Next Article in Journal
An Investigation of the Accuracy of EC5 and 5TE Capacitance Sensors for Soil Moisture Monitoring in Urban Soils-Laboratory and Field Calibration
Next Article in Special Issue
Can Machine Learning with IMUs Be Used to Detect Different Throws and Estimate Ball Velocity in Team Handball?
Previous Article in Journal
Optimal Frontier-Based Autonomous Exploration in Unconstructed Environment Using RGB-D Sensor
Previous Article in Special Issue
Fusing Accelerometry with Videography to Monitor the Effect of Fatigue on Punching Performance in Elite Boxers
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Tracking Quantitative Characteristics of Cutting Maneuvers with Wearable Movement Sensors during Competitive Women’s Ultimate Frisbee Games

by
Paul R. Slaughter
1,* and
Peter G. Adamczyk
1,2
1
Department of Mechanical Engineering, University of Wisconsin, Madison, WI 53706, USA
2
Department of Biomedical Engineering, University of Wisconsin, Madison, WI 53706, USA
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(22), 6508; https://doi.org/10.3390/s20226508
Submission received: 16 October 2020 / Revised: 5 November 2020 / Accepted: 11 November 2020 / Published: 14 November 2020
(This article belongs to the Special Issue Sensors in Sports Biomechanics)

Abstract

(1) Ultimate frisbee involves frequent cutting motions, which have a high risk of anterior cruciate ligament (ACL) injury, especially for female players. This study investigated the in-game cutting maneuvers performed by female ultimate frisbee athletes to understand the movements that could put them at risk of ACL injury. (2) Lower-body kinematics and movement around the field were reconstructed from wearable lower-body inertial sensors worn by 12 female players during 16 league-sanctioned ultimate frisbee games. (3) 422 cuts were identified from speed and direction change criteria. The mean cut had approach speed of 3.4 m/s, approach acceleration of 3.1 m/s2, cut angle of 94 degrees, and ground-contact knee flexion of 34 degrees. Shallow cuts from 30 to 90 degrees were most common. Speed and acceleration did not change based on cut angle. Players on more competitive teams had higher speed and acceleration and reduced knee flexion during cutting. (4) This study demonstrates that a lower-body set of wearable inertial sensors can successfully track an athlete’s motion during real games, producing detailed biomechanical metrics of behavior and performance. These in-game measurements can be used to specify controlled cutting movements in future laboratory studies. These studies should prioritize higher-level players since they may exhibit higher-risk cutting behavior.
Keywords: inertial sensors; wearable technology; cutting; biomechanics; ACL injury; sports science inertial sensors; wearable technology; cutting; biomechanics; ACL injury; sports science
Graphical Abstract

Share and Cite

MDPI and ACS Style

Slaughter, P.R.; Adamczyk, P.G. Tracking Quantitative Characteristics of Cutting Maneuvers with Wearable Movement Sensors during Competitive Women’s Ultimate Frisbee Games. Sensors 2020, 20, 6508. https://doi.org/10.3390/s20226508

AMA Style

Slaughter PR, Adamczyk PG. Tracking Quantitative Characteristics of Cutting Maneuvers with Wearable Movement Sensors during Competitive Women’s Ultimate Frisbee Games. Sensors. 2020; 20(22):6508. https://doi.org/10.3390/s20226508

Chicago/Turabian Style

Slaughter, Paul R., and Peter G. Adamczyk. 2020. "Tracking Quantitative Characteristics of Cutting Maneuvers with Wearable Movement Sensors during Competitive Women’s Ultimate Frisbee Games" Sensors 20, no. 22: 6508. https://doi.org/10.3390/s20226508

APA Style

Slaughter, P. R., & Adamczyk, P. G. (2020). Tracking Quantitative Characteristics of Cutting Maneuvers with Wearable Movement Sensors during Competitive Women’s Ultimate Frisbee Games. Sensors, 20(22), 6508. https://doi.org/10.3390/s20226508

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop