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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 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: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:googlescopusRecognition of Hand Gestures Based on EMG Signals with Deep and Double-Deep Q-Networks
ArticleAbstract: In recent years, hand gesture recognition (HGR) technologies that use electromyography (EMG) signalsPalabras claves:deep Q-network, Double-Deep Q-Network, Electromyography, Hand gesture recognition, reinforcement learningAutores:Ángel Leonardo Valdivieso Caraguay, Juan Pablo Vasconez, Lorena Isabel Barona López, Marco E. BenalcázarFuentes:googlescopus