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FDD Channel Estimation Via Covariance Estimation in Wideband Massive MIMO Systems
(M D P I AG, 2020-02-10)
[Abstract] A method for channel estimation in wideband massive Multiple-Input Multiple-Output systems using hybrid digital analog architectures is developed. The proposed method is useful for Frequency-Division Duplex at ...
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 ...
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 ...
Service-Learning Projects in University Degrees Based on Sustainable Development Goals: Proposals and Results
(MDPI AG, 2020-09-25)
[Abstract]
We present several Service-Learning projects developed considering Sustainable Development Goals to provide the students skills for the support of a sustainable society. This project begins with collecting ...
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 ...
PICTOTEMPO: An App for Personal Organization in Autism Spectrum Disorders
(MDPI, 2021)
[Abstract] In this work, we develop a mobile application which allows to create digital schedules for children with autism spectrum disorder. These schedules comprise a sorted sequence of tasks or activities which facilitates ...
Development of Dual Activities with Micro:Bit for Interventions in People with Cerebral Palsy
(MDPI, 2021-10-12)
[Abstract] Several studies have shown that video games help to motivate users in different kinds of therapies. Therefore, in this work we developed a tool that includes dual activities for therapy, as well as a data system ...
PreLectO: An App for Cognitive Stimulation through Games in Early Childhood
(MDPI, 2021)
[Abstract] The goal of this work was to develop a mobile application for Android devices, with the objective of stimulating the cognitive skills of children from 0 to 6 years old who are suffering from learning disabilities, ...
Moving to e-Service Learning in Higher Education
(MDPI, 2022)
[Abstract] Service Learning is a methodology in which students achieve academic and transversal competences related to the curriculum of a subject while performing a service for the benefit of the community. With the ...