Gesture Classification Based on Electromyography

Klasifikace gest založená na elektromyografii

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České vysoké učení technické v Praze
Czech Technical University in Prague

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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.

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.

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A university thesis is a work protected by the Copyright Act of the Czech Republic. 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.

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 v platném znění.

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