Reports from Virginia Polytechnic Institute and State University (Virginia Tech) Provide New Insights into Support Vector Machines (Use of a Wearable Electromyo graphy Armband To Detect Liftlower Tasks and Classify Hand Loads)

Robotics & Machine Learning Daily News2024，Issue(Sep.3) ：110-110.

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Reports from Virginia Polytechnic Institute and State University (Virginia Tech) Provide New Insights into Support Vector Machines (Use of a Wearable Electromyo graphy Armband To Detect Liftlower Tasks and Classify Hand Loads)

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Abstract

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 originatingfrom Blacksburg, Virginia, by Ne wsRx correspondents, research stated, “We used an armband withembedded surface electromyography (sEMG) electrodes, together with machinelearning (ML) models, t oautomatically detect lifting-lowering activities and classify hand loads. Nine healthy participants (4 maleand 5 female) completed simulated lifting-lowering tasks in various conditions and with two different handloads (2.3 and 6.8 kg). ”

Key words

Blacksburg/Virginia/United States/Nor th and Central America/Emerging Technologies/Machine Learning/Support Vector Machines/Vector Machines/Virginia Polytechnic Institute and State University ( Virginia Tech)

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出版年

2024

Robotics & Machine Learning Daily News

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