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)

Robotics & Machine Learning Daily News2024，Issue(Dec.12) ：97-98.

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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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Abstract

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.”

Key words

University of Quebec at Chicoutimi/Queb ec/Canada/North and Central America/Cyborgs/Emerging Technologies/Machine L earning/Risk and Prevention

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出版年

2024

Robotics & Machine Learning Daily News

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