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Brain-Computer Interfaces for Internet of Things
(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 ...
A Comparative Study of Low Cost Open Source EEG Devices
(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
(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 ...
Eye State Identification Based on Discrete Wavelet Transforms
(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 ...
Proposals and Comparisons from One-Sensor EEG and EOG Human-Machine Interfaces
(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 ...
Eye State Detection Using Frequency Features from 1 or 2-Channel EEG
(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 ...
Study of Machine Learning Techniques for EEG Eye State Detection
(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 ...
Implementación de una suite gráfica para reforzar el aprendizaje en representación de contenido multimedia
(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 ...
Selection of sEMG-based Configuration for a Hand Gesture Recognition System
(2024-08)
[Abstract]: In recent decades, extensive research has been
conducted on the analysis of Electromyography (EMG) signals,
aiming to establish a novel communication pathway that utilizes
the electrical activity generated ...