Brain-Computer Interface Systems Used for Virtual Reality Control

Pfurtscheller, Gert; Leeb, Robert; Faller, Josef; Neuper, Christa

doi:10.5772/13467

Cited by 20 publications

(12 citation statements)

References 58 publications

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“…Brain-computer interfaces (BCI) provide an alternative communication channel which does not depend on normal motor output of the nervous system between people with neuromuscular impairment and their external environment [1][2] [3]. BCI requires a brain signal associated with a task from the user in order to interpret the user's intent.…”

Section: Introductionmentioning

confidence: 99%

The Effect of the Viewing Distance of Stimulus on SSVEP Response for Use in Brain-Computer Interfaces

Lakany

2013

2013 IEEE International Conference on Systems, Man, and Cybernetics

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Abstract-Most visual stimulators used in steady state visual evoked potential (SSVEP) based brain-computer interface (BCI) to elicit SSVEP response are set close to the BCI system limiting the portability and the applications of the system. Our aim is to develop a portable SSVEP based BCI adaptable to the change of the viewing distance of the stimulator which will allow users to operate the BCI without being restricted to a particular area. This study (1) investigates the impact of the distance between the user and the visual stimulator on the SSVEP response and (2) develops a portable visual stimulator that would adapt to change of distance. The finding suggests that a distance adaptable SSVEP based BCI is achievable by changing the intensity of visual stimulator to correspond to the change of the viewing distance. It is hoped that this work can help SSVEP BCI design and broaden its potential applications and users.Keywords: Brain-computer interface (BCI), Steady state visual evoked potential (SSVEP), Electroencephalography (EEG)

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Section: Introductionmentioning

confidence: 99%

The Effect of the Viewing Distance of Stimulus on SSVEP Response for Use in Brain-Computer Interfaces

Lakany

2013

2013 IEEE International Conference on Systems, Man, and Cybernetics

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“…In this regard, the most prominent work has been reported by Graz BCI Lab (Pfurtcheller et al, 2007). At present, this research group has a well-established procedure to develop synchronous and asynchronous systems (Pfurtscheller et al, 2011;Leeb et al, 2007). Such procedure has been illustrated in Figure 2.1 and the architecture of the miBCI software was founded on those stages related to the development of a synchronous system.…”

Section: Methodsmentioning

confidence: 99%

Implementation of a Motor Imagery based BCI System using Python Programming Language

Alonso-Valerdi

Sepúlveda

2015

Proceedings of the 2nd International Conference on Physiological Computing Systems

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At present, there is a wide variety of free open-source brain-computer interface (BCI) software. Even though the available software is very complete, it often runs under a Matlab environment. Matlab is a high performance language for scientific computing, but its limitations concerning the license cost, the restricted access to the algorithm code, and the portability difficulties complicates its use. Therefore, we proposed to implement a motor imagery (MI) based BCI system using Python programming language. This system was called miBCI software, was designed to discriminate up to three control tasks and was structured on the basis of online and offline data analyses. The functionality and efficiency of the software were firstly assessed in a pilot study, and then, its applicability and utility were demonstrated in two subsequent studies associated with the external and internal influences on MI-related control tasks. Results of the pilot study and preliminary outcomes of the subsequent studies are herein presented. This work contributes by promoting the utilization of tools which facilitate the advance of BCI research. The advantage of using Python instead of Matlab, which is the widely used programming language at the moment, is the opportunity to develop BCI software in a public and collaborative way, without property license restrictions.

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“…Low-cost EEG systems can be used to monitor real-time brain activity during mobile and immobile tasks in VR. 32 This adds another dimension of analysis for monitoring patients with psychological problems because emotional correlates can be drawn from reading spatio-temporal source dynamics and event potentials during different tasks. 33 …”

Section: Vr and Psychotherapymentioning

confidence: 99%

Future Directions: Advances and Implications of Virtual Environments Designed for Pain Management

Wiederhold

Soomro

Riva

et al. 2014

Cyberpsychology, Behavior, and Social Networking

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Pain symptoms have been addressed with a variety of therapeutic measures in the past, but as we look to the future, we begin encountering new options for patient care and individual health and well-being. Recent studies indicate that computer-generated graphic environments--virtual reality (VR)--can offer effective cognitive distractions for individuals suffering from pain arising from a variety of physical and psychological illnesses. Studies also indicate the effectiveness of VR for both chronic and acute pain conditions. Future possibilities for VR to address pain-related concerns include such diverse groups as military personnel, space exploration teams, the general labor force, and our ever increasing elderly population. VR also shows promise to help in such areas as drug abuse, at-home treatments, and athletic injuries.

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Brain-Computer Interface Systems Used for Virtual Reality Control

Cited by 20 publications

References 58 publications

The Effect of the Viewing Distance of Stimulus on SSVEP Response for Use in Brain-Computer Interfaces

The Effect of the Viewing Distance of Stimulus on SSVEP Response for Use in Brain-Computer Interfaces

Implementation of a Motor Imagery based BCI System using Python Programming Language

Future Directions: Advances and Implications of Virtual Environments Designed for Pain Management

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