Evidence map›Paper›PMID 32707927›Full record

ArticleSensors (Basel, Switzerland)2020

Analysis of Precision and Stability of Hand Tracking with Leap Motion Sensor.

Aleš Vysocký, Stefan Grushko, Petr Oščádal, Tomáš Kot, Ján Babjak, Rudolf Jánoš, Marek Sukop, Zdenko Bobovský

Abstract readLetter
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Aleš VysockýDepartment of Robotics, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic.ORCID 0000-0001-6942-4280
Stefan GrushkoDepartment of Robotics, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic.ORCID 0000-0002-8984-153X
Petr OščádalDepartment of Robotics, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic.ORCID 0000-0002-6973-1501
Tomáš KotDepartment of Robotics, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic.ORCID 0000-0003-2357-806X
Ján BabjakDepartment of Robotics, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic.ORCID 0000-0002-2219-0840
Rudolf JánošDepartment of Robotics, Faculty of Mechanical Engineering, Technical University of Kosice, 04200 Kosice, Slovakia.
Marek SukopDepartment of Robotics, Faculty of Mechanical Engineering, Technical University of Kosice, 04200 Kosice, Slovakia.
Zdenko BobovskýDepartment of Robotics, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 70800 Ostrava, Czech Republic.ORCID 0000-0003-4134-5251

Funding

Ministerstvo Školství, Mládeže a Tělovýchovy CZ.02.1.01/0.0/0.0/17_049/0008425Ministerstvo Školství, Mládeže a Tělovýchovy SP2020/141Vedecká Grantová Agentúra MŠVVaŠ SR a SAV VEGA 1/0389/18
6 · The paper itself

Abstract

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.

Indexed as

HandRoboticsBiosensing TechniquesForecastingGesturesHumansMotioncollaborative robotgesturehand trackingleap motionrobot

Identifiers

PMID32707927
PMCPMC7436110

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.