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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
Sensors(2)
Advances in Intelligent Systems and Computing(1)
Applied Sciences (Switzerland)(1)
Engineering Applications of Artificial Intelligence(1)
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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:googlescopusReal-time hand gesture recognition based on artificial feed-forward neural networks and EMG
Conference ObjectAbstract: In this paper, we propose a real-time hand gesture recognition model. This model is based on both aPalabras claves:Electromyography, Feature Extraction, Feed-forward neural networks, Hand gesture recognition, real-time, TIME SERIESAutores:Anchundia V. C.E., Andrés G. Jaramillo, Jonathan A. Zea, Marco E. Benalcázar, Marco Segura, Patricio ZambranoFuentes:scopusReal-time hand gesture recognition based on electromyographic signals and artificial neural networks
Conference ObjectAbstract: In this paper, we propose a hand gesture recognition model based on superficial electromyographic siPalabras claves:artificial neural networks, Electromyography, Hand gesture recognition, Machine learning, Signal processingAutores:Cristhian Motoche, Marco E. BenalcázarFuentes:scopusReal-time hand gesture recognition using surface electromyography and machine learning: A systematic literature review
ReviewAbstract: Today, daily life is composed of many computing systems, therefore interacting with them in a naturaPalabras claves:Computer interaction, Electromyography, Hand gesture recognition, Human, Machine learning, Real-time systems, Systematic literature reviewAutores:Andrés Jaramillo-Yánez, Elisa Mena-Maldonado, Marco E. BenalcázarFuentes:scopusRecognition 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