Mostrando 9 resultados de: 9
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Advances in Intelligent Systems and Computing(2)
2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(1)
25th European Signal Processing Conference, EUSIPCO 2017(1)
ETCM 2021 - 5th Ecuador Technical Chapters Meeting(1)
European Signal Processing Conference(1)
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Métodos informáticos especiales(6)
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Ciencias de la computación(3)
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'Spanish Políglota': An automatic Speech Recognition system based on HMM
Conference ObjectAbstract: The goal of this ASR system is to be able to recognize audio queries that request static translationPalabras claves:ASR, Automatic speech recognition, Grapheme-to-Phoneme Conversion, HMM, HTK, Julius, Spanish, VoxforgeAutores:Jonathan A. Zea, Josafá de Jesus Aguiar PontesFuentes: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:scopusAn Open-Source Data Acquisition and Manual Segmentation System for Hand Gesture Recognition based on EMG
Conference ObjectAbstract: Due to lack of standardization in the data acquisition process, Hand Gesture Recognition literaturePalabras claves:EMG, gForce Pro, Hand gesture recognition, HGR, matlab, Myo ArmbandAutores:Ángel Leonardo Valdivieso Caraguay, Jonathan A. Zea, Lorena Isabel Barona López, Marco E. BenalcázarFuentes:googlescopusFeature 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: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:scopusSign language recognition using wearable electronics: Implementing K-nearest neighbors with dynamic time warping and convolutional neural network algorithms
ArticleAbstract: We propose a sign language recognition system based on wearable electronics and two different classiPalabras claves:Classifiers, Gesture recognition, IMU, Sensory glove, Sign Language, Wearable electronicsAutores:Cavallo P., Errico V., Jonathan A. Zea, Marco E. Benalcázar, Ricci M., Saggio G.Fuentes:googlescopusReal-Time Hand Gesture Recognition: A Long Short-Term Memory Approach with Electromyography
Conference ObjectAbstract: Hand gestures are a non-verbal type of communication ideally suited for Human-Machine Interaction. NPalabras claves:EMG, Hand gesture recognition, LSTM, Myo ArmbandAutores:Jonathan A. Zea, Marco E. BenalcázarFuentes:googlescopusReal-time hand gesture recognition based on artificial feed-forward neural networks and EMG
Conference ObjectAbstract: In this paper, we propose a real-time hand gesture recognition model. This model is based on both aPalabras claves:Electromyography, Feature Extraction, Feed-forward neural networks, Hand gesture recognition, real-time, TIME SERIESAutores:Anchundia V. C.E., Andrés G. Jaramillo, Jonathan A. Zea, Marco E. Benalcázar, Marco Segura, Patricio ZambranoFuentes:scopusReal-time hand gesture recognition using the Myo armband and muscle activity detection
Conference ObjectAbstract: Hand gesture recognition consists of identifying the class and the instant of occurrence of a givenPalabras claves:EMG, Hand gesture recognition, Machine learning, muscle activity detection, Myo Armband, REAL TIMEAutores:Anchundia V. C.E., Andrés G. Jaramillo, Cristhian Motoche, Freddy Benalcazar Palacios, Jonathan A. Zea, Marco E. Benalcázar, Marco Segura-Morales, María Perez, Patricio ZambranoFuentes:scopus