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Related Experiment Video

Updated: Mar 12, 2026

An Inertial Measurement Unit Based Method to Estimate Hip and Knee Joint Kinematics in Team Sport Athletes on the Field
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Wearable IMU for Shoulder Injury Prevention in Overhead Sports.

Samir A Rawashdeh1, Derek A Rafeldt2, Timothy L Uhl3

  • 1Electrical and Computer Engineering, University of Michigan, Dearborn, MI 48128, USA. srawa@umich.edu.

Sensors (Basel, Switzerland)
|November 10, 2016
PubMed
Summary

This study uses wearable sensors to track upper arm movements, helping to prevent athletic injuries by detecting harmful gestures in real-time. The system counts specific motion gestures like baseball throws and volleyball serves for preventative feedback.

Keywords:
inertial measurement unitinjury preventionshoulderwearable technology

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Area of Science:

  • Biomechanics
  • Sports Medicine
  • Wearable Technology

Background:

  • Overuse injuries in athletics are a significant concern, particularly for overhead movements.
  • Traditional motion capture is limited to laboratory settings, hindering real-world injury prevention.
  • Body-worn inertial sensors offer a solution for motion analysis outside the lab.

Purpose of the Study:

  • To develop and validate a system for tracking and classifying shoulder motion gestures using inertial sensors.
  • To enable real-time, preventative feedback for athletes to reduce the risk of overuse injuries.
  • To accurately count specific high-risk motion gestures in athletic activities.

Main Methods:

  • An inertial measurement unit was attached to the upper arm to capture motion data.
  • A detection and classification approach was developed to identify and count specific gestures.
  • Data was collected from eleven subjects performing throws, serves, and other exercises to train and test the system.

Main Results:

  • The system demonstrated the ability to track and discriminate between shoulder motion gestures.
  • The approach was validated in a realistic scenario with a large null class of movements.
  • The methodology is suitable for counting occurrences of specific athletic gestures.

Conclusions:

  • Wearable inertial sensors can effectively monitor upper arm motion for injury prevention in sports.
  • Real-time gesture detection and classification provide a pathway for preventative feedback to athletes.
  • This technology has potential applications in sports like baseball and volleyball to mitigate overuse injuries.