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» Rehabilitation with Brain-Computer Interface Systems
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WSCG
2004
188views more  WSCG 2004»
13 years 10 months ago
Recognition of Motor Imagery Electroencephalography Using Independent Component Analysis and Machine Classifiers
Motor imagery electroencephalography (EEG), which embodies cortical potentials during mental simulation of left or right finger lifting tasks, can be used as neural input signals ...
Chih-I. Hung, Po-Lei Lee, Yu-Te Wu, Hui-Yun Chen, ...
IROS
2008
IEEE
177views Robotics» more  IROS 2008»
14 years 3 months ago
Estimating arm motion and force using EMG signals: On the control of exoskeletons
— There is a great effort during the last decades towards building robotic devices that are worn by humans. These devices, called exoskeletons, are used mainly for support and re...
Panagiotis K. Artemiadis, Kostas J. Kyriakopoulos
NIPS
2008
13 years 10 months ago
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance
From an information-theoretic perspective, a noisy transmission system such as a visual Brain-Computer Interface (BCI) speller could benefit from the use of errorcorrecting codes....
N. Jeremy Hill, Jason Farquhar, Suzanna Martens, F...
CHI
2008
ACM
14 years 9 months ago
Technology in mental health
Mental illness has been identified as one of the greatest challenges facing society in the coming decades. However, there are significant barriers to access for many people suffer...
Gavin Doherty, John Sharry, Magnus Bång, Mar...
IJCNN
2008
IEEE
14 years 3 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