Browse IS/STAG - Portál UTB

Skip to page content
Website UTB
Portal title page UTB
Anonymous user Login Česky
Browse IS/STAG
Login Česky
  • Welcome
  • Browse IS/STAG
  • Applicant
  • Graduate
  • Web services
  • ECTS
  • User Info
Welcome
Browse IS/STAG
Information for applicantsElectronic applicationECTS arrivals
Getting startedAlumni ClubAbsolvent - website
Web services
ECTS
User Info

1st level navigation

  • Welcome
  • Browse IS/STAG
  • Applicant
  • Graduate
  • Web services
  • ECTS
  • User Info
User disconnected from the portal due to long time of inactivity.
Please, click this link to log back in.
(Sessions are disconnected after 240 minutes of inactivity. Note that mobile devices may get disconnected even sooner).

Prohlížení IS/STAG (S025)

Help

Main menu for Browse IS/STAG

  • Programmes and specializations.
  • Courses
  • Departments
  • Lecturers
  • Students
  • Examination dates
  • Timetable events
  • Theses, selected item
  • Pre-regist. study groups
  • Rooms
  • Rooms – all year
  • Free rooms – Semester
  • Free rooms – Year
  • Capstone project
  • Times overlap
  •  
  • Title page
  • Calendar
  • Help

Search for a Thesis

Print/export:  Bookmark this link in your browser so that you may quickly load this IS/STAG page in the future.
Only logged-in user will see student personal numbers.

Dates found, count: 1

Search result paging

Found 1 records Print Export to xls List URL
  Surname Name Title Thesis status   Supervisors Reviewers Type of thesis Date of def. Title
Student Type of thesis - - - - - - - - - -
Item shown in detail Nehodová Includes the selected person into the timetable overlap calculation. Romana The External Control of Small Robotic Systems Using EEG Signals The External Control of Small Robotic Systems Using EEG Signals Thesis finished and defended successfully (DUO).   Jašek Roman Kolařík Martin Master's thesis 1465164000000 06.06.2016 The External Control of Small Robotic Systems Using EEG Signals Thesis finished and defended successfully (DUO).
Romana Nehodová Master's thesis 0XX 0XX 0XX 0XX 0XX 0XX 0XX 0XX 0XX 0XX

Thesis info Řízení externích malých robotických systémů pomocí EEG signálů

  • Basic data
The document you are accessing is protected by copyright law. Unauthorised use may lead to criminal sanctions.
Name Nehodová Romana Includes the selected person into the timetable overlap calculation.
Acad. Yr. 2015/2016
Assigning department AUIUI
Date of defence Jun 6, 2016
Type of thesis Master's thesis
Thesis status Thesis finished and defended successfully (DUO). Thesis finished and defended successfully (DUO).
Completeness of mandatory entries - All mandatory fields for this Thesis are filled in.
Main topic Řízení externích malých robotických systémů pomocí EEG signálů
Main topic in English The External Control of Small Robotic Systems Using EEG Signals
Title according to student Řízení externích malých robotických systémů pomocí EEG signálů
English title as given by the student The External Control of Small Robotic Systems Using EEG Signals
Parallel name -
Subtitle -
Thesis supervisor Jašek Roman, prof. Mgr. Ph.D., DBA
External examiner Kolařík Martin, Ing. PhD.
Annotation Tato diplomová práce se zabývá ovládáním externího zařízení, sestaveného z Lega Mindstorms EV3, pomocí mozkových vln snímaných EEG zařízením (Emotiv Epoc). Komunikaci mezi oběma zařízeními a nastavení ovládacích prvků zajišťuje Aplikace 3RO, která je napsaná v jazyce C#.
Annotation in English This diploma thesis deals with the control of an external device, compiled of Lego Mindstorms EV3, using brainwaves read by EEG device (Emotiv Epoc). Communication between two devices and setting controls is ensured by the Application 3RO that is written in C#.
Keywords Brain Computer Interface (BCI), Elektroencefalogram (EEG), Emotiv Epoc, Lego Mindstorms EV3
Keywords in English Brain Computer Interface (BCI), Electroencephalogram (EEG), Emotiv Epoc, Lego Mindstorms EV3
Length of the covering note 70 s. (63 106 znaků)
Language CZ
Annotation
Tato diplomová práce se zabývá ovládáním externího zařízení, sestaveného z Lega Mindstorms EV3, pomocí mozkových vln snímaných EEG zařízením (Emotiv Epoc). Komunikaci mezi oběma zařízeními a nastavení ovládacích prvků zajišťuje Aplikace 3RO, která je napsaná v jazyce C#.
Annotation in English
This diploma thesis deals with the control of an external device, compiled of Lego Mindstorms EV3, using brainwaves read by EEG device (Emotiv Epoc). Communication between two devices and setting controls is ensured by the Application 3RO that is written in C#.
Keywords
Brain Computer Interface (BCI), Elektroencefalogram (EEG), Emotiv Epoc, Lego Mindstorms EV3
Keywords in English
Brain Computer Interface (BCI), Electroencephalogram (EEG), Emotiv Epoc, Lego Mindstorms EV3
Research Plan
  1. Proveďte informační rešerši v oblasti technologie BCI.
  2. Vyberte druhy signálů, které budou vhodné k ovládání malých robotických systémů.
  3. Sestavte model vhodný pro testování BCI komunikace.
  4. Navrhněte SW aplikaci, která zabezpečí \symbol{34}brain - computer\symbol{34} komunikaci.
  5. Ověřte funkčnost aplikace a ověřte její využití v edukační oblasti.
  6. Proveďte diskusi ke zvolenému řešení.
Research Plan
  1. Proveďte informační rešerši v oblasti technologie BCI.
  2. Vyberte druhy signálů, které budou vhodné k ovládání malých robotických systémů.
  3. Sestavte model vhodný pro testování BCI komunikace.
  4. Navrhněte SW aplikaci, která zabezpečí \symbol{34}brain - computer\symbol{34} komunikaci.
  5. Ověřte funkčnost aplikace a ověřte její využití v edukační oblasti.
  6. Proveďte diskusi ke zvolenému řešení.
Recommended resources
  1. B.M. Beasley, Understanding EKGs: A Practical Approach, Prentice Hall, 2003.
  2. R. Palaniappan, C.N. Gupta, C.K. Luk, and S.M. Krishnan, "Multi-parameter detection of ectopic heart beats," Proceedings of IEEE International Workshop on Biomedical Circuits and Systems, S2.4.1:4.4, 2004.
  3. Massachusetts General Hospital/Marquette Foundation (MGH/MF) Waveform Database: Available: http://www.physionet.org/pn3/mghdb/.
  4. R. Palaniappan, C.S. Syan and P. Raveendran, "Current practices in electroencephalogram based brain-computer interfaces," published in M. Khosrow-Pour (ed.): Encyclopedia of Information Science and Technology, 2nd ed.," II:888-901, IGI Global, 2009.
  5. E. Donchin, K.M. Spencer, and R. Wijesinghe, " e mental prosthesis: assessing the speed of a P300-based brain-computer interface," IEEE Transactions on Rehabilitation Engineering, 8(2):174-179, June 2000.
  6. M. ulasidas, G. Cuntai, and W. Jiankang, "Robust classi cation of EEG signal for brain- computer interface," IEEE Transactions on Neural Systems and Rehabilitation Engineering, 14:24-29, 2006.
Recommended resources
  1. B.M. Beasley, Understanding EKGs: A Practical Approach, Prentice Hall, 2003.
  2. R. Palaniappan, C.N. Gupta, C.K. Luk, and S.M. Krishnan, "Multi-parameter detection of ectopic heart beats," Proceedings of IEEE International Workshop on Biomedical Circuits and Systems, S2.4.1:4.4, 2004.
  3. Massachusetts General Hospital/Marquette Foundation (MGH/MF) Waveform Database: Available: http://www.physionet.org/pn3/mghdb/.
  4. R. Palaniappan, C.S. Syan and P. Raveendran, "Current practices in electroencephalogram based brain-computer interfaces," published in M. Khosrow-Pour (ed.): Encyclopedia of Information Science and Technology, 2nd ed.," II:888-901, IGI Global, 2009.
  5. E. Donchin, K.M. Spencer, and R. Wijesinghe, " e mental prosthesis: assessing the speed of a P300-based brain-computer interface," IEEE Transactions on Rehabilitation Engineering, 8(2):174-179, June 2000.
  6. M. ulasidas, G. Cuntai, and W. Jiankang, "Robust classi cation of EEG signal for brain- computer interface," IEEE Transactions on Neural Systems and Rehabilitation Engineering, 14:24-29, 2006.
Týká se praxe No
Enclosed appendices -
Appendices bound in thesis -
Taken from the library No
Full text of the thesis
Appendices
Reviewer's report
Supervisor's report
Defence procedure record file