Simulating the shear force generation between the materials of socks and shoes! Machine learning uses SVM (Support Vector Machine).
I would like to introduce the "Estimation of Shear Force Using Piezo Wire Sensors" conducted at the Department of Mechanical Engineering, Tokyo Denki University. Using a force gauge, vertical loads were applied to stacked materials, and tensile tests were conducted using a motor under a total of 55 conditions, including 11 vertical load conditions and 5 motor voltage conditions. The estimation accuracy of shear force was 92.5% for sensors processed into a circular shape and 93.1% for sensors woven into fabric. 【Key Points】 ■ Estimation of shear force from vibration measurements using piezo wire sensors ■ Real-time three-dimensional visualization of shear force and vertical load inside shoes *For more details, please download the PDF or feel free to contact us.
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[Vibration Analysis] ■ Cut off vibrations that occur after shear force generation ■ Low-pass filter (1000Hz) ■ Discrete Fourier Transform → Calculation of power spectral density *For more details, please download the PDF or feel free to contact us.*
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【Expected Uses】 ■ Fitting evaluation for diabetic foot ulcer prevention shoes ■ Design of sports shoes and similar products ■ Measurement of shear force generated during the movement of humans and robots ■ Measurement of shear force generated by tools and machinery *For more details, please download the PDF or feel free to contact us.
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