Nessi: An EEG-Controlled Web Browser for Severely Paralyzed Patients

• Main Authors: Michael Bensch, Ahmed A. Karim, Jürgen Mellinger, Thilo Hinterberger, Michael Tangermann, Martin Bogdan, Wolfgang Rosenstiel, Niels Birbaumer
• Format: Article
• Language: English
• Published: Hindawi Limited 2007-01-01
• Series: Computational Intelligence and Neuroscience
• Online Access: http://dx.doi.org/10.1155/2007/71863

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.