222 related articles for article (PubMed ID: 22256054)
1. A hybrid brain interface for a humanoid robot assistant.
Finke A; Knoblauch A; Koesling H; Ritter H
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():7421-4. PubMed ID: 22256054
[TBL] [Abstract][Full Text] [Related]
2. Control of a humanoid robot by a noninvasive brain-computer interface in humans.
Bell CJ; Shenoy P; Chalodhorn R; Rao RP
J Neural Eng; 2008 Jun; 5(2):214-20. PubMed ID: 18483450
[TBL] [Abstract][Full Text] [Related]
3. Challenge Accepted? Individual Performance Gains for Motor Imagery Practice with Humanoid Robotic EEG Neurofeedback.
Daeglau M; Wallhoff F; Debener S; Condro IS; Kranczioch C; Zich C
Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32183285
[TBL] [Abstract][Full Text] [Related]
4. Comparative Study of SSVEP- and P300-Based Models for the Telepresence Control of Humanoid Robots.
Zhao J; Li W; Li M
PLoS One; 2015; 10(11):e0142168. PubMed ID: 26562524
[TBL] [Abstract][Full Text] [Related]
5. A low-cost EEG system-based hybrid brain-computer interface for humanoid robot navigation and recognition.
Choi B; Jo S
PLoS One; 2013; 8(9):e74583. PubMed ID: 24023953
[TBL] [Abstract][Full Text] [Related]
6. Bridging the gap between motor imagery and motor execution with a brain-robot interface.
Bauer R; Fels M; Vukelić M; Ziemann U; Gharabaghi A
Neuroimage; 2015 Mar; 108():319-27. PubMed ID: 25527239
[TBL] [Abstract][Full Text] [Related]
7. The Effect of the Graphic Structures of Humanoid Robot on N200 and P300 Potentials.
Li M; Yang G; Xu G
IEEE Trans Neural Syst Rehabil Eng; 2020 Sep; 28(9):1944-1954. PubMed ID: 32746323
[TBL] [Abstract][Full Text] [Related]
8. Soft brain-machine interfaces for assistive robotics: A novel control approach.
Schiatti L; Tessadori J; Barresi G; Mattos LS; Ajoudani A
IEEE Int Conf Rehabil Robot; 2017 Jul; 2017():863-869. PubMed ID: 28813929
[TBL] [Abstract][Full Text] [Related]
9. A telepresence mobile robot controlled with a noninvasive brain-computer interface.
Escolano C; Antelis JM; Minguez J
IEEE Trans Syst Man Cybern B Cybern; 2012 Jun; 42(3):793-804. PubMed ID: 22180512
[TBL] [Abstract][Full Text] [Related]
10. A Brain-Robot Interaction System by Fusing Human and Machine Intelligence.
Mao X; Li W; Lei C; Jin J; Duan F; Chen S
IEEE Trans Neural Syst Rehabil Eng; 2019 Mar; 27(3):533-542. PubMed ID: 30716043
[TBL] [Abstract][Full Text] [Related]
11. Brain-Computer Interface-Based Humanoid Control: A Review.
Chamola V; Vineet A; Nayyar A; Hossain E
Sensors (Basel); 2020 Jun; 20(13):. PubMed ID: 32605077
[TBL] [Abstract][Full Text] [Related]
12. A comparison of three brain-computer interfaces based on event-related desynchronization, steady state visual evoked potentials, or a hybrid approach using both signals.
Brunner C; Allison BZ; Altstätter C; Neuper C
J Neural Eng; 2011 Apr; 8(2):025010. PubMed ID: 21436538
[TBL] [Abstract][Full Text] [Related]
13. Implementation of an SSVEP-based intelligent home service robot system.
Zhang Y; Gao Q; Song Y; Wang Z
Technol Health Care; 2021; 29(3):541-556. PubMed ID: 33074201
[TBL] [Abstract][Full Text] [Related]
14. Performance evaluation of 3D vision-based semi-autonomous control method for assistive robotic manipulator.
Ka HW; Chung CS; Ding D; James K; Cooper R
Disabil Rehabil Assist Technol; 2018 Feb; 13(2):140-145. PubMed ID: 28326859
[TBL] [Abstract][Full Text] [Related]
15. Brain-robot interface driven plasticity: Distributed modulation of corticospinal excitability.
Kraus D; Naros G; Bauer R; Leão MT; Ziemann U; Gharabaghi A
Neuroimage; 2016 Jan; 125():522-532. PubMed ID: 26505298
[TBL] [Abstract][Full Text] [Related]
16. Electroencephalography (EEG)-based brain-computer interface (BCI): a 2-D virtual wheelchair control based on event-related desynchronization/synchronization and state control.
Huang D; Qian K; Fei DY; Jia W; Chen X; Bai O
IEEE Trans Neural Syst Rehabil Eng; 2012 May; 20(3):379-88. PubMed ID: 22498703
[TBL] [Abstract][Full Text] [Related]
17. Codevelopmental learning between human and humanoid robot using a dynamic neural-network model.
Tani J; Nishimoto R; Namikawa J; Ito M
IEEE Trans Syst Man Cybern B Cybern; 2008 Feb; 38(1):43-59. PubMed ID: 18270081
[TBL] [Abstract][Full Text] [Related]
18. A novel EOG/EEG hybrid human-machine interface adopting eye movements and ERPs: application to robot control.
Ma J; Zhang Y; Cichocki A; Matsuno F
IEEE Trans Biomed Eng; 2015 Mar; 62(3):876-89. PubMed ID: 25398172
[TBL] [Abstract][Full Text] [Related]
19. Brain-machine interfacing control of whole-body humanoid motion.
Bouyarmane K; Vaillant J; Sugimoto N; Keith F; Furukawa J; Morimoto J
Front Syst Neurosci; 2014; 8():138. PubMed ID: 25140134
[TBL] [Abstract][Full Text] [Related]
20. Virtual and Actual Humanoid Robot Control with Four-Class Motor-Imagery-Based Optical Brain-Computer Interface.
Batula AM; Kim YE; Ayaz H
Biomed Res Int; 2017; 2017():1463512. PubMed ID: 28804712
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
