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Related Experiment Video

Updated: Jun 8, 2025

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A Non-Contacted Height Measurement Method in Two-Dimensional Space.

Phu Nguyen Trung1, Nghien Ba Nguyen1, Kien Nguyen Phan2

  • 1Faculty of Information Technology, Hanoi University of Industry, No. 298 Cau Dien, Bac Tu Liem, Hanoi 143510, Vietnam.

Sensors (Basel, Switzerland)
|November 9, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a novel non-contact method for measuring human height using computer vision and smartphone images. The technique accurately determines height across various postures with minimal error, advancing body measurement technology.

Keywords:
MediaPipeheight measurementnon-contact

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Area of Science:

  • Biometrics
  • Computer Vision
  • Human Measurement

Background:

  • Height is a critical health metric used across healthcare, aesthetics, and sports.
  • Existing non-contact height measurement tools often require an upright posture, limiting their applicability.
  • Accurate height assessment in diverse body positions remains a challenge.

Purpose of the Study:

  • To develop and validate a non-contact method for measuring human height in 2D space across multiple postures.
  • To leverage computer vision techniques for accessible and flexible height assessment.
  • To establish a reliable measurement system with high accuracy.

Main Methods:

  • Utilized computer vision with the MediaPipe library for joint point identification and the YOLOv8 model for localization.
  • Trained a multivariate linear regression model using inter-joint distance ratios from smartphone images.
  • Collected data from 166 subjects in four postures: standing, rotated 45°, rotated 90°, and kneeling.

Main Results:

  • Achieved a minimal height measurement error margin of approximately 1.2%.
  • Demonstrated the feasibility of measuring height accurately across different body positions.
  • Validated the effectiveness of the computer vision approach for human height assessment.

Conclusions:

  • The proposed computer vision method offers a highly accurate and versatile solution for non-contact height measurement.
  • This approach overcomes the limitations of posture-specific measurement techniques.
  • Future work will expand posture compatibility and refine accuracy for varied capture conditions.