A brain-actuated wheelchair: asynchronous and non-invasive Brain-computer interfaces for continuous control of robots.
Ferran Galán,Ferran Galán,Marnix Nuttin,Eileen Lew,Pierre W. Ferrez,G. Vanacker,Johan Philips,J. del R. Millan,J. del R. Millan +8 more
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TLDR
The results show that subjects can rapidly master the authors' asynchronous EEG-based BCI to control a wheelchair and can autonomously operate the BCI over long periods of time without the need for adaptive algorithms externally tuned by a human operator to minimize the impact of EEG non-stationarities.About:
This article is published in Clinical Neurophysiology.The article was published on 2008-09-01 and is currently open access. It has received 644 citations till now. The article focuses on the topics: Wheelchair.read more
Citations
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Journal ArticleDOI
Brains and Blocks: Introducing Novice Programmers to Brain-Computer Interface Application Development
TL;DR: It is suggested that visual programming assists novice programmers with building basic BCI applications; however, students may experience understanding and learning barriers initially.
Journal ArticleDOI
Control and Ownership of Neuroprosthetic Speech.
Hannah Maslen,Stephen Rainey +1 more
TL;DR: This paper provides an analysis of the control afforded to the user of a speech BCI of the sort under development, as well as the relationships between accuracy, control, and the user’s ownership of the speech produced, and argues that, whilst goal selection is the more significant locus of control for the users of a movement BCI, control over process will be more significant for theuser of thespeech BCI.
EEG-Based Brain-Controlled Mobile Robots:
Luzheng Bi,Xin-an Fan,Yili Liu +2 more
TL;DR: A comprehensive review of the complete systems, key techniques, and evaluation issues of brain-controlled mobile robots along with some insights into related future research and development issues is provided.
Proceedings ArticleDOI
A brain-machine interface to navigate mobile robots along human-like paths amidst obstacles
TL;DR: This paper presents an interface that allows a human user to specify a desired path for a mobile robot in a planar workspace with noisy binary inputs that are obtained at low bit-rates through an electroencephalograph (EEG).
Journal ArticleDOI
Powered off-road wheelchair for the transportation of tetraplegics along mountain trails.
Michele Gabrio Antonelli,Stefano Alleva,Pierluigi Beomonte Zobel,Francesco Durante,Terenziano Raparelli +4 more
TL;DR: An innovative user-centered power assisted off-road wheelchair for the transportation of tetraplegics along mountain trails was developed and revealed the real possibility of a full recreational experience, an enhanced participation and a better social integration of tetraplegics.
References
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Journal ArticleDOI
Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates
Jose M. Carmena,Mikhail A. Lebedev,Roy E. Crist,Joseph E. O'Doherty,David M. Santucci,Dragan F. Dimitrov,Parag G. Patil,Craig S. Henriquez,Miguel A. L. Nicolelis +8 more
TL;DR: It is demonstrated that primates can learn to reach and grasp virtual objects by controlling a robot arm through a closed-loop brain–machine interface (BMIc) that uses multiple mathematical models to extract several motor parameters from the electrical activity of frontoparietal neuronal ensembles.
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Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans
TL;DR: It is shown that a noninvasive BCI that uses scalp-recorded electroencephalographic activity and an adaptive algorithm can provide humans, including people with spinal cord injuries, with multidimensional point-to-point movement control that falls within the range of that reported with invasive methods in monkeys.
Journal ArticleDOI
A spelling device for the paralysed
Niels Birbaumer,N. Ghanayim,Thilo Hinterberger,Iver H. Iversen,Boris Kotchoubey,Andrea Kübler,J. Perelmouter,Edward Taub,Herta Flor +8 more
TL;DR: A new means of communication for the completely paralysed that uses slow cortical potentials of the electro-encephalogram to drive an electronic spelling device is developed.