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Motion Analysis Technologies for ACL Injury Prevention: From Laboratory Assessment to Field-Based Clinical Screening.

Abdulmajeed Alfayyadh1

  • 1Department of Physical Therapy and Health Rehabilitation, College of Applied Medical Sciences, Jouf University, Sakaka 72388, Saudi Arabia.

Journal of Clinical Medicine
|June 26, 2026
PubMed
Summary

Preventing anterior cruciate ligament (ACL) injuries in athletes is crucial. New drone-based motion analysis offers accessible, field-based screening to identify at-risk individuals and implement effective neuromuscular training.

Keywords:
ACL injury preventionbiomechanical screeningdrone systemsfield-based assessmentmachine learningmarker-less pose estimationmotion capturereturn-to-sportwearable sensors

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Area of Science:

  • Sports Medicine
  • Biomechanics
  • Injury Prevention

Background:

  • Anterior cruciate ligament (ACL) injuries are common in athletes, often caused by non-contact mechanisms linked to specific biomechanical risk factors.
  • Current neuromuscular training can reduce ACL injury risk by 50-70%, but its implementation is hindered by challenges in identifying at-risk individuals via accessible field screening.

Purpose of the Study:

  • To review motion analysis technologies for identifying biomechanical risk factors associated with ACL injuries.
  • To present a framework for accessible, field-based screening and assessment of ACL injury risk in athletes.

Main Methods:

  • A narrative review of motion analysis technologies, including laboratory systems, wearable inertial measurement units (IMUs), computer vision, and force plates.
  • Description of a three-tier clinical screening framework, progressing from basic analysis to multi-modal biomechanical assessment.
  • Illustrative example of an integrated drone-based motion capture and smart insole system for field assessment.

Main Results:

  • Motion analysis technologies offer potential for identifying biomechanical risk factors in ecologically valid settings.
  • A tiered screening framework can bridge the gap between laboratory research and practical field application.
  • Emerging technologies like drone-based systems can provide laboratory-quality biomechanical data in the field.

Conclusions:

  • Accessible field-based screening using advanced motion analysis technologies is essential for effective ACL injury prevention.
  • Integrating cost-effective and clinically useful technologies can improve the implementation of neuromuscular training programs.
  • Future efforts should focus on translating laboratory findings into practical, real-world applications for diverse sporting environments.