首页|New Machine Learning Data Have Been Reported by Investigators at University of T echnology Compiegne (Comprehensive Review of Feature Extraction Techniques for S emg Signal Classification: From Handcrafted Features To Deep Learning Approaches )
New Machine Learning Data Have Been Reported by Investigators at University of T echnology Compiegne (Comprehensive Review of Feature Extraction Techniques for S emg Signal Classification: From Handcrafted Features To Deep Learning Approaches )
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 - Current study results on Machine Learn ing have been published. According to newsreporting out of Compiegne, France, b y NewsRx editors, research stated, “Surface Electromyography(sEMG) has become a n essential tool in various fields, including prosthetic control and clinical ev aluationof the neuromusculoskeletal system. In recent years, the application of machine learning and deep learningtechniques to sEMG signal classification has gained significant interest.”
CompiegneFranceEuropeCyborgsEmer ging TechnologiesMachine LearningUniversity of Technology Compiegne
NETL
NSTL
