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» Classification of Brain-Computer Interface Data
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ICML
2006
IEEE
15 years 10 months ago
Classifying EEG for brain-computer interfaces: learning optimal filters for dynamical system features
Classification of multichannel EEG recordings during motor imagination has been exploited successfully for brain-computer interfaces (BCI). In this paper, we consider EEG signals ...
Le Song, Julien Epps
CHI
2008
ACM
15 years 10 months ago
Where no interface has gone before: what can the phaser teach us about label usage in hci?
Most research on how people represent procedures suggests that control labels are central. However, our data suggest that even moderately-experienced users do not rely on labels t...
Franklin P. Tamborello II, Phillip H. Chung, Micha...
IJCNN
2008
IEEE
15 years 4 months ago
Incremental Common Spatial Pattern algorithm for BCI
— A major challenge in applying machine learning methods to Brain-Computer Interfaces (BCIs) is to overcome the on-line non-stationarity of the data blocks. An effective BCI syst...
Qibin Zhao, Liqing Zhang, Andrzej Cichocki, Jie Li
AVI
2010
14 years 10 months ago
An architecture and a visual interface for tagging the 3D web
Content classification performed by end users is spreading through the web. Most of the work done so far is related to the hypermedia web. In spite of that, there is a growing mas...
Fabio Pittarello
CHI
2006
ACM
15 years 10 months ago
Making memories: applying user input logs to interface design and evaluation
In this paper, we describe our approach to designing interface components that automate the logging of user input. These recorded logs of user-system interactions can serve as a b...
Tamara Babaian, Wendy T. Lucas, Heikki Topi