Documentos de Carolina M. Duque-Mejía | REDI

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Área de conocimiento: "Aprendizaje automático"

Subtipo de publicación

Conference Object(3)

Publisher

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)

2019 IEEE 10th Latin American Symposium on Circuits and Systems, LASCAS 2019 - Proceedings(1)

Área temáticas

Fisiología humana(2)

Funcionamiento de bibliotecas y archivos(1)

Interacción social(1)

Métodos informáticos especiales(1)

Procesos mentales conscientes e inteligencia(1)

Área de conocimiento

Ciencias de la computación(2)

Año de Publicación

Origen

Palabras Claves

Emotion recognition(2)

Signal processing(2)

physiological signals(2)

Improved complementary ensemble empirical mode decomposition(1)

Feature Extraction Analysis for Emotion Recognition from ICEEMD of Multimodal Physiological Signals

Conference Object

Abstract: The emotions identification is a very complex task due to depending on multiple variables individual

Palabras claves:

Emotion recognition, Improved complementary ensemble empirical mode decomposition, Multimodal, physiological signals, Signal processing

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.

Non-generalized Analysis of the Multimodal Signals for Emotion Recognition: Preliminary Results

Conference Object

Abstract: Emotions are mental states associated with some stimuli, and they have a relevant impact on the peop

Palabras claves:

Emotion recognition, physiological signals, Signal processing

A. E. Castro-Ospina, Camilo Zapata-Hernandez, Carolina M. Duque-Mejía, Cristian Mejía-Arboleda, Diego Hernán Peluffo-Ordóñez, Londoño-Delgado E., Miguel A. Becerra

Recognition of emotions using ICEEMD-based characterization of multimodal physiological signals

Conference Object

Abstract: Physiological-signal-Analysis-based approaches are typically used for automatic emotion identificati

Palabras claves:

Carolina M. Duque-Mejía, Cristian Mejía-Arboleda, Diego Hernán Peluffo-Ordóñez, Gomez-Lara J.F., Medrano-David D., Miguel A. Becerra, Ordóñez-Bolaños O.A.