Designing Guiding Systems for Brain-Computer Interfaces

Designing Guiding Systems for Brain-Computer Interfaces

Brain-Computer Interface (BCI) community has focused the majority of its research efforts on signal processing and machine learning, mostly neglecting the human in the loop. Guiding users on how to use a BCI is crucial in order to teach them to produce stable brain patterns. In this work, we explore the instructions and feedback for BCIs in order to provide a systematic taxonomy to describe the...

Designing haptic computer interfaces for blind people

Certec has been working on touch interfaces – haptic interfaces – since 1995, exploring the possibilities they can offer people with different kinds of disabilities. With a haptic computer interface a blind person can learn mathematics by tracing touchable mathematical curves, playing haptic computer games, and gaining better access to graphical user interfaces like Windows. This paper presents...

Advancing Brain-Computer Interfaces for Robotic Embodiment Systems

Thanks to the rapid development of brain-computer interfaces (BCIs), users can control and communicate with external devices without performing a single muscle movement. BCIs allow this by detecting the control and communication signals directly at their source, i.e. the brain. This renders BCIs highly applicable in different domains and of special importance to users with physical impairments....

Semi-Supervised Classification for Intracortical Brain-Computer Interfaces Semi-Supervised Classification for Intracortical Brain-Computer Interfaces

Intracortical brain-computer interface (BCI) systems may one day allow paralyzed patients to interface with robotic arms or computer programs using their thoughts alone. However, a common and unaddressed issue with these systems is that due to small instabilities in the recorded signals, the decoding algorithms they rely upon must be retrained daily in a supervised manner. While this may be acc...

Metabolic Brain-Computer Interfaces