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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 fuzzy-based driver assistance system using human cognitive parameters and driving style information
ArticleAbstract: Reducing the number of traffic accidents due to human errors is an urgent need in several countriesPalabras claves:Driver assistance system, fuzzy logic, Human cognition, Human Robot InteractionAutores:Cheein F.A.A., Juan Pablo Vasconez, Leonardo Guevara, Michelle ViscaínoFuentes:scopusAn 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:scopusHand 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:googlescopusFinding a Proper Approach to Obtain Cognitive Parameters from Human Faces under Illumination Variations
Conference ObjectAbstract: Extract and recognize face features can become a difficult problem, especially in environments withPalabras claves:Autores:Cheein F.A.A., Juan Pablo VasconezFuentes:scopusSleepiness Detection for Cooperative Vehicle Navigation Strategies
Conference ObjectAbstract: Human-robot interaction (HRI) techniques has become important in the resolution of problems that canPalabras claves:Autores:Cheein F.A.A., Juan Pablo VasconezFuentes:scopusOn the design of a human–robot interaction strategy for commercial vehicle driving based on human cognitive parameters
ArticleAbstract: A proper design of human–robot interaction strategies based on human cognitive factors can help to cPalabras claves:cognitive parameters, convolutional object detection, cooperative driving, Human–robot interaction, sleepiness detectionAutores:Carvajal D., Cheein F.A.A., Juan Pablo VasconezFuentes: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