Finite-state transducers in language and speech processing
Computational Linguistics
Brain Computer Interfaces for inclusion
Proceedings of the 1st Augmented Human International Conference
Simulating the feel of brain-computer interfaces for design, development and social interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visual evoked potential-based brain-machine interface applications to assist disabled people
Expert Systems with Applications: An International Journal
BCI-based navigation in virtual and real environments
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
Artificial Intelligence in Medicine
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We have previously demonstrated that an EEG-controlled web browser based on self-regulation of slow cortical potentials (SCPs) enables severely paralyzed patients to browse the internet independently of any voluntary muscle control. However, this system had several shortcomings, among them that patients could only browse within a limited number of web pages and had to select links from an alphabetical list, causing problems if the link names were identical or if they were unknown to the user (as in graphical links). Here we describe a new EEG-controlled web browser, called Nessi, which overcomes these shortcomings. In Nessi, the open source browser, Mozilla, was extended by graphical in-place markers, whereby different brain responses correspond to different frame colors placed around selectable items, enabling the user to select any link on a web page. Besides links, other interactive elements are accessible to the user, such as e-mail and virtual keyboards, opening up a wide range of hypertext-based applications.