Advancing Circus Biomechanics and Physiology Research with Wearable Technology: Challenges and Recommendations

Circus athletes represent a unique population of performers engaging in highly demanding physical activities, yet they remain underrepresented in scientific research. This paper aims to address this gap by exploring the challenges and making recommendations in applying biomechanics and exercise physiology instruments to understand circus athlete movements. Laboratory-based tools such as motion capture technology, force platforms, and metabolic carts offer valuable insights into movement patterns and physiological responses. The growth of wearable technology, including smart garments, inertial measurement units, and Global Positioning System (GPS) devices, has led to opportunities to gather data to quantify the dynamic movements characteristic of circus acts. This paper discusses the capabilities of these devices, emphasizing the importance of selecting appropriate technology tailored to the specific demands of circus performances. By understanding the biomechanics and physiological demands of various circus movements, researchers can develop targeted training and injury prevention programs, ultimately supporting the health and performance of circus athletes. This paper underscores the need for comprehensive, evidence-based strategies to ensure the well-being and success of these extraordinary performers.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2025-04-04
DOI
https://doi.org/10.3390/app15073981
Primary Topic
Sport Psychology and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advancing Circus Biomechanics and Physiology Research with Wearable Technology: Challenges and Recommendations

Alina P. Swafford, Scott McDonald, John A. Mercer, Nathaniel Hollister
Applied Sciences
Sport Psychology and Performance
article

Advancing Circus Biomechanics and Physiology Research with Wearable Technology: Challenges and Recommendations

Alina P. Swafford, Scott McDonald, John A. Mercer, Nathaniel Hollister
article en

Abstract

Circus athletes represent a unique population of performers engaging in highly demanding physical activities, yet they remain underrepresented in scientific research. This paper aims to address this gap by exploring the challenges and making recommendations in applying biomechanics and exercise physiology instruments to understand circus athlete movements. Laboratory-based tools such as motion capture technology, force platforms, and metabolic carts offer valuable insights into movement patterns and physiological responses. The growth of wearable technology, including smart garments, inertial measurement units, and Global Positioning System (GPS) devices, has led to opportunities to gather data to quantify the dynamic movements characteristic of circus acts. This paper discusses the capabilities of these devices, emphasizing the importance of selecting appropriate technology tailored to the specific demands of circus performances. By understanding the biomechanics and physiological demands of various circus movements, researchers can develop targeted training and injury prevention programs, ultimately supporting the health and performance of circus athletes. This paper underscores the need for comprehensive, evidence-based strategies to ensure the well-being and success of these extraordinary performers.

Applied SciencesVol. 15(7)
University of Nevada, Las Vegas (US)
Openalex Percentile: Top 94%
Sport Psychology and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.