首页|Findings from University of Sousse Update Understanding of Machine Learning (An Integrated Force Myography and Svm-based Machine Learning System for Enhanced Mu scle Exertion Assessment In Industrial Settings)
Findings from University of Sousse Update Understanding of Machine Learning (An Integrated Force Myography and Svm-based Machine Learning System for Enhanced Mu scle Exertion Assessment In Industrial Settings)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Sous se, Tunisia, by NewsRx correspondents, research stated, "This study proposes a n ovel approach for objective muscle exertion assessment in industrial settings, c ombining force myography (FMG) and support vector machines (SVM), bridging the g ap between subjective and objective assessments while addressing limitations of existing technologies. To improve FMG data quality, an in-house-built conditioni ng interface for force-sensing resistor (FSR) sensor was developed, enhancing se nsitivity and reducing drift." Financial support for this research came from ANPR.
SousseTunisiaCyborgsEmerging Techn ologiesMachine LearningSupport Vector MachinesUniversity of Sousse
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