The Defense Advanced Research Projects Agency (DARPA) has funded innovative scientific research and technology developments in the field of brain-computer interfaces (BCI) since the 1970s. This review highlights some of DARPA's major advances in the field of BCI, particularly those made in recent years. Two broad categories of DARPA programs are presented with respect to the ultimate goals of s...

Brain Computer Interfaces (BCI) provide a non-muscular communication channel for people with severe motor impairment. The most commonly used BCI for communication is the so called P300-Speller that received its name from the event-related potential (ERP) P300 which is elicited by the speller (oddball) paradigm. Several researchers reported that it is not only the P300 but also other ERPs that a...

Mental-Imagery based Brain-Computer Interfaces (MI-BCIs) allow their users to send commands to a computer via their brain activity, measured while they are performing specific mental tasks. While very promising (e.g., assistive technologies for motor-disabled patients) MI-BCI remain barely used outside laboratories because of the difficulty encountered by users to control such systems. Indeed, ...

OBJECTIVE Brain-computer interfaces (BCIs) have the potential to be valuable clinical tools. However, the varied nature of BCIs, combined with the large number of laboratories participating in BCI research, makes uniform performance reporting difficult. To address this situation, we present a tutorial on performance measurement in BCI research. APPROACH A workshop on this topic was held at th...

Recently, many groups (see Zander and Kothe. Towards passive brain–computer interfaces: applying brain–computer interface technology to human–machine systems in general. J. Neural Eng., 8, 2011) have worked toward expanding brain-computer interface (BCI) systems to include not only active control, but also passive mental state monitoring to enhance humancomputer interaction (HCI). Many studies ...

of the Thesis Adaptive BCI-Controller For Dynamic Systems by Golnaz Eftekhari Yazdi Master of Science in Electrical and Computer Engineering Northeastern University, July 2015 Dr. Deniz Erdogmus, Adviser This thesis introduces a new approach to design an adaptive proportional controller for dynamic systems controlled by Brain Computer Interfaces (BCIs). Brain-controlled robots are being develop...

© The Author(s) 2014 C. Guger et al. (eds.), Brain-Computer Interface Research, SpringerBriefs in Electrical and Computer Engineering, DOI 10.1007/978-3-319-09979-8_2 The major driving force behind the development of brain computer interfaces (BCI) has been the desire to re-establish communication for severely paralyzed or even locked-in patients. As a consequence, different strategies have bee...

This paper describes our work on a portable non-invasive brain-computer interface (BCI), called Adaptive Brain Interfaces (ABI), that analysis online the user’s spontaneous electroencephalogram (EEG) signals from which a neural classifier recognizes 3 different mental states. The outputs of the classifier are used as mental commands to operate communication and control devices. Although still a...