Shoe fitting customization method and system based on multi-dimensional foot feature detection

Abstract

The invention belongs to the technical field of shoe customization, and particularly discloses a shoe adaptation customization method and system based on multi-dimensional foot feature detection, and the system comprises a multi-dimensional foot feature detection system, a balance and gait function evaluation system, a scoring system and a screening and matching system. The multi-dimensional foot feature detection system and the balance and gait function evaluation system send detected data to the scoring system for typing and scoring; the scoring system sends a scoring result to the screening and matching system, and the screening and matching system carries out screening and matching on the outsole and the insole according to the scoring result. According to the technical scheme, joint analysis of the foot form and the functional parameters can be achieved, and comprehensiveness of foot biomechanical evaluation is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of shoe customization, and particularly relates to a shoe fitting and customization method and system based on multi-dimensional foot feature detection. Background Art

[0002] People walk about 8,000 steps on average every day. Research shows that in one walking cycle, the weight borne by a single foot is 2 to 3 times the body weight. Based on this calculation, the daily load on the feet can reach more than 600 tons. This mechanical stress is transmitted upward through the kinetic chain composed of the ankle-knee-hip joints, and finally the spine completes the mechanical distribution. A pair of suitable shoes can not only make walking comfortable but also reduce the load on the feet. Therefore, it is crucial to choose a pair of shoes that fit oneself. However, currently, most people often only focus on the appearance and / or price of shoes when buying shoes, and choose the one that feels the most comfortable through trying them on, but ignore the consideration of factors such as foot type and arch flexibility. This may lead to improper shoe selection, which in turn may cause or exacerbate foot problems, and even increase the risk of osteoarticular diseases such as ankle, knee, and hip. Therefore, how to help consumers better understand their foot types and gaits and choose more suitable shoes is also a topic that the relevant industry is concerned about.

[0003] The general population generally lacks scientific understanding of their own foot morphological characteristics (such as arch type, flexibility, etc.). The current gold standard method for clinical foot assessment - X-ray imaging examination - is difficult to apply to the daily shoe fitting scenario due to its radiation exposure risk and operation complexity. Although there are foot scanning devices on the market, their detection indicators are mostly limited to two-dimensional geometric parameters such as foot length, foot width, and arch index, and there is still a lack of systematic quantitative analysis of three-dimensional morphological characteristics of the foot (including arch height, arch volume, etc.) and biomechanical characteristics (such as dynamic plantar pressure distribution, gait pattern). Therefore, the existing shoe selection methods cannot comprehensively reflect three-dimensional morphological characteristics such as arch height and arch volume, and are even less able to perform personalized matching according to an individual's foot type, the softness of the arch, the dynamic pressure distribution during walking, and gait characteristics. Summary of the Invention

[0004] The purpose of the present invention is to provide a shoe fitting and customization method and system based on multi-dimensional foot feature detection, so as to realize the joint analysis of foot morphological (arch volume, arch index, arch apex height, progression angle, valgus angle) and functional (pressure distribution, flexibility) parameters, and improve the comprehensiveness of foot biomechanical assessment.

[0005] In order to achieve the above purpose, one technical solution of the present invention is as follows: A shoe fitting and customization system based on multi-dimensional foot feature detection, including a multi-dimensional foot feature detection system, a balance and gait function evaluation system, a scoring system, and a screening and matching system. The multi-dimensional foot feature detection system includes a scanning module and a data processing and recognition module. The scanning module is used to scan the three-dimensional model of the feet of the tester in the sitting and standing postures and send the scanning results to the data processing and recognition module. The data processing and recognition module processes the received scanning results and obtains foot feature indicators. The balance and gait function evaluation system includes a gait detection module, a pressure distribution test module, a data acquisition module, and a plantar pressure evaluation module. The sole of the foot is divided into nine areas, including the toe area, the medial pressure of the forefoot, the middle pressure of the forefoot, the lateral pressure of the forefoot, the medial pressure of the midfoot, the lateral pressure of the midfoot, the medial pressure of the hindfoot, the middle pressure of the hindfoot, and the lateral pressure of the hindfoot. The pressure distribution test module is used to test the pressure in the nine areas of the sole during walking and send the pressure data to the data acquisition module. The data acquisition module receives and converts the pressure data and sends the converted data to the plantar pressure evaluation module. The plantar pressure evaluation module is used to evaluate the converted pressure data. The gait detection module is used to detect the gait data of the feet during walking, and the gait data includes the forward angle and the valgus angle. The multi-dimensional foot feature detection system and the balance and gait function evaluation system send the detected data to the scoring system for classification and scoring. The scoring system sends the scoring results to the screening and matching system, and the screening and matching system screens and matches the shoe sole and the insole according to the scoring results.

[0006] Furthermore, the foot feature indicators include the arch volume and its change value, the height of the arch apex, the foot length, and the arch index. The change value of the arch volume is the arch volume in the sitting posture minus the arch volume in the standing posture.

[0007] In order to achieve the above object, another technical solution of the present invention is: A shoe fitting and customization method based on multi-dimensional foot feature detection, which is realized by using the above-mentioned shoe fitting and customization system based on multi-dimensional foot feature detection, including S1: Obtain foot data, including: Obtain the three-dimensional model of the feet: Obtain the three-dimensional models of the feet in the sitting and standing postures; Obtain foot feature indicators: Obtain foot feature indicators according to the three-dimensional model. The foot feature indicators include the arch volume and its change value, the height of the arch apex, the foot length, and the arch index. The change value of the arch volume is the arch volume in the sitting posture minus the arch volume in the standing posture; Obtain foot gait parameters: Obtain the forward angle and the valgus angle of the tester during walking. The forward angle is the angle between the long axis of the foot and the walking direction; the valgus angle is the valgus angle of the hindfoot during walking; Obtain the pressure values of the nine regions on the sole: Measure the pressure values of the nine regions during the walking process of the tester; S2: Foot classification and scoring, including Arch shape scoring: Overall scoring of the arch shape based on the arch index, foot length - arch volume, and arch apex height; Foot length - arch volume refers to the arch volume corresponding to each foot length; Rearfoot varus / valgus scoring: Scoring based on rearfoot varus and valgus; Arch flexibility scoring: Scoring of arch flexibility based on the change value of foot length - arch volume, where the change value of foot length - arch volume refers to the change value of arch volume corresponding to each foot length; Forefoot pressure classification: Classify the forefoot pressure according to the forefoot pressure ratio; Forefoot pressure ratio = forefoot medial pressure / lateral pressure; Rearfoot pressure classification: Classify the rearfoot pressure according to the rearfoot pressure ratio; Rearfoot pressure ratio = rearfoot medial pressure / posterior pressure; Gait scoring: Conduct forefoot angle scoring and valgus angle scoring for the angles of the forward angle and the valgus angle respectively; S3: Screen shoes and insoles according to foot classification and scoring; Determine the support requirements, cushioning requirements, wedge requirements of the insole, the support requirements of the shoe sole, the wedge requirements of the shoe sole, and the cushioning requirements of the shoe sole according to the arch shape scoring, rearfoot varus / valgus scoring, arch flexibility scoring, forefoot pressure classification, rearfoot pressure classification, forefoot angle scoring, and valgus angle scoring, and then select shoes and insoles according to the above requirements; Among them, the insole support requirements include standard support, medium support, and neutral support, which represent the height of the support part. The standard support is the strongest, and the neutral support is the lowest. The neutral support is the lowest support to prevent the arch from completely collapsing during gait; The standard support, medium support, and neutral support are specifically determined according to the foot length, and each foot length corresponds to the values of standard support, medium support, and neutral support; The cushioning requirements include cushioning requirements, medium cushioning requirements, and high cushioning requirements. The cushioning requirements represent the softness and hardness of the shoe sole and insole, and the high cushioning requirements are the softest; The shoe sole support requirements represent the softness and hardness of the shoe sole.

[0008] Furthermore, the support height of the standard support is 19 - 25 mm, the support height of the medium support is 16 - 18 mm, and the support height of the neutral support is 10 - 15 mm; The Shore hardness of the cushioning requirements is 41 - 50°, the Shore hardness of the medium cushioning requirements is 34 - 40°, and the Shore hardness of the high cushioning requirements is 20 - 30°; The Shore hardness of the shoe sole support requirements is not less than 40°.

[0009] Further, the height of the arch shape is divided into five levels: extremely low arch, low arch, normal arch, high arch, and extremely high arch. The corresponding scores for the five levels are 0 - a, a + 1 - b, b + 1 - c, c + 1 - d, and d + 1 - e respectively. When the score is 0 - a, the insole requires standard arch support; when the score is a + 1 - b, the insole requires moderate arch support; when the score is b + 1 - c, the insole has no arch support and cushioning requirements; when the score is c + 1 - d, the insole requires neutral arch support and cushioning requirements; when the score is d + 1 - e, the insole requires neutral arch support and high cushioning requirements.

[0010] Further, the score for rearfoot varus is f; when the angle of rearfoot valgus > θ, the score is g; when the rearfoot valgus angle ≤ θ, there is no score. When the score is f, lateral support on the outsole of the shoe is required; when the score is g, medial support on the outsole of the shoe is required.

[0011] Further, the arch flexibility is divided into five levels: extremely rigid type, rigid type, neutral type, soft type, and extremely soft type. The corresponding scores for the five levels are h, i, j, k, and l respectively. When the score is h, both the outsole and the insole require high cushioning requirements; when the score is i, both the outsole and the insole require medium cushioning requirements; when the score is j, neither the insole nor the outsole has cushioning requirements; when the scores are k and l, the outsole requires outsole support requirements.

[0012] Further, a forefoot pressure ratio > 1.2 indicates a forefoot valgus tendency; a forefoot pressure ratio < 0.6 indicates a forefoot varus tendency; when the forefoot pressure ratio is at the intermediate value, it indicates no tendency. When the forefoot pressure classification shows a forefoot valgus tendency, the insole wedge requirement is an insole forefoot valgus wedge; for the insoles of other classifications, no treatment is done.

[0013] Further, a rearfoot pressure ratio > 1.2 indicates a rearfoot valgus tendency; a forefoot pressure ratio < 0.8 indicates a rearfoot varus tendency; when the rearfoot pressure ratio is at the intermediate value, it indicates no tendency. When the rearfoot pressure classification shows a rearfoot valgus tendency, the insole wedge requirement is an insole rearfoot varus wedge; when the rearfoot pressure classification shows a rearfoot varus tendency, the insole wedge requirement is an insole rearfoot valgus wedge.

[0014] Further, when the advance angle ≤ -β, the score is m; when the advance angle > β, the score is n. When the advance angle score is m, select an insole forefoot valgus wedge; when the advance angle score is n, no treatment is done to the insole; When the valgus angle > γ, the score is p, and no score is given for the other angles. When the valgus angle score is p, the outsole wedge requirement is an outsole rearfoot varus wedge, and the insole support requirement is an insole standard arch support.

[0015] The beneficial effects of this technical solution are as follows: This technical solution can achieve the joint analysis of foot morphology (arch volume, arch index, fixed-point height of the arch, forward angle, valgus angle) and function (pressure distribution, flexibility) parameters, improving the comprehensiveness of foot biomechanical evaluation.

[0016] Based on the quantitative correlation between arch flexibility classification and gait valgus angle, dynamically adjust the hardness of the shoe material and the structural gradient (thickness of the arch area) to achieve dynamic balance between support and cushioning.

[0017] Through multi-dimensional scoring and matching of the foot, combined with parameters such as foot length and foot width, recommendations are made to make the recommendation matching degree greater than that of conventional shoe and insole combinations. Brief Description of the Drawings

[0018] Figure 1 It is a schematic diagram of the shoe fitting and customization system based on multi-dimensional foot feature detection of the present invention.

[0019] Figure 2 It is a flowchart of the shoe fitting and customization method based on multi-dimensional foot feature detection of the present invention. Detailed Description of the Invention

[0020] The following is a more detailed description through specific embodiments: The reference numerals in the accompanying drawings of the specification include:.

[0021] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention. Embodiment 1

[0022] As Figure 1As shown, a footwear adaptation customization system based on multi-dimensional foot feature detection includes a storage system 5, a multi-dimensional foot feature detection system 1, a balance and gait function evaluation system 2, a scoring system 3, and a screening and matching system 4. The multi-dimensional foot feature detection system 1 includes a scanning module and a data processing and recognition module. The scanning module is used to scan the three-dimensional models of the feet of the test subjects in the sitting and standing postures and send the scanning results to the data processing and recognition module. The data processing and recognition module processes the received scanning results and obtains foot feature indicators. The foot feature indicators include the arch volume and its change value, the height of the arch apex, the foot length, and the arch index. The arch volume change value refers to the arch volume in the sitting posture minus the arch volume in the standing posture. The balance and gait function evaluation system 2 includes a gait detection module, a pressure distribution test module, a data acquisition module, and a plantar pressure evaluation module. The sole of the foot is divided into nine zones, including the toe zone, the medial forefoot pressure, the middle forefoot pressure, the lateral forefoot pressure, the medial midfoot pressure, the lateral midfoot pressure, the medial hindfoot pressure, the middle hindfoot pressure, and the lateral hindfoot pressure. The pressure distribution test module is used to test the pressure in the nine zones of the sole of the foot during walking and send the pressure data to the data acquisition module. The data acquisition module receives and converts the pressure data and sends the converted data to the plantar pressure evaluation module. The pressure distribution test module uses a pressure test insole and test shoes composed of pressure sensors in the nine zones of the sole of the foot. The plantar pressure evaluation module is used to evaluate the converted pressure data. The gait detection module is used to detect the gait data of the feet during walking. The gait data includes the forward angle and the valgus angle. The multi-dimensional foot feature detection system 1 and the balance and gait function evaluation system 2 send the detected data to the scoring system 3 for classification and scoring. The scoring system 3 sends the scoring results to the screening and matching system 4, and the screening and matching system 4 screens and matches the shoe soles and insoles according to the scoring results. The storage system 5 is connected to the multi-dimensional foot feature detection system 1, the balance and gait function evaluation system 2, the scoring system 3, and the screening and matching system 4 for storing the data of each system. Each system is also equipped with a power module for power supply and a data communication module for data transmission and communication.

[0023] Requirements for scanning positions: When performing scanning detection, the scanning positions are divided into sitting and standing postures. During sitting posture scanning, the subject's torso is straight, the head is positioned according to the Frankfurt plane, the eyes are looking straight ahead, the hip joint is flexed 90 degrees, the knee joint is flexed 90 degrees, the popliteal fossa is flush with the edge of the chair, the ankle joint is in a neutral position, the left and right foot faces are facing directly forward, and the feet are flat on the ground. During standing posture scanning, the subject's body is straight, the head is positioned according to the Frankfurt plane, the eyes are looking straight ahead, the shoulders are relaxed, the upper limbs are hanging naturally, the hands are straight, the palms are facing inwards, the fingers are gently attached to the sides of the thighs, the left and right foot faces are facing directly forward, and the body weight is evenly distributed on both feet. Example Two

[0024] AsFigure 2 As shown in Figure 2 , the shoe fitting and customization method based on multi-dimensional foot feature detection is implemented using the shoe fitting and customization system based on multi-dimensional foot feature detection in Embodiment 1, and includes S1: Obtain foot data, including: S1.1: Obtain the three-dimensional foot model: Use the scanning module to obtain the three-dimensional models of the foot in the sitting and standing postures respectively; S1.2: Obtain foot feature indicators: The data processing and recognition module obtains foot feature indicators according to the three-dimensional model. The foot feature indicators include the arch volume and its change value, the height of the arch apex, the foot length, and the arch index; the arch volume change value refers to the arch volume in the sitting state minus the arch volume in the standing state. The data processing and recognition module has been pre-trained through deep learning; S1.3: Obtain foot gait parameters: The gait detection module obtains the forward angle and eversion angle of the tester during walking; the forward angle is the angle between the long axis of the foot and the walking direction; the eversion angle is the eversion angle of the hindfoot during walking; S1.4: Obtain the pressure values of the nine zones on the sole of the foot: The pressure distribution test module measures the pressure values of the nine zones of the tester during walking; the data acquisition module receives and converts the pressure data and sends the converted data to the sole pressure evaluation module; the sole pressure evaluation module is used to evaluate the converted pressure data.

[0025] S2: Foot classification and scoring. The scoring system 3 processes the detection data sent by the multi-dimensional foot feature detection system 1 and the balance and gait function evaluation system 2, and performs classification and scoring; including (1) Arch shape scoring: Overall scoring of the arch shape is performed according to the arch index, foot length-arch volume, and height of the arch apex; foot length-arch volume refers to how much arch volume corresponds to each foot length; the height of the arch shape is divided into five levels: extremely low arch, low arch, normal arch, high arch, extremely high arch, and the corresponding scores for the five levels are 0-a, a + 1-b, b + 1-c, c + 1-d, d + 1-e respectively; specifically, extremely low arch (0-5 points), low arch (6-20 points), normal arch (21-35 points), high arch (36-50 points), extremely high arch (51-60 points); The scoring tables for the three indicators of arch index, foot length-arch volume, and height of the arch apex are as follows: Index ① Arch index Index ① Score Index ② Foot length - arch volume Index ② Score Index ③ Arch vertex height Index ③ Score ≥P95 0 ≤P5 0 ≤P5 0 P75 - P95 5 P5 - P25 5 P5 - P25 5 P25 - P75 10 P25 - P75 10 P25 - P75 10 P5 - P25 15 P75 - P95 15 P75 - P95 15 ≤P5 20 ≥P95 20 ≥P95 20 The above data is sorted based on the models of 50,000 feet; arch index ≥ P95 means that the detected value of the arch index is larger than the value of the 95th percentile of these 50,000 feet, that is, the score of the arch index is 0; P75-P95 means that when the detected value of the arch index is between P75-P95, that is, the score of the arch index is 5; and so on; For the column of foot length - arch volume, ≤ P25 means that when the detected value of foot length - arch volume is smaller than the value of P5, i.e., the score of foot length - arch volume is 0; and so on; For the column of arch apex height, ≤ P25 means that when the detected value of arch apex height is smaller than the value of P5, i.e., the score of arch apex height is 0; and so on; Scoring example: If a person's arch index ≥ P95 (score is 0) after detection, foot length - arch volume ≤ P5 (score is 0), arch apex height P5 - P25 (score is 5), the total score is 5 points, and the arch shape is judged to be extremely low arch; (2) Hindfoot varus / valgus scoring: Scoring is based on hindfoot varus and valgus; the score for hindfoot varus is f (f is 0 in this embodiment); when the angle of hindfoot valgus > θ (θ is 7° in this embodiment), the score is g (5 - 10 points in this embodiment); when the hindfoot valgus angle ≤ θ, there is no score. The larger the valgus angle, the higher the score. Specifically, the valgus angle of 7 - 10° is 5 points; the valgus angle of 11 - 12° is 6 points; the valgus angle of 13 - 15° is 7 points; the valgus angle of 16 - 18° is 8 points; the valgus angle of 19 - 20° is 9 points; the valgus angle > 20° is 10 points; (3) Arch flexibility scoring: Arch flexibility scoring is based on the change value of foot length - arch volume. The change value of foot length - arch volume refers to the change value of arch volume corresponding to each foot length; Arch flexibility is divided into five levels: extremely rigid type, rigid type, neutral type, soft type, extremely soft type, and the scores corresponding to the five levels are h, i, j, k, l respectively. In this embodiment, extremely rigid type (≤ P5 = 0 points), rigid type (P5 - P25 = 5 points), neutral type (P25 - P75 = 10 points), soft type (P75 - P95 = 15 points), extremely soft type (≥ P95 = 20 points); ≤ P5 means that the change value of foot length - arch volume is smaller than the value of P25, and the score is 0, and so on; (4) Forefoot pressure classification: Forefoot pressure is classified according to the forefoot pressure ratio; forefoot pressure ratio = forefoot medial pressure / lateral pressure; forefoot pressure ratio > 1.2 indicates a forefoot valgus tendency; forefoot pressure ratio < 0.6 indicates a forefoot varus tendency; when the forefoot pressure ratio is at the intermediate value, it indicates no tendency; (5) Hindfoot pressure classification: Hindfoot pressure is classified according to the hindfoot pressure ratio; hindfoot pressure ratio = hindfoot medial pressure / posterior pressure; hindfoot pressure ratio > 1.2 indicates a hindfoot valgus tendency; forefoot pressure ratio < 0.8 indicates a hindfoot varus tendency; when the hindfoot pressure ratio is at the intermediate value, it indicates no tendency; (6)Gait score: The forward angle score and valgus angle score are respectively given to the angle of the forward angle and the angle of the valgus angle; when the forward angle ≤ -β (-3° in this embodiment), the score is m (-5 to 0 points in this embodiment), and when the forward angle > β (3° in this embodiment), the score is n (5 points in this embodiment); when the valgus angle > γ (7° in this embodiment), the score is p (0 points in this embodiment), and no score is given for other angles.

[0026] S3: Screen shoes and insoles according to foot type and score; the screening and matching system determines the support requirement, buffering requirement, wedge requirement of the insole, the support requirement of the shoe sole, the wedge requirement of the shoe sole, and the buffering requirement of the shoe sole according to the arch shape score, rear-foot varus / valgus score, arch flexibility score, forefoot pressure type, rear-foot pressure type, forward angle score, and valgus angle score, and then selects shoes and insoles according to the above requirements. Among them, the insole support requirement includes standard support, moderate support, and neutral support, which represent the height of the support part. The standard support is the strongest, and the neutral support is the lowest. The neutral support is the lowest support to prevent the arch from completely collapsing during gait; the standard support, moderate support, and neutral support are specifically determined according to the foot length, and each foot length corresponds to the values of the standard support, moderate support, and neutral support. In this embodiment, the support height of the standard support is 19 - 25 mm, the support height of the moderate support is 16 - 18 mm, and the support height of the neutral support is 10 - 15 mm. The buffering requirement includes buffering requirement, medium buffering requirement, and high buffering requirement. The buffering requirement represents the softness and hardness of the shoe sole and insole, and the high buffering requirement is the softest. In this embodiment, the Shore hardness of the buffering requirement is 41 - 50°, the Shore hardness of the medium buffering requirement is 34 - 40°, and the Shore hardness of the high buffering requirement is 20 - 30°. The shoe sole support requirement represents the softness and hardness of the shoe sole, and the support requirement of the shoe sole indicates that the Shore hardness of the shoe sole is not less than 40°, and the best is 40 - 55°.

[0027] Specifically: (1)Arch shape score: When the score is 0 - 5, the insole requires standard arch support; When the score is 6 - 20, the insole requires moderate arch support; When the score is 21 - 35, the insole has no arch support and buffering requirements; When the score is 36 - 50, the insole requires neutral arch support and buffering requirements; When the score is 51 - 60, the insole requires neutral arch support and high buffering requirements; (2)Rear-foot varus / valgus score: When the score is 0, shoe sole lateral support is required; shoe sole lateral support means that the hardness of the outer side is higher than other areas; When the score is 5 - 10, medial support of the shoe outsole is required; medial support of the shoe outsole means that the hardness of the medial side is higher than that of other areas. (3)Arch flexibility score: When the score is 0, both the shoe outsole and the insole require high buffering requirements. When the score is 5, both the shoe outsole and the insole require medium buffering requirements. When the score is 10, neither the insole nor the shoe outsole has buffering requirements. When the score is 15, the shoe outsole requires shoe outsole support requirements. When the score is 20, the shoe outsole requires shoe outsole support requirements. (4)Forefoot pressure classification: When the forefoot pressure classification shows a tendency of forefoot valgus, the insole wedge requirement is the forefoot valgus wedge of the insole; the insoles of other classifications are not processed. (5)Rearfoot pressure classification: When the rearfoot pressure classification shows a tendency of rearfoot valgus, the insole wedge requirement is the rearfoot varus wedge of the insole; When the rearfoot pressure classification shows a tendency of rearfoot varus, the insole wedge requirement is the rearfoot valgus wedge of the insole. (6)Advance angle score: When the advance angle score ≤ 0, select the forefoot valgus wedge for the insole; When the advance angle score > 0, the insole is not processed. (7)Valgus angle score: When the valgus angle score is 0, the shoe outsole wedge requirement is the rearfoot varus wedge of the shoe outsole, and the insole support requirement is the standard insole arch support.

[0028] It should be noted that when there is a conflict between the screening results of other items and the screening results of the arch shape score, the screening results of the arch shape shall prevail.

[0029] The following uses several examples to illustrate: Screening example ①: After testing, the scores of a person are advance angle 5 points, arch shape score 12 points, rearfoot varus / valgus score 10 points, arch flexibility classification 15 points, forefoot pressure classification without tendency, rearfoot pressure classification valgus tendency, and gait valgus angle score equal to 0 points.

[0030] The matched shoe outsole design is: medial support of the shoe outsole + shoe outsole support requirements + rearfoot varus wedge. Insole: medium arch support + rearfoot varus wedge.

[0031] Screening example ②: After testing, the scores of a person are advance angle -2 points, arch shape score 15 points, rearfoot varus / valgus score 0 points, arch flexibility classification 5 points, forefoot pressure classification valgus tendency, rearfoot pressure classification varus tendency, and gait valgus angle score none.

[0032] The matching shoe sole is designed as follows: external support on the outer side of the shoe sole + medium buffering requirement. Insole: valgus wedge at the forefoot + medium support at the arch + medium buffering requirement + valgus wedge at the rear foot.

[0033] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprising", "including" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device.

[0034] The above are only embodiments of the present invention. Common knowledge such as specific structures and characteristics known to the public in the solution is not described in detail here. Those of ordinary skill in the art know all the common general technical knowledge in the technical field to which the invention pertains before the filing date or the priority date, can learn all the existing technologies in this field, and have the ability to apply the conventional experimental means before this date. Those of ordinary skill in the art can, under the inspiration given in this application, combine their own abilities to complete and implement this solution. Some typical well-known structures or well-known methods should not become an obstacle for those of ordinary skill in the art to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can still be made, and these should also be regarded as the protection scope of the present invention, and these will not affect the implementation effect of the present invention and the practicality of the patent. The protection scope required by this application should be based on the content of its claims, and the specific implementation manners described in the specification can be used to interpret the content of the claims.

Claims

1. A footwear adaptation and customization system based on multi-dimensional foot feature detection, characterized in that: It includes a multi-dimensional foot feature detection system, a balance and gait function evaluation system, a scoring system, and a screening and matching system. The multi-dimensional foot feature detection system includes a scanning module and a data processing and recognition module. The scanning module is used to scan the three-dimensional model of the feet of the tester in the sitting and standing postures and send the scanning results to the data processing and recognition module. The data processing and recognition module processes the received scanning results and obtains the foot feature indicators. The balance and gait function evaluation system includes a gait detection module, a pressure distribution test module, a data acquisition module, and a plantar pressure evaluation module. The sole is divided into nine zones, including the toe zone, the medial pressure of the forefoot, the middle pressure of the forefoot, the lateral pressure of the forefoot, the medial pressure of the midfoot, the lateral pressure of the midfoot, the medial pressure of the hindfoot, the middle pressure of the hindfoot, and the lateral pressure of the hindfoot. The pressure distribution test module is used to test the pressure of the nine zones of the sole during walking and send the pressure data to the data acquisition module. The data acquisition module receives and converts the pressure data and sends the converted data to the plantar pressure evaluation module. The plantar pressure evaluation module is used to evaluate the converted pressure data. The gait detection module is used to detect the gait data of the feet during walking, and the gait data includes the forward angle and the valgus angle. The multi-dimensional foot feature detection system and the balance and gait function evaluation system send the detected data to the scoring system for classification and scoring. The scoring system sends the scoring results to the screening and matching system, and the screening and matching system screens and matches the shoe outsole and insole according to the scoring results.

2. The shoe fitting customization system based on multi-dimensional foot feature detection according to claim 1, characterized in that: The foot feature indicators include the arch volume and its change value, the height of the arch apex, the foot length, and the arch index. The arch volume change value refers to the arch volume in the sitting posture minus the arch volume in the standing posture.

3. A shoe fitting and customization method based on multi-dimensional foot feature detection, which is implemented by using the shoe fitting and customization system based on multi-dimensional foot feature detection described in claim 2, characterized in that: Include S1: Obtain foot data, including: Obtain the three-dimensional model of the feet: Obtain the three-dimensional models of the feet in the sitting and standing postures. Obtain foot feature indicators: Obtain foot feature indicators according to the three-dimensional model. Obtain foot gait parameters: Obtain the forward angle and the valgus angle of the tester during walking. The forward angle is the angle between the long axis of the foot and the walking direction. The valgus angle is the valgus angle of the hindfoot during walking. Obtain the pressure values of the nine zones of the sole: Measure the pressure values of the nine zones of the sole of the tester during walking. S2: Foot classification and scoring, including Arch shape scoring: Overall score the arch shape according to the arch index, foot length - arch volume, and the height of the arch apex. Foot length - arch volume refers to how much the arch volume corresponds to each foot length. Rearfoot varus and valgus scoring: Score according to rearfoot varus and valgus. Arch flexibility scoring: Score the arch flexibility according to the foot length - arch volume change value. The foot length - arch volume change value refers to the arch volume change value corresponding to each foot length. Forefoot pressure classification: Classify the forefoot pressure according to the forefoot pressure ratio. Forefoot pressure ratio = medial pressure of the forefoot / lateral pressure of the forefoot. Hindfoot pressure classification: Classify the hindfoot pressure according to the hindfoot pressure ratio. Hindfoot pressure ratio = medial pressure of the hindfoot / posterior pressure of the hindfoot. Gait score: The forward angle score and valgus angle score are respectively performed on the angle of the forward angle and the angle of the valgus angle; S3: Screen shoes and insoles according to foot type and score; Determine the support requirement, cushioning requirement, wedge requirement, outsole support requirement, outsole wedge requirement, and outsole cushioning requirement of the insole according to the arch shape score, rearfoot varus / valgus score, arch flexibility score, forefoot pressure type, rearfoot pressure type, forward angle score, and valgus angle score, and then select shoes and insoles according to the above requirements; Among them, the insole support requirement includes standard support, moderate support, and neutral support, which represent the height of the supported part. The standard support is the strongest, and the neutral support is the lowest. The neutral support is the lowest support to prevent the arch from completely collapsing during gait; The above standard support, moderate support, and neutral support are specifically determined according to the foot length, and each foot length corresponds to the values of standard support, moderate support, and neutral support; The cushioning requirement includes cushioning requirement, medium cushioning requirement, and high cushioning requirement. The cushioning requirement represents the softness and hardness of the outsole and insole, and the high cushioning requirement is the softest; The outsole support requirement represents the softness and hardness of the outsole.

4. The method for shoe fitting customization based on multi-dimensional foot feature detection according to claim 3, characterized in that: The support height of the standard support is 19 - 25 mm, the support height of the moderate support is 16 - 18 mm, and the support height of the neutral support is 10 - 15 mm; The Shore hardness of the cushioning requirement is 41 - 50°, the Shore hardness of the medium cushioning requirement is 34 - 40°, and the Shore hardness of the high cushioning requirement is 20 - 30°; The Shore hardness of the outsole support requirement is not less than 40°.

5. The method for shoe fitting customization based on multi-dimensional foot feature detection according to claim 3, wherein: The height of the arch shape is divided into five levels: extremely low arch, low arch, normal arch, high arch, and extremely high arch. The corresponding scores for the five levels are 0 - a, a + 1 - b, b + 1 - c, c + 1 - d, d + 1 - e; When the score is 0 - a, the insole requires standard arch support; When the score is a + 1 - b, the insole requires moderate arch support; When the score is b + 1 - c, the insole has no arch support and cushioning requirement; When the score is c + 1 - d, the insole requires neutral arch support and cushioning requirement; When the score is d + 1 - e, the insole requires neutral arch support and high cushioning requirement.

6. The method for shoe fitting customization based on multi-dimensional foot feature detection according to claim 3, wherein: The score for rearfoot varus is f; When the angle of rearfoot valgus > θ, the score is g; When the rearfoot valgus angle ≤ θ, there is no score; When the score is f, lateral support of the outsole is required; When the score is g, medial support of the outsole is required.

7. The method for shoe fitting customization based on multi-dimensional foot feature detection according to claim 3, wherein: The arch flexibility is divided into five levels: extremely rigid type, rigid type, neutral type, soft type, and extremely soft type. The corresponding scores for the five levels are h, i, j, k, l; When the score is h, both the outsole and the insole require high cushioning requirement; When the score is i, both the outsole and the insole require medium cushioning requirement; When the score is j, neither the insole nor the outsole has a cushioning requirement; When the scores are k and l, the outsole requires the outsole support requirement.

8. The method for shoe fitting customization based on multi-dimensional foot feature detection according to claim 3, characterized in that: The forefoot pressure ratio > 1.2 indicates a tendency of forefoot valgus; the forefoot pressure ratio < 0.6 indicates a tendency of forefoot varus; when the forefoot pressure ratio is at the intermediate value, it indicates no tendency; when the forefoot pressure classification shows a tendency of forefoot valgus, the insole wedge requirement is the forefoot valgus wedge of the insole; the insoles of other classifications are not processed.

9. The method for shoe fitting customization based on multi-dimensional foot feature detection according to claim 3, characterized in that: The rearfoot pressure ratio > 1.2 indicates a tendency of rearfoot valgus; the forefoot pressure ratio < 0.8 indicates a tendency of rearfoot varus; when the rearfoot pressure ratio is at the intermediate value, it indicates no tendency; when the rearfoot pressure classification shows a tendency of rearfoot valgus, the insole wedge requirement is the rearfoot varus wedge of the insole; when the rearfoot pressure classification shows a tendency of rearfoot varus, the insole wedge requirement is the rearfoot valgus wedge of the insole.

10. The method for shoe fitting customization based on multi-dimensional foot feature detection according to claim 3, characterized in that: The forward angle ≤ -β, the score is m; when the forward angle > β, the score is n; when the forward angle score is m, the insole is selected as the forefoot valgus wedge; when the forward angle score is n, the insole is not processed; The valgus angle > γ, the score is p, and the other angles are not scored; when the valgus angle score is p, the wedge requirement of the shoe outsole is the rearfoot varus wedge of the shoe outsole, and the support requirement of the insole is the standard arch support of the insole.

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