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Ovládání počítače gesty

Authors: Jaroň, Lukáš;

Ovládání počítače gesty

Abstract

V této diplomové práci jsou popsány možnosti a principy mnou navrženého uživatelského rozhraní, s jehož pomocí lze ovládat počítač gesty. V práci jsou obecně popsány přístupy pro ovládání gesty a detailněji je vysvětlena implementace zvolené detekce rukou a prstů pomocí hloubkové mapy načítané ze senzoru Kinect. Implementace se též věnuje rozpoznávání gest pomocí skrytých Markovových modelů. Pro demonstrační účely je navržena a implementována aplikace pro prohlížení fotografií, jež využívá vyvinutého uživatelského rozhraní. Práce se též zaměřuje na testování kvality a správnosti vyhodnocování pro zvolený rozpoznávač gest.

This masters thesis describes possibilities and principles of gesture-based computer interface. The work describes general approaches for gesture control. It also deals with implementation of the selected detection method of the hands and fingers using depth maps loaded form Kinect sensor. The implementation also deals with gesture recognition using hidden Markov models. For demonstration purposes there is also described implementation of a simple photo viewer that uses developed gesture-based computer interface. The work also focuses on quality testing and accuracy evaluation for selected gesture recognizer.

D

Country
Czech Republic
Related Organizations
Keywords

hands detection, skryté Markovovy modely, OpenNI, Kinect, rozpoznávání gest ruky, OpenCV, detekce rukou, hidden Markov Models, hand gesture recognition

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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