Evidence map›Paper›PMID 40807878›Full record

ArticleSensors (Basel, Switzerland)2025

Operatic Singing Biomechanics: Skeletal Tracking Sensor Integration for Pedagogical Innovation.

Evangelos Angelakis, Konstantinos Bakogiannis, Anastasia Georgaki, Areti Andreopoulou

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Evangelos AngelakisLaboratory of Music Acoustics and Technology (LabMAT), Department of Music Studies, National and Kapodistrian University of Athens, Panepistimioupoli, Ilisia, 15784 Athens, Greece.ORCID 0000-0002-5242-5006
Konstantinos BakogiannisLaboratory of Music Acoustics and Technology (LabMAT), Department of Music Studies, National and Kapodistrian University of Athens, Panepistimioupoli, Ilisia, 15784 Athens, Greece.ORCID 0000-0002-2423-4595
Anastasia GeorgakiLaboratory of Music Acoustics and Technology (LabMAT), Department of Music Studies, National and Kapodistrian University of Athens, Panepistimioupoli, Ilisia, 15784 Athens, Greece.ORCID 0000-0002-2309-0550
Areti AndreopoulouLaboratory of Music Acoustics and Technology (LabMAT), Department of Music Studies, National and Kapodistrian University of Athens, Panepistimioupoli, Ilisia, 15784 Athens, Greece.ORCID 0000-0003-0287-0459

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Operatic singing, traditionally taught through empirical and subjective methods, demands innovative approaches to enhance its pedagogical effectiveness today. This paper introduces a novel integration of advanced skeletal tracking technology into a prototype framework for operatic singing pedagogy research. Using the Microsoft Kinect Azure DK sensor, this prototype extracts detailed data on spinal, cervical, and shoulder alignment and movement data, with the aim of quantifying biomechanical movements during vocal performance. Preliminary results confirmed high face validity and biomechanical relevance. The incorporation of skeletal-tracking technology into vocal pedagogy research could help clarify certain technical aspects of singing and enhance sensorimotor feedback for the training of operatic singers.

Indexed as

SingingAdultBiomechanical PhenomenaHumansMaleMovementmultisensor recordingoperatic singingskeletal trackingvocal pedagogy researchvoice biomechanics

Identifiers

PMID40807878
PMCPMC12349234

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.