4.6 Article

Optical-Based Foot Plantar Pressure Measurement System for Potential Application in Human Postural Control Measurement and Person Identification

Journal

SENSORS
Volume 21, Issue 13, Pages -

Publisher

MDPI
DOI: 10.3390/s21134437

Keywords

human postural balance; gait analysis; biometrics; foot pressure

Funding

  1. King Mongkut's Institute of Technology Ladkrabang Research Fund [2563-02-01-025]

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This research proposes an optical-based foot plantar pressure measurement system for personal identification and postural control. The system generates color-coded plantar pressure images of the subject standing on the platform by extracting features from the images. Experimental results show promising outcomes in both posture balance evaluation and person identification.
Plantar pressure, the pressure exerted between the sole and the supporting surface, has great potentialities in various research fields, including footwear design, biometrics, gait analysis and the assessment of patients with diabetes. This research designs an optical-based foot plantar pressure measurement system aimed for human postural control and person identification. The proposed system consists of digital cameras installed underneath an acrylic plate covered by glossy white paper and mounted with LED strips along the side of the plate. When the light is emitted from the LED stripes, it deflects the digital cameras due to the pressure exerted between the glossy white paper and the acrylic plate. In this way, the cameras generate color-coded plantar pressure images of the subject standing on the acrylic-top platform. Our proposed system performs personal identification and postural control by extracting static and dynamic features from the generated plantar pressure images. Plantar pressure images were collected from 90 individuals (40 males, 50 females) to develop and evaluate the proposed system. In posture balance evaluation, we propose the use of a posture balance index that contains both magnitude and directional information about human posture balance control. For person identification, the experimental results show that our proposed system can achieve promising results, showing an area under the receiver operating characteristic (ROC) curve of 0.98515 (98.515%), an equal error rate (EER) of 5.8687%, and efficiency of 98.515%.

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