Pickleball Injury & Swing Analysis using Motion Capture and Simulation

Lead Author Affiliation

Computer Engineering and Mechanical Engineering

Lead Author Status

Undergraduate - Senior

Faculty Mentor Name

mkhazaeli@PACIFIC.EDU

Research or Creativity Area

Business

Abstract

  • Problem: Shoulder and wrist injuries are increasing among pickleball players due to repetitive swing mechanics.
  • Background: Existing biomechanics research focuses on tennis; pickleball’s unique paddle and court dynamics require dedicated analysis to inform prevention strategies.
  • Methods: Using a Vicon motion-capture system (200 Hz) and MATLAB processing, we recorded forehand, backhand, and dink swing kinematics in 15 recreational players. We extracted joint angles, angular velocities, and impact-phase wrist positions to identify high-risk motion patterns.
  • Status/Findings-to-Date: Data collection and analysis are complete. Preliminary identification of key risk factors—such as excessive wrist extension at impact—has guided the design of targeted corrective drills.
  • Next Steps: Implement and evaluate corrective swing-mechanics drills in a four-week pilot, measuring kinematic changes and self-reported discomfort.

Location

Room 211A, University of the Pacific, DeRosa University Center

Start Date

26-4-2025 12:00 PM

End Date

26-4-2025 12:15 PM

This document is currently not available here.

Share

COinS
 
Apr 26th, 12:00 PM Apr 26th, 12:15 PM

Pickleball Injury & Swing Analysis using Motion Capture and Simulation

Room 211A, University of the Pacific, DeRosa University Center

  • Problem: Shoulder and wrist injuries are increasing among pickleball players due to repetitive swing mechanics.
  • Background: Existing biomechanics research focuses on tennis; pickleball’s unique paddle and court dynamics require dedicated analysis to inform prevention strategies.
  • Methods: Using a Vicon motion-capture system (200 Hz) and MATLAB processing, we recorded forehand, backhand, and dink swing kinematics in 15 recreational players. We extracted joint angles, angular velocities, and impact-phase wrist positions to identify high-risk motion patterns.
  • Status/Findings-to-Date: Data collection and analysis are complete. Preliminary identification of key risk factors—such as excessive wrist extension at impact—has guided the design of targeted corrective drills.
  • Next Steps: Implement and evaluate corrective swing-mechanics drills in a four-week pilot, measuring kinematic changes and self-reported discomfort.