首页|New Brain-Based Devices Study Results from Miguel Hernandez University of Elche Described (Brain-machine interface based on deep learning to control asynchronou sly a lower-limb robotic exoskeleton: a case-of-study)
New Brain-Based Devices Study Results from Miguel Hernandez University of Elche Described (Brain-machine interface based on deep learning to control asynchronou sly a lower-limb robotic exoskeleton: a case-of-study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on brain-based devic es have been published. According to newsreporting out of Miguel Hernandez Univ ersity of Elche by NewsRx editors, research stated, “This researchfocused on th e development of a motor imagery (MI) based brain-machine interface (BMI) using deeplearning algorithms to control a lower-limb robotic exoskeleton. The study aimed to overcome the limitationsof traditional BMI approaches by leveraging th e advantages of deep learning, such as automatedfeature extraction and transfer learning.”
Miguel Hernandez University of ElcheBr ain-machine InterfaceEmerging TechnologiesMachine LearningRoboticsRobots
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