Patent Application
20200037709
The present disclosure generally relates to foot measuring devices, IPC A61B5/1074 Foot measuring devices, A43D1/025 Foot or last measuring devices.
This section provides background information, which is not necessarily prior art.
The traditional footwear industry and sales relies on the assumption that a shoe of particular length should fit a foot of a corresponding length. Therefore, shoes are traditionally manufactured in sizes with a particular step (6.67 mm in EU sizing, 8.4 mm for UK sizing, etc.).
It is also assumed that tolerances within manufacturing should not result in a considerable shoe length dispersion within a selected size. On the other hand, people with particular foot length (measured in mm) are assumed to select a particular size. However, it can be proved that both above assumptions are false to a large extent. Invalidity of these assumptions may have severe negative consequences in some businesses, such as internet shoe sales, where the end consumer does not have a chance of trying the individual sizes prior to purchase.
For proper fit, the accurate measurement of both shoes and feet is necessary. It has been proved, that although important, the length is not the only relevant characteristics of shoe and the foot. For a foot measurement, the process has to be made fast, reliable, accurate, easy to use and cheap. There are number of devices for foot measurement already available, based on various working principles. For example, these principles are:
Manual driven mechanical devices, originating from “Brannock” device, which usually have a static heel barrier, and a manual driven slider, which slides along measurement tape. The slider is pushed with a low force against human foot. Variants of this device can measure also width of the foot and sometimes the ball length.
Automated mechanical device, where pushing of sliders is implemented by means of electrical or pneumatic or other energy source, and stopping of a slider is implemented either by sensing the pressure against the foot or optically.
Laser based measurement devices, which use various laser projectors, which emit a particular light pattern, typically a line, and a camera, which records the emitted light. By knowing the position of both projector and a camera, it is possible to reconstruct the depth information and 3D coordinates of laser-illuminated area.
Ordinary light in combination with highly patterned socks. The images of deformed sock patterns can be analyzed to arrive at depth information.
In past years' new affordable optical sensors have been developed, which contain both a light pattern emitter and the camera on the same printed circuit board (PCB). The emitter emits several different light patterns with a high frequency, whereas the camera captures these patterns. Vendor supplied software is able to reconstruct the “depth” of each pixel, hence the name “depth sensor” or “depth camera”. Usually the applied light frequency is from infra-red spectrum, and the detection distance range can vary from 18 cm to several meters. Examples of these sensors are Intel-RealSense, Occiptal-Structure, Microsoft-Kinect, Asus Xtion, etc.
Pressure plates have been in use for several years by podiatrists, clinical examination, sport shoe sales and biometric researchers. They can provide information on walking irregularities, pronation and supination, etc. Vendors supply pressure plates with analysis software with various utility analysis, such as calculation of pressure line, maximum value tracking, pressure versus time, etc.
Various applications require reliable and accurate foot scanners. For example, podiatrists measure humans feet to design and eventually manufacture custom made insoles, which fit a particular individual. Another example is application in running sport, where it is important that a particular shoe type is properly selected with respect to human feet shape, especially with respect to arch height. And an example of usage is in the shoe retail, where it is important to select a proper size of the shoe with respect to particular foot of the individual.
Every particular application may have different expectations from a foot scanner. It is assumed to be reliable, accurate, and preferably cheap. However, these requirements may not all be fulfilled to the very high level.
The present invention claims a solution, which can offer reliable, accurate and low cost foot scanner for various fields of application, not limiting themselves to the ones presented above.
The drawings described herein are for illustrative purposes only of selected embodiments and are not intended to limit the scope of the present disclosure.
Preferred embodiments of the invention are disclosed here, however, these embodiments are merely examples of the invention, which may be embodied in various forms.
The design and functions disclosed should not be interpreted as limiting, but as a representative to employ invention in any appropriately detailed system.
The process begins by end consumer taking off his shoes, rolling up his pants and stepping inside measurement area. Process continues by triggering the measurement on the processing and controlling device (PC). This starts measurement with depth sensors.
Depth sensors contain infra-red light pattern emitter, which drops several different light patterns with a high frequency onto the foot surface.
The emitted light is capture by a camera on the depth sensor. This results in a raster image of n×M pixels. The software provided by depth sensor vendor is capable of calculating the depth of each pixel by using triangulation method.
Each pixel with depth coordinate can be considered as a point in space. Points coming from a single sensor are called point clouds. Since sensors may pick up some noise, the point clouds have to be filtered by special software to eliminate as much noise as possible. Potential multiple point clouds coming from potential multiple sensors are combined to cover as much of foot surface as possible. To reduce the time for scanning, it is best to cover as much as possible of both feet surfaces in a single measurement. To be able to combine point clouds from multiple depth sensors, a transformation matrix has to be computed for each sensor. This can be achieved in multiple ways, for example by putting a rigid body of simple shape, which has a known geometry.
A point cloud may already suffice for certain applications, for example to extract some simple linear dimensions, such as length and width of the foot. If the surface coverage is good enough, it may be possible to extract partial or full silhouettes, for example side silhouette and top silhouette.
Point cloud may further be processed to create a triangulated surface. The advantages of such data form are easy and fast display of surface, ease of extraction of girths, less needed storage, etc.
The foot surface and extracted relevant dimensions are shown via graphical user interface to both end consumer or sales assistant. Data may also be stored in a central database for further usage.
A complementary data can be received from a pressure plate sensor, which acquires pressure distribution between feet and the floor. A measurement apparatus can be formed, for example as depicted in
| Filing Document | Filing Date | Country | Kind |
|---|---|---|---|
| PCT/IB2016/055961 | 10/5/2016 | WO | 00 |
