Evidence map›Paper›PMID 38139692›Full record

ArticleSensors (Basel, Switzerland)2023

Give Me a Sign: Using Data Gloves for Static Hand-Shape Recognition.

Philipp Achenbach, Sebastian Laux, Dennis Purdack, Philipp Niklas Müller, Stefan Göbel

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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.

Philipp AchenbachSerious Games Group, Technical University of Darmstadt, 64289 Darmstadt, Germany.ORCID 0000-0003-4948-4440
Sebastian LauxSerious Games Group, Technical University of Darmstadt, 64289 Darmstadt, Germany.ORCID 0000-0002-7972-417X
Dennis PurdackSerious Games Group, Technical University of Darmstadt, 64289 Darmstadt, Germany.ORCID 0000-0002-7916-0765
Philipp Niklas MüllerSerious Games Group, Technical University of Darmstadt, 64289 Darmstadt, Germany.ORCID 0000-0001-9660-691X
Stefan GöbelSerious Games Group, Technical University of Darmstadt, 64289 Darmstadt, Germany.ORCID 0000-0003-3651-8744

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human-to-human communication via the computer is mainly carried out using a keyboard or microphone. In the field of virtual reality (VR), where the most immersive experience possible is desired, the use of a keyboard contradicts this goal, while the use of a microphone is not always desirable (e.g., silent commands during task-force training) or simply not possible (e.g., if the user has hearing loss). Data gloves help to increase immersion within VR, as they correspond to our natural interaction. At the same time, they offer the possibility of accurately capturing hand shapes, such as those used in non-verbal communication (e.g., thumbs up, okay gesture, …) and in sign language. In this paper, we present a hand-shape recognition system using

Indexed as

HandVirtual RealityGesturesHumansRecognition, PsychologySign Languageclassificationdata augmentationfeature selectionhand-shape recognitionlogistic regressionmachine learningoutlier detectionrandom forest classifiersign languagesupport vector machinesvirtual realityvoting meta-classifier

Identifiers

PMID38139692
PMCPMC10747392

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.