Literature DB >> 22626911

Surfing the internet with a BCI mouse.

Tianyou Yu1, Yuanqing Li, Jinyi Long, Zhenghui Gu.   

Abstract

In this paper, we present a new web browser based on a two-dimensional (2D) brain-computer interface (BCI) mouse, where our major concern is the selection of an intended target in a multi-target web page. A real-world web page may contain tens or even hundreds of targets, including hyperlinks, input elements, buttons, etc. In this case, a target filter designed in our system can be used to exclude most of those targets of no interest. Specifically, the user filters the targets of no interest out by inputting keywords with a P300-based speller, while keeps those containing the keywords. Such filtering largely facilitates the target selection task based on our BCI mouse. When there are only several targets in a web page (either an original sparse page or a target-filtered page), the user moves the mouse toward the target of interest using his/her electroencephalographic signal. The horizontal movement and vertical movement are controlled by motor imagery and P300 potential, respectively. If the mouse encounters a target of no interest, the user rejects it and continues to move the mouse. Otherwise the user selects the target and activates it. With the collaboration of the target filtering and a series of mouse movements and target selections/rejections, the user can select an intended target in a web page. Based on our browser system, common navigation functions, including history rolling forward and backward, hyperlink selection, page scrolling, text input, etc, are available. The system has been tested on seven subjects. Experimental results not only validated the efficacy of the proposed method, but also showed that free internet surfing with a BCI mouse is feasible.

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Year:  2012        PMID: 22626911     DOI: 10.1088/1741-2560/9/3/036012

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  14 in total

1.  Adaptive Laplacian filtering for sensorimotor rhythm-based brain-computer interfaces.

Authors:  Jun Lu; Dennis J McFarland; Jonathan R Wolpaw
Journal:  J Neural Eng       Date:  2012-12-10       Impact factor: 5.379

2.  An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System.

Authors:  Jian Kui Feng; Jing Jin; Ian Daly; Jiale Zhou; Yugang Niu; Xingyu Wang; Andrzej Cichocki
Journal:  Comput Intell Neurosci       Date:  2019-05-13

Review 3.  Bacomics: a comprehensive cross area originating in the studies of various brain-apparatus conversations.

Authors:  Dezhong Yao; Yangsong Zhang; Tiejun Liu; Peng Xu; Diankun Gong; Jing Lu; Yang Xia; Cheng Luo; Daqing Guo; Li Dong; Yongxiu Lai; Ke Chen; Jianfu Li
Journal:  Cogn Neurodyn       Date:  2020-03-17       Impact factor: 3.473

4.  A Multifunctional Brain-Computer Interface Intended for Home Use: An Evaluation with Healthy Participants and Potential End Users with Dry and Gel-Based Electrodes.

Authors:  Ivo Käthner; Sebastian Halder; Christoph Hintermüller; Arnau Espinosa; Christoph Guger; Felip Miralles; Eloisa Vargiu; Stefan Dauwalder; Xavier Rafael-Palou; Marc Solà; Jean M Daly; Elaine Armstrong; Suzanne Martin; Andrea Kübler
Journal:  Front Neurosci       Date:  2017-05-22       Impact factor: 4.677

Review 5.  Hybrid Brain-Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A Review.

Authors:  Keum-Shik Hong; Muhammad Jawad Khan
Journal:  Front Neurorobot       Date:  2017-07-24       Impact factor: 2.650

6.  Scenario Screen: A Dynamic and Context Dependent P300 Stimulator Screen Aimed at Wheelchair Navigation Control.

Authors:  Omar Piña-Ramirez; Raquel Valdes-Cristerna; Oscar Yanez-Suarez
Journal:  Comput Math Methods Med       Date:  2018-02-14       Impact factor: 2.238

7.  An Adaptive Calibration Framework for mVEP-Based Brain-Computer Interface.

Authors:  Teng Ma; Fali Li; Peiyang Li; Dezhong Yao; Yangsong Zhang; Peng Xu
Journal:  Comput Math Methods Med       Date:  2018-02-26       Impact factor: 2.238

8.  Temporal Combination Pattern Optimization Based on Feature Selection Method for Motor Imagery BCIs.

Authors:  Jing Jiang; Chunhui Wang; Jinghan Wu; Wei Qin; Minpeng Xu; Erwei Yin
Journal:  Front Hum Neurosci       Date:  2020-06-30       Impact factor: 3.169

9.  A hybrid brain-computer interface-based mail client.

Authors:  Tianyou Yu; Yuanqing Li; Jinyi Long; Feng Li
Journal:  Comput Math Methods Med       Date:  2013-04-18       Impact factor: 2.238

10.  A P300-based brain-computer interface with stimuli on moving objects: four-session single-trial and triple-trial tests with a game-like task design.

Authors:  Ilya P Ganin; Sergei L Shishkin; Alexander Y Kaplan
Journal:  PLoS One       Date:  2013-10-31       Impact factor: 3.240

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