首页|University of Toronto Reports Findings in Machine Learning (Exploration and demo nstration of explainable machine learning models in prosthetic rehabilitation-ba sed gait analysis)

University of Toronto Reports Findings in Machine Learning (Exploration and demo nstration of explainable machine learning models in prosthetic rehabilitation-ba sed gait analysis)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating in Toronto, Canad a, by NewsRx journalists, research stated, “Quantitative gait analysisis import ant for understanding the non-typical walking patterns associated with mobility impairments.Conventional linear statistical methods and machine learning (ML) m odels are commonly used to assessgait performance and related changes in the ga it parameters.”

TorontoCanadaNorth and Central Ameri caCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.15)