Now showing items 1-10 of 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 ...
    • Avaliación 4.0: avaliación cooperativa en metodoloxías con aprendizaxe invertida 

      Castro-Castro, Paula-María; Dapena, Adriana; Vázquez Araújo, Francisco Javier; Laport López, Francisco (Universidade da Coruña, Cufie, 2019)
      [Resumo] A palabra CAMBIO describe claramente a situación da Educación a todos os niveis (primaria, secundaria e superior) na nosa comunidade e fóra dela, polo que nos preguntamos se estamos preparados para este cambio. ...
    • 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 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 ...
    • Incorporación de Trabajos Fin de Grado breves en la docencia 

      Dapena, Adriana; Castro-Castro, Paula-María; Vázquez Araújo, Francisco Javier; Laport López, Francisco (Universidade da Coruña, Cufie, 2019)
      [Resumen] Los autores de esta ponencia participamos de forma activa tanto en la dirección de Trabajos Fin de Grado (TFG) como en los tribunales que los evalúan. Nuestra experiencia nos indica que, en general, los estudiantes ...
    • Novel Developments of Brain-Computer Interfaces for Smart Home Control 

      Laport López, Francisco (2022)
      [Resumo] Neste traballo analizamos e desenvolvemos novas Interfaces Home-Máquina (HMI) que faciliten a comunicación e a interacción de persoas que sofren problemas motrices severos, coa súa contorna e dispositivos cotiáns ...
    • 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 ...