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Título del libro:
Título del capítulo: Immersive EEG Signal Analysis and Eye Tracking in Decision Making

Autores UNAM:
JESUS GERARDO HERNANDEZ FALCON; KARINA MENDOZA ANGELES;
Autores externos:

Idioma:

Año de publicación:
2025
Palabras clave:

Bioinformatics; Patient rehabilitation; Virtualization; Beta band; Decisions makings; EEG signals analysis; Eye-tracking; Fourier; Immersive; Immersive environment; Motor behaviours; Theoretical methods; User friendly; Electroencephalography


Resumen:

Currently, derived from the advancement of technology and the need to make processes more user-friendly, reliable, and faster for both the professional or interested party and the patient, immersive environments have been seen as an area of opportunity to create settings as close as possible to everyday activities. These environments allow professionals to obtain information from which diagnostic, therapeutic, rehabilitation, treatment, or acceptance decisions can be made based on less empirical and more theoretical methods supported by other fields of study such as medicine and engineering. Therefore, in this work, we seek to establish a method supported by virtual reality using data from electroencephalograms and the motor behavior of the iris, so that there is a higher certainty index in the judgment and decision of a person regardless of the environment, context, or purpose of the information. So far, the tests and results obtained have been significant in improving the virtual environment, standardizing the process, and ensuring the proper analysis of the data. Once the process is standardized, it will be sufficient to partially alter the virtual reality environment according to the specific needs of the interested party. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.


Entidades citadas de la UNAM: