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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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