Publikation

Controlling by Thought? – Brain Computer Interfaces and Embedded Brain Reading – An Introduction

Elsa Andrea Kirchner

Bericht DFKI GmbH, Universität Bremen DFKI Documents (D) 14-07 11/2014.

Abstrakt

Machines, like PCs or robots, can be controlled by brain signals. Brain activity is often used to reestablish communication and control for human that are disabled to move or to communicate. Brain computer interfaces, which are used to link the human brain with a machine, do often require the attention of the human to enable explicit control. For such approaches it is unimportant how and which brain signal is used. Highest relevance has robustness and easiness. Using brain activity for the support of healthy people brings new challenges. Adding the link between brain and machine must not require extra cognitive resources from the human. Thus, for many applications a rather passive approach that uses brain activity implicitly should be chosen. However, beside the question on how to use brain activity, i.e., implicitly or explicitly, other questions are also relevant for the development of intelligent and intuitive interfaces for control or support. For example, other technical or physiological data can improve reliability but bring along challenges for signal processing and classification and must be handled by adequate software frameworks.

Controlling_by_Thought___Brain_Computer_Interfaces_and_Embedded.pdf (pdf, 15 MB)

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence