首页|Reports from Marche Polytechnic University Add New Data to Research in Support V ector Machines (Phasor-Based Myoelectric Synergy Features: A Fast Hand-Crafted F eature Extraction Scheme for Boosting Performance in Gait Phase Recognition)
Reports from Marche Polytechnic University Add New Data to Research in Support V ector Machines (Phasor-Based Myoelectric Synergy Features: A Fast Hand-Crafted F eature Extraction Scheme for Boosting Performance in Gait Phase Recognition)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on support vector machine s is the subject of a new report. According to news originating from Ancona, Ita ly, by NewsRx editors, the research stated, “Gait phase recognition systems base d on surface electromyographic signals (EMGs) are crucial for developing advance d myoelectric control schemes that enhance the interaction between humans and lo wer limb assistive devices.”
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