とりあえず、Wolpaw McFarland の論文は、手の届くものは大体調べつくした。
見つからなかったので使えそうなのだけちょこっとメモ
彼らのグループの最新っぽい感じのヤツ２本
①
Brain-computer interface signal processing at the Wadsworth Center: mu and sensorimotor beta rhythms.
McFarland DJ, Krusienski DJ, Wolpaw JR.
Laboratory of Nervous System Disorders, Wadsworth Center, New York State Department of Health and State University of New York, Albany, NY 12201, USA. mcfarland@wadsworth.org
The Wadsworth brain-computer interface (BCI), based on mu and beta sensorimotor rhythms, uses one- and two-dimensional cursor movement tasks and relies on user training. This is a real-time closed-loop system. Signal processing consists of channel selection, spatial filtering, and spectral analysis. Feature translation uses a regression approach and normalization. Adaptation occurs at several points in this process on the basis of different criteria and methods. It can use either feedforward (e.g., estimating the signal mean for normalization) or feedback control (e.g., estimating feature weights for the prediction equation). We view this process as the interaction between a dynamic user and a dynamic system that coadapt over time. Understanding the dynamics of this interaction and optimizing its performance represent a major challenge for BCI research.
②
Brain-computer interface research at the wadsworth center developments in noninvasive communication and control.
Krusienski DJ, Wolpaw JR.
School of Engineering, University of North Florida, Jacksonville, Florida, USA.
Brain-computer interface (BCI) research at the Wadsworth Center focuses on noninvasive, electroencephalography (EEG)-based BCI methods for helping severely disabled individuals communicate and interact with their environment. We have demonstrated that these individuals, as well as able-bodied individuals, can learn to use sensorimotor rhythms (SMRs) to move a cursor rapidly and accurately in one and two dimensions. We have also developed a practical P300-based BCI that enables users to access and control the full functionality of their personal computer. We are currently translating this laboratory-proved BCI technology into a system that can be used by severely disabled individuals in their homes with minimal ongoing technical oversight. Our comprehensive approach to BCI design has led to several innovations that are applicable in other BCI contexts, such as space missions.
あと、"Control of two-dimension ..."の参考文献で見当たらなかったものをぽろぽろ
a,bの更新則に関するもの
19,25
bands selection, w初期値
24
ていうかWolpawの方しか名前知らんかったけど、
信号処理とかメインでやってんのはMcFarlandかもしれん。
見つからなかったので使えそうなのだけちょこっとメモ
彼らのグループの最新っぽい感じのヤツ２本
①
Brain-computer interface signal processing at the Wadsworth Center: mu and sensorimotor beta rhythms.
McFarland DJ, Krusienski DJ, Wolpaw JR.
Laboratory of Nervous System Disorders, Wadsworth Center, New York State Department of Health and State University of New York, Albany, NY 12201, USA. mcfarland@wadsworth.org
The Wadsworth brain-computer interface (BCI), based on mu and beta sensorimotor rhythms, uses one- and two-dimensional cursor movement tasks and relies on user training. This is a real-time closed-loop system. Signal processing consists of channel selection, spatial filtering, and spectral analysis. Feature translation uses a regression approach and normalization. Adaptation occurs at several points in this process on the basis of different criteria and methods. It can use either feedforward (e.g., estimating the signal mean for normalization) or feedback control (e.g., estimating feature weights for the prediction equation). We view this process as the interaction between a dynamic user and a dynamic system that coadapt over time. Understanding the dynamics of this interaction and optimizing its performance represent a major challenge for BCI research.
②
Brain-computer interface research at the wadsworth center developments in noninvasive communication and control.
Krusienski DJ, Wolpaw JR.
School of Engineering, University of North Florida, Jacksonville, Florida, USA.
Brain-computer interface (BCI) research at the Wadsworth Center focuses on noninvasive, electroencephalography (EEG)-based BCI methods for helping severely disabled individuals communicate and interact with their environment. We have demonstrated that these individuals, as well as able-bodied individuals, can learn to use sensorimotor rhythms (SMRs) to move a cursor rapidly and accurately in one and two dimensions. We have also developed a practical P300-based BCI that enables users to access and control the full functionality of their personal computer. We are currently translating this laboratory-proved BCI technology into a system that can be used by severely disabled individuals in their homes with minimal ongoing technical oversight. Our comprehensive approach to BCI design has led to several innovations that are applicable in other BCI contexts, such as space missions.
あと、"Control of two-dimension ..."の参考文献で見当たらなかったものをぽろぽろ
a,bの更新則に関するもの
19,25
bands selection, w初期値
24
ていうかWolpawの方しか名前知らんかったけど、
信号処理とかメインでやってんのはMcFarlandかもしれん。