首页|Henan University of Technology Researchers Detail Findings in Robotics (Motion i ntention recognition of the affected hand based on the sEMG and improved DenseNe t network)
Henan University of Technology Researchers Detail Findings in Robotics (Motion i ntention recognition of the affected hand based on the sEMG and improved DenseNe t network)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ro botics. According to news reporting out of Zhengzhou, People’s Republic of China , by NewsRx editors, research stated, “The key to sEMG (surface electromyography )-based control of robotic hands is the utilization of sEMG signals from the aff ected hand of amputees to infer their motion intentions. With the advancements i n deep learning, researchers have successfully developed viable solutions for CN N (Convolutional Neural Network)-based gesture recognition.”
Henan University of TechnologyZhengzho uPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningRo boticsRobots
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