Discrimination in Good-Trained Brain States for Brain Computer Interface
Autor: | Yoshihide Igarashi, Tadashi Funada, Mariko Funada |
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Rok vydání: | 2015 |
Předmět: | |
Zdroj: | Foundations of Augmented Cognition ISBN: 9783319208152 HCI (15) |
DOI: | 10.1007/978-3-319-20816-9_19 |
Popis: | BCI (brain computer interface) is particularly important for HCI. Some of recent results concerning BCI made a great contribution to the development of the HCI research area. In this paper we define “good-trained brain states”, and then propose a method for discriminating good-trained brain states from other states. We believe that repetitious training might be effective to human brains. Human brain reactions can be quantified by ERPs (event related potentials). We analyze the data of ERPs reflecting the brain reactions, and then discuss the effect of repetitious training to the brain states. |
Databáze: | OpenAIRE |
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