Method and device for evaluating alpine skiing slalom movement level based on plantar pressure

The use of in-shoe pressure sensors and deep learning for evaluating skiing turn performance addresses the lack of quantitative assessment in high mountain skiing, offering accurate and cost-effective evaluation of skier posture, power, and balance.

CN118949378BActive Publication Date: 2025-07-15BEIJING INST OF TECH
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Patent Information

Application Number
CN202411019866.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-07-29
Publication Date
2025-07-15
Estimated Expiration
2044-07-29

AI Technical Summary

Technical Problem

The prior art is difficult to effectively quantify the level of alpine skiing slewing movement, and the image and inertial sensor acquisition methods have problems such as high cost, large data transmission, susceptible to weather and inconvenient wear.

Method used

By setting up a sole pressure measurement sensor inside the ski boot, the sole pressure under each slewing cycle is collected, the skier's posture is estimated using deep learning technology, and the posture control, explosive force, force control and balance ability characteristics are extracted for comprehensive evaluation.

Benefits of technology

It is achieved to quantitatively evaluate the skier's slewing exercise level without interfering with the skier's movement, provide single-item evaluation results and provide guidance and suggestions, solving the shortcomings of the existing technology.

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Abstract

The present invention relates to the technical field of quantitative evaluation of skiing, and particularly to a method and device for evaluating the slalom skiing motion level based on plantar pressure. The technical solution provided by the present invention collects the plantar pressure in each turning cycle through a plantar pressure measurement sensor disposed inside a ski boot, then determines a target feature set for characterizing the attitude force control state of a skier in alpine skiing based on the plantar pressure, and finally evaluates the slalom skiing motion level of the skier in alpine skiing based on the target feature set. Therefore, the above technical solution can quantitatively evaluate the slalom skiing motion level of a skier in alpine skiing by collecting the plantar pressure of the skier in each turning cycle.
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Description

Technical Field

[0001] The present invention relates to the technical field of quantitative assessment of skiing, and particularly to a method and device for evaluating the alpine skiing slalom movement level based on plantar pressure. Background Art

[0002] Artificial intelligence has had a significant impact on the development of sports. The continuous upgrading of intelligent devices has been prominently applied in the sports field and has become an important tool for improving sports performance. As one of the core events of winter sports, alpine skiing is widely welcomed. However, at present, the evaluation of the alpine skiing slalom level mostly relies on the experience of coaches for qualitative evaluation.

[0003] Based on this, the present invention proposes a method and device for evaluating the alpine skiing slalom movement level based on plantar pressure to solve the above technical problems. Summary of the Invention

[0004] The present invention describes a method and device for evaluating the alpine skiing slalom movement level based on plantar pressure, which can quantitatively evaluate the slalom movement level of skiers in alpine skiing.

[0005] According to the first aspect, the present invention provides a method for evaluating the alpine skiing slalom movement level based on plantar pressure, including:

[0006] Obtaining the plantar pressure under each turning cycle collected by a plantar pressure measurement sensor disposed inside a ski boot;

[0007] Based on the plantar pressure, determining a target feature set; wherein, the target feature set is used to characterize the posture and force control state of a skier in alpine skiing;

[0008] Based on the target feature set, evaluating the slalom movement level of a skier in alpine skiing.

[0009] According to the second aspect, the present invention provides a device for evaluating the alpine skiing slalom movement level based on plantar pressure, including:

[0010] An obtaining unit configured to obtain the plantar pressure under each turning cycle collected by a plantar pressure measurement sensor disposed inside a ski boot;

[0011] A determining unit configured to determine a target feature set based on the plantar pressure; wherein, the target feature set is used to characterize the posture and force control state of a skier in alpine skiing;

[0012] An evaluating unit configured to evaluate the slalom movement level of a skier in alpine skiing based on the target feature set.

[0013] In a third aspect, an embodiment of this specification further provides an electronic device, including a memory and a processor. A computer program is stored in the memory. When the processor executes the computer program, the method described in any embodiment of this specification is implemented.

[0014] In a fourth aspect, an embodiment of this specification further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed on a computer, the computer is made to execute the method described in any embodiment of this specification.

[0015] According to the method and device for evaluating the alpine skiing slalom movement level based on plantar pressure provided by the present invention, the plantar pressure in each turning cycle is collected by a plantar pressure measurement sensor arranged inside the ski boots, and then a target feature set for characterizing the attitude force control state of the skier in alpine skiing is determined based on the plantar pressure. Finally, the turning movement level of the skier in alpine skiing is evaluated based on the target feature set. Therefore, the above technical solution can quantitatively evaluate the turning movement level of the skier in alpine skiing by collecting the plantar pressure of the skier in each turning cycle. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0017] Figure 1 Shows a schematic flowchart of a method for evaluating the alpine skiing slalom movement level based on plantar pressure according to an embodiment;

[0018] Figure 2 Shows a schematic block diagram of a device for evaluating the alpine skiing slalom movement level based on plantar pressure according to an embodiment;

[0019] Figure 3 Shows a schematic diagram of the upper body inclination angle and the lower body inclination angle according to an embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] The following describes the solution provided by the present invention with reference to the drawings.

[0021] Figure 1 Shows a schematic flowchart of a method for evaluating the alpine skiing slalom movement level based on plantar pressure according to an embodiment. It can be understood that this method can be executed by any device, equipment, platform, or equipment cluster with computing and processing capabilities. Such asFigure 1 As shown, the method includes:

[0022] Step 100: Obtain the plantar pressure under each turning cycle collected by a plantar pressure measurement sensor disposed inside the ski boot;

[0023] Step 102: Determine a target feature set based on the plantar pressure; wherein, the target feature set is used to characterize the postural force control state of the skier during alpine skiing;

[0024] Step 104: Evaluate the turning motion level of the skier during alpine skiing based on the target feature set.

[0025] In this embodiment, the plantar pressure under each turning cycle is collected by a plantar pressure measurement sensor disposed inside the ski boot, then a target feature set for characterizing the postural force control state of the skier during alpine skiing is determined based on the plantar pressure, and finally the turning motion level of the skier during alpine skiing is evaluated based on the target feature set. Therefore, the above technical solution can quantitatively evaluate the turning motion level of the skier during alpine skiing by collecting the plantar pressure under each turning cycle of the skier.

[0026] In an embodiment of the present invention, the target feature set includes postural control features, explosive force features, force control features, and balance ability features, and the ability to evaluate the turning motion level includes postural control ability, explosive ability, force control ability, and balance ability.

[0027] Alpine skiing is a complex whole-body sport. The skier needs to maintain body balance while pushing off the ground to achieve turning movements. The skier needs to have good postural control ability, explosive ability, force control ability, and balance ability to successfully complete the turning motion without causing sports injuries. Therefore, the skier's postural control ability, explosive ability, force control ability, and balance ability are important evaluation indicators for quantitatively evaluating the turning motion level.

[0028] The skier's posture control ability is reflected in the body posture, while the explosive ability, force control ability, and balance ability are reflected in the plantar pressure data. Existing methods for evaluating alpine skiing slalom mainly extract the skier's posture information through images or wearable inertial sensors. However, both of these methods have many problems. On the one hand, due to the high speed, long distance, and large drop of alpine skiing, it is difficult to capture the skier's slalom images throughout the process using a camera, and the camera is easily affected by weather, light, and occlusion, which causes difficulties in evaluating the slalom. In addition, this acquisition method is costly, with a large amount of data transmission and calculation. On the other hand, for the acquisition method based on wearable inertial sensors, the calculated posture drifts over time and is not suitable for long-term use. Moreover, wearable devices are prone to problems such as inconvenient wearing and interference with the skier's behavior.

[0029] In view of the above problems and deficiencies, the present invention proposes a method for evaluating the level of alpine skiing slalom based on plantar pressure. A plantar pressure measurement insole is placed inside the ski boot (that is, each plantar pressure measurement insole contains n measurement units, and the collected left plantar pressure data is f 11 , f 12 ,..., f 1n , and the right plantar pressure data is f 21 , f 22 ,..., f 2n ). Without disturbing the skier's movement, deep learning technology is used to estimate the skier's important postures. Then, based on the measured plantar pressure information and the estimated posture information, posture control features, explosive force features, force control features, and balance ability features are extracted to individually evaluate the skier's posture control ability, explosive ability, force control ability, and balance ability, and comprehensively evaluate the level of slalom. Finally, corresponding guiding suggestions are given according to the evaluation results. For details, please refer to the following:

[0030] In an embodiment of the present invention, the posture control features are determined in the following manner:

[0031] Matrix processing is performed on the plantar pressure in each slalom cycle to obtain time series data; where the time series data includes M samples, and the dimension of each sample is 2×n, and n is the sliding window length;

[0032] The time series data is respectively input into the first extraction model and the second extraction model, and the results output by the first extraction model and the second extraction model are feature fused to obtain fused data; where the first extraction model is used to sequentially extract the local time features of the time series data, and the second extraction model is used to extract the global time features of the time series data;

[0033] Input the fused data into the pose recognition model, and output the upper body inclination angle and lower body inclination angle of the skier in the coronal plane;

[0034] Determine the pose control features based on the following formula:

[0035]

[0036] In the formula, t1, t2, and t3 respectively represent the pose control features, represents the maximum lower body inclination angle of the skier in each turning cycle, represents the maximum upper body inclination angle of the skier in each turning cycle.

[0037] In this embodiment, considering that during the alpine skiing slalom, the skier's level is not only reflected in the plantar pressure data but also closely related to the body pose data, the inventor creatively thought of a method to estimate the body pose angle of alpine skiing slalom using plantar pressure data, that is, the inclination angle of the skier can be estimated without a pose acquisition device. Among them, the pose of the skier during the turning movement is as Figure 3 shown, and respectively represent the upper body inclination angle and lower body inclination angle of the skier in the coronal plane. These two inclination angles are closely related to the skiing level during the turning movement and are important pose information.

[0038] In some embodiments, the first extraction model may include multiple one-dimensional convolutional layers, and each one-dimensional convolutional layer is followed by a batch normalization layer. The one-dimensional convolutional layer can well extract the temporal interaction features between time series data. Each one-dimensional convolutional layer contains multiple convolutional kernels. Each convolutional kernel slides in the time series, multiplies point by point with the local region data, and adds the results to generate a new feature map. This operation can well extract the local temporal features in the time series data. The batch normalization layer is used for data normalization to accelerate the model convergence speed and improve the model stability.

[0039] In some embodiments, the second extraction model may include multiple bidirectional gated recurrent units for extracting the forward and backward temporal features in the sequence.

[0040] In some embodiments, the pose recognition model may include a fully connected layer and a dropout layer for pose angle estimation. During the model learning process, the dropout layer reduces the mutual dependence between nodes by randomly zeroing out some weights or outputs of the hidden layer, thereby realizing the regularization of the neural network and reducing the risk of the network structure.

[0041] In an embodiment of the present invention, the explosive power feature is determined by the following formula:

[0042]

[0043] In the formula, t4 and t5 respectively represent the explosive power characteristics, and F 1max represents the maximum plantar pressure on the left side of the skier in each turning cycle, and F 2max represents the maximum plantar pressure on the right side of the skier in each turning cycle, and G represents the weight of the skier.

[0044] In an embodiment of the present invention, the force control characteristics are determined by the following formula:

[0045]

[0046] In the formula, t6 and t7 respectively represent the force control characteristics, and F 1min represents the minimum plantar pressure on the left side of the skier in each turning cycle, and F 2min represents the minimum plantar pressure on the right side of the skier in each turning cycle.

[0047] In an embodiment of the present invention, the balance ability characteristics are determined by the following formula:

[0048]

[0049] In the formula, t8 and t9 respectively represent the balance ability characteristics.

[0050] It should be noted that the posture control characteristics of the skier are reflected in the maximum inclination angle of the lower limbs, the maximum posture angle of the upper body and the difference between the two in each turning cycle; the explosive power characteristics of the skier are reflected in the maximum plantar pressure in each turning cycle; the force control characteristics of the skier are reflected in the difference between the maximum plantar pressure and the minimum plantar pressure in each turning cycle; the balance ability characteristics of the skier are reflected in the difference between the left and right foot pressures in each turning cycle. Therefore, nine turning characteristics such as t1 to t9 in the above embodiments can be obtained.

[0051] In summary, the present invention has the following advantages: 1) It is possible to estimate the important postures of the skier only using plantar pressure information without using a posture acquisition device, solving many problems and defects in image and inertial sensor information acquisition and posture calculation. 2) It is possible to conduct single-item evaluations on the skier's posture control ability, explosive ability, force control ability and balance ability only using plantar pressure information, and conduct a comprehensive evaluation on the alpine skiing turning motion level. 3) Corresponding guiding suggestions can be given according to the single-item evaluation results.

[0052] The above describes specific embodiments of the present invention. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve the desired results. Additionally, the processes depicted in the drawings do not necessarily require the specific order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0053] According to an embodiment of another aspect, the present invention provides a device for evaluating the alpine skiing slalom movement level based on plantar pressure. Figure 2 A schematic block diagram showing a device for evaluating the alpine skiing slalom movement level based on plantar pressure according to an embodiment is shown. It can be understood that the device can be implemented by any device, equipment, platform, and cluster of devices having computing and processing capabilities. As Figure 2 shown, the device includes: an acquisition unit 200, a determination unit 202, and an evaluation unit 204. The main functions of each component unit are as follows:

[0054] The acquisition unit 200 is configured to acquire the plantar pressure in each slalom cycle collected by a plantar pressure measurement sensor disposed inside a ski boot;

[0055] The determination unit 202 is configured to determine a target feature set based on the plantar pressure; wherein, the target feature set is used to characterize the posture force control state of a skier in alpine skiing;

[0056] The evaluation unit 204 is configured to evaluate the slalom movement level of a skier in alpine skiing based on the target feature set.

[0057] As a preferred embodiment, the target feature set includes a posture control feature, an explosive power feature, a force control feature, and a balance ability feature, and the capabilities of the slalom movement level evaluation include a posture control ability, an explosive ability, a force control ability, and a balance ability.

[0058] As a preferred embodiment, the posture control feature is determined by the following method:

[0059] Perform matrix processing on the plantar pressure in each slalom cycle to obtain time series data; wherein, the time series data includes M samples, and the dimension of each sample is 2×n, where n is the sliding window length;

[0060] Input the time series data into the first extraction model and the second extraction model respectively, and fuse the features of the results output by the first extraction model and the second extraction model to obtain fused data; wherein, the first extraction model is used to sequentially extract the local time features of the time series data, and the second extraction model is used to extract the global time features of the time series data;

[0061] Input the fused data into the pose recognition model, and output the upper body inclination angle and the lower body inclination angle of the skier in the coronal plane;

[0062] Based on the following formula, determine the pose control features:

[0063]

[0064] In the formula, t1, t2, and t3 respectively represent the pose control features, represents the maximum lower body inclination angle of the skier in each turning cycle, represents the maximum upper body inclination angle of the skier in each turning cycle.

[0065] As a preferred embodiment, the explosive force feature is determined by the following formula:

[0066]

[0067] In the formula, t4 and t5 respectively represent the explosive force features, F 1max represents the maximum left sole pressure of the skier in each turning cycle, F 2max represents the maximum right sole pressure of the skier in each turning cycle, and G represents the weight of the skier.

[0068] As a preferred embodiment, the force control feature is determined by the following formula:

[0069]

[0070] In the formula, t6 and t7 respectively represent the force control features, F 1min represents the minimum left sole pressure of the skier in each turning cycle, F 2min represents the minimum right sole pressure of the skier in each turning cycle.

[0071] As a preferred embodiment, the balance ability feature is determined by the following formula:

[0072]

[0073] In the formula, t8 and t9 respectively represent the balance ability features.

[0074] According to an embodiment of another aspect, there is also provided a computer-readable storage medium having a computer program stored thereon. When the computer program is executed in a computer, the computer is caused to execute the method in combination with Figure 1 the method described.

[0075] According to an embodiment of still another aspect, there is also provided an electronic device including a memory and a processor. An executable code is stored in the memory. When the processor executes the executable code, the method in combination with Figure 1 the method described is implemented.

[0076] The various embodiments in the present invention are described in a progressive manner. For the same or similar parts among the various embodiments, reference can be made to each other. The key point of each embodiment is to illustrate the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for the relevant parts, reference can be made to the partial description of the method embodiment.

[0077] Those skilled in the art should be able to realize that in the above one or more examples, the functions described in the present invention can be implemented by hardware, software, firmware, or any combination thereof. When implemented using software, these functions can be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium.

[0078] The specific embodiments described above further elaborate on the object, technical solution, and beneficial effects of the present invention. It should be understood that the above is only the specific embodiment of the present invention and is not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made on the basis of the technical solution of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for evaluating the level of alpine skiing slalom based on plantar pressure, characterized in that, Including: Obtaining the plantar pressure under each turning cycle collected by a plantar pressure measurement sensor disposed inside a ski boot; Determining a target feature set based on the plantar pressure; wherein, the target feature set is used to characterize the posture force control state of a skier during alpine skiing; Evaluating the turning motion level of the skier during alpine skiing based on the target feature set; The target feature set includes posture control features, explosive force features, force control features, and balance ability features, and the capabilities of the turning motion level evaluation include posture control ability, explosive ability, force control ability, and balance ability; The posture control features are determined by the following method: Performing matrix processing on the plantar pressure under each turning cycle to obtain time series data; wherein, the time series data includes M samples, and the dimension of each sample is 2×n, and n is the sliding window length; Inputting the time series data into a first extraction model and a second extraction model respectively, and performing feature fusion on the results output by the first extraction model and the second extraction model to obtain fusion data; wherein, the first extraction model is used to sequentially extract the local time features of the time series data, and the second extraction model is used to extract the global time features of the time series data; Inputting the fusion data into a posture recognition model, and outputting the upper body inclination angle and the lower body inclination angle of the skier in the coronal plane; Determining the posture control features based on the following formula: In the formula, t1, t2, and t3 respectively represent attitude control features, represents the maximum lower body inclination angle of the skier in each turning cycle, represents the maximum upper body inclination angle of the skier in each turning cycle.

2. The method according to claim 1, characterized in that, The explosive force features are determined by the following formula: Wherein, t4 and t5 respectively represent the explosive force characteristics, and F 1max represents the maximum left plantar pressure of the skier in each turning cycle, and F 2max represents the maximum right plantar pressure of the skier in each turning cycle, and G represents the weight of the skier.

3. The method according to claim 2, characterized in that, The force control features are determined by the following formula: In the formula, t6 and t7 respectively represent the force control characteristics, and F 1min represents the minimum plantar pressure on the left side of the skier in each turning cycle, and F 2min represents the minimum plantar pressure on the right side of the skier in each turning cycle.

4. The method according to claim 3, wherein The balance ability features are determined by the following formula: In the formula, t8 and t9 respectively represent the balance ability features.

5. An alpine skiing slalom movement level evaluation device based on plantar pressure, characterized in that, The method applied to any one of claims 1-4 includes: An acquisition unit configured to acquire the plantar pressure under each turning cycle collected by a plantar pressure measurement sensor disposed inside a ski boot; A determination unit configured to determine a target feature set based on the plantar pressure; wherein, the target feature set is used to characterize the posture force control state of a skier during alpine skiing; An evaluation unit configured to evaluate the turning motion level of the skier during alpine skiing based on the target feature set.

6. An electronic device, characterized in that, Including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the method according to any one of claims 1-4 is implemented.

7. A computer-readable storage medium, characterized in that, On which a computer program is stored, and when the computer program is executed in a computer, the computer is made to execute the method according to any one of claims 1-4.

Citation Information

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