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pro vyhledávání: '"Paola Martínez-Arias"'
Autor:
Dustin Carrión-Ojeda, Paola Martínez-Arias, Rigoberto Fonseca-Delgado, Israel Pineda, Héctor Mejía-Vallejo
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-24 (2024)
Abstract Biometric systems are essential tools in modern society where most of our personal information lives in digital form. Although there is a significant variety of biometrics, electroencephalogram (EEG) signals are a useful technique to guarant
Externí odkaz:
https://doaj.org/article/60e5964bc82b4c83be5e4410c3a9531a
Publikováno v:
Software Impacts. 8:100062
EBAPy is an easy-to-use Python framework intended to help in the development of EEG-based applications. It allows performing an in-depth analysis of factors that influence the performance of the system and its computational cost. These factors includ