首页|Research from I-Shou University in Support Vector Machines Provides New Insights (Integrating OpenPose and SVM for Quantitative Postural Analysis in Young Adult s: A Temporal-Spatial Approach)
Research from I-Shou University in Support Vector Machines Provides New Insights (Integrating OpenPose and SVM for Quantitative Postural Analysis in Young Adult s: A Temporal-Spatial Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in support vector machines. According to news reportingout of Kaohsiung City, Taiwan, by NewsRx editors, research stated, “Noninvasive tracking devices arewidely used t o monitor real-time posture. Yet significant potential exists to enhance postura l controlquantification through walking videos.”
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