Evidence map›Paper›PMID 41012957›Full record

ArticleSensors (Basel, Switzerland)2025

Evaluation of Commercial Camera-Based Solutions for Tracking Hand Kinematics.

Alexander H Sprague, Christopher Vogel, Mylah Williams, Evelynne Wolf, Derek Kamper

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Alexander H SpragueLampe Joint Department of Biomedical Engineering at the University of North Carolina at Chapel Hill (Chapel Hill, NC) and North Carolina State University (Raleigh, NC), Raleigh, NC 27695, USA.ORCID 0009-0007-1706-1343
Christopher VogelLampe Joint Department of Biomedical Engineering at the University of North Carolina at Chapel Hill (Chapel Hill, NC) and North Carolina State University (Raleigh, NC), Raleigh, NC 27695, USA.ORCID 0009-0009-9398-9244
Mylah WilliamsLampe Joint Department of Biomedical Engineering at the University of North Carolina at Chapel Hill (Chapel Hill, NC) and North Carolina State University (Raleigh, NC), Raleigh, NC 27695, USA.ORCID 0009-0002-6339-701X
Evelynne WolfLampe Joint Department of Biomedical Engineering at the University of North Carolina at Chapel Hill (Chapel Hill, NC) and North Carolina State University (Raleigh, NC), Raleigh, NC 27695, USA.ORCID 0009-0007-0787-7912
Derek KamperLampe Joint Department of Biomedical Engineering at the University of North Carolina at Chapel Hill (Chapel Hill, NC) and North Carolina State University (Raleigh, NC), Raleigh, NC 27695, USA.

Funding

A multimodal intervention to improve manual dexterity in subacute stroke survivorsR21HD105874 · NICHD · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI KAMPER, DEREK · 2021 to 2022
$397k
National Institute on Disability, Independent Living, and Rehabilitation Research ASSET RERC, 90REGE0017-01NICHD NIH HHS R21 HD105874NIH HHS NICHD, 1 R21 HD105874-01
6 · The paper itself

Abstract

Tracking hand kinematics is essential for numerous clinical and scientific applications. Markerless motion capture devices have advantages over other modalities in terms of calibration, set up, and overall ease of use; however, their accuracy during dynamic tasks has not been fully explored. This study examined the performance of two popular markerless systems, the Leap Motion Controller 2 (LM2) and MediaPipe (MP), in capturing joint motion of the digits. Data were compared to joint motion collected from a marker-based multi-camera system (Vicon). Eleven participants performed six tasks with their dominant right hand at three movement speeds while all three devices simultaneously captured the position of hand landmarks. Using these data, digit joint angles were calculated. The root mean squared error (RMSE) and correlation coefficient (

Indexed as

HandAdultBiomechanical PhenomenaFemaleHumansMaleMovementRange of Motion, ArticularYoung AdulthandkinematicsLeap Motion Controller 2MediaPipemotion capture

Identifiers

PMID41012957
PMCPMC12473350

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.