Mostrando 10 resultados de: 24
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Advances in Intelligent Systems and Computing(3)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(2)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
Sensors (Switzerland)(2)
2018 IEEE 3rd Ecuador Technical Chapters Meeting, ETCM 2018(1)
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Bayes clustering operators for known random labeled point processes
Conference ObjectAbstract: There is a widespread belief that clustering is inherently subjective. To quote A. K. Jain, 'As a taPalabras claves:Autores:Brun M., Dalton L.A., Dougherty E.R., Marco E. BenalcázarFuentes:googlescopusAn interactive system to improve cognitive abilities using electromyographic signals
Conference ObjectAbstract: This article presents a system for improving people's cognitive abilities using electromyography (EMPalabras claves:Hand-Gesture Recognition Mode, matlab, Serious Game, Support Vector Machine, Unity 3DAutores:Ángel Leonardo Valdivieso Caraguay, Freddy Benalcazar Palacios, Jaime R. Guilcapi, Lorena Isabel Barona López, Marco E. Benalcázar, Rubén Nogales, Xavier AguasFuentes:googlescopus2D semantic segmentation of the prostate gland in magnetic resonance images using convolutional neural networks
Conference ObjectAbstract: Convolutional Neural Networks is one of the most commonly used methods for automatic prostate segmenPalabras claves:Central Gland, convolutional neural networks, Encoder-Classifier, Encoder-Decoder, MRIs, NCI-ISBI 2013, Peripheral Zone, Prostate Segmentation, U-net, VGG16Autores:Marco E. Benalcázar, Silvia P. VacacelaFuentes:googlescopusA Brain-Computer Interface for Controlling IoT Devices using EEG Signals
Conference ObjectAbstract: Motor disability is the loss of the ability to move a limb of the body. Motor disabilities make diffPalabras claves:Bci, EEG, IOT, k-NNAutores:Kelvin Ortíz Chicaiza, Marco E. BenalcázarFuentes:scopusA 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 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:googlescopusAn 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