Listar Grupo de Tecnoloxía Electrónica e Comunicacións (GTEC) por autor "Laport López, Francisco"

Mostrando ítems 1-10 de 10

    • A Comparative Study of Low Cost Open Source EEG Devices 

      Laport López, Francisco; Vázquez Araújo, Francisco Javier; Iglesia, Daniel I.; Castro-Castro, Paula-María; Dapena, Adriana (MDPI AG, 2019-08-05)
      [Abstract] A comparison of two open source electroencephalography devices designed to acquire signals associated to the brain activity is presented in this work. The experiments are developed considering the task of ...

    • A Prototype of EEG System for IoT 

      Laport López, Francisco; Dapena, Adriana; Castro-Castro, Paula-María; Vázquez Araújo, Francisco Javier; Iglesia, Daniel I. (World Scientific Publishing Co. Pte. Ltd., 2020-05-04)
      [Abstract] In this work, we develop open source hardware and software for eye state classification and integrate it with a protocol for the Internet of Things (IoT). We design and build the hardware using a reduced number ...

    • A Scalable Approach to Independent Vector Analysis by Shared Subspace Separation for Multi-Subject fMRI Analysis 

      Sun, Mingyu; Gabrielson, Ben; Akhonda, Mohammad Abu Baker Siddique; Yang, Hanlu; Laport López, Francisco; Calhoun, Vince; Adali, Tülay (MDPI, 2023-06)
      [Abstract]: Joint blind source separation (JBSS) has wide applications in modeling latent structures across multiple related datasets. However, JBSS is computationally prohibitive with high-dimensional data, limiting the ...

    • Brain-Computer Interfaces for Internet of Things 

      Laport López, Francisco; Vázquez Araújo, Francisco Javier; Castro-Castro, Paula-María; Dapena, Adriana (M D P I AG, 2018-09-17)
      [Abstract] A brain-computer interface for controlling elements commonly used at home is presented in this paper. It includes the electroencephalography device needed to acquire signals associated to the brain activity, the ...

    • Exploratory Research on Sweetness Perception: Decision Trees to Study Electroencephalographic Data and Its Relationship with the Explicit Response to Sweet Odor, Taste, and Flavor 

      Romeo-Arroyo, Elena; Soria, Javier; Mora, María; Laport López, Francisco; Moreno-Fernandez-de-Leceta, Aitor; Vázquez-Araújo, Laura (Multidisciplinary Digital Publishing Institute (MDPI), 2022)
      Using implicit responses to determine consumers’ response to different stimuli is becoming a popular approach, but research is still needed to understand the outputs of the different technologies used to collect data. ...

    • Eye State Detection Using Frequency Features from 1 or 2-Channel EEG 

      Laport López, Francisco; Dapena, Adriana; Castro-Castro, Paula-María; Iglesia, Daniel I.; Vázquez Araújo, Francisco Javier (World Scientific Publishing, 2023)
      [Abstract]: Brain–computer interfaces (BCIs) establish a direct communication channel between the human brain and external devices. Among various methods, electroencephalography (EEG) stands out as the most popular choice ...

    • Eye State Identification Based on Discrete Wavelet Transforms 

      Laport López, Francisco; Castro-Castro, Paula-María; Dapena, Adriana; Vázquez Araújo, Francisco Javier; Fresnedo, Óscar (MDPI, 2021)
      [Abstract]: We present a prototype to identify eye states from electroencephalography signals captured from one or two channels. The hardware is based on the integration of low-cost components, while the signal processing ...

    • Implementación de una suite gráfica para reforzar el aprendizaje en representación de contenido multimedia 

      Fresnedo, Óscar; Laport López, Francisco; Castro-Castro, Paula-María; Dapena, Adriana; Vázquez Araújo, Francisco Javier (2019)
      [Resumen]: Las prácticas de las asignaturas en los grados de Ingeniería Informática se diseñan habitualmente para que los estudiantes formulen y construyan la solución a un determinado problema usando algún lenguaje de ...

    • Proposals and Comparisons from One-Sensor EEG and EOG Human-Machine Interfaces 

      Laport López, Francisco; Iglesia, Daniel I.; Dapena, Adriana; Castro-Castro, Paula-María; Vázquez Araújo, Francisco Javier (MDPI AG, 2021-03-22)
      [Abstract] Human-Machine Interfaces (HMI) allow users to interact with different devices such as computers or home elements. A key part in HMI is the design of simple non-invasive interfaces to capture the signals associated ...

    • Study of Machine Learning Techniques for EEG Eye State Detection 

      Laport López, Francisco; Castro-Castro, Paula-María; Dapena, Adriana; Vázquez Araújo, Francisco Javier; Iglesia, Daniel I. (MDPI AG, 2020-08-31)
      [Abstract] A comparison of different machine learning techniques for eye state identification through Electroencephalography (EEG) signals is presented in this paper. (1) Background: We extend our previous work by studying ...