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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

431 related items for PubMed ID: 28813929

  • 1. 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
    [Abstract] [Full Text] [Related]

  • 2. My thoughts through a robot's eyes: an augmented reality-brain-machine interface.
    Kansaku K, Hata N, Takano K.
    Neurosci Res; 2010 Feb; 66(2):219-22. PubMed ID: 19853630
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  • 3. User Evaluation of a Shared Robot Control System Combining BCI and Eye Tracking in a Portable Augmented Reality User Interface.
    Dillen A, Omidi M, Ghaffari F, Romain O, Vanderborght B, Roelands B, Nowé A, De Pauw K.
    Sensors (Basel); 2024 Aug 14; 24(16):. PubMed ID: 39204948
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  • 4. On the feasibility of using motor imagery EEG-based brain-computer interface in chronic tetraplegics for assistive robotic arm control: a clinical test and long-term post-trial follow-up.
    Onose G, Grozea C, Anghelescu A, Daia C, Sinescu CJ, Ciurea AV, Spircu T, Mirea A, Andone I, Spânu A, Popescu C, Mihăescu AS, Fazli S, Danóczy M, Popescu F.
    Spinal Cord; 2012 Aug 14; 50(8):599-608. PubMed ID: 22410845
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  • 5. Robot Learning of Assistive Manipulation Tasks by Demonstration via Head Gesture-based Interface.
    Kyrarini M, Zheng Q, Haseeb MA, Graser A.
    IEEE Int Conf Rehabil Robot; 2019 Jun 14; 2019():1139-1146. PubMed ID: 31374783
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  • 6. Plug&Play Brain-Computer Interfaces for effective Active and Assisted Living control.
    Mora N, De Munari I, Ciampolini P, Del R Millán J.
    Med Biol Eng Comput; 2017 Aug 14; 55(8):1339-1352. PubMed ID: 27858227
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  • 7. Comparison of tongue interface with keyboard for control of an assistive robotic arm.
    Struijk LNSA, Lontis R.
    IEEE Int Conf Rehabil Robot; 2017 Jul 14; 2017():925-928. PubMed ID: 28813939
    [Abstract] [Full Text] [Related]

  • 8. A study on a robot arm driven by three-dimensional trajectories predicted from non-invasive neural signals.
    Kim YJ, Park SW, Yeom HG, Bang MS, Kim JS, Chung CK, Kim S.
    Biomed Eng Online; 2015 Aug 20; 14():81. PubMed ID: 26290069
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  • 14. Intuitive adaptive orientation control of assistive robots for people living with upper limb disabilities.
    Vu DS, Allard UC, Gosselin C, Routhier F, Gosselin B, Campeau-Lecours A.
    IEEE Int Conf Rehabil Robot; 2017 Jul 20; 2017():795-800. PubMed ID: 28813917
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  • 16. A novel Morse code-inspired method for multiclass motor imagery brain-computer interface (BCI) design.
    Jiang J, Zhou Z, Yin E, Yu Y, Liu Y, Hu D.
    Comput Biol Med; 2015 Nov 01; 66():11-9. PubMed ID: 26340647
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  • 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 01; 62(3):876-89. PubMed ID: 25398172
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  • 19. Robust human machine interface based on head movements applied to assistive robotics.
    Perez E, López N, Orosco E, Soria C, Mut V, Freire-Bastos T.
    ScientificWorldJournal; 2013 Mar 01; 2013():589636. PubMed ID: 24453877
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