EEG feature classification for precise motion control of artificial hand
DE Kim, JH Yu, KB Sim - Journal of the Korean Institute of …, 2015 - koreascience.kr
Brain-computer interface (BCI) is being studied for convenient life in various application
fields. The purpose of this study is to investigate a changing electroencephalography (EEG) …
fields. The purpose of this study is to investigate a changing electroencephalography (EEG) …
An enhanced classification scheme with AdaBoost concept in BCI
JH Kim, YM Yang - Journal of Intelligent & Fuzzy Systems, 2018 - content.iospress.com
EEG (Electroencephalography)-based motor imagery signal classification is very important
in brain-computer interface (BCI) technology. In this paper, we improve a classification …
in brain-computer interface (BCI) technology. In this paper, we improve a classification …
Optimization system of musical expression for the music genre classification
Recently, the introduction of CT (Culture Technology) in the intelligence system was forming
a new paradigm. Among these, research on musical fountain is still in the basic research …
a new paradigm. Among these, research on musical fountain is still in the basic research …
Some considerations of common spatial pattern for better classification in brain-computer interfaces
JH Kim, YM Yang - International Journal of Telemedicine …, 2018 - inderscienceonline.com
EEG-based motor imagery signal classification is very important in brain-computer interface
(BCI) technology. In this work, we develop a common spatial pattern (CSP) technique for …
(BCI) technology. In this work, we develop a common spatial pattern (CSP) technique for …