首页|Data on Machine Learning Discussed by a Researcher at Instituto Tecnologico de L eon (Characterization of Pupillary Light Response through Low-Cost Pupillometry and Machine Learning Techniques)
Data on Machine Learning Discussed by a Researcher at Instituto Tecnologico de L eon (Characterization of Pupillary Light Response through Low-Cost Pupillometry and Machine Learning Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news originating from Guanaju ato, Mexico, by NewsRx editors, the research stated, "This article employed pupi llometry as a non-invasive technique to analyze pupillary light reflex (PLR) usi ng LED flash stimuli." Our news reporters obtained a quote from the research from Instituto Tecnologico de Leon: "Particularly, for the experiments, only the red LED with a wavelength of 600 nm served as the light stimulation source. To stabilize the initial pupi l size, a pre-stimulus (PRE) period of 3 s was implemented, followed by a 1 s st imulation period (ON) and a 4 s post-stimulus period (POST). Moreover, an experi mental, low-cost pupillometer prototype was designed to capture pupillary images of 13 participants. The prototype consists of a 2-megapixel web camera and a li ghting system comprising infrared and RGB LEDs for image capture in low-light co nditions and stimulus induction, respectively."
Instituto Tecnologico de LeonGuanajuat oMexicoNorth and Central AmericaCyborgsEmerging TechnologiesMachine Le arning
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