首页|Researchers from Miguel Hernandez University Describe Findings in Brain-Based De vices (Design of a Brain-machine Interface for Reducing False Activations of a L ower-limb Exoskeleton Based On Error Related Potential)
Researchers from Miguel Hernandez University Describe Findings in Brain-Based De vices (Design of a Brain-machine Interface for Reducing False Activations of a L ower-limb Exoskeleton Based On Error Related Potential)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Brain-Based Devices are presented in a new report. According to news reporting out of Elche, Spain, by N ewsRx editors, research stated, "Brain-Machine Interfaces (BMIs) based on a moto r imagination paradigm provide an intuitive approach for the exoskeleton control during gait. However, their clinical applicability remains difficulted by accur acy limitations and sensitivity to false activations." Funders for this research include MICIU/AEI, European Union (EU), Valencian Grad uate School and Research Network of Artificial Intelligence (ValgrAI), Center fo r Forestry Research & Experimentation (CIEF), European Union (EU).
ElcheSpainEuropeBrain-Based Device sBrain-machine InterfaceEmerging TechnologiesMachine LearningMiguel Hern andez University
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