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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 ...
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 ...
New Computation of Resolving Connected Dominating Sets in Weighted Networks
(M D P I AG, 2019-11-29)
[Abstract] In this paper we focus on the issue related to finding the resolving connected dominating sets (RCDSs) of a graph, denoted by G. The connected dominating set (CDS) is a connected subset of vertices of G selected ...
Una experiencia de aprendizaje basado en proyectos en Ingeniería Informática
(Educación Editora, 2019)
[Resumen]: El Plan Bolonia ha provocado una profunda reforma de la
enseñanza universitaria, no solo en el planteamiento de las titulaciones,
sino también en las metodologías docentes y en las técnicas de evaluación,
entre ...
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 ...
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 ...