Klasifikace gest založená na elektromyografii
Gesture Classification Based on Electromyography
dc.contributor.advisor | Pošík Petr | |
dc.contributor.author | Caro Néstor | |
dc.date.accessioned | 2016-06-05T09:43:38Z | |
dc.date.available | 2016-06-05T09:43:38Z | |
dc.date.issued | 2016-05-27 | |
dc.identifier | KOS-593779561605 | |
dc.identifier.uri | http://hdl.handle.net/10467/64858 | |
dc.description.abstract | The purpose of the work is to identify different hand poses based in the Electromyography raw signals provided from a Myo armband, using various signal processing, feature extraction and pattern recognition techniques. First we will replicate the gesture dictionary provided by the manufacturer, and then we will explore different hand poses that are compatible with the basic dictionary of gestures, and then expanding the amount of recognizable gestures for the tested classifiers. | cze |
dc.description.abstract | The purpose of the work is to identify different hand poses based in the Electromyography raw signals provided from a Myo armband, using various signal processing, feature extraction and pattern recognition techniques. First we will replicate the gesture dictionary provided by the manufacturer, and then we will explore different hand poses that are compatible with the basic dictionary of gestures, and then expanding the amount of recognizable gestures for the tested classifiers. | eng |
dc.language.iso | ENG | |
dc.publisher | České vysoké učení technické v Praze. Vypočetní a informační centrum. | cze |
dc.publisher | Czech Technical University in Prague. Computing and Information Centre. | eng |
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 http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf and the citation ethics http://www.cvut.cz/sites/default/files/content/d1dc93cd-5894-4521-b799-c7e715d3c59e/cs/20160901-metodicky-pokyn-c-12009-o-dodrzovani-etickych-principu-pri-priprave-vysokoskolskych.pdf | eng |
dc.rights | Vysokoškolská závěrečná práce je dílo chráněné autorským zákonem. 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 http://www.mkcr.cz/assets/autorske-pravo/01-3982006.pdf a citační etikou http://www.cvut.cz/sites/default/files/content/d1dc93cd-5894-4521-b799-c7e715d3c59e/cs/20160901-metodicky-pokyn-c-12009-o-dodrzovani-etickych-principu-pri-priprave-vysokoskolskych.pdf | cze |
dc.subject | Electromyography, Machine Learning, Myo armband | cze |
dc.subject | Electromyography, Machine Learning, Myo armband | eng |
dc.title | Klasifikace gest založená na elektromyografii | cze |
dc.title | Gesture Classification Based on Electromyography | eng |
dc.type | diplomová práce | cze |
dc.type | master thesis | eng |
dc.date.accepted | ||
dc.contributor.referee | Chudáček Václav | |
theses.degree.discipline | Robotika | cze |
theses.degree.grantor | katedra kybernetiky | cze |
theses.degree.programme | Kybernetika a robotika | cze |
Soubory tohoto záznamu
Tento záznam se objevuje v následujících kolekcích
-
Diplomové práce - 13133 [495]