Abstract
Background: The need for shoes with non-standard sizes is increasing, but this is not followed by the competence to measure the foot effectively. The high cost of such an instrument in the market has led to the development of a precise yet affordable measurement system.Objective: This research attempts to solve the measuring problem by employing an automatic instrument utilizing a depth image sensor that is available on the market at an affordable price.Methods: Data from several Realsense sensors that have been preprocessed are combined using transformation techniques and noise cleaning is performed afterward. Finally the 3D model of the foot is ready and hence the length and width can be obtained.Results: The experimental results show that the proposed method produces a measurement error of 0.351 cm in foot length, and 0.355 cm in foot width.Conclusion: The result shows that multiple angles of a static Realsense sensor can produce a good 3D foot model automatically. This proposed system configuration can reduce complexity as well as being an affordable solution.
Highlights
There are varieties of shoes in the market
The cleaning process is done because the data obtained from the Realsense sensor does contains part of the foot, and surrounding noises
The proposed automatic foot measurement system consists of more economical components and simpler configuration has been proven capable of reconstructing a foot 3D model with data from various angles
Summary
There are varieties of shoes in the market. From flat shoes to killer heels, there are many options that people can choose based on their needs or merely personal preferences. Sometimes people can't fit properly in his shoes because his feet shape is different than the majority [2]. In this case they need a customized shoe where the size, shape, and even the material can be configured to the smallest detail according to one's need. Conclusion: The result shows that multiple angles of a static Realsense sensor can produce a good 3D foot model automatically. This proposed system configuration can reduce complexity as well as being an affordable solution
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