dc.contributor	Bischoff Stefan, prof. RNDr. : 60057
dc.contributor.advisor	Koprnický Jan, Ing. Ph.D. : 54923
dc.contributor.author	Griaznov, Denis
dc.date.accessioned	2020-09-23T10:01:59Z
dc.date.available	2020-09-23T10:01:59Z
dc.date.committed	2020-5-18
dc.date.defense	2020-06-15
dc.date.submitted	2019-11-8
dc.date.updated	2020-6-15
dc.degree.level	Ing.
dc.description.abstract	This work describes research of myoelectric interfaces and their application for controlling robotic systems. Hand gesture data collection software has been created. The neural network was designed and trained to recognize various gestures. The accuracy was 0.96 for four gestures and 0.925 for seven gestures. The prototype of myoelectric signals controlled robot with two degrees of freedom was created. Wireless direct control via bluetooth was implemented.	cs
dc.description.abstract	This work describes research of myoelectric interfaces and their application for controlling robotic systems. Hand gesture data collection software has been created. The neural network was designed and trained to recognize various gestures. The accuracy was 0.96 for four gestures and 0.925 for seven gestures. The prototype of myoelectric signals controlled robot with two degrees of freedom was created. Wireless direct control via bluetooth was implemented.	en
dc.description.mark
dc.format	41 p. (48 872 characters)
dc.format.extent	Ilustrace, Schémata, Grafy, Tabulky Program for PC, program for Arduino, ML models in Python.
dc.identifier.signature	V 202002136
dc.identifier.uri	https://dspace.tul.cz/handle/15240/157776
dc.language.iso	an
dc.relation.isbasedon	renewcommandlabelenumi[theenumi] beginarab item HASSAN, Hussein F., Sadiq J. ABOU-LOUKH a Ibraheem Kasim IBRAHEEM. Teleoperated robotic arm movement using electromyography signal with wearable Myo armband. Journal of King Saud University - Engineering Sciences. 2019. DOI: 10.1016/j.jksues.2019.05.001. ISSN 1018-3639. Available from: http://www.sciencedirect.com/science/article/pii/S1018363919300340 item VISCONTI, P., F. GAETANI, G. A. ZAPPATORE a P. PRIMICERI. Technical Features and Functionalities of Myo Armband: An Overview on Related Literature and Advanced Applications of Myoelectric Armbands Mainly Focused on Arm Prostheses. International Journal on Smart Sensing and Intelligent Systems. 2018, 11(1), 1?25. DOI: 10.21307/ijssis-2018-005. ISSN 1178-5608. Available from: https://www.exeley.com/in_jour_smart_sensing_and_intelligent_systems/doi/10.21307/ijssis-2018-005 item GERYES, M., J. CHARARA, A. SKAIKY, A. MCHEICK a J. GIRAULT. A novel biomedical application for the Myo gesture control armband. In: 2017 29th International Conference on Microelectronics (ICM). 2017, p. 1-4. DOI: 10.1109/ICM.2017.8268823. item MORAIS, Gabriel Doretto, Leonardo C. NEVES, Andrey A. MASIERO a Maria Claudia F. CASTRO. Application of Myo Armband System to Control a Robot Interface:. In: 9th International Conference on Bio-inspired Systems and Signal Processing. SCITEPRESS - Science and and Technology Publications, 2016, p. 227-231. DOI: 10.5220/0005706302270231. ISBN 978-989-758-170-0. Available from: http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0005706302270231 item ABDUO, Mahmoud a Matthias GALSTER. Myo Gesture Control Armband for Medical Applications. Engineering: Reports. University of Canterbury, 2015, 2015(693), 1-29. Available from: https://ir.canterbury.ac.nz/handle/10092/14449 item MUZUMDAR, Ashok. Powered Upper Limb Prostheses: Control, Implementation and Clinical Application. 1. Berlin Heidelberg: Springer-Verlag, 2004. ISBN 978-3-642-62302-8. endarab
dc.rights	Vysokoškolská závěrečná práce je autorské dílo chráněné dle zákona č. 121/2000 Sb., autorský zákon, ve znění pozdějších předpisů. Je možné pořizovat z něj na své náklady a pro svoji osobní potřebu výpisy, opisy a rozmnoženiny. Jeho využití musí být v souladu s autorským zákonem https://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf a citační etikou https://knihovna.tul.cz/document/26	cs
dc.rights	A university thesis is a work protected by the Copyright Act. Extracts, copies and transcripts of the thesis are allowed for personal use only and at one?s own expense. The use of thesis should be in compliance with the Copyright Act. https://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf and the citation ethics https://knihovna.tul.cz/document/26	en
dc.rights.uri	https://knihovna.tul.cz/document/26
dc.rights.uri	https://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf
dc.subject	electromyography	cs
dc.subject	Myo Armband	cs
dc.subject	robotic control	cs
dc.subject	neural networks	cs
dc.subject	electromyography	en
dc.subject	Myo Armband	en
dc.subject	robotic control	en
dc.subject	neural networks	en
dc.title	Electromyography control of robotic systems	cs
dc.title	Electromyography control of robotic systems	en
dc.type	diplomová práce	cs
local.degree.abbreviation	Navazující
local.degree.discipline	MEA
local.degree.programme	Mechatronics
local.degree.programmeabbreviation	N0714A150003
local.department.abbreviation	MTI
local.faculty	Fakulta mechatroniky, informatiky a mezioborových studií	cs
local.faculty.abbreviation	FM
local.identifier.author	M19000191
local.identifier.stag	40675
local.identifier.verbis
local.identifier.verbis	kpw06667705
local.note.administrators	automat
local.note.secrecy	Povoleno ZverejnitPraci Povoleno ZverejnitPosudky
local.poradovecislo	2136

Electromyography control of robotic systems

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