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Sensing Technology for Assessing Motor Behavior in Ballet: A Systematic Review
Virginia Quadrado1,2, Margarida Moreira3, Hugo Ferreira3
1CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Estrada da Costa, 1499-002, Lisbon, Portugal. quadradovirginia@gmail.com.
Sports Medicine - Open
|March 14, 2022
Summary
This review highlights the growing use of sensing technologies in classical ballet to quantify dancer performance. Combining multiple technologies like motion capture and electromyography enhances data reliability for defining elite dancers.
Area of Science:
- Biomechanics of human movement
- Sports science and technology
- Classical ballet performance analysis
Background:
- Classical ballet performance is a growing research area.
- Technological advancements in human movement sciences are increasingly applied to ballet.
- The study systematically reviews sensing technologies for quantifying ballet movements.
Approach:
- A systematic review of PubMed, MEDLINE, EMBASE, and Web of Science databases up to 2020.
- Included studies utilized motor control tools to evaluate classical ballet movements.
- Data were tabulated, and risk of bias was analyzed.
Key Points:
- Eighty studies on classical ballet, primarily involving pre-professional dancers, were included.
- Motion capture, force plates, electromyography, and inertial sensors are the most common technologies.
- 55% of studies employed two or more technologies for data collection.
Conclusions:
- Combining multiple sensing technologies improves data reliability and characterization of ballet movements.
- Further research is needed on muscle-brain interaction in dancers.
- Quantitative tools can help define the characteristics of an elite dancer.
