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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(6)
Communications in Computer and Information Science(4)
Proceedings of the 2014 IEEE Central America and Panama Convention, CONCAPAN 2014(1)
RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao(1)
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Fisiología humana(6)
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scopus(12)
Comparison among physiological signals for biometric identification
Conference ObjectAbstract: The biometric is an open research field that requires analysis of new techniques to increase its accPalabras claves:biometric, Classifiers mixture, Multimodal system, physiological signals, Signal processingAutores:Alvarez-Uribe K.C., Diego Hernán Peluffo-Ordóñez, Miguel A. Becerra, Moreno-Revelo M.Y., Ortega-Adarme M.Fuentes:scopusAnalysis of motor imaginary BCI within multi-environment scenarios using a mixture of classifiers
Conference ObjectAbstract: Brain-computer interface (BCI) is a system that provides communication between human beings and machPalabras claves:Brain-Computer Interface, ENVIRONMENTS, Mixture of classifiers, Signal processingAutores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Marín-Castrillón D.M., Miguel A. Becerra, Moreno-Revelo M.Y., Ortega-Adarme M.Fuentes:scopusData fusion and information quality for biometric identification from multimodal signals
ArticleAbstract: Biometric identification is carried out by processing physiological traits and signals. Biometrics sPalabras claves:Biometry, data fusion, information quality, Signal processingAutores:Andrés Viveros, Diego Hernán Peluffo-Ordóñez, Laura Daniela Lasso-Arciniegas, Miguel A. Becerra, Serna-Guarin L., Tobon C.Fuentes:scopusData fusion applied to biometric identification – A review
Conference ObjectAbstract: There is a growing interest in data fusion oriented to identification and authentication from biometPalabras claves:biometric, data fusion, Multimodal systems, physiological signals, Signal processingAutores:Camilo Zapata-Hernandez, Duque C.M., Gonzalez M.E., Luna J.A.G., Miguel A. Becerra, Rojas-Idarraga Y.K.Fuentes:scopusExploratory Study of the Effects of Cardiac Murmurs on Electrocardiographic-Signal-Based Biometric Systems
Conference ObjectAbstract: The process of distinguishing among human beings through the inspection of acquired data from physicPalabras claves:Biometric identification, Cardiac murmur, Electrocardiographic signal, Signal processingAutores:Camilo Zapata-Hernandez, Carolina M. Duque-Mejía, Delgadotrejos E., Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Miguel A. Becerra, Serna-Guarin L., Xiomara P. Blanco-ValenciaFuentes:scopusFeature Extraction Analysis for Emotion Recognition from ICEEMD of Multimodal Physiological Signals
Conference ObjectAbstract: The emotions identification is a very complex task due to depending on multiple variables individualPalabras claves:Emotion recognition, Improved complementary ensemble empirical mode decomposition, Multimodal, physiological signals, Signal processingAutores:A. E. Castro-Ospina, Carolina M. Duque-Mejía, Cristian Mejía-Arboleda, Diego Hernán Peluffo-Ordóñez, Gomez-Lara J.F., Javier E. Revelo-Fuelagán, Miguel A. Becerra, Ordóñez-Bolaños O.A., Rodríguez J.L.Fuentes:scopusElectroencephalographic signals and emotional states for tactile pleasantness classification
Conference ObjectAbstract: Haptic textures are alterations of any surface that are perceived and identified using the sense ofPalabras claves:Electroencephalographic signal, Sensorial stimulus, Signal processing, Tactile pleasantnessAutores:A. E. Castro-Ospina, Cristian Mejía-Arboleda, Diego Hernán Peluffo-Ordóñez, Durango J., Londoño-Delgado E., Miguel A. Becerra, Pelaez-Becerra S.M.Fuentes:scopusNon-generalized Analysis of the Multimodal Signals for Emotion Recognition: Preliminary Results
Conference ObjectAbstract: Emotions are mental states associated with some stimuli, and they have a relevant impact on the peopPalabras claves:Emotion recognition, physiological signals, Signal processingAutores:A. E. Castro-Ospina, Camilo Zapata-Hernandez, Carolina M. Duque-Mejía, Cristian Mejía-Arboleda, Diego Hernán Peluffo-Ordóñez, Londoño-Delgado E., Miguel A. BecerraFuentes:scopusOdor pleasantness classification from electroencephalographic signals and emotional states
Conference ObjectAbstract: Odor identification refers to the capability of the olfactory sense for discerning odors. The interePalabras claves:Electroencephalographic signal, Emotion, Odor pleasantness, Sensorial stimuli, Signal processingAutores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Londoño-Delgado E., Marín-Castrillón D.M., Miguel A. Becerra, Pelaez-Becerra S.M., Serna-Guarin L.Fuentes:scopusLow Resolution Electroencephalographic-Signals-Driven Semantic Retrieval: Preliminary Results
Conference ObjectAbstract: Nowadays, there exist high interest in the brain-computer interface (BCI) systems, and there are mulPalabras claves:Electroencephalographic signal, Machine learning, Semantic category, Semantic retrieval, Signal processingAutores:Botero-Henao O.I., Cristian Mejía-Arboleda, Diego Hernán Peluffo-Ordóñez, Londoño-Delgado E., Marín-Castrillón D.M., Miguel A. BecerraFuentes:scopus