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Analysis of Precision and Stability of Hand Tracking with Leap Motion Sensor
A. Vysocký, S. Grushko, P. Oščádal, T. Kot, J. Babjak, R. Jánoš, M. Sukop, Z. Bobovský
Jazyk angličtina Země Švýcarsko
Typ dokumentu dopisy
Grantová podpora
CZ.02.1.01/0.0/0.0/17_049/0008425
Ministerstvo Školství, Mládeže a Tělovýchovy
SP2020/141
Ministerstvo Školství, Mládeže a Tělovýchovy
VEGA 1/0389/18
Vedecká Grantová Agentúra MŠVVaŠ SR a SAV
NLK
Directory of Open Access Journals
od 2001
PubMed Central
od 2003
Europe PubMed Central
od 2003
ProQuest Central
od 2001-01-01
Open Access Digital Library
od 2001-01-01
Open Access Digital Library
od 2003-01-01
Health & Medicine (ProQuest)
od 2001-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2001
PubMed
32707927
DOI
10.3390/s20154088
Knihovny.cz E-zdroje
- MeSH
- biosenzitivní techniky MeSH
- gesta MeSH
- lidé MeSH
- pohyb těles MeSH
- předpověď MeSH
- robotika * MeSH
- ruka * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- dopisy MeSH
In this analysis, we present results from measurements performed to determine the stability of a hand tracking system and the accuracy of the detected palm and finger's position. Measurements were performed for the evaluation of the sensor for an application in an industrial robot-assisted assembly scenario. Human-robot interaction is a relevant topic in collaborative robotics. Intuitive and straightforward control tools for robot navigation and program flow control are essential for effective utilisation in production scenarios without unnecessary slowdowns caused by the operator. For the hand tracking and gesture-based control, it is necessary to know the sensor's accuracy. For gesture recognition with a moving target, the sensor must provide stable tracking results. This paper evaluates the sensor's real-world performance by measuring the localisation deviations of the hand being tracked as it moves in the workspace.
Citace poskytuje Crossref.org
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- $a In this analysis, we present results from measurements performed to determine the stability of a hand tracking system and the accuracy of the detected palm and finger's position. Measurements were performed for the evaluation of the sensor for an application in an industrial robot-assisted assembly scenario. Human-robot interaction is a relevant topic in collaborative robotics. Intuitive and straightforward control tools for robot navigation and program flow control are essential for effective utilisation in production scenarios without unnecessary slowdowns caused by the operator. For the hand tracking and gesture-based control, it is necessary to know the sensor's accuracy. For gesture recognition with a moving target, the sensor must provide stable tracking results. This paper evaluates the sensor's real-world performance by measuring the localisation deviations of the hand being tracked as it moves in the workspace.
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