首页|Pennsylvania State University (Penn State) Reports Findings in Machine Learning (Identification of footstrike pattern using accelerometry and machine learning)
Pennsylvania State University (Penn State) Reports Findings in Machine Learning (Identification of footstrike pattern using accelerometry and machine learning)
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 – New research on Machine Learning is th e subject of a report. According to newsoriginating from Reading, Pennsylvania, by NewsRx correspondents, research stated, “Recent reports havesuggested that there may be a relationship between footstrike pattern and overuse injury incide nce andtype. With the recent increase in wearable sensors, it is important to i dentify paradigms where thefootstrike pattern can be detected in real-time from minimal data.”
ReadingPennsylvaniaUnited StatesNo rth and Central AmericaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
