Literature DB >> 19853630

My thoughts through a robot's eyes: an augmented reality-brain-machine interface.

Kenji Kansaku1, Naoki Hata, Kouji Takano.   

Abstract

A brain-machine interface (BMI) uses neurophysiological signals from the brain to control external devices, such as robot arms or computer cursors. Combining augmented reality with a BMI, we show that the user's brain signals successfully controlled an agent robot and operated devices in the robot's environment. The user's thoughts became reality through the robot's eyes, enabling the augmentation of real environments outside the anatomy of the human body.

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Mesh:

Year:  2009        PMID: 19853630     DOI: 10.1016/j.neures.2009.10.006

Source DB:  PubMed          Journal:  Neurosci Res        ISSN: 0168-0102            Impact factor:   3.304


  8 in total

1.  Neuroengineering tools/applications for bidirectional interfaces, brain-computer interfaces, and neuroprosthetic implants - a review of recent progress.

Authors:  Ryan Mark Rothschild
Journal:  Front Neuroeng       Date:  2010-10-15

2.  Towards intelligent environments: an augmented reality-brain-machine interface operated with a see-through head-mount display.

Authors:  Kouji Takano; Naoki Hata; Kenji Kansaku
Journal:  Front Neurosci       Date:  2011-04-20       Impact factor: 4.677

3.  Effect of the Green/Blue Flicker Matrix for P300-Based Brain-Computer Interface: An EEG-fMRI Study.

Authors:  Shiro Ikegami; Kouji Takano; Makoto Wada; Naokatsu Saeki; Kenji Kansaku
Journal:  Front Neurol       Date:  2012-07-11       Impact factor: 4.003

4.  A non-adhesive solid-gel electrode for a non-invasive brain-machine interface.

Authors:  Shigeru Toyama; Kouji Takano; Kenji Kansaku
Journal:  Front Neurol       Date:  2012-07-18       Impact factor: 4.003

5.  Online transcranial Doppler ultrasonographic control of an onscreen keyboard.

Authors:  Jie Lu; Khondaker A Mamun; Tom Chau
Journal:  Front Hum Neurosci       Date:  2014-04-22       Impact factor: 3.169

6.  Using Non-linear Dynamics of EEG Signals to Classify Primary Hand Movement Intent Under Opposite Hand Movement.

Authors:  Jiarong Wang; Luzheng Bi; Weijie Fei
Journal:  Front Neurorobot       Date:  2022-04-28       Impact factor: 2.650

7.  Humanoid Robot Walking in Maze Controlled by SSVEP-BCI Based on Augmented Reality Stimulus.

Authors:  Shangen Zhang; Xiaorong Gao; Xiaogang Chen
Journal:  Front Hum Neurosci       Date:  2022-07-14       Impact factor: 3.473

8.  An Augmented-Reality fNIRS-Based Brain-Computer Interface: A Proof-of-Concept Study.

Authors:  Amaia Benitez-Andonegui; Rodion Burden; Richard Benning; Rico Möckel; Michael Lührs; Bettina Sorger
Journal:  Front Neurosci       Date:  2020-04-28       Impact factor: 4.677

  8 in total

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