Daniel Sánchez-Reolid

According to our database, Daniel Sánchez-Reolid authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Binary Classification Methods for Movement Analysis from Functional Near-Infrared Spectroscopy Signals.

Daniel Sánchez-Reolid, Roberto Sánchez-Reolid, José Luis Gómez-Sirvent, Alejandro L. Borja, José M. Ferrández, Antonio Fernández-Caballero

Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

2023

Pleasure and Displeasure Identification from fNIRS Signals.

Daniel Sánchez-Reolid, Roberto Sánchez-Reolid, Antonio Fernández-Caballero, Alejandro L. Borja

Proceedings of the Ambient Intelligence - Software and Applications, 2023

Generic Architecture for Multisource Physiological Signal Acquisition, Processing and Classification Based on Microservices.

Roberto Sánchez-Reolid, Daniel Sánchez-Reolid, Clara Ayora, José Luis de la Vara, António Pereira, Antonio Fernández-Caballero

Proceedings of the Distributed Computing and Artificial Intelligence, 2023

2022

Machine Learning Techniques for Arousal Classification from Electrodermal Activity: A Systematic Review.

Roberto Sánchez-Reolid, Francisco López de la Rosa, Daniel Sánchez-Reolid, María T. López, Antonio Fernández-Caballero

Sensors, 2022

Acquisition and Synchronisation of Multi-source Physiological Data Using Microservices and Event-Driven Architecture.

Roberto Sánchez-Reolid, Daniel Sánchez-Reolid, António Pereira, Antonio Fernández-Caballero

Proceedings of the Ambient Intelligence - Software and Applications, 2022

Electroencephalographic Signal Processing from Brain-Computer-Interface Following Image-Based Emotion Induction.

Eloy García-Pérez, Daniel Sánchez-Reolid, Roberto Sánchez-Reolid, Antonio Fernández-Caballero, José Miguel Latorre, Alejandro L. Borja

Proceedings of the Ambient Intelligence - Software and Applications, 2022

2021

Feature and Time Series Extraction in Artificial Neural Networks for Arousal Detection from Electrodermal Activity.

Roberto Sánchez-Reolid, Francisco López de la Rosa, Daniel Sánchez-Reolid, María T. López, Antonio Fernández-Caballero

Proceedings of the Advances in Computational Intelligence, 2021