首页|Findings in the Area of Robotics and Automation Reported from University of Mich igan (Transfer Learning for Efficient Intent Prediction In Lower-limb Prosthetic s: a Strategy for Limited Datasets)
Findings in the Area of Robotics and Automation Reported from University of Mich igan (Transfer Learning for Efficient Intent Prediction In Lower-limb Prosthetic s: a Strategy for Limited Datasets)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics - Robotics and Automation. According tonews reporting originating from A nn Arbor, Michigan, by NewsRx correspondents, research stated, “Thisletter pres ents a transfer learning method to enhance locomotion intent prediction in novel transfemoralamputee subjects, particularly in data-sparse scenarios. Transfer learning is done with three pre-trainedmodels trained on separate datasets: tra nsfemoral amputees, able-bodied individuals, and a mixed datasetof both groups. ”
Ann ArborMichiganUnited StatesNort h and Central AmericaRobotics and AutomationRoboticsUniversity of Michigan
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