KR-20260064894-A - APPARATUS AND METHOD FOR PROVIDING EXERCISE FEEDBACK INFORMATION TO A USER

Abstract

The present disclosure relates to a system for providing user-customized exercise feedback based on an artificial neural network. According to the present disclosure, an exercise feedback providing device receives an exercise UI regarding a user's exercise record and user information, extracts ability data related to the user's exercise category and exercise ability from the exercise UI, obtains exercise assistance information related to characteristics of comparison users for the exercise category and news for the exercise category, generates grade information regarding the user's exercise level in the exercise category using the ability data and the exercise assistance information, generates feedback information regarding the user's exercise status using the grade information, the user information, and the exercise assistance information, and transmits the feedback information to a user terminal.

Inventors

• 김존

Assignees

• 김존

Dates

Publication Date

20260508

Application Date

20241030

Claims (5)

1. In a method of operation of a motion feedback providing device performed by a server, The method of operation of the above-mentioned motion feedback providing device is, A step of receiving an exercise UI (user interface) regarding the user's exercise record and user information; A step of extracting ability data related to the user's exercise category and exercise ability from the above exercise UI; A step of obtaining exercise assistance information related to the characteristics of comparison users for the above exercise category and news of the above exercise category; A step of generating grade information regarding the user's exercise level in the exercise category using the above ability data and the above exercise assistance information; A step of generating feedback information regarding the exercise status of the user using the above-mentioned grade information, the above-mentioned user information, and the above-mentioned exercise assistance information; and A server comprising the step of transmitting the above feedback information to a user terminal.
2. In claim 1, The step of generating the above grade information is, A step of generating comparative ability information regarding the exercise ability of each of the comparison users using the above exercise assistance information; A step of generating score information indicating the user's score by ability category using the above comparison ability information and the above ability data; and The method includes the step of generating grade information indicating the level of the user among the comparison users based on the score information above. The above capability categories are servers including exercise distance, heart rate, exercise time, average pace, calories burned, and breathing rate.
3. In claim 1, The step of generating the above feedback information is, A step of generating exercise status information regarding the exercise level of the user and the cumulative exercise status of the user; A step of generating a feedback report that suggests a change in exercise method to the user based on the grade information, the user information, and the exercise assistance information, based on an artificial neural network; A step of generating recommendation information regarding content preferred by the user using keywords in the feedback report and user preference information in the user information; and A server comprising the step of generating feedback information using at least one of the above exercise status information, the above feedback report, and the above recommendation information.
4. In claim 3, The step of generating the above feedback report is, A step of determining candidate users whose correlation value with the user is within a threshold value using the above-mentioned grade information, the above-mentioned user information, and the above-mentioned exercise assistance information; A step of generating first comparison data related to the difference of the above user compared to the above candidate users, second comparison data related to the difference compared to the above user's exercise history, and trend data related to news of the above exercise category; Based on a pre-trained natural language processing (NLP) model, a step of outputting at least one text related to the user's exercise status and news of the exercise category from the first comparison data, the second comparison data, and the trend data; and A server comprising the step of generating a feedback report by combining at least one of the above texts.
5. In claim 1, A step of receiving an additional exercise UI regarding the user's recent exercise records; and A server further comprising the step of updating the user's ability data based on the additional exercise UI above.

Description

Apparatus and method for providing exercise feedback information to a user The invention relates to a device and method for providing exercise feedback to a user regarding the user's exercise ability, exercise status, and recent exercise trends. With the development of the Internet and the resulting increase in available information, the demand for personalized hobbies is gradually rising. In this context, as the population engaging in exercise as a hobby experiences explosive growth, human life expectancy is steadily increasing; consequently, regular and consistent exercise has emerged as a major social concern for maintaining a healthy lifestyle. Traditionally, exercise was primarily conducted at specific locations, such as fitness centers or sports centers, where exercise professionals provided methods to clients. However, with the advancement of information and communication technology, recent trends show that individuals are increasingly learning exercise techniques through online platforms and engaging in light, independent workouts. In various embodiments, the exercise community is growing, and people who wish to exercise watch exercise-related content and then follow the methods presented in the content. However, while physical conditions, health status, and living environments differ for each user, exercise content is provided unilaterally and does not reflect the individual conditions of each user; consequently, even among those who watch the same exercise content, the effects vary individually. Accordingly, various methods are being researched to enhance the exercise effects for each user. To meet the need to enhance the effectiveness of users' exercise, healthcare-related services that manage users' health status or exercise history have been developed. The accompanying drawings, included as part of the detailed description to aid in understanding the embodiments, provide various embodiments and explain the technical features of the various embodiments together with the detailed description. FIG. 1 illustrates a motion feedback providing system according to various embodiments of the present disclosure. FIG. 2 illustrates the configuration of a motion feedback providing device in a motion feedback providing system according to various embodiments of the present disclosure. FIG. 3 illustrates a schematic diagram of a process for generating feedback information in a motion feedback providing system according to various embodiments of the present disclosure. FIG. 4 illustrates an example of an exercise UI regarding a user's exercise record in an exercise feedback providing system according to various embodiments of the present disclosure. FIG. 5 illustrates a flowchart regarding the operation method of a motion feedback providing device in a motion feedback providing system according to various embodiments of the present disclosure. The terms used in this disclosure are used merely to describe specific embodiments and are not intended to limit the scope of other embodiments. A singular expression may include a plural expression 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 described in this disclosure. Terms used in this disclosure that are defined in a general dictionary may be interpreted as having the same or similar meaning as they have in the context of the relevant technology, and are not to be interpreted in an ideal or overly formal sense unless explicitly defined in this disclosure. In some cases, even terms defined in this disclosure are not to be interpreted to exclude the embodiments of this disclosure. In the various embodiments of the present disclosure described below, a hardware-based approach is described as an example. However, since the various embodiments of the present disclosure include techniques using both hardware and software, the various embodiments of the present disclosure do not exclude a software-based approach. The present disclosure relates to a system for providing user-customized exercise feedback based on an artificial neural network. Specifically, the present disclosure describes a technology for providing user-customized exercise feedback information to a user that takes into account the user's exercise state and recent exercise trends. Hereinafter, various embodiments are described in detail with reference to the attached drawings so that those skilled in the art can easily implement the present disclosure. However, since the technical concept of the present disclosure can be modified and implemented in various forms, it is not limited to the embodiments described in this specification. In describing the embodiments disclosed in this specification, if it is determined that specifically describing related prior art could obscure the essence of the technical concept of the present disclosure, such specific description of pri