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Descripción
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| This paper presents a project, which aims to develop a low-cost Brain- Computer Interface (BCI), whose characteristics may allow educational institutions to improve the learning and evaluation methodologies applicable to a specific student. By collecting reliable electroencephalogram (EEG) data, the system will realize a cognitive state monitoring of the learner and will evaluate its brain activity to adapt the content and visualization of the learning material. Two main objectives have been established in order to determine the success of the investigation: Assess the use of contemporaneous low-cost EEG devices and applications as a proper method to obtain reliable results of the students? cognitive state. Develop signal-processing algorithms that allow identifying the cognitive state of the students as well as their working memory load (WML). | |
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Internacional
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Si |
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Nombre congreso
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1st International Conference on Intelligent Human Systems Integration (IHSI 2018): Integrating People and Intelligent Systems, January 7?9, 2018,D |
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Tipo de participación
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960 |
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Lugar del congreso
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Dubai, United Arab Emirates |
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Revisores
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Si |
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ISBN o ISSN
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978-3-319-73887-1 |
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DOI
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10.1007/978-3-319-73888-8 |
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Fecha inicio congreso
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07/01/2018 |
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Fecha fin congreso
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09/01/2018 |
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Desde la página
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237 |
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Hasta la página
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242 |
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Título de las actas
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Proceedings of the 1st International Conference on Intelligent Human Systems Integration (IHSI 2018): Integrating People and Intelligent Systems, January 7?9, 2018, Dubai, United Arab Emirates |