Literature DB >> 26736454

A Brain-Computer Interface (BCI) system to use arbitrary Windows applications by directly controlling mouse and keyboard.

Martin Spuler.   

Abstract

A Brain-Computer Interface (BCI) allows to control a computer by brain activity only, without the need for muscle control. In this paper, we present an EEG-based BCI system based on code-modulated visual evoked potentials (c-VEPs) that enables the user to work with arbitrary Windows applications. Other BCI systems, like the P300 speller or BCI-based browsers, allow control of one dedicated application designed for use with a BCI. In contrast, the system presented in this paper does not consist of one dedicated application, but enables the user to control mouse cursor and keyboard input on the level of the operating system, thereby making it possible to use arbitrary applications. As the c-VEP BCI method was shown to enable very fast communication speeds (writing more than 20 error-free characters per minute), the presented system is the next step in replacing the traditional mouse and keyboard and enabling complete brain-based control of a computer.

Entities:  

Mesh:

Year:  2015        PMID: 26736454     DOI: 10.1109/EMBC.2015.7318554

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  8 in total

Review 1.  Past, Present, and Future of EEG-Based BCI Applications.

Authors:  Kaido Värbu; Naveed Muhammad; Yar Muhammad
Journal:  Sensors (Basel)       Date:  2022-04-26       Impact factor: 3.847

2.  A high-speed brain-computer interface (BCI) using dry EEG electrodes.

Authors:  Martin Spüler
Journal:  PLoS One       Date:  2017-02-22       Impact factor: 3.240

3.  Asynchronous non-invasive high-speed BCI speller with robust non-control state detection.

Authors:  Sebastian Nagel; Martin Spüler
Journal:  Sci Rep       Date:  2019-06-04       Impact factor: 4.379

4.  Classification of Electroencephalogram Signal for Developing Brain-Computer Interface Using Bioinspired Machine Learning Approach.

Authors:  M Thilagaraj; S Ramkumar; N Arunkumar; A Durgadevi; K Karthikeyan; S Hariharasitaraman; M Pallikonda Rajasekaran; Petchinathan Govindan
Journal:  Comput Intell Neurosci       Date:  2022-02-25

5.  Controlling a Mouse Pointer with a Single-Channel EEG Sensor.

Authors:  Alberto J Molina-Cantero; Juan A Castro-García; Fernando Gómez-Bravo; Rafael López-Ahumada; Raúl Jiménez-Naharro; Santiago Berrazueta-Alvarado
Journal:  Sensors (Basel)       Date:  2021-08-14       Impact factor: 3.576

6.  DIY hybrid SSVEP-P300 LED stimuli for BCI platform using EMOTIV EEG headset.

Authors:  Surej Mouli; Ramaswamy Palaniappan
Journal:  HardwareX       Date:  2020-05-22

Review 7.  Embedded Brain Computer Interface: State-of-the-Art in Research.

Authors:  Kais Belwafi; Sofien Gannouni; Hatim Aboalsamh
Journal:  Sensors (Basel)       Date:  2021-06-23       Impact factor: 3.576

Review 8.  Brain-Computer Interface Spellers: A Review.

Authors:  Aya Rezeika; Mihaly Benda; Piotr Stawicki; Felix Gembler; Abdul Saboor; Ivan Volosyak
Journal:  Brain Sci       Date:  2018-03-30
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.