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Mostrando ítems 1-7 de 7
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 ...
Development of Recreational Content with Micro:Bit for Intervention with People with Cerebral Palsy
(MDPI, 2020-09-04)
[Abstract]
This paper presents a project carried out to use games in therapies for people with cerebral
palsy. A Micro:bit board is used to have a friendly interaction between the user and the game.
Through a simple ...
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 ...
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, ...
Mobile Application for Analysing the Development of Motor Skills in Children
(MDPI AG, 2020-08-26)
[Abstract] This work presents a mobile application to complement and reinforce the specific physical activities in children through training prior to such activities and monitoring their progress after it. This experiment ...