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Multichannel EMG signal processing for gesture recognition
Brázdil, Štěpán ; Králík, Martin (referee) ; Harabiš, Vratislav (advisor)
This work deals with the complex solution of the problem concerning the design and implementation of the system for the collection, classification and visualization of EMG signal. The thesis is designed with respect to possible future applications like implementation of a real limb model controlled by the proposed system. In the introductory part the theoretical knowledge of EMG signal generation and sensing possibilities, including the anatomical structure of the upper limb, are revealed. In the other parts, the possible realization of measurements using the BITalino system and the use of data processing and classification using the Matlab program are discussed. The output of this work is a functional program code that allows visualization of upper limb gestures in the graphical user interface.
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Active upper limb prosthesis
Brázdil, Štěpán ; Sekora, Jiří (referee) ; Harabiš, Vratislav (advisor)
This thesis focuses on the field of prosthetics, especially the issue of active prosthesis control. The goal is to perform a comprehensive analysis, design and construction of a prosthetic system that, based on the analysis of sensory data (such as an EMG signal from multiple channels), can correctly classify a gesture and a subsequent moving of the limb model. The first parts of the thesis are an important description of the critical components and important parameters of the active prosthesis system, including comparison and selection of available open source solutions. Next is a proposal of interconnection and description of individual hardware and software components. It also includes documentation of the real constructed system, which consists of the InMoov robotic hand, the Raspberry Pi controller and accessories. The results are critically evaluated in the last part of this work.
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Active Upper Limb Prosthesis
Brázdil, Štěpán
This work focuses on the field of prosthetics, especially the issue of active prosthesis control. The goal is to perform a comprehensive analysis, design and construction of a mobile prosthetic system that, based on the analysis of sensory data (such as an EMG signal from multiple channels), can correctly classify a gesture and subsequent moving of the limb model. The measurements and test are executed on the real constructed system, which consists of the InMoov robotic hand, the Raspberry Pi controller and accessories. The results are critically evaluated, and future improvements are discussed.
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Active upper limb prosthesis
Brázdil, Štěpán ; Sekora, Jiří (referee) ; Harabiš, Vratislav (advisor)
This thesis focuses on the field of prosthetics, especially the issue of active prosthesis control. The goal is to perform a comprehensive analysis, design and construction of a prosthetic system that, based on the analysis of sensory data (such as an EMG signal from multiple channels), can correctly classify a gesture and a subsequent moving of the limb model. The first parts of the thesis are an important description of the critical components and important parameters of the active prosthesis system, including comparison and selection of available open source solutions. Next is a proposal of interconnection and description of individual hardware and software components. It also includes documentation of the real constructed system, which consists of the InMoov robotic hand, the Raspberry Pi controller and accessories. The results are critically evaluated in the last part of this work.
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Multichannel Emg Signal Processing For Gesture
Recognition
Brázdil, Štěpán
This work deals with the complex solution of the problem concerning the design and implementation of the system for the collection, classification and visualization of EMG signal. Project is designed with respect to possible future applications like implementation of a real limb model controlled by the proposed system. The main goal of this work is developing of functional program code in Matlab that allows visualization basic upper limb gestures (e. g. grip, finger extension) in the graphical user interface.
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Multichannel EMG signal processing for gesture recognition
Brázdil, Štěpán ; Králík, Martin (referee) ; Harabiš, Vratislav (advisor)
This work deals with the complex solution of the problem concerning the design and implementation of the system for the collection, classification and visualization of EMG signal. The thesis is designed with respect to possible future applications like implementation of a real limb model controlled by the proposed system. In the introductory part the theoretical knowledge of EMG signal generation and sensing possibilities, including the anatomical structure of the upper limb, are revealed. In the other parts, the possible realization of measurements using the BITalino system and the use of data processing and classification using the Matlab program are discussed. The output of this work is a functional program code that allows visualization of upper limb gestures in the graphical user interface.
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