首页|University of Quebec at Chicoutimi Researchers Publish Findings in Machine Learn ing (Machine learning-based risk of fall estimation using insole with force sens ors while performing a sequence of activities in the TUG test)
University of Quebec at Chicoutimi Researchers Publish Findings in Machine Learn ing (Machine learning-based risk of fall estimation using insole with force sens ors while performing a sequence of activities in the TUG test)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reportingout of Quebec, Canada, by NewsRx e ditors, research stated, “Several methods combining biomedicaland computer-base d approaches have been used to address the risk of falls among the elderly usinginstrumented insoles. Machine-learning techniques in gait analysis has proven t o be a promising solutionwhen using instrumented insoles.”
University of Quebec at ChicoutimiQueb ecCanadaNorth and Central AmericaCyborgsEmerging TechnologiesMachine L earningRisk and Prevention