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.
Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:413016 |
Date | January 2020 |
Creators | Brázdil, Štěpán |
Contributors | Sekora, Jiří, Harabiš, Vratislav |
Publisher | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií |
Source Sets | Czech ETDs |
Language | Czech |
Detected Language | English |
Type | info:eu-repo/semantics/masterThesis |
Rights | info:eu-repo/semantics/restrictedAccess |
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