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Advances in Intelligent Systems and Computing(4)
ETCM 2021 - 5th Ecuador Technical Chapters Meeting(3)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(2)
Communications in Computer and Information Science(2)
European Signal Processing Conference(2)
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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 Model for Real-Time Hand Gesture Recognition Using Electromyography (EMG), Covariances and Feed-Forward Artificial Neural Networks
Conference ObjectAbstract: Hand gesture recognition has many applications that require models to work in real time and with higPalabras claves:classification, EMG signals, Feed-forward neural networks, Hand gesture recognition, Myo ArmbandAutores:Anchundia V. C.E., Andrés Jaramillo-Yánez, José González, Marco E. Benalcázar, Marco Segura, Patricio ZambranoFuentes:scopusA 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 Novel Technique for Improving the Robustness to Sensor Rotation in Hand Gesture Recognition Using sEMG
Conference ObjectAbstract: Hand gesture recognition consists of identifying the class among a set of classes of a hand movementPalabras claves:Hand gesture recognition, SEMG, SVMAutores:Alex F. Oña, Marco E. Benalcázar, Patricio J. Cruz, Patricio Javier Cruz Davalos, Victor Hugo VimosFuentes:googlescopusA Survey on Hand Gesture Recognition Using Machine Learning and Infrared Information
Conference ObjectAbstract: The research consists in the hand gestures are movements that convey information and thus complementPalabras claves:Hand gesture recognition, Infrared information, Machine learning, Survey, Systematic literature reviewAutores:Marco E. Benalcázar, Rubén NogalesFuentes: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:googlescopusConstruction of a Dataset for Static and Dynamic Hand Tracking Using a Non-invasive Environment
Conference ObjectAbstract: The research consists of hand gesture recognition using a commercial sensor called Leap Motion ContrPalabras claves:Acquisition system, Hand gesture recognition, Non-invasive monitoringAutores:Alexis Palate, Bryan Toalumbo, Javier Vargas, Marco E. Benalcázar, Ronnie Martinez, Rubén NogalesFuentes: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:googlescopus