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Updated: Oct 30, 2025

Experimental Methods to Study Human Postural Control
Published on: September 11, 2019
Optical-Based Foot Plantar Pressure Measurement System for Potential Application in Human Postural Control
Tanapon Keatsamarn1, Sarinporn Visitsattapongse1, Hisayuki Aoyama2
1King Mongkut's Institute of Technology Ladkrabang, School of Engineering, Bangkok 10520, Thailand.
This study introduces an optical system for measuring plantar pressure, enabling accurate human postural control and person identification. The system generates color-coded foot pressure images for advanced biometric and balance analysis.
Area of Science:
- Biomedical Engineering
- Computer Vision
- Human Biomechanics
Background:
- Plantar pressure analysis is crucial for footwear design, biometrics, gait analysis, and diabetes assessment.
- Existing methods may have limitations in capturing dynamic and static pressure distributions.
- Accurate measurement of foot pressure is essential for understanding human posture and identification.
Purpose of the Study:
- To design and evaluate an optical-based system for measuring foot plantar pressure.
- To utilize plantar pressure images for human postural control assessment.
- To enable person identification using extracted static and dynamic features from plantar pressure images.
Main Methods:
- An optical system using digital cameras, an acrylic plate, glossy paper, and LED strips was developed.
- The system captures light deflection caused by plantar pressure to generate color-coded pressure images.
- Static and dynamic features were extracted from these images for analysis and identification.
Main Results:
- The system successfully generated color-coded plantar pressure images.
- A novel posture balance index incorporating magnitude and directional information was proposed.
- For person identification, the system achieved high accuracy with an Area Under the Curve (ROC) of 98.515% and an Equal Error Rate (EER) of 5.8687%.
Conclusions:
- The proposed optical-based plantar pressure measurement system is effective for both postural control evaluation and person identification.
- The system demonstrates high efficiency and accuracy, offering a promising solution for biometric and biomechanical applications.
- Further research can explore its application in clinical settings and advanced gait analysis.
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