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pro vyhledávání: '"Guillermo Ramos-Auñón"'
Autor:
Guillermo Ramos-Auñón, Inma Mohino-Herranz, Héctor A. Sánchez-Hevia, David Ayllón, Cosme Llerena-Aguilar
Publikováno v:
Modelling, Identification and Control / 827: Computational Intelligence.
In this paper, we propose a computationally-efficient EEGbased stress detection that uses only two non-invasive electrodes. The system is designed to classify between two situations: high stress level or low stress level. A linear classifier is train
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5816c4091aae97019e904f90f01e9349
https://doi.org/10.2316/p.2015.827-023
https://doi.org/10.2316/p.2015.827-023
