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Brain-Computer Interface Epoc Emotiv and its Potential Commercial Applications
Vencelides, David ; Bečev, Ondřej (advisor) ; Smutný, Zdeněk (referee)
This work is focused on Brain Computer Interface. Specifically, the device EPOC Emotiv. The first part focuses on the introduction to the topic Brain Computer Interface. Definition of terms, a brief history and ways to measure brain activity. The second part deals with specific BCI products that are available on the consumer market open for sale at a price accessible to the ordinary customer. The third part focuses on the specific BCI product EPOC Emotiv In this part the device is introduced and is being examined. This work deals with what are the device capabilities and limitations. Attention is also given to applications that use it. And at the end there is some theoretical proposal for meditation application in which could be EPOC Emotiv further use.
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Factors influencing usability of nervous control of the computer in the information management
Živkov, Martin ; Brixí, Radim (advisor) ; Kalina, Jaroslav (referee)
The work deals with areas of brain--computer interface (BCI). There is theoretical background described because of the research in the first part. The chapter "Analýza technologie (EEG, EMG)" is conceived generally and clarifies basic theory of EEG and EMG. Chapter "Popis zařízení EPOC neuroheadset" examines specific device used in research especially on the technical and functional side. Section "Analýza praktického využití BCI zařízení Emotiv EPOC neuroheadset" is self-explanatory. The focus of the practical part is influence of factors on the usability of BCI neuroheadset EPOC in the field of information management. These factors have been organized and analyzed. Group of factors connected with humans (physical and psychical) was chosen for the application of the research in which was investigated correlation with the ability to learn how to use neuroheadset EPOC, respectively its BCI element. For the research was used experimental method when a sample of volunteers was tested, undergone questionnaire investigation for acquiring human factors and repeatedly tested for the ability to use BCI element of neuroheadset EPOC. There was found out that the ability to learn how to use BCI correlates with optimism (Pearson's correlation coefficient 0,731 [Pkk] on the level of significance 0,01), stability (|0,648| Pkk on the level of significance 0,01), concentration (|0,638| Pkk on the level of significance 0,01 ), self-efficacy (0,549 Pkk on the level of significance 0,05), spatial perception (0,426 Pkk on the level of significance 0,01) in the research part.
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Applicability of the device for neural computer control
Němec, Pavel ; Brixí, Radim (advisor) ; Kalina, Jaroslav (referee)
The main goal of this paper is to test the applicability of the device for neural computer control on a group of ten volunteers. In the next part of the paper author focuses on Electroencephalography and the conversion of analog neural signals from brain to digital form. Next chapter describes currently on the market available devices, which allow customers direct computer controlling with the usage of bio signal from brain. The device selected for the purposes of this paper (Emotiv Epoc) is more described in detail. The last goal is an attempt to predict the future development of this technology. The paper demonstrates applicability of this device in its current form for everyday work with Microsoft Project and presents users who are able to learn to control a computer with this device in just 980 minutes of training.
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Classification Methods for Brain-Computer Interface
Bobrov, P. ; Frolov, A. A. ; Húsek, Dušan
The performance of four classifiers for Brain Computer Interface (BCI) systems based on multichannel EEG recordings is tested in this work. The classifiers are designed to distinguish EEG patterns corresponding to performance of several mental tasks. It is shown that relatively simple classifiers based on the Bayesian approach are comparable in classification accuracy with more sophisticated classifiers based on Common Spatial Patterns and Common Tensor Discriminant Analysis
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Evaluation of cognitive ERP, ERD/ERS from intracerebral electrodes during the testing of executive functions, the time – frequency analysis
Chládek, Jan ; Bočková, M. ; Halámek, Josef ; Jurák, Pavel ; Nestrašil, I. ; Rektor, I.
In the present paper we describe the procedure of evaluation repeated EEG signals obtained from deep brain structures. Data are processed using the time-frequency analysis, which helps to determine individual frequency (IF) bands and afterwards are processed using complex demodulation technique to assess power envelope of IF band. We analysed phase-locked (Event-Related Potentials) and non-phase-locked (Event Related De/Synchronisation) signals obtained during different task conditions. Because of low signal to noise ratio, statistical tests of credibility and significance were used.
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