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This story is from the category Sensors
Date posted: 08/06/2009 Mimicking the way in which a retina works is as hard as it sounds. Scientists from Stanford University, in the United States, have spent the past two years working on imitating the way in which information is processed in biological systems, in other words through the transmission of events in specifically connected networks (where information is captured and transmitted at the same time). Now a research team from the UGR has evaluated the degree of precision of different models in estimating movement, and have combined the responses of four movement detection cells, two of which are static (on and off), and two transitory (decrease and increase). "One of our developments is a multimodal attention operator, which can detect movement in objects of different colours and textures", Fran Barranco, one of the researchers involved in this project, tells SINC. The objective of this study, which has been published in the latest issue of the journal IEEE Transactions on Systems. Man and Cybernetics, was to combine movement and attention based on information provided by the artificial retina, a visual system capable of selectively capturing moving objects in real time. The use of an event-driven model, which makes it possible to focus only on areas of activity, has been fundamental, both in the movement processing model as well as in the multimodal selective attention model created in Granada. See the full Story via external site: www.physorg.com Most recent stories in this category (Sensors): 01/05/2013: Breath study brings roadside drug testing closer |
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