首页|Reports Outline Robotics and Automation Findings from Universityof Alberta (Emg-based Intention Detection Using Deep Learning for Shared Control In Upper-limb Assistive Exoskeletons)
Reports Outline Robotics and Automation Findings from Universityof Alberta (Emg-based Intention Detection Using Deep Learning for Shared Control In Upper-limb Assistive Exoskeletons)
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 – Research findings on Robotics - Robotics and Automation are discussed in a newreport. According to news reporting from Edmonton, Canada, by NewsRx journalists, research stated,“In the field of human-robot interaction, surface electromyography (sEMG) provides a valuable tool formeasuring active muscular effort. While numerous studies have investigated real-time control of upperextremity exoskeletons based on user intention and task-specific movements, the prediction of body jointpositions based on EMG features has remained largely unexplored.”
EdmontonCanadaNorth and Central AmericaRobotics and AutomationRoboticsUniversity of Alberta
NETL
NSTL
