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Classification of Plank Techniques Using Wearable Sensors.

Zong-Rong Chen1, Wei-Chi Tsai2,3, Shih-Feng Huang4

  • 1Department of Athletic Performance, National University of Kaohsiung, Kaohsiung 811, Taiwan.

Sensors (Basel, Switzerland)
|June 24, 2022
PubMed
Summary

A wearable sensor system accurately distinguishes correct plank form from improper techniques. This technology can improve exercise performance and prevent injuries by monitoring core stability movements.

Keywords:
athletecoachingcore trainingkinematicsmotion analysissports performance

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Area of Science:

  • Biomechanics
  • Wearable technology
  • Exercise physiology

Background:

  • The plank is a fundamental core-stability exercise.
  • Accurate plank technique is crucial for maximizing benefits and preventing injuries.
  • Objective methods for assessing plank technique are needed.

Purpose of the Study:

  • To develop and validate an inertial measurement unit (IMU)-based system for quantifying plank technique.
  • To distinguish between acceptable and aberrant plank forms using wearable sensors.

Main Methods:

  • Nineteen healthy participants performed standard planks and six deviations.
  • Five IMUs were placed on the occiput, cervical spine, thoracic spine, sacrum, and right radius.
  • A random forest classification model analyzed sensor data.

Main Results:

  • The classification system achieved over 86% accuracy.
  • Average sensitivity exceeded 90%, and specificity was above 91% for most deviations.
  • The system effectively differentiated between correct and incorrect plank techniques.

Conclusions:

  • The IMU-based system reliably quantifies plank technique.
  • This technology offers a viable tool for monitoring exercise biomechanics.
  • It has potential applications in real-time coaching and injury prevention.