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.
Anotace v angličtině
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.
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.
Anotace v angličtině
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.
Investigate prospective application fields of the Myo Armband system
Design Matlab model of control system with using of Myo Armband
Test Myo Armband for control of Arduino-based robotic hand
Zásady pro vypracování
Analyze Myo Armband system
Investigate prospective application fields of the Myo Armband system
Design Matlab model of control system with using of Myo Armband
Test Myo Armband for control of Arduino-based robotic hand
Seznam doporučené literatury
\renewcommand{\labelenumi}{[\theenumi]}
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
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
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.
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
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
MUZUMDAR, Ashok. Powered Upper Limb Prostheses: Control, Implementation and Clinical Application. 1. Berlin Heidelberg: Springer-Verlag, 2004. ISBN 978-3-642-62302-8.
Seznam doporučené literatury
\renewcommand{\labelenumi}{[\theenumi]}
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
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
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.
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
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
MUZUMDAR, Ashok. Powered Upper Limb Prostheses: Control, Implementation and Clinical Application. 1. Berlin Heidelberg: Springer-Verlag, 2004. ISBN 978-3-642-62302-8.
Přílohy volně vložené
Program for PC, program for Arduino, ML models in Python.
Přílohy vázané v práci
ilustrace, grafy, schémata, tabulky
Převzato z knihovny
Ano
Plný text práce
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Hodnocení vedoucího
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