Evidence map›Paper›PMID 27769844›Full record

ArticleJournal of hand therapy : official journal of the American Society of Hand Therapists

Modifying Kinect placement to improve upper limb joint angle measurement accuracy.

Na Jin Seo, Mojtaba F Fathi, Pilwon Hur, Vincent Crocher

Abstract read
In one paragraph

Article in Journal of hand therapy : official journal of the American Society of Hand Therapists. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Kinect-based assessment of proximal arm non-use after a stroke.Journal of neuroengineering and rehabilitation · 2018
    Trial
  2. Article
  3. Article
  4. The elbow is the load-bearing joint during arm swing.Clinics in shoulder and elbow · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. [Accuracy of key point matrix technology based contactless automatic measurement for joint motion of hand].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Capturing Upper Limb Gross Motor Categories Using the Kinect® Sensor.The American journal of occupational therapy : official publication of the American Occupational Therapy Association
    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

4 authors.

Na Jin SeoDivision of Occupational Therapy, Department of Health Professions, Medical University of South Carolina, Charleston, SC, USA; Department of Health Sciences and Research, Medical University of South Carolina, Charleston, SC, USA. Electronic address: seon@musc.edu.
Mojtaba F FathiDepartment of Mechanical Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
Pilwon HurDepartment of Mechanical Engineering, Texas A&M University, College Station, TX, USA.
Vincent CrocherThe Melbourne School of Engineering, The University of Melbourne, Melbourne, Victoria, Australia.

Funding

Improving Outcome Measurement for Medical Rehabilitaiton Clinical TrialsR24HD065688 · NICHD · BOSTON UNIVERSITY MEDICAL CAMPUS · PI JETTE, ALAN MAURICE, ZAFONTE, ROSS DENNIS · 2010 to 2014
$3.9M
NICHD NIH HHS R24 HD065688
6 · The paper itself

Abstract

STUDY

designRepeated measures.

introductionThe Kinect (Microsoft, Redmond, WA) is widely used for telerehabilitation applications including rehabilitation games and assessment. PURPOSE OF THE STUDY: To determine effects of the Kinect location relative to a person on measurement accuracy of upper limb joint angles.

methodsKinect error was computed as difference in the upper limb joint range of motion (ROM) during target reaching motion, from the Kinect vs 3D Investigator Motion Capture System (NDI, Waterloo, Ontario, Canada), and compared across 9 Kinect locations.

resultsThe ROM error was the least when the Kinect was elevated 45° in front of the subject, tilted toward the subject. This error was 54% less than the conventional location in front of a person without elevation and tilting. The ROM error was the largest when the Kinect was located 60° contralateral to the moving arm, at the shoulder height, facing the subject. The ROM error was the least for the shoulder elevation and largest for the wrist angle. DISCUSSION: Accuracy of the Kinect sensor for detecting upper limb joint ROM depends on its location relative to a person.

conclusionThis information facilitates implementation of Kinect-based upper limb rehabilitation applications with adequate accuracy. LEVEL OF EVIDENCE: 3b.

Indexed as

SoftwareAdultArthrometry, ArticularBiomechanical PhenomenaCohort StudiesFemaleHumansMaleOntarioQuality ImprovementRange of Motion, ArticularShoulder JointUpper ExtremityYoung AdultAccuracyArm movementKinect locationMotion capturerange of motionUpper limb joint angle

Identifiers

PMID27769844
PMCPMC6701865

What OpenQuestion holds

Textmetadata
LicenceTDM
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.