When using eye movements for cursor control in human-computer interaction (HCI), it may be difficult to find an appropriate substitute for the click operation. Most approaches make use of dwell times. However, in this context the so-called Midas-Touch-Problem occurs which means that the system wrongly interprets fixations due to long processing times or spontaneous dwellings of the user as command. Lately it has been shown that brain-computer interface (BCI) input bears good prospects to overcome this problem using imagined hand movements to elicit a selection. The current approach tries to develop this idea further by exploring potential signals for the use in a passive BCI, which would have the advantage that the brain signals used as inp...
Contains fulltext : 99949.pdf (publisher's version ) (Open Access)Background: Visu...
EEG-based brain computer interfaces (BCI) allow users to communicate with the outside world directly...
A brain-computer interface (BCI) is a system that can measure and convert brain activity into artifi...
When using eye movements for cursor control in human-computer interaction (HCI), it may be difficult...
A brain-computer interface (BCl) establishes a new pathway for control and communication that occurs...
Background: The contingent negative variation (CNV) is a negative shift in electroencephalography (E...
Brain-computer interfaces (BCIs) are tools for controlling computers and other devices without using...
Abstract—Anticipation increases the efficiency of daily tasks by partial advance activation of neura...
Advances in cognitive neuroscience and brain imaging technologies have started to provide us with th...
Currently, Brain Computer Interfaces (BCI) are of limited practical use requiring prolonged user tra...
International audienceBrain-Computer Interfaces (BCI) allow users to interact with machines without ...
Wobrock D, Finke A, Mey S, Koester D, Schack T, Ritter H. Fixation-Related Potentials as a Measure f...
Self-paced Brain computer interface (SBCI) systems allow individuals with motor disabilities to use ...
A Brain-Computer Interface (BCI) is a system that allows for direct communication between the brain ...
Designing a self-paced brain computer interface (BCI) that works reliably across human subjects has ...
Contains fulltext : 99949.pdf (publisher's version ) (Open Access)Background: Visu...
EEG-based brain computer interfaces (BCI) allow users to communicate with the outside world directly...
A brain-computer interface (BCI) is a system that can measure and convert brain activity into artifi...
When using eye movements for cursor control in human-computer interaction (HCI), it may be difficult...
A brain-computer interface (BCl) establishes a new pathway for control and communication that occurs...
Background: The contingent negative variation (CNV) is a negative shift in electroencephalography (E...
Brain-computer interfaces (BCIs) are tools for controlling computers and other devices without using...
Abstract—Anticipation increases the efficiency of daily tasks by partial advance activation of neura...
Advances in cognitive neuroscience and brain imaging technologies have started to provide us with th...
Currently, Brain Computer Interfaces (BCI) are of limited practical use requiring prolonged user tra...
International audienceBrain-Computer Interfaces (BCI) allow users to interact with machines without ...
Wobrock D, Finke A, Mey S, Koester D, Schack T, Ritter H. Fixation-Related Potentials as a Measure f...
Self-paced Brain computer interface (SBCI) systems allow individuals with motor disabilities to use ...
A Brain-Computer Interface (BCI) is a system that allows for direct communication between the brain ...
Designing a self-paced brain computer interface (BCI) that works reliably across human subjects has ...
Contains fulltext : 99949.pdf (publisher's version ) (Open Access)Background: Visu...
EEG-based brain computer interfaces (BCI) allow users to communicate with the outside world directly...
A brain-computer interface (BCI) is a system that can measure and convert brain activity into artifi...