Literature DB >> 21436512

Towards passive brain-computer interfaces: applying brain-computer interface technology to human-machine systems in general.

Thorsten O Zander1, Christian Kothe.   

Abstract

Cognitive monitoring is an approach utilizing realtime brain signal decoding (RBSD) for gaining information on the ongoing cognitive user state. In recent decades this approach has brought valuable insight into the cognition of an interacting human. Automated RBSD can be used to set up a brain-computer interface (BCI) providing a novel input modality for technical systems solely based on brain activity. In BCIs the user usually sends voluntary and directed commands to control the connected computer system or to communicate through it. In this paper we propose an extension of this approach by fusing BCI technology with cognitive monitoring, providing valuable information about the users' intentions, situational interpretations and emotional states to the technical system. We call this approach passive BCI. In the following we give an overview of studies which utilize passive BCI, as well as other novel types of applications resulting from BCI technology. We especially focus on applications for healthy users, and the specific requirements and demands of this user group. Since the presented approach of combining cognitive monitoring with BCI technology is very similar to the concept of BCIs itself we propose a unifying categorization of BCI-based applications, including the novel approach of passive BCI.

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Year:  2011        PMID: 21436512     DOI: 10.1088/1741-2560/8/2/025005

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


  117 in total

1.  Passive BCI based on drowsiness detection: an fNIRS study.

Authors:  M Jawad Khan; Keum-Shik Hong
Journal:  Biomed Opt Express       Date:  2015-09-22       Impact factor: 3.732

2.  Online EEG-Based Workload Adaptation of an Arithmetic Learning Environment.

Authors:  Carina Walter; Wolfgang Rosenstiel; Martin Bogdan; Peter Gerjets; Martin Spüler
Journal:  Front Hum Neurosci       Date:  2017-05-30       Impact factor: 3.169

Review 3.  Improving N1 classification by grouping EEG trials with phases of pre-stimulus EEG oscillations.

Authors:  Li Han; Zhang Liang; Zhang Jiacai; Wang Changming; Yao Li; Wu Xia; Guo Xiaojuan
Journal:  Cogn Neurodyn       Date:  2014-11-19       Impact factor: 5.082

Review 4.  Physiological properties of brain-machine interface input signals.

Authors:  Marc W Slutzky; Robert D Flint
Journal:  J Neurophysiol       Date:  2017-06-14       Impact factor: 2.714

Review 5.  Interfacing to the brain's motor decisions.

Authors:  Giovanni Mirabella; Mikhail А Lebedev
Journal:  J Neurophysiol       Date:  2016-12-21       Impact factor: 2.714

6.  Neuroadaptive technology enables implicit cursor control based on medial prefrontal cortex activity.

Authors:  Thorsten O Zander; Laurens R Krol; Niels P Birbaumer; Klaus Gramann
Journal:  Proc Natl Acad Sci U S A       Date:  2016-12-12       Impact factor: 11.205

7.  Decoding different working memory states during an operation span task from prefrontal fNIRS signals.

Authors:  Ting Chen; Cui Zhao; Xingyu Pan; Junda Qu; Jing Wei; Chunlin Li; Ying Liang; Xu Zhang
Journal:  Biomed Opt Express       Date:  2021-05-18       Impact factor: 3.732

8.  Workshops of the Seventh International Brain-Computer Interface Meeting: Not Getting Lost in Translation.

Authors:  Jane E Huggins; Christoph Guger; Erik Aarnoutse; Brendan Allison; Charles W Anderson; Steven Bedrick; Walter Besio; Ricardo Chavarriaga; Jennifer L Collinger; An H Do; Christian Herff; Matthias Hohmann; Michelle Kinsella; Kyuhwa Lee; Fabien Lotte; Gernot Müller-Putz; Anton Nijholt; Elmar Pels; Betts Peters; Felix Putze; Rüdiger Rupp; Gerwin Schalk; Stephanie Scott; Michael Tangermann; Paul Tubig; Thorsten Zander
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2019-12-10

9.  A brain-computer interface for the continuous, real-time monitoring of working memory load in real-world environments.

Authors:  Aldo Mora-Sánchez; Alfredo-Aram Pulini; Antoine Gaume; Gérard Dreyfus; François-Benoît Vialatte
Journal:  Cogn Neurodyn       Date:  2020-03-09       Impact factor: 5.082

10.  Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future.

Authors:  Jane E Huggins; Christoph Guger; Brendan Allison; Charles W Anderson; Aaron Batista; Anne-Marie A-M Brouwer; Clemens Brunner; Ricardo Chavarriaga; Melanie Fried-Oken; Aysegul Gunduz; Disha Gupta; Andrea Kübler; Robert Leeb; Fabien Lotte; Lee E Miller; Gernot Müller-Putz; Tomasz Rutkowski; Michael Tangermann; David Edward Thompson
Journal:  Brain Comput Interfaces (Abingdon)       Date:  2014-01
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