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ETCM 2021 - 5th Ecuador Technical Chapters Meeting(3)
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A Hand Gesture Recognition System Using EMG and Reinforcement Learning: A Q-Learning Approach
Conference ObjectAbstract: Hand gesture recognition (HGR) based on electromyography (EMG) has been a research topic of great inPalabras claves:Electromyography, EMG, Experience replay, Hand gesture recognition, Q-Learning, reinforcement learningAutores:Ángel Leonardo Valdivieso Caraguay, Juan Pablo Vasconez, Lorena Isabel Barona López, Marco E. Benalcázar, Patricio J. Cruz, Patricio Javier Cruz Davalos, Robin AlvarezFuentes:googlescopusA New Methodology for Pattern Recognition Applied to Hand Gestures Recognition Using EMG. Analysis of Intrapersonal and Interpersonal Variability
Conference ObjectAbstract: Systems used for pattern recognition are usually divided into 4 stages: signal acquisition, preprocePalabras claves:EMG, Hand gesture recognition, intrapersonal and interpersonal variability, pattern recognitionAutores:Ángel Leonardo Valdivieso Caraguay, Javier Alejandro Ordóñez Flores, Juan Pablo Vasconez, Lorena Isabel Barona López, Marco E. Benalcázar, Patricio Javier Cruz Davalos, Robin Gerardo Alvarez RuedaFuentes:googlescopusA comparison of EMG-based hand gesture recognition systems based on supervised and reinforcement learning
ArticleAbstract: Hand gesture recognition (HGR) based on electromyography signals (EMGs) has been one of the most relPalabras claves:convolutional neural networks, Electromyography, EMG, Hand gesture recognition, reinforcement learning, Supervised learningAutores:Ángel Leonardo Valdivieso Caraguay, Juan Pablo Vasconez, Lorena Isabel Barona López, Marco E. BenalcázarFuentes:googlescopusA user-specific hand gesture recognition model based on feed-forward neural networks, emgs, and correction of sensor orientation
ArticleAbstract: Hand gesture recognition systems have several applications including medicine and engineering. A gesPalabras claves:classification, Correction of rotation of EMG sensors, Electromyography, EMG, Feed-forward neural network, Hand gesture recognitionAutores:Ángel Leonardo Valdivieso Caraguay, Lorena Isabel Barona López, Marco E. BenalcázarFuentes:googlescopusAn Energy-Based Method for Orientation Correction of EMG Bracelet Sensors in Hand Gesture Recognition Systems
ArticleAbstract: Hand gesture recognition (HGR) systems using electromyography (EMG) bracelet-type sensors are currenPalabras claves:electrodes displacement, Hand gesture recognition, Myo Armband, orientation correctionAutores:Ángel Leonardo Valdivieso Caraguay, Jonathan A. Zea, Juan Pablo Vasconez, Lorena Isabel Barona López, Marcelo Alvarez V., Marco E. Benalcázar, Victor Hugo VimosFuentes:scopusAn Interface for Audio Control Using Gesture Recognition and IMU Data
Conference ObjectAbstract: Hand Gesture Recognition systems using electromyography sensors in conjunction with data from inertiPalabras claves:GFORCE, Hand gesture recognition, IMU, Music control interface, MYO, SVMAutores:Ángel Leonardo Valdivieso Caraguay, David Fernando Pozo Espín, Lorena Isabel Barona López, Marco E. Benalcázar, Victor Hugo VimosFuentes:googlescopusAn Open-Source Data Acquisition and Manual Segmentation System for Hand Gesture Recognition based on EMG
Conference ObjectAbstract: Due to lack of standardization in the data acquisition process, Hand Gesture Recognition literaturePalabras claves:EMG, gForce Pro, Hand gesture recognition, HGR, matlab, Myo ArmbandAutores:Ángel Leonardo Valdivieso Caraguay, Jonathan A. Zea, Lorena Isabel Barona López, Marco E. BenalcázarFuentes:googlescopusFeature Evaluation of EMG Signals for Hand Gesture Recognition Based on Mutual Information, Fuzzy Entropy and RES Index
Conference ObjectAbstract: In the field of hand gesture recognition based on electromyography, the selection of features is stiPalabras claves:Electromyography, Feature evaluation, Fuzzy entropy, Hand gesture recognition, mutual information, Myo armband sensorAutores:Ángel Leonardo Valdivieso Caraguay, Jonathan A. Zea, Lorena Isabel Barona López, Marco E. Benalcázar, Xavier AguasFuentes:googlescopusHand Gesture Recognition Using EMG-IMU Signals and Deep Q-Networks
ArticleAbstract: Hand gesture recognition systems (HGR) based on electromyography signals (EMGs) and inertial measurePalabras claves:deep Q-network, Electromyography, Hand gesture recognition, inertial measurement unit, reinforcement learningAutores:Ángel Leonardo Valdivieso Caraguay, Juan Pablo Vasconez, Lorena Isabel Barona López, Marco E. BenalcázarFuentes:googlescopusHand Gesture Recognition and Tracking Control for a Virtual UR5 Robot Manipulator
Conference ObjectAbstract: Human-machine interfaces (HMIs) have received an increased attention during the past decades, speciaPalabras claves:Hand gesture recognition, Human Robot Interface, Movement Tracking, Virtual Robotic ManipulatorAutores:Alex Chico, Ángel Leonardo Valdivieso Caraguay, Juan Pablo Vasconez, Lorena Isabel Barona López, Marco E. Benalcázar, Patricio J. Cruz, Patricio Javier Cruz Davalos, Robin AlvarezFuentes:googlescopus