Proceedings ArticleDOI
Implementation of SSVEP based BCI with Emotiv EPOC
Yue Liu,Xiao Jiang,Teng Cao,Feng Wan,Peng Un Mak,Pui-In Mak,Mang I Vai +6 more
- pp 34-37
TLDR
SSVEP based BCI through Emotiv EPOC is implemented and the online experiments have the accuracy of 95.83±3.59 % and the information transfer rate (ITR) with 22.85±1.85 bits/min.Abstract:
In recent years, steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) has received much attentions. However, most SSVEP based BCI devices are not portable and have high price, which are not suitable to be used for clinical and commercial purpose. Thanks to the low cost and portable Emotiv EPOC, it brings BCI into daily life. In this paper, SSVEP based BCI through Emotiv EPOC is implemented. BCI 2000 is employed to connect Emotiv EPOC and Matlab to implement the online system. The online experiments have the accuracy of 95.83±3.59 %, information transfer rate (ITR) with 22.85±1.85 bits/min and detection duration of 5.25±2.14 sec.read more
Citations
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Journal ArticleDOI
Performance of the Emotiv Epoc headset for P300-based applications
Matthieu Duvinage,Thierry Castermans,Mathieu Petieau,Thomas Hoellinger,Guy Cheron,Thierry Dutoit +5 more
TL;DR: Although this low-cost headset is able to record EEG data in a satisfying manner, it should only be chosen for non critical applications such as games, communication systems, etc, and not for rehabilitation or prosthesis control, because of a lack of reliability.
Journal ArticleDOI
Consumer-grade EEG devices: are they usable for control tasks?
TL;DR: The Emotiv EPOC device may be more suitable for control tasks using the attention/meditation level or eye blinking than the Neurosky MindWave device, which exhibits high variability and non-normality of attention and meditation data.
Journal ArticleDOI
A low-cost EEG system-based hybrid brain-computer interface for humanoid robot navigation and recognition.
Bongjae Choi,Sungho Jo +1 more
TL;DR: An approach that combines the P300 potential, the steady state visually evoked potential (SSVEP), and event related de-synchronization (ERD) to solve a complicated multi-task problem consisting of humanoid robot navigation and control along with object recognition using a low-cost BCI system is described.
Journal ArticleDOI
A Prototype SSVEP Based Real Time BCI Gaming System
TL;DR: The typical architecture, paradigms, requirements, and limitations of electroencephalogram-based gaming systems are discussed, and a prototype three-class brain-computer interface system, based on the steady state visually evoked potentials paradigm and the Emotiv EPOC headset is developed.
Journal ArticleDOI
Systems, Subjects, Sessions: To What Extent Do These Factors Influence EEG Data?
Andrew Melnik,Petr Legkov,Krzysztof Izdebski,Silke Kärcher,W. David Hairston,Daniel P. Ferris,Peter König,Peter König +7 more
TL;DR: This work tests four EEG systems and proposes a benchmark to evaluate new mobile EEG systems by means of ERP responses, providing specific estimates of the variability across EEG systems, subjects, and repeated sessions.
References
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Journal ArticleDOI
Brain-computer interfaces for communication and control.
Jonathan R. Wolpaw,Jonathan R. Wolpaw,Niels Birbaumer,Niels Birbaumer,Dennis J. McFarland,Gert Pfurtscheller,Theresa M. Vaughan +6 more
TL;DR: With adequate recognition and effective engagement of all issues, BCI systems could eventually provide an important new communication and control option for those with motor disabilities and might also give those without disabilities a supplementary control channel or a control channel useful in special circumstances.
Journal ArticleDOI
Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials
TL;DR: The analyses suggest that this communication channel can be operated accurately at the rate of 0.20 bits/sec, which means that subjects can communicate 12.0 bits, or 2.3 characters, per min.
Journal ArticleDOI
Brain–machine interfaces: past, present and future
TL;DR: This paper discusses designing a fully implantable biocompatible recording device, further developing real-time computational algorithms, introducing a method for providing the brain with sensory feedback from the actuators, and designing and building artificial prostheses that can be controlled directly by brain-derived signals.
Journal ArticleDOI
An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method
TL;DR: The positive characteristics of the proposed SSVEP-based BCI system are that channel selection and parameter optimization are not required, the possible use of harmonic frequencies, low user variation and easy setup.
Journal ArticleDOI
A practical VEP-based brain-computer interface
TL;DR: The development of a practical brain-computer interface at Tsinghua University uses frequency-coded steady-state visual evoked potentials to determine the gaze direction of the user to ensure more universal applicability of the system.