Mostrando 10 resultados de: 37
Filtros aplicados
Publisher
Advances in Intelligent Systems and Computing(4)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(3)
ETCM 2021 - 5th Ecuador Technical Chapters Meeting(3)
European Signal Processing Conference(3)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
Área temáticas
Ciencias de la computación(19)
Métodos informáticos especiales(19)
Física aplicada(12)
Funcionamiento de bibliotecas y archivos(4)
Instrumentos de precisión y otros dispositivos(3)
Área de conocimiento
Ciencias de la computación(29)
Aprendizaje automático(16)
Red neuronal artificial(6)
Inteligencia artificial(4)
Laboratorio médico(4)
Hand 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:googlescopusHand gesture recognition using machine learning and infrared information: a systematic literature review
ArticleAbstract: Currently, gesture recognition is like a problem of feature extraction and pattern recognition, in wPalabras claves:Gesture recognition, Infrared information, Machine learning, Systematic literature reviewAutores:Marco E. Benalcázar, Rubén NogalesFuentes:googlescopusHand gesture recognition using machine learning and the myo armband
Conference ObjectAbstract: Gesture recognition has multiple applications in medical and engineering fields. The problem of handPalabras claves:Autores:Andrés G. Jaramillo, Andrés Jaramillo-Yánez, Jonathan A. Zea, Marco E. Benalcázar, Víctor Hugo AndaluzFuentes:scopusFeature 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:googlescopusEducational Impact on Ecuadorian University Students Due to the COVID-19 Context
ArticleAbstract: The mobility restrictions imposed in different countries due to the pandemic of Sars-CoV2 has hugelyPalabras claves:covid-19, ECUADOR, Educational impact, PLS-SEM, SARS-COV2, University StudentsAutores:Ángel Leonardo Valdivieso Caraguay, Cesar J. Santacruz, Daniel Velastegui, Lorena Isabel Barona López, Marco E. Benalcázar, Victor Hugo VimosFuentes:scopusConstruction 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: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:scopus