A Noninvasive Brain-Actuated Wheelchair Based on a P300 Neurophysiological Protocol and Automated Navigation

By Iñaki Iturrate, Javier Mauricio Antelis, Andrea Kübler, Javier Minguez. IEEE Transactions on robotics, 2009

544 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/90e29047da9310c52f7285ebc5c8c1f3c5a0f812

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

1. Brendan Z. Allison
2. Andrea Kübler
3. Tom Carlson
4. José del R. Millán
5. Luis F. Nicolás-Alonso
6. Jaime Gómez Gil
7. Ganesh R. Naik
8. Christoph Guger

In Cognitive Neuroscience

1. Brendan Z. Allison
2. Andrea Kübler
3. Luis F. Nicolás-Alonso
4. Jaime Gómez Gil
5. Eric W. Sellers
6. Tom Carlson
7. Christoph Guger
8. Reza Fazel-Rezai

In Human-Computer Interaction

1. Brendan Z. Allison
2. Andrea Kübler
3. Luis F. Nicolás-Alonso
4. Jaime Gómez Gil
5. José del R. Millán
6. Tom Carlson
7. Christoph Guger
8. Reza Fazel-Rezai

Citations in the corpus

• P300 brain computer interface: current challenges and emerging trends (2012, background): “, 2008) or to control a wheelchair (Iturrate et al., 2009).”
• Brain Computer Interfaces, a Review (2012, background): “[292] overcame this shortcoming by making the system create a dynamic reconstruction of the surrounding scenario.”
• Current Status, Challenges, and Possible Solutions of EEG-Based Brain-Computer Interface: A Comprehensive Review (2020, methodology): “However, in contrast to LDA, SVM selects the hyperplanes that maximize the margins, that is, the distance between the nearest training samples and the hyperplanes (Burges, 1998).”
• Progress in Brain Computer Interface: Challenges and Opportunities (2019, background): “Brain signals can be translated to drive wheelchairs [107], [108].”
• Autonomy in Rehabilitation Robotics: An Intersection (2018, unknown): “This latter partitioning remains widely employed in more recent works as well (67, 76, 119, 110).”
• EEG-Based Brain-Controlled Mobile Robots: A Survey (2013, methodology): “Other used metrics are task completion time or mission time (used in [2], [33], and [55]), path length traveled (used in [33], [35], and [55]), number of collisions (used in [33] and [34]), and BCI accuracy (used in [33], [34], and [55]).”
• Brain-Controlled Wheelchairs: A Robotic Architecture (2013, methodology): “posed on a representation of the surrounding environment [6].”
• A comprehensive review of EEG-based brain–computer interface paradigms (2019, unknown): “It has also been used to control a humanoid robot [103], and to navigate a wheelchair [110, 115].”