KR-20260062626-A - METHOD FOR PROVIDING COACHING SERVICE FOR EXERCISE VIDEOS AND SYSTEM PERFORMING THE SAME

Abstract

The present disclosure relates to a method for providing an exercise video coaching service and a system for performing the same. A method according to one embodiment of the present disclosure may include the steps of: receiving a request to capture an exercise video by a camera device, capturing the video for a preset time in accordance with the request, receiving a playback request and playing the captured video; displaying a QR code and transmitting it to a server after a user terminal captures it; the server authenticating that the user is a legitimate user of an account through the QR code information; transmitting the authentication result to the camera device to approve the login; receiving a request to upload the captured exercise video to a server and uploading the video accordingly; and the server analyzing the uploaded video using LLM to evaluate the user's exercise posture and transmitting the evaluation result to the user terminal.

Inventors

• 김원균

Assignees

• 주식회사 에이아이핏

Dates

Publication Date

20260507

Application Date

20241029

Claims (1)

1. Regarding the method of providing exercise video coaching services, A step of receiving a first user request corresponding to capturing motion video by a camera device; A step of capturing an exercise video for a preset time according to the first user request by the camera device above; A step of receiving a second user request corresponding to the playback of a user's exercise video by the camera device above; A step of playing back the captured motion video based on the second user request by the camera device; A step of displaying a QR code by the above camera device; A step of capturing the QR code by a user terminal; A step of transmitting the QR code information to a server by the above user terminal; A step of authenticating, by the server above, that a user corresponding to the user terminal is a legitimate user of the account that attempted to log in using the camera device based on the QR code information; A step of transmitting the authentication result to the camera device by the server; A step of authorizing a login to the account based on the transmitted authentication result by the camera device; A step of receiving a third user request to upload the captured motion video to the server by the camera device; A step of uploading a motion video captured by the camera device based on the third user request to the server; A step of generating an evaluation of the user's exercise posture using an LLM that takes the uploaded exercise video as input by the server above; and A method comprising the step of transmitting the generated evaluation to the user terminal by the server.

Description

Method for providing exercise video coaching service and system performing the same The present disclosure relates to a method for providing exercise video coaching services and a system for performing the same. More specifically, it relates to a method and system that allows consumers to easily record their own exercise videos without installing or carrying a separate device, view them on a smart device, and verify the correctness of their exercise posture through AI and ICT-based services. Generally, those wishing to engage in weight training can utilize fitness centers equipped with various exercise machines. Previously, consumers faced difficulties when they wanted to check their exercise form and videos, as they had to rely on the assistance of others or go through the trouble of setting up a camera to record. This method is not only cumbersome but also presents the problem that it is difficult to verify accurate form due to inappropriate filming angles or positions. Furthermore, even when receiving assistance from others, situations may arise where it is difficult to receive accurate feedback because those individuals may lack professional knowledge regarding exercise. Furthermore, there are limitations in determining whether one's exercise form is correct. This is because it is difficult to check one's posture in real-time while exercising, and even if recorded videos are reviewed later, accurate analysis is challenging. Due to these issues, continuing to exercise with incorrect form increases the risk of injury and can reduce the effectiveness of the workout. Therefore, for more efficient and safer exercise, a method is needed to accurately check and correct one's posture. FIG. 1 illustrates an exemplary block diagram of a system for inferring coaching for exercise images using a large-scale language model according to one embodiment of the present disclosure. FIG. 2a illustrates an exemplary flowchart of a method for inferring coaching for exercise images using a large-scale language model according to one embodiment of the present disclosure. FIG. 2b illustrates an exemplary flowchart of a method for inferring coaching for exercise images using a large-scale language model according to one embodiment of the present disclosure. FIG. 3a exemplarily illustrates a UI (310) including a motion video of a user (10) captured by the camera device (120) being displayed on the display of the camera device (120). FIG. 3b exemplarily illustrates a UI (320) including means for identifying a user (10) being displayed on the display of a camera device (120). FIG. 3c exemplarily illustrates a UI (330) for uploading a motion video being displayed on the display of a camera device (120). FIG. 4a illustrates, in an exemplary manner, a UI (410) for providing a list of exercise videos on the display of a user terminal (130). FIG. 4b exemplarily illustrates a UI (420) for providing a list of exercise videos displayed on the display of a user terminal (130). Figure 5 illustrates an exemplary flowchart of a method for inferring coaching for exercise videos using a large-scale language model. FIG. 6 illustrates an exemplary image including a skeleton extracted from one frame of a motion video according to one embodiment of the present disclosure. FIG. 7 illustrates an exemplary block diagram of a server (110) according to one embodiment of the present disclosure. Hereinafter, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings. The embodiments will be described clearly and in detail so that a person skilled in the art can easily practice the present disclosure. However, the scope of the rights is not limited or restricted by these embodiments. Identical or similar reference numerals are used for similar components in each drawing, and redundant descriptions of identical or similar components are omitted. The terms used in the following description have been selected as common and universal in the relevant technical field, but other terms may exist depending on technological development and/or changes, conventions, preferences of the skilled technician, etc. Therefore, the terms used in the following description should not be understood as limiting the technical concept, but as illustrative terms to explain the embodiments. In addition, there are terms arbitrarily selected by the applicant in specific cases, and their detailed meanings will be described in the relevant explanatory section. Therefore, the terms used in the description below must be understood not merely as their names, but based on their meanings and the content throughout the specification. Singular expressions may include plural expressions unless the context clearly indicates otherwise. Terms used herein, including technical or scientific terms, may have the same meaning as generally understood by those skilled in the art as described in this specification. Additionally, terms including ordinal num