首页|Studies from Federal University Espirito Santo Yield New Data on Machine Learnin g (Methodology Based On Machine Learning Through Neck Motion and Pof-based Press ure Sensors for Wheelchair Operation)
Studies from Federal University Espirito Santo Yield New Data on Machine Learnin g (Methodology Based On Machine Learning Through Neck Motion and Pof-based Press ure Sensors for Wheelchair Operation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Vitoria, Brazil, by N ewsRx journalists, research stated, “Polymer Optical Fiber (POF)-basedsensors h ave gained recognition in recent years for biomedical applications because of th eir low cost,physical properties, and feasibility. A novel methodology is propo sed here for classifying neck movementsusing POF- based pressure sensors and ma chine learning algorithms.”
VitoriaBrazilSouth AmericaCyborgsEmerging TechnologiesMachine LearningFederal University Espirito Santo
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