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PERVASIVE
2010
Springer
13 years 11 months ago
On the Use of Brain Decoded Signals for Online User Adaptive Gesture Recognition Systems
Activity and context recognition in pervasive and wearable computing ought to continuously adapt to changes typical of open-ended scenarios, such as changing users, sensor characte...
Kilian Förster, Andrea Biasiucci, Ricardo Cha...
ICPR
2002
IEEE
14 years 5 months ago
Supervised Training Based Hand Gesture Recognition System
We have developed a hand gesture recognition system, based on the shape analysis of static gestures, for Human Computer Interaction purposes. Our appearance-based recognition uses...
Attila Licsár, Tamás Szirányi
JUCS
2006
185views more  JUCS 2006»
13 years 4 months ago
The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain States
We outline the Berlin Brain-Computer Interface (BBCI), a system which enables us to translate brain signals from movements or movement intentions into control commands. The main co...
Benjamin Blankertz, Guido Dornhege, Steven Lemm, M...
CACM
2011
134views more  CACM 2011»
12 years 8 months ago
Brain-computer interfaces for communication and control
For many years people have speculated that electroencephalographic activity or other electrophysiological measures of brain function might provide a new non-muscular channel for s...
Dennis J. McFarland, Jonathan R. Wolpaw
ICANN
2009
Springer
13 years 2 months ago
Mental Tasks Classification for a Noninvasive BCI Application
Mapping brain activity patterns in external actions has been studied in recent decades and is the base of a brain-computer interface. This type of interface is extremely useful for...
Alexandre Ormiga G. Barbosa, David Ronald A. Diaz,...