Design and Implementation of a P300-Based Brain-Computer Interface for Controlling an Internet Browser

Mugler, Emily M.; Ruf, Carolin A.; Halder, Sebastian; Bensch, Michael; Kübler, Andrea

doi:10.1109/tnsre.2010.2068059

Cited by 154 publications

(83 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The device operation provides feedback to the user, thus closing the control loop. 19 Because of its relative ease of implementation and performance, one of the most researched BCI paradigms is the visual P300 speller, 5 which has been demonstrated successfully in both healthy and disabled persons for typing, [35][36][37][38][39][40][41][42] Internet browsing, 43 guidance of a wheelchair along predetermined paths, [44][45][46][47] and other applications. Like the P300 evoked response, steady-state visual evoked potentials are innate and require no training, but they are capable of providing faster response times.…”

Section: Device Outputmentioning

confidence: 99%

Brain-Computer Interfaces in Medicine

Shih

Krusienski

Wolpaw

2012

Mayo Clinic Proceedings

564

279

View full text Add to dashboard Cite

Brain-computer interfaces (BCIs) acquire brain signals, analyze them, and translate them into commands that are relayed to output devices that carry out desired actions. BCIs do not use normal neuromuscular output pathways. The main goal of BCI is to replace or restore useful function to people disabled by neuromuscular disorders such as amyotrophic lateral sclerosis, cerebral palsy, stroke, or spinal cord injury. From initial demonstrations of electroencephalography-based spelling and single-neuron-based device control, researchers have gone on to use electroencephalographic, intracortical, electrocorticographic, and other brain signals for increasingly complex control of cursors, robotic arms, prostheses, wheelchairs, and other devices. Brain-computer interfaces may also prove useful for rehabilitation after stroke and for other disorders. In the future, they might augment the performance of surgeons or other medical professionals. Brain-computer interface technology is the focus of a rapidly growing research and development enterprise that is greatly exciting scientists, engineers, clinicians, and the public in general. Its future achievements will depend on advances in 3 crucial areas. Brain-computer interfaces need signal-acquisition hardware that is convenient, portable, safe, and able to function in all environments. Brain-computer interface systems need to be validated in long-term studies of real-world use by people with severe disabilities, and effective and viable models for their widespread dissemination must be implemented. Finally, the day-to-day and moment-to-moment reliability of BCI performance must be improved so that it approaches the reliability of natural muscle-based function. U ntil recently, the dream of being able to control one's environment through thoughts had been in the realm of science fiction. However, the advance of technology has brought a new reality: Today, humans can use the electrical signals from brain activity to interact with, influence, or change their environments. The emerging field of brain-computer interface (BCI) technology may allow individuals unable to speak and/or use their limbs to once again communicate or operate assistive devices for walking and manipulating objects. Brain-computer interface research is an area of high public awareness. Videos on YouTube as well as news reports in the lay media indicate intense curiosity and interest in a field that hopefully one day soon will dramatically improve the lives of many disabled persons affected by a number of different disease processes.This review seeks to provide the general medical community with an introduction to BCIs. We define BCI and then review some of the seminal discoveries in this rapidly emerging field, the brain signals used by BCIs, the essential components of a BCI system, current BCI systems, and the key issues now engaging researchers. Challenges are inherent in translating any new technology to practical and useful clinical applications, and BCIs are no exception. We discuss the potent...

show abstract

Section: Device Outputmentioning

confidence: 99%

Brain-Computer Interfaces in Medicine

Shih

Krusienski

Wolpaw

2012

Mayo Clinic Proceedings

564

279

View full text Add to dashboard Cite

show abstract

“…According to the most commonly used definition, a brain-computer interface (BCI) is a communication device that classifies brain activity and controls a device such as a spelling application [1,2,3,4], a neuroprosthesis [5,6], a domestic environment [7,8], a wheelchair [9,10], a telepresence robot [11,12], an internet browser [13,14], computer games [15,16,17,18], or creative expression [19,20]. A BCI uses signals directly recorded from the brain, operates online, provides feedback, and relies on goal-directed behavior [21,22].…”

Section: Bcis and Bncis Definitionsmentioning

confidence: 99%

BNCI Horizon 2020 – Towards a Roadmap for Brain/Neural Computer Interaction

Brunner

Blankertz

Cincotti

et al. 2014

Universal Access in Human-Computer Interaction. Design and Development Methods for Universal Access

View full text Add to dashboard Cite

Abstract. In this paper, we present BNCI Horizon 2020, an EU Coordination and Support Action (CSA) that will provide a roadmap for brain-computer interaction research for the next years, starting in 2013, and aiming at research efforts until 2020 and beyond. The project is a successor of the earlier EUfunded Future BNCI CSA that started in 2010 and produced a roadmap for a shorter time period. We present how we, a consortium of the main European BCI research groups as well as companies and end user representatives, expect to tackle the problem of designing a roadmap for BCI research. In this paper, we define the field with its recent developments, in particular by considering publications and EU-funded research projects, and we discuss how we plan to involve research groups, companies, and user groups in our effort to pave the way for useful and fruitful EU-funded BCI research for the next ten years.

show abstract

“…In addition, both SCPs and SMR are endogenous signals, and it was necessary a long time so that the user learnt how to control its own EEG activity [8]- [10]. A few years later, Mugler et al [11] overcame the selection An Asynchronous P300-Based Brain-Computer Interface Web Browser for Severely Disabled People…”

Section: Introductionmentioning

confidence: 99%

“…These potentials are produced in response to infrequent and particularly significant visual, auditory, or somatosensory stimuli about 300 ms after its elicitation [3]. Hence, training time was reduced because of their exogenous nature and the number of input signals drastically increased [11], [13]. In addition, page links were tagged with an alphanumeric code and any link could be selected by entering the corresponding code with the selection matrix [11].…”

Section: Introductionmentioning

confidence: 99%

An Asynchronous P300-Based Brain-Computer Interface Web Browser for Severely Disabled People

Martínez-Cagigal

Gómez‐Pilar

Álvarez

et al. 2017

IEEE Trans. Neural Syst. Rehabil. Eng.

View full text Add to dashboard Cite

Abstract-This paper presents an electroencephalographic (EEG) P300-based brain-computer interface (BCI) Internet browser. The system uses the "odd-ball" row-col paradigm for generating the P300 evoked potentials on the scalp of the user, which are immediately processed and translated into web browser commands. There were previous approaches for controlling a BCI web browser. However, to the best of our knowledge, none of them was focused on an assistive context, failing to test their applications with a suitable number of end users. In addition, all of them were synchronous applications, where it was necessary to introduce a "read-mode" command in order to avoid a continuous command selection. Thus, the aim of this study is twofold: (i) to test our web browser with a population of multiple sclerosis (MS) patients in order to assess the usefulness of our proposal to meet their daily communication needs; and (ii) to overcome the aforementioned limitation by adding a threshold that discerns between control and non-control states, allowing the user to calmly read the web page without undesirable selections. The browser was tested with sixteen MS patients and five healthy volunteers. Both quantitative and qualitative metrics were obtained. MS participants reached an average accuracy of 84.14%, whereas 95.75% was achieved by control subjects. Results show that MS patients can successfully control the BCI web browser, improving their personal autonomy.Index Terms-Brain-computer interfaces, P300 event-related potentials, electroencephalography, web browser, multiple sclerosis, asynchronous control.

show abstract

Design and Implementation of a P300-Based Brain-Computer Interface for Controlling an Internet Browser

Cited by 154 publications

References 35 publications

Brain-Computer Interfaces in Medicine

Brain-Computer Interfaces in Medicine

BNCI Horizon 2020 – Towards a Roadmap for Brain/Neural Computer Interaction

An Asynchronous P300-Based Brain-Computer Interface Web Browser for Severely Disabled People

Contact Info

Product

Resources

About