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

## TL;DR

This paper introduces a new method using skeletal tracking sensors to study and improve the teaching of operatic singing.

## Contribution

The paper presents a novel integration of skeletal tracking technology for biomechanical analysis in operatic singing pedagogy.

## Key findings

- The Microsoft Kinect Azure DK sensor effectively captures spinal, cervical, and shoulder movement data during singing.
- Preliminary results show high face validity and biomechanical relevance of the tracking method.
- The technology could enhance sensorimotor feedback and clarify technical aspects of operatic singing.

## 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.