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2017 IEEE 2nd Ecuador Technical Chapters Meeting, ETCM 2017(2)
25th European Signal Processing Conference, EUSIPCO 2017(1)
European Signal Processing Conference(1)
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Hand 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:scopusReal-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:scopusReal-time hand gesture recognition with EMG using machine learning
Conference ObjectAbstract: In this paper, we propose the development of a model for real-time hand gesture recognition. We usePalabras claves:EMG(Electromyography), Hand gesture recognition, Machine learning, real-timeAutores:Andrés G. Jaramillo, Marco E. BenalcázarFuentes:scopus