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ETCM 2021 - 5th Ecuador Technical Chapters Meeting(1)
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A 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 Review of Learning-Based Traffic Accident Pbkp_rediction Models and Their Opportunities to Improve Information Security
OtherAbstract: The World Health Organization (WHO) affirms that the first cause of death for people 5 to 29 years oPalabras claves:Autores:Ángel Leonardo Valdivieso Caraguay, Lorena Isabel Barona LópezFuentes:googleA Systematic Literature Review of Learning-Based Traffic Accident Pbkp_rediction Models Based on Heterogeneous Sources
ReviewAbstract: Statistics affirm that almost half of deaths in traffic accidents were vulnerable road users, such aPalabras claves:deep learning, heterogeneous sources, Machine learning, neural network, traffic accident pbkp_redictionAutores:Ángel Leonardo Valdivieso Caraguay, Myriam Hernández-Alvarez, Pablo MarcilloFuentes: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: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: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: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