Literature DB >> 12899256

A BCI-based environmental controller for the motion-disabled.

Xiaorong Gao1, Dingfeng Xu, Ming Cheng, Shangkai Gao.   

Abstract

With the development of brain-computer interface (BCI) technology, researchers are now attempting to put current BCI techniques into practical application. This paper presents an environmental controller using a BCI technique based on steady-state visual evoked potential. The system is composed of a stimulator, a digital signal processor, and a trainable infrared remote-controller. The attractive features of this system include noninvasive signal recording, little training requirement, and a high information transfer rate. Our test results have shown that this system can distinguish at least 48 targets and provide a transfer rate up to 68 b/min. The system has been applied to the control of an electric apparatus successfully.

Mesh:

Year:  2003        PMID: 12899256     DOI: 10.1109/TNSRE.2003.814449

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  62 in total

Review 1.  Brain-computer interfaces in medicine.

Authors:  Jerry J Shih; Dean J Krusienski; Jonathan R Wolpaw
Journal:  Mayo Clin Proc       Date:  2012-02-10       Impact factor: 7.616

Review 2.  Brain computer interfaces, a review.

Authors:  Luis Fernando Nicolas-Alonso; Jaime Gomez-Gil
Journal:  Sensors (Basel)       Date:  2012-01-31       Impact factor: 3.576

3.  Connection between polymorphisms in HTR2A, TPH2, BDNF, TOMM40 genes and the successful mastering of human-computer interfaces.

Authors:  Yaroslav A Turovsky; Artem P Gureev; Inna Yu Vitkalova; Vasily N Popov
Journal:  J Genet       Date:  2019-11       Impact factor: 1.166

4.  Towards an independent brain-computer interface using steady state visual evoked potentials.

Authors:  Brendan Z Allison; Dennis J McFarland; Gerwin Schalk; Shi Dong Zheng; Melody Moore Jackson; Jonathan R Wolpaw
Journal:  Clin Neurophysiol       Date:  2008-02       Impact factor: 3.708

5.  Definitions of state variables and state space for brain-computer interface : Part 1. Multiple hierarchical levels of brain function.

Authors:  Walter J Freeman
Journal:  Cogn Neurodyn       Date:  2006-12-07       Impact factor: 5.082

6.  Combined motor imagery and SSVEP based BCI control of a 2 DoF artificial upper limb.

Authors:  Petar Horki; Teodoro Solis-Escalante; Christa Neuper; Gernot Müller-Putz
Journal:  Med Biol Eng Comput       Date:  2011-03-11       Impact factor: 2.602

7.  A plug-and-play brain-computer interface to operate commercial assistive technology.

Authors:  David E Thompson; Kirsten L Gruis; Jane E Huggins
Journal:  Disabil Rehabil Assist Technol       Date:  2013-04-16

8.  Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects.

Authors:  Joseph N Mak; Jonathan R Wolpaw
Journal:  IEEE Rev Biomed Eng       Date:  2009

Review 9.  A survey of stimulation methods used in SSVEP-based BCIs.

Authors:  Danhua Zhu; Jordi Bieger; Gary Garcia Molina; Ronald M Aarts
Journal:  Comput Intell Neurosci       Date:  2010-03-07

10.  A robust and self-paced BCI system based on a four class SSVEP paradigm: algorithms and protocols for a high-transfer-rate direct brain communication.

Authors:  Sergio Parini; Luca Maggi; Anna C Turconi; Giuseppe Andreoni
Journal:  Comput Intell Neurosci       Date:  2009-04-28
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