首页|Researcher from Victoria University Publishes Findings in Machine Learning [A Machine Learning Model for Predicting Critical Minimum Foot Clearance (MFC) He ights]
Researcher from Victoria University Publishes Findings in Machine Learning [A Machine Learning Model for Predicting Critical Minimum Foot Clearance (MFC) He ights]
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news reportingfrom Melbourne, Australia, by NewsRx journalists, research stated, “Tripping is the largest cause of falls,and low swing foot ground clearance during the mid-swing phase, particularly at the critical gait eventknown as Minimum Foot Clearance (MFC), is the major ris k factor for tripping-related falls.”
Victoria UniversityMelbourneAustrali aAustralia and New ZealandCyborgsEmerging TechnologiesMachine LearningRisk and Prevention