Posture correction method applied to virtual reality tennis training

Abstract

The invention discloses a posture correction method applied to virtual reality tennis training. The posture correction method comprises the following steps: firstly, acquiring body characteristics, posture information, a distance between two feet, knee curvature and back radian; calling a standard posture model according to the body characteristics and the posture information; obtaining a standard two-foot distance, a standard knee curvature and a standard back radian from the standard posture model; comparing the two-foot distance with a standard two-foot distance, comparing the knee curvature with a standard knee curvature, and comparing the back radian with a standard back radian, and generating a two-foot correction signal, a knee correction signal and a back correction signal according to comparison results; the correction signals are fused to form correction data; and transmitting the correction data to the intelligent device, and displaying a corresponding content scene by the intelligent device according to the correction data. Therefore, the corresponding correction signal can be obtained according to the real-time posture information of the trainee and displayed to the trainee through the intelligent equipment, the posture is corrected in time, and the training effectiveness is improved.

Description

Technical Field

[0001] The invention relates to the technical field of virtual reality, and in particular to a posture correction method applied to virtual reality tennis training. Background Art

[0002] With the development of science and technology, many simulation devices are combined with virtual reality devices to enhance the immersion of sports training. For example, in tennis training, the tennis training scene includes trainers, rackets, courts, tennis balls, etc. The posture of tennis trainers plays a very important role in the success rate of hitting and serving. However, due to personal physical reasons, non-standard postures often occur. For example: the distance between the feet is inconsistent with the shoulder width, the back is not straight, and the knees are not bent equally.

[0003] In view of the above technical problems, technical personnel in this field urgently need to design a posture correction method so as to correct the posture during the training process and improve the effectiveness of the training. Summary of the invention

[0004] In view of the above-mentioned shortcomings, the technical problem to be solved by the present invention is to provide a posture correction method applied to virtual reality tennis training, which can obtain corresponding correction signals according to the real-time posture information of the trainees and display them to the trainees through smart devices, so as to correct the posture in time and improve the effectiveness of training.

[0005] In order to solve the above technical problems, the technical solution of the present invention is: A posture correction method for virtual reality tennis training comprises the following steps: Obtain physical characteristics of tennis training personnel; Obtaining posture information, foot distance, knee bend, and back arch of tennis trainers during training; According to the body features and posture information, the corresponding standard posture model is retrieved; From the standard posture model, we get the standard foot distance, standard knee bending and standard back curvature; Compare the distance between the two feet with the standard distance between the two feet, and generate corresponding correction signals for the two feet according to the comparison result; Compare the knee curvature with the standard knee curvature, and generate a corresponding knee correction signal according to the comparison result; Compare the back curvature with the standard back curvature, and generate a corresponding back correction signal according to the comparison result; The correction signals of both feet, knees and back are integrated to form correction data; The correction data is transmitted to the smart device, and the smart device displays the corresponding content scene according to the received correction data.

[0006] Preferably, the step of comparing the distance between the two feet with the standard distance between the two feet and generating a corresponding correction signal for the two feet according to the comparison result includes: Determine whether the difference between the distance between the two feet and the standard distance between the two feet is within a preset first allowable range; If it is within the first allowed range, a corresponding two-foot qualified signal is generated; If it is not within the first allowed range, generating a double-foot correction signal corresponding to the increase or decrease of the distance between the two feet; According to the qualified signals of both feet, corresponding voice prompts are issued.

[0007] Preferably, the step of comparing the knee curvature with the standard knee curvature and generating a corresponding knee correction signal according to the comparison result comprises: determining whether the difference between the knee bending degree and the standard knee bending degree is within a preset second allowable range; If within the second allowed range, generating a corresponding knee qualified signal; If it is not within the second allowable range, generating a knee correction signal corresponding to the increase or decrease of the knee bending degree; According to the knee qualified signal, the corresponding voice prompt is issued.

[0008] Preferably, the step of comparing the back curvature with the standard back curvature and generating a corresponding back correction signal according to the comparison result includes: Determine whether the difference between the back curvature and the standard back curvature is within a preset third allowable range; If it is within the third allowable range, generating a corresponding back qualified signal; If it is not within the third allowable range, a back correction signal corresponding to the increase or decrease of the back curvature is generated; According to the qualified signal of the back, the corresponding voice prompt is issued.

[0009] Preferably, the step of obtaining the physical characteristics of the tennis trainer includes: The camera collects images of tennis trainers; analyzing the image using an image processing unit; Get the physical characteristics of tennis training staff.

[0010] Preferably, the step of obtaining the physical characteristics of the tennis trainer includes: inputting the physical characteristics of the tennis trainer through a human-computer interaction interface.

[0011] Preferably, the physical characteristics include height, shoulder width and arm length.

[0012] Preferably, the content scene includes: displaying the virtual figure and the standard figure at the same position in the content scene.

[0013] Preferably, the content scene includes: displaying a virtual figure and a standard figure at front and rear positions in the content scene respectively.

[0014] After adopting the above technical solution, the beneficial effects of the present invention are: The posture correction method for virtual reality tennis training of the present invention comprises the following steps: firstly obtaining the physical characteristics of tennis trainers, the posture information of tennis trainers in training, the distance between two feet, the knee curvature and the back curvature; then according to the physical characteristics and the posture information, calling the corresponding standard posture model; from the standard posture model, obtaining the standard distance between two feet, the standard knee curvature and the standard back curvature; then comparing the distance between two feet with the standard distance between two feet, and generating the corresponding correction signal for two feet according to the comparison result; comparing the knee curvature with the standard knee curvature, and generating the corresponding correction signal for knee according to the comparison result; comparing the back curvature with the standard back curvature, and generating the corresponding correction signal for back according to the comparison result; then fusing the correction signal for two feet, the knee correction signal and the back correction signal to form correction data; finally transmitting the correction data to the intelligent device, and the intelligent device displays the corresponding content scene according to the received correction data. It can be seen that the posture correction method of the present invention can obtain the corresponding correction signal according to the real-time posture information of the trainer, and display it to the trainer through the intelligent device, so as to correct the posture in time and improve the effectiveness of the training. DETAILED DESCRIPTION

[0015] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail in the following embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0016] A posture correction method for virtual reality tennis training comprises the following steps: Step 1: Obtain physical characteristics of tennis trainers; the physical characteristics include height, shoulder width and arm length.

[0017] Step 2, obtaining posture information, distance between two feet, knee bending degree and back curvature of the tennis trainer during training; Step 3: According to the body features and posture information, retrieve the corresponding standard posture model; Step 4: From the standard posture model, obtain the standard distance between the two feet, the standard knee bending degree and the standard back curvature; Step 5: Compare the distance between the two feet with the standard distance between the two feet, and generate corresponding correction signals for the two feet according to the comparison result; specifically, first calculate the difference between the distance between the two feet and the difference between the standard distance between the two feet Δ1; Then determine whether the difference Δ1 between the distance between the two feet and the standard distance between the two feet is within a preset first allowable range; If Δ1 is within the first allowed range, a corresponding two-foot qualified signal is generated; If Δ1 is not within the first allowable range, a double-foot correction signal corresponding to the increase or decrease in the distance between the two feet is generated; According to the qualified signals of both feet, corresponding voice prompts are issued.

[0018] It should be noted that the voice prompt "The distance between the two feet is acceptable" can be issued by a speaker on the venue, or by a speaker on a smart device.

[0019] Step 6: Compare the knee curvature with the standard knee curvature, and generate a corresponding knee correction signal according to the comparison result; specifically, first calculate the difference Δ2 between the knee curvature and the standard knee curvature; Then determining whether the difference Δ2 between the knee bending degree and the standard knee bending degree is within a preset second allowable range; If Δ2 is within the second allowable range, generating a corresponding knee qualified signal; If Δ2 is not within the second allowable range, a knee correction signal corresponding to an increase or decrease in knee bending is generated; According to the knee qualified signal, the corresponding voice prompt is issued.

[0020] It should be noted that the voice prompt "the knee flexion degree is acceptable" can be issued by a speaker on the venue, or by a speaker on a smart device.

[0021] Step 7: Compare the back curvature with the standard back curvature, and generate a corresponding back correction signal according to the comparison result; specifically, first calculate the difference Δ3 between the back curvature and the standard back curvature; Then determine whether the difference Δ3 between the back curvature and the standard back curvature is within a preset third allowable range; If Δ3 is within the third allowable range, generating a corresponding back pass signal; If Δ3 is not within the third allowable range, a back correction signal corresponding to the increase or decrease of the back curvature is generated; According to the qualified signal of the back, the corresponding voice prompt is issued.

[0022] It should be noted that the voice prompt "the back curvature is acceptable" can be issued by a speaker on the venue, or by a speaker on a smart device.

[0023] Step 8: Fusing the correction signals of both feet, the knees and the back to form correction data; Step 9: Transmit the correction data to the smart device, and the smart device displays the corresponding content scene according to the received correction data. Specifically, the content scene includes: displaying the virtual body posture and the standard body posture at the same position in the content scene; the content scene also includes: displaying the virtual body posture and the standard body posture at the front and back positions in the content scene respectively.

[0024] After adopting the posture correction method of the present invention, a corresponding correction signal can be obtained according to the real-time posture information of the trainee, and displayed to the trainee through an intelligent device so as to correct the posture in time and improve the effectiveness of the training. The method of the present invention is simple, easy to implement, low in cost and easy to operate.

[0025] In some embodiments of the present invention, the physical features in step 1 include the following steps: The camera collects images of tennis trainers; analyzing the image using an image processing unit; Get the physical characteristics of tennis training staff.

[0026] In some other embodiments of the present invention, the physical features in step 1 include the following steps: The physical characteristics of the tennis trainer are input through the human-computer interaction interface.

[0027] The above-described preferred embodiments of the present invention are only intended to limit the present invention. Any modifications made within the spirit and principles of the present invention, as well as improvements to a posture correction method for virtual reality tennis training, etc., should be included in the protection scope of the present invention.

Claims

1. A posture correction method for virtual reality tennis training, characterized in that: The following steps are involved: Obtain physical characteristics of tennis training personnel; Obtaining information on the posture, foot distance, knee bend, and back curvature of tennis trainers during training; According to the body features and posture information, the corresponding standard posture model is retrieved; From the standard posture model, we get the standard distance between the feet, the standard knee bend and the standard back curvature; Compare the distance between the two feet with the standard distance between the two feet, and generate corresponding correction signals for the two feet according to the comparison result; Compare the knee curvature with the standard knee curvature, and generate a corresponding knee correction signal according to the comparison result; Compare the back curvature with the standard back curvature, and generate a corresponding back correction signal according to the comparison result; The correction signals of both feet, knees and back are integrated to form correction data; The correction data is transmitted to the smart device, and the smart device displays the corresponding content scene according to the received correction data.

2. The posture correction method for virtual reality tennis training according to claim 1, characterized in that: The step of comparing the distance between the two feet with the standard distance between the two feet and generating corresponding correction signals for the two feet according to the comparison result includes: Determine whether the difference between the distance between the two feet and the standard distance between the two feet is within a preset first allowable range; If it is within the first allowed range, a corresponding two-foot qualified signal is generated; If it is not within the first allowed range, generating a double-foot correction signal corresponding to the increase or decrease of the distance between the two feet; According to the qualified signals of both feet, corresponding voice prompts are issued.

3. The posture correction method for virtual reality tennis training according to claim 1, characterized in that: The step of comparing the knee curvature with the standard knee curvature and generating a corresponding knee correction signal according to the comparison result comprises: determining whether the difference between the knee bending degree and the standard knee bending degree is within a preset second allowable range; If within the second allowed range, generating a corresponding knee qualified signal; If it is not within the second allowable range, generating a knee correction signal corresponding to the increase or decrease of the knee bending degree; According to the knee qualified signal, the corresponding voice prompt is issued.

4. The posture correction method for virtual reality tennis training according to claim 1, characterized in that: The step of comparing the back curvature with the standard back curvature and generating a corresponding back correction signal according to the comparison result includes: Determine whether the difference between the back curvature and the standard back curvature is within a preset third allowable range; If it is within the third allowable range, generating a corresponding back qualified signal; If it is not within the third allowable range, a back correction signal corresponding to the increase or decrease of the back curvature is generated; According to the qualified signal of the back, the corresponding voice prompt is issued.

5. The posture correction method for virtual reality tennis training according to claim 1, characterized in that: The step of obtaining the physical characteristics of the tennis trainer comprises: The camera collects images of tennis trainers; analyzing the image using an image processing unit; Get the physical characteristics of tennis training staff.

6. The posture correction method for virtual reality tennis training according to claim 1, characterized in that: The step of obtaining the physical characteristics of the tennis trainer comprises: The physical characteristics of the tennis trainer are input through the human-computer interaction interface.

7. The posture correction method for virtual reality tennis training according to any one of claims 1 to 6, characterized in that: The physical characteristics include height, shoulder width and arm length.

8. The posture correction method for virtual reality tennis training according to claim 1, characterized in that: The content scene includes: displaying a virtual figure and a standard figure at the same position in the content scene.

9. The posture correction method for virtual reality tennis training according to claim 1, characterized in that: The content scene includes: displaying a virtual figure and a standard figure at front and back positions in the content scene respectively.