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EEG Biofeedback Human Brain - Computer Interface
Kněžík, Jan ; Kořenek, Jan (referee) ; Marušinec, Jaromír (advisor)
This master thesis dwells on EEGbiofeedback (also called Neurofeedback) interface of human brain and the computer and its concrete realization in Java programming language. This system is founded on the basis of the computer, which is accomplishing biological feedback (biofeedback) and the electroencephalography (EEG) by helping that state's scanning of user's brain is realized. By this way is possible to practise the human brain effectively to achieve better concentration, the elimination of sleeping and learning deficiency. Hereafter is the suggestion of direction control of computer mouse by EEG device incorporated, which makes it possible for the man to regulate the direction of the cursor's movement on the screen by the frequency of brain's oscillation. The motivation for solution of this problem is the effort to help to handicapped people to communicate with surrounding world. The introduction of this paper contains the basic facts about human brain, electroencephalography and EEG biofeedback. The following chapters dwell on the specification of claims to developed application, its suggestion and description of actual realization. The final part relates to the BCI (Brain-Computer Interface) systems and suggestion of computer's control by EEGappliance with evaluation of attained results.
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Data Analysis and Clasification from the Brain Activity Detector
Jileček, Jan ; Černocký, Jan (referee) ; Szőke, Igor (advisor)
This thesis aims to implement methods for recording EEG data obtained with the neural activity sensor OpenBCI Ultracortex IV headset. It also describes neurofeedback, methods of obtaining data from the motor cortex for further analysis and takes a look at the machine learning algorithms best suited for the presented problem. Multiple training and testing datasets are created, as well as a tool for recording the brain activity of a headset-wearing test subject, which is being visually presented with cognitive challenges on the screen in front of him. A neurofeedback demo app has been developed, presented and later used for calibration of new test subjects. Next part is data analysis, which aims to discriminate the left and right hand movement intention signatures in the brain motor cortex. Multiple classification methods are used and their utility reviewed.
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Wheelchair control using EEG signal classification
Malý, Lukáš ; Sadovský, Petr (referee) ; Žalud, Luděk (advisor)
Tato diplomová práce představuje koncept elektrického invalidního vozíku ovládaného lidskou myslí. Tento koncept je určen pro osoby, které elektrický invalidní vozík nemohou ovládat klasickými způsoby, jakým je například joystick. V práci jsou popsány čtyři hlavní komponenty konceptu: elektroencefalograf, brain-computer interface (rozhraní mozek-počítač), systém sdílené kontroly a samotný elektrický invalidní vozík. V textu je představena použitá metodologie a výsledky provedených experimentů. V závěru jsou nastíněna doporučení pro budoucí vývoj.
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Control of the electric wheelchair using EEG classification
Malý, L.
Electric wheelchairs are some of the most important devices to assist physically handicapped persons. This paper presents the concept of brain controlled electric wheelchair designed for people who are not able to use other interfaces such as a hand joystick, and in particular for patients suffering from amyotrophic lateral sclerosis (ALS). The objective is to control the direction of an electric wheelchair using noninvasive scalp electroencephalogram (EEG).
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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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Analysis of Market and Products of Brain-Computer Interface
Henych, Filip ; Brixí, Radim (advisor) ; Kalina, Jaroslav (referee)
This thesis analyzes the market and products of brain-computer interface. Its main goal is evaluate the current market of these products and their use in information technologies and systems. The document is divided into three main parts. The first one focuses on familiarizing the reader with brain-computer interface technology. It mentions a brief history of development, technological principles, types of devices, their contemporary use, and the positives and negatives they bring. The second one focuses on market analysis. It summarizes the active companies on the market, and their products, and describes their customer targeting. It contains brief insight in market's future development. The third part focuses on practical testing of two selected brain-computer interface devices. The testing will evaluate applicability in information technologies and systems. For testing purpose will be developed its own methodology and selected appropriate evaluation criteria.
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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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Unearthing imprisoned potential for paralyzed patients, using technical means theEpoc Headset allowing control computer by mind
ŠRAM, Vlastimil
The aim is to explore the possibility of EPOC headset - the equipment used to control computer by the human mind and its use in practice. In collaboration with the Rehabilitation Institute at the Kladruby identify suitable patients and methods to use this device. Students will then design and address tuples (patient disability, hardware options, choice of software, design methods use collaboration with the patient). These tuples including practical experience describe in the methodical guide. Benefits for patients due to spinal cord injuries or diseases of the nervous system control over their bodies would be to help at least a partial return to normal life or the possibility of extending the use of their "imprisoned potential?. For work is required knowledge of information technologies, the ability to absorb new issues, empathy, patience and sensitivity to patients, traveling to Kladruby.
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