Abstract
Brain-Computer Interfaces (BCIs) are playing an increasingly
important role in a broad spectrum of applications in
health, industry, education, and entertainment. We present
a novel, mobile and non-invasive BCI for advanced robot
control that is based on a brain imaging method known as
functional near-infrared spectroscopy (fNIRS). This BCI is
based on the concept of “automated autonomous intention
execution” (AutInEx), that is, the automated execution of
possibly very complex actions and action sequences intended
by a human through an autonomous robot.
important role in a broad spectrum of applications in
health, industry, education, and entertainment. We present
a novel, mobile and non-invasive BCI for advanced robot
control that is based on a brain imaging method known as
functional near-infrared spectroscopy (fNIRS). This BCI is
based on the concept of “automated autonomous intention
execution” (AutInEx), that is, the automated execution of
possibly very complex actions and action sequences intended
by a human through an autonomous robot.
| Original language | English |
|---|---|
| Title of host publication | fNIRS-based BCI for Robot Control |
| Publication status | Published - 2015 |
Keywords
- Robotics
- Brain-computer interface
- Functional near-infrared spectroscopy
Cite this
Tumanov, K., Goebel, R., Möckel, R., Sorger, B., & Weiss, G. (2015). fNIRS-based BCI for Robot Control. In fNIRS-based BCI for Robot Control