERAL VISION PATTERN DETECTION DYNAMIC TEST
Author(s) -
João Rodrigues,
João D. Semedo,
Fernando Melício,
Agostinho Rosa
Publication year - 2010
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0002977402420247
Subject(s) - computer science , artificial intelligence , test (biology) , computer vision , biology , paleontology
This work proposes a test that evaluates how well a subject can recognize and relate objects in the peripheral and foveal field while focused on some different task and how well this subject can make decisions based on this visual information. Although there exist a few peripheral vision tests in ophthalmology for checking the homogeneity and the reach of the vision field, these professional or clinical grade tests need a fixing or resting system to immobilize the head and also to instruct to the subject to gaze on a reference point. This test doesn’t evaluate the homogeneity of the visual field alone but also how well the information that is visually acquired is processed. Automatic detection of ocular movement is used to separate the results due to peripheral vision from those due to central vision. This test was applied to twelve junior soccer players and successfully identified those that used more peripheral vision, eye scanning or those that didn’t want to collaborate and clicked randomly.

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