Mostrando 4 resultados de: 4
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BCI system using a novel processing technique based on electrodes selection for hand prosthesis control
Conference ObjectAbstract: This work proposes an end-to-end model architecture, from feature extraction to classification usingPalabras claves:Bio-signals analysis, Brain computer interface, Embedded Systems, Fpga, Neural networksAutores:Alisson Constantine, Diego Hernán Peluffo-Ordóñez, Enrique Pelaez, Francis R. Loayza, Victor Asanza ArmijosFuentes:scopusEEG signal clustering for motor and imaginary motor tasks on hands and feet
Conference ObjectAbstract: Modern technologies use Brain Computer Interfaces (BCI) to control devices or prosthesis for peoplePalabras claves:Brain computer interface, Butterworth Filter, DBscan, Direct Current Artifacts, electroencephalography, Fast fourier transform, hierarchical-clustering, k-medoids, kmeans, power spectral density, Spectral clusteringAutores:Enrique Pelaez, Francis R. Loayza, Victor Asanza ArmijosFuentes:googlescopusSSVEP-EEG signal classification based on emotiv EPOC BCI and raspberry pi
Conference ObjectAbstract: This work presents the experimental design for recording Electroencephalography (EEG) signals in 20Palabras claves:Brain computer interface, classification, Data acquisition, Machine learning, SSVEP-EEG, XGBoostAutores:Enrique Pelaez, Félix Rosales-Uribe, Francis R. Loayza, Hector Trivino-Gonzalez, Jamil Torres-Brunes, Karla Avilés-Mendoza, Raquel Tinoco-Egas, Ricardo Cajo, Victor Asanza ArmijosFuentes:scopusSupervised pattern recognition techniques for detecting motor intention of lower limbs in subjects with cerebral palsy
Conference ObjectAbstract: Cerebral Palsy (CP) is one of the major conditions that prevent subjects suffering from having freePalabras claves:Brain computer interface, Cerebral palsy, electroencephalography, Machine learning, motor intentionsAutores:Enrique Pelaez, Francis R. Loayza, Victor Asanza ArmijosFuentes:scopus