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Rim Barioul
Affiliation
Measurement and Sensor Technology, Faculty of Electrical Engineering and Information Technology, Chemnitz University of Technology, Chemnitz, Germany
Topic
Gesture Recognition,Hand Gestures,American Sign Language,Classification Accuracy,Gesture Classification,Hand Gesture Recognition,Inertial Measurement Unit,K-nearest Neighbor,Learning Algorithms,Machine Learning,Sign Language,sEMG Signals,Different Signs,Electromyography,Human-machine Interaction,Mean Absolute Value,Support Vector Machine,Surface Electromyography,Alternating Current,Confusion Matrix,Dynamic Hand Gesture,Electrical Impedance Tomography,Electrode,Frequency Range,Gestures,Grey Wolf Optimizer,Hand Signals,Hidden Layer,Impedance,Long Short-term Memory,Muscle Contraction,Pair Of Electrodes,Random Forest,Recurrent Neural Network,Time-domain Features,Absolute Difference,Agile Production,Alternative Paths,Analog-to-digital Converter,Angular Speed,Ant Colony Optimization,Application Of Different Methods,Applying Feature Selection,Arduino,Artificial Neural Network,Artificial Neural Network Algorithm,Artificial Neural Network Model,Assembly Operations,Average Accuracy,Average Classification Accuracy,
Biography
Rim Barioul is currently a Post-doctoral and Senior Scientist at Chemnitz University of Technology in Chemnitz, Germany. Her research is focused on electromyographic signals, electrical impedance myography, hand gesture recognition and classification algorithms. She obtained her Ph.D. degree from Chemnitz University of Technology, in cooperation with National Engineering School of Sfax, Tunisia in 2021 and her engineering degree in industrial informatics from the National School of Electronics and Telecommunications of Sfax (ENET'com) Tunisia in 2015.