Safety Critical Computer Systems
Safety Critical Computer Systems
Controlling a Wheelchair Indoors Using Thought
IEEE Intelligent Systems
Context-based filtering for assisted brain-actuated wheelchair driving
Computational Intelligence and Neuroscience - EEG/MEG Signal Processing
Modeling dynamic scenarios for local sensor-based motion planning
Autonomous Robots
An information pipeline model of human-robot interaction
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
Human brain-teleoperated robot between remote places
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Synchronous EEG brain-actuated wheelchair with automated navigation
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Human brain-teleoperated robot between remote places
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Presence: Teleoperators and Virtual Environments
Assessing Fit of Nontraditional Assistive Technologies
ACM Transactions on Accessible Computing (TACCESS)
Mental tasks-based brain-robot interface
Robotics and Autonomous Systems
Audio-cued SMR brain-computer interface to drive a virtual wheelchair
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Visual evoked potential-based brain-machine interface applications to assist disabled people
Expert Systems with Applications: An International Journal
Indoor and outdoor mobility for an intelligent autonomous wheelchair
ICCHP'12 Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part II
Assisted navigation for a brain-actuated intelligent wheelchair
Robotics and Autonomous Systems
Design and evaluation of a picture-based P300 AAC system
i-CREATe '11 Proceedings of the 5th International Conference on Rehabilitation Engineering & Assistive Technology
The zigzag paradigm: a new P300-based brain computer interface
Proceedings of the 15th ACM on International conference on multimodal interaction
BCI-based navigation in virtual and real environments
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
Accessible Button Interfaces: Improving Accessibility for Brain-Injured and Other Disabled Users
International Journal of Web-Based Learning and Teaching Technologies
Investigating the Feasibility of a Robot-Based Writing Agent
Proceedings of the Second International Conference on Innovative Computing and Cloud Computing
Affective command-based control system integrating brain signals in commands control systems
Computers in Human Behavior
Interface based on electrooculography for velocity control of a robot arm
Applied Bionics and Biomechanics
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This paper describes a new noninvasive brainactuated wheelchair that relies on a P300 neurophysiological protocol and automated navigation. When in operation, the user faces a screen displaying a real-time virtual reconstruction of the scenario and concentrates on the location of the space to reach. A visual stimulation process elicits the neurological phenomenon, and the electroencephalogram (EEG) signal processing detects the target location. This location is transferred to the autonomous navigation system that drives the wheelchair to the desired location while avoiding collisions with obstacles in the environment detected by the laser scanner. This concept gives the user the flexibility to use the device in unknown and evolving scenarios. The prototype was validated with five healthy participants in three consecutive steps: screening (an analysis of three different groups of visual interface designs), virtual-environment driving, and driving sessions with the wheelchair. On the basis of the results, this paper reports the following evaluation studies: 1) a technical evaluation of the device and all functionalities; 2) a users' behavior study; and 3) a variability study. The overall result was that all the participants were able to successfully operate the device with relative ease, thus showing a great adaptation as well as a high robustness and low variability of the system.