EarDrive. Desarrollo de un sistema de discriminación de alertas sonoras en la conducción para personas con discapacidad auditiva

El desarrollo de las nuevas tecnologías permite avanzar hacia sistemas de conducción autónoma de vehículos en escenarios cada vez más complejos. En este proyecto se plantea desarrollar un sistema móvil que ayude a personas con discapacidad auditiva en la conducción de su vehículo. En concreto, se plantea desarrollar una aplicación para un dispositivo móvil que escuche los sonidos ambientales de la conducción y pueda discriminar algunos de los que pudieran constituir una alerta para el conductor. Como resultado, el dispositivo avisará por distintos medios no auditivos al conductor de la alerta producida

Avaliación 4.0: avaliación cooperativa en metodoloxías con aprendizaxe invertida

[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. Vivimos na Sociedade da Información, unha sociedade en constante evolución que transforma tamén a Educación, de xeito que cómpre falar de Educación na Sociedade da Información. Este traballo xorde da vontade duns docentes por cambiar “algo” na súa docencia máis ou menos tradicional. Un dos aspectos máis críticos para os estudantes é, sen dúbida, a avaliación. A avaliación forma parte do proceso de aprendizaxe principalmente para determinar o grao de adquisición de competencias e adaptar o proceso educativo segundo as características do estudante ou grupo de estudantes. A responsabilidade da mesma é tradicionalmente do profesor, co que estamos a excluír o alumno deste elemento fundamental da educación. A demanda de roles de avaliación invertidos é crecente, polo que neste traballo propoñemos unha AVALIACION 4.0. Nela, estudantes e profesores comparten o rol de árbitros no proceso de aprendizaxe involucrando de xeito activo os primeiros, non só como deseñadores de probas ou instrumentos de avaliación, senón tamén como co-avaliadores, un rol innovador que, por analoxía coa aula invertida, leva a unha avaliación invertida.[Abstract] The word CHANGE clearly describes the state-of-the-art of Education at all levels (primary, secondary and higher) in our community and outside of it, so we are wondering if we are prepared for such a change. We live in the Information Society, which is continuously evolving and Education changes with it. Thus talking about Education in the Information Society is mandatory. This work arises from the willingness of some professors of higher education to change "something" in their more or less traditional teaching. The assessment is definitely the most critical aspect of the learning process from the point of view of students. The assessment determines the degree of acquisition of competences and adapts the educational process according to the characteristics of the student or group of students. The professor is traditionally responsible for that, so students are excluded from that task. The demand for flipping assessment roles is growing, and therefore in this work we propose what we denote 4.0 ASSESSMENT. Both students and teachers will share the role of referees in the learning process by actively involving students not only as designers of assessment tests and instruments but also as coevaluators, an innovative role that takes us by analogy with the flipped classroom to flipped assessmen

Incorporación de Trabajos Fin de Grado breves en la docencia

[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 demuestran haber adquirido las competencias de la titulación de forma satisfactoria, pero muestran carencias en competencias transversales, como la expresión oral y escrita. Esto nos ha llevado a plantear la incorporación de "TFG breves" en las asignaturas que impartimos en los últimos cursos de las titulaciones. La realización de los “TFG breves” sigue una metodología de Aprendizaje Basado en Proyectos (ABP) que se centra en la resolución de problemas o retos por parte del estudiante, dándole la oportunidad de trabajar de manera relativamente autónoma durante la mayor parte del tiempo y que culmina con la presentación de un producto final. Los “TFG breves” son elaborados por grupos de 2 o 3 estudiantes. El desarrollo es supervisado por el profesorado, permitiendo que gradualmente los estudiantes vayan responsabilizándose del trabajo. Además de desarrollar el proyecto, los estudiantes deben escribir una memoria y preparar una presentación oral de acuerdo con la normativa del TFG de su titulación. Un tribunal, formado por un profesor y por estudiantes, se encarga de revisar la memoria, realizar preguntas durante la presentación y emitir una calificación individual. El proceso termina con una reunión del profesorado con cada uno de los grupos para comentar los aspectos fuertes y débiles del proyecto desarrollado. Con esta metodología, intentamos contribuir a la adquisición de competencias transversales: la autonomía y el trabajo en grupo; la expresión oral y escrita; y la reflexión autocrítica. Además, buscamos que los estudiantes de los últimos cursos se familiaricen con las herramientas necesarias para la elaboración del TFG y con el procedimiento de defensa. AGRADECIMIENTOS: Los autores de este trabajo forman parte del Grupo de Innovación Educativa en Metodologías Activas y Tecnologías Emergentes en la Enseñanza Superior (MATEes), de la Universidade da Coruñ

Eye State Identification Based on Discrete Wavelet Transforms

[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 algorithms combine discrete wavelet transform and linear discriminant analysis. We consider different parameters: nine different wavelets and two features extraction strategies. A set of experiments performed in real scenarios allows to compare the performance in order to determine a configuration with high accuracy and short response delay.Xunta de Galicia; ED431C 2020/15Xunta de Galicia; ED431G2019/01Xunta de Galicia; ED481A-2018/156This work has been funded by the Xunta de Galicia (by grant ED431C 2020/15 and grant ED431G2019/01 to support the Centro de Investigación de Galicia “CITIC”), the Agencia Estatal de Investigación of Spain (by grants RED2018-102668-T and PID2019-104958RB-C42) and ERDF funds of the EU (FEDER Galicia & AEI/FEDER, UE); and the predoctoral Grant No. ED481A-2018/156 (Francisco Laport)

A Comparative Study of Low Cost Open Source EEG Devices

[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 determining the user eye state i.e., open eyes or closed eyes, applying an algorithm based on computing the sliding Fourier Transform of the captured signals.Xunta de Galicia; ED481A-2018/15

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

[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 with the user’s intentions. In this work, we have designed two different approaches based on Electroencephalography (EEG) and Electrooculography (EOG). For both cases, signal acquisition is performed using only one electrode, which makes placement more comfortable compared to multi-channel systems. We have also developed a Graphical User Interface (GUI) that presents objects to the user using two paradigms—one-by-one objects or rows-columns of objects. Both interfaces and paradigms have been compared for several users considering interactions with home elements.Xunta de Galicia; ED431C 2020/15Xunta de Galicia; ED431G2019/01Agencia Estatal de Investigación de España; RED2018-102668-TAgencia Estatal de Investigación de España; PID2019-104958RB-C42Xunta de Galicia; ED481A-2018/156This work has been funded by the Xunta de Galicia (by grant ED431C 2020/15, and grant ED431G2019/01 to support the Centro de Investigación de Galicia “CITIC”), the Agencia Estatal de Investigación of Spain (by grants RED2018-102668-T and PID2019-104958RB-C42) and ERDF funds of the EU (FEDER Galicia & AEI/FEDER, UE); and the predoctoral Grant No. ED481A-2018/156 (Francisco Laport

A Prototype of EEG System for IoT

[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 of components and with a very low-cost. Moreover, we propose a method for the detection of open eyes (oE) and closed eyes (cE) states based on computing a power ratio between different frequency bands of the acquired signal. We compare several real- and complex-valued transformations combined with two decision strategies: a threshold-based method and a linear discriminant analysis. Simulation results show both classifier accuracies and their corresponding system delays.Xunta de Galicia; ED431G2019/01)Agencia Estatal de Investigación de España; TEC2016-75067-C4-1-RXunta de Galicia; ED481A-2018/156Xunta de Galicia; ED431G 2019/01This work has been funded by the Xunta de Galicia (ED431G2019/01), the Agencia Estatal de Investigacion of Spain (TEC2016-75067-C4-1-R) and ERDF funds of the EU (AEI/FEDER, UE), and the predoctoral Grant No. ED481A-2018/156 (Francisco Laport). CITIC as a Research Centre of the Galician University System is financed by the Conselleria de Educacion, Universidades e Formacion Profesional (Xunta de Galicia) through the ERDF (80%), Operational Programme ERDF Galicia 2014–2020 and the remaining 20% by the Secretaria Xeral de Universidades (Ref. ED431G 2019/01

Selection of sEMG-based Configuration for a Hand Gesture Recognition System

[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 by muscle contractions to control external devices. However, determining the optimal configuration for such systems in a given scenario remains as a challenging task. The challenges arise from two main factors: the growing number of available feature extraction methods and classification algorithms, and the necessity of designing control systems that prioritize user comfort, with considerations such as a reduced number of electrodes and fast reaction times. In this paper we propose a method to determine the most suitable configuration for an EMG system by considering three crucial parameters in control systems: reaction time, accuracy, and the required number of channels.Xunta de Galicia (grants ED431C 2020/15 and ED481B 2022/012), MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR (grant TED2021-130240B-I00 (IVRY)). CITIC, as a center accredited for excellence within the Galician University System and a member of the CIGUS Network, receives subsidies from the Department of Education, Science, Universities, and Vocational Training of the Xunta de Galicia. Additionally, it is co-financed by the EU through the FEDER Galicia 2021-27 operational program (Ref. ED431G 2023/01).Xunta de Galicia; ED431C 2020/15Xunta de Galicia; ED481B 2022/012Xunta de Galicia; ED431G 2023/0

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

© The Author(s) This is an Open Access article published by World Scientific Publishing Company. It is distributed under the terms of the Creative Commons Attribution 4.0 (CC BY) License which permits use, distribution and reproduction in any medium, provided the original work is properly cited.[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 for BCI design due to its non-invasiveness, ease of use, and cost-effectiveness. This paper aims to present and compare the accuracy and robustness of an EEG system employing one or two channels. We present both hardware and algorithms for the detection of open and closed eyes. Firstly, we utilize a low-cost hardware device to capture EEG activity from one or two channels. Next, we apply the discrete Fourier transform to analyze the signals in the frequency domain, extracting features from each channel. For classification, we test various well-known techniques, including Linear Discriminant Analysis (LDA), Support Vector Machine (SVM), Decision Tree (DT), or Logistic Regression (LR). To evaluate the system, we conduct experiments, acquiring signals associated with open and closed eyes, and compare the performance between one and two channels. The results demonstrate that employing a system with two channels and using SVM, DT, or LR classifiers enhances robustness compared to a single-channel setup and allows us to achieve an accuracy percentage greater than 95% for both eye states.This work has been supported by Grant No. ED431C 2020/15 funded by Xunta de Galicia and ERDF Galicia 2014–2020; by Grant No. PID2019-104958RB-C42 (ADELE) funded by MCIN/AEI/10.13039/501100 011033; and by project TED2021-130240B-I00 (IVRY) funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGeneration EU/PRTR and by the postdoctoral Grant No. ED481B 2022/012 funded by Xunta de Galicia.Xunta de Galicia; ED431C 2020/15Xunta de Galicia; ED481B 2022/01

Reproducibility and Replicability in Neuroimaging: Constrained IVA as an Effective Assessment Tool

The congress was held in Lyon, France, 26 - 30 August 2024[Abstract]: Matrix decomposition techniques have been successfully applied in the analysis of multi-subject functional magnetic resonance imaging (fMRI) data. These data-driven approaches that assume the linear blind source separation (BSS) problem can yield an unsupervised and fully interpretable solution when there is a good model match. However, selecting a suitable model order that provides an accurate model match is an important challenge. Replicability and computational reproducibility are two key aspects that are also intimately related to interpretability. Despite clear evidence that solutions with poor reproducibility can lead to suboptimal results, the evaluation of reproducibility in matrix decomposition techniques remains limited in the existing literature. We propose the use of constrained independent vector analysis (cIVA), a state-of-the-art joint BSS technique, to assess the influence of model order selection for replicability and reproducibility. We demonstrate the attractiveness of cIVA for replicability by alleviating permutation ambiguity as well as enabling additional quantification opportunities. Our results show that highly reproducible model orders achieve a good model match with highly interpretable and replicable solutions when cIVA is applied to four different resting-state fMRI datasets.This work is supported in part by the grants NSF 2316420, NIH R01MH118695, NIH R01MH123610, NIH R01AG073949, Xunta de Galicia (grants ED431C 2020/15 and ED481B 2022/012), MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR (grant TED2021-130240B-I00 (IVRY))United States. National Science Foundation; 2316420United States. National Institutes of Health; R01MH118695United States. National Institutes of Health; R01MH123610United States. National Institutes of Health; R01AG07394