Noninvasive brain-actuated control of a mobile robot by human EEG
By José del R. Millán, Frédéric Renkens, J. Mouriño, Wulfram Gerstner. IEEE Transactions on Biomedical Engineering, 2004
774 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/2e47b92db5f7887eef6b3750f8482f9441251236
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Benjamin Blankertz
- Brendan Z. Allison
- Jonathan R. Wolpaw
- Gert Pfurtscheller
- K. Müller
- Cuntai Guan
- Luis F. Nicolás-Alonso
- Jaime Gómez Gil
In Cognitive Neuroscience
- Benjamin Blankertz
- K. Müller
- Fabien Lotte
- Luis F. Nicolás-Alonso
- Jaime Gómez Gil
- Gert Pfurtscheller
- Brendan Z. Allison
- Jonathan R. Wolpaw
Citations in the corpus
- The BCI competition III: validating alternative approaches to actual BCI problems (2006, background): “ating a brain-actuated application [21], [22], the user does essentially the same as during the recording sessions.”
- Complex-Valued Neural Networks (2006, neutral): “, the conditions Ez[zz] — In and Ez[zz] = 0n are fulfilled [41].”
- EEG-Based Brain-Controlled Mobile Robots: A Survey (2013, methodology): “In 2004, the first EEG-based brain-controlled mobile robot was proposed by Mill´an et al. [20].”
- Control strategies for active lower extremity prosthetics and orthotics: a review (2015, positive): “This shared control approach limits the cognitive burden imposed on the user [45,46].”
- Brain-Computer Interfaces: A Gentle Introduction (2009, background): “An increasing number of systems allow control of more sophisticated devices, including orthoses, prostheses, robotic arms, and mobile robots [35–40].”
- Brain Computer Interfaces, a Review (2012, background): “Some pilot experiments concerned with locomotion illustrate the feasibility of using EEG signals for continuous control of a mobile robot in an indoor environment with several rooms, corridors, and doorways [215,289].”
- The brain–computer interface cycle (2009, background): “attention [17], mental arithmetic [53], mental rotation [54] and”
- Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery (2011, background): “For example, EEG-based control of an electric wheelchair has been reported in [9], and the feasibility of controlling a mobile robot by means of a non-invasive BCI has been demonstrated in [10].”