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KR-20260063792-A - METHOD AND APPARATUS FOR PROVIDING HEALTH MANAGEMENT SERVICES BASED ON BODY COMPOSITION DATA

KR20260063792AKR 20260063792 AKR20260063792 AKR 20260063792AKR-20260063792-A

Abstract

A method and apparatus for providing a health management service are disclosed, which classifies a user's body shape by analyzing body composition data and provides a step-by-step program for body shape management based on the user's body shape sense information or AI-based goal setting information. The method for providing a health management service includes the steps of: classifying a user's current body shape based on a somatotype body shape score according to the analysis results of the user's body composition data; searching for the shortest path from the current body shape to at least one pre-set target body shape; and generating a step-by-step body shape management guide based on the searched path to go from the current body shape to the final target body shape via the next intermediate target body shape.

Inventors

  • 이대호

Assignees

  • 주식회사 원소프트다임

Dates

Publication Date
20260507
Application Date
20241031

Claims (12)

  1. As a method for providing a health management service based on body composition data, performed by a computing device, A step of classifying the user's current body shape based on the somatotype body shape score according to the analysis results of the user's body composition data; A step of searching for the shortest path to go from the above current body shape to a preset target body shape; and A method for providing a health management service comprising the step of generating a step-by-step body shape management guide to reach the target body shape by passing through an intermediate target body shape located immediately after the current body shape based on the explored path.
  2. In claim 1, A method for providing a health care service, further comprising the step of collecting body composition data through an Internet of Things device or body composition measuring device associated with the user.
  3. In claim 1, A method for providing a health management service, further comprising the step of changing the target body type groups through upward settings within a preset standard body type when a specific body type number within the target body type group complicates the path, when it is difficult to provide the same guide due to large differences in body types within the same group, or when an unwanted downward path is extracted and cannot be used as a guide.
  4. In claim 3, A method for providing a health management service, further comprising the step of determining the body type for each group based on the average body fat percentage, musculoskeletal mass, and Ponderal index of the somato points belonging to each group of the target body type group, for setting the above standard body type.
  5. In claim 1, A method for providing a health management service, further comprising the step of moving the target body type groups upward on a somatograph to reduce the proportion of downward paths requiring reduced muscle mass during path exploration, in cases where a specific body type number within the target body type group complicates the path, where it is difficult to provide the same guide due to large differences in body types within the same group, or where an unwanted downward path is extracted and cannot be used as a guide.
  6. In claim 1, The step of searching for the shortest path described above is a method for providing health care services, wherein the path is searched by individually treating all somato points on the coordinates of a somato graph.
  7. In claim 1, A method for providing a health care service, wherein the above target body type guide includes a guide for leading each element level of the current body type to the target level of the next target body type after redistributing multiple levels of a somato body type number, composed of three elements of endomorph, mesomorph, and ectomorph, into a small number of steps.
  8. As a health management service provider that provides health management services based on body composition data, Memory storing at least one instruction; and A processor connected to the above memory and executing the above at least one instruction; Including, by the at least one instruction, the processor, Based on the analysis results of the user's body composition data, the current body type is classified based on the somatotype's body shape score, and Search for the shortest path from the above current body type to a pre-set target body type, and A health management service providing device that generates a step-by-step body shape management guide to reach the target body shape by passing through an intermediate target body shape located immediately after the current body shape based on a searched path.
  9. In claim 8, The above processor is a health management service providing device that collects body composition data through a communication interface or a transmitting/receiving device connected to an Internet of Things device or a body composition measuring device associated with the user.
  10. In claim 8, The above processor is a health care service providing device that searches for a path by individually handling all somato points on the coordinates of a somato graph during the process of searching for the shortest path.
  11. In claim 8, If a specific body type number within the above target body type group complicates the above path, if there are significant differences in body types within the same group making it difficult to provide the same guide, or if an unwanted downward path is extracted that cannot be used as a guide, A health care service providing device that further performs changing the target body type groups through upward settings within a preset standard body type, or moving the target body type groups upward on a somatograph to reduce the proportion of downward paths where muscle mass must be reduced during path search.
  12. In claim 8, The above target body type guide includes a guide generated to lead the level of each element of the current body type to the target level of the next target body type after redistributing multiple levels of a somato body type number, composed of three elements of endomorph, mesomorph, and ectomorph, into a small number of steps. A healthcare service providing device comprising the following next target body types: a first body type including a body type number of a first group, a second body type including body type numbers of a second group, a third body type including body type numbers of a third group, and a fourth body type including body type numbers of a fourth group.

Description

Method and apparatus for providing health management services based on body composition data The present invention relates to a health management technology based on body composition data, and more specifically, to a method and apparatus for providing a health management service that classifies a user's body type by analyzing body composition data and provides a step-by-step program for body type management according to the user's somatosensory information or artificial intelligence-based goal setting information. Somatotype is a type of body type classification method that classifies temperament into human body types. It refers to a technique that classifies the components constituting the body type into endomorph, mesomorph, and ectomorph, arranges them in a triangular or three-dimensional orthogonal coordinate system, and then determines the body type by performing a 7-level evaluation of these three elements according to their degree by factor (see Fig. 1). Here, germ layer refers to a group of cells during embryonic development of animals, particularly vertebrates, in the literal sense. According to the germline theory, which classifies people into three body types, the endomorph is a person with a chubby body and a slow, optimistic personality; the mesomorph is a person with a muscular, sturdy body and an active, aggressive personality; and the ectomorph is a person with a slim, slender body and a low self-esteem and introverted personality. The method for calculating the somatotype (hereinafter also briefly referred to as 'somato') body shape is in the form of a triangle graph where the level increases as one moves toward each vertex. For example, as illustrated in Figure 1, the endomorph type indicated by the number "711" refers to an obese body type characterized by developed subcutaneous fat, with the abdominal area being more developed than the chest area. Additionally, the mesomorph type indicated by the number "171" refers to a muscular body type characterized by developed muscles, bones, and especially athletic muscles. Furthermore, the ectomorph type indicated by the number "117" refers to a slender and weak body type characterized by well-developed ectomorphic skin tissue, nervous and sensory systems, but with overall underdeveloped subcutaneous fat, bones, and muscles. Moreover, the ectomorph type indicated by body type number "326" refers to a body type with a moderate relative fat level of 3 (Factor 1), a low degree of relative musculoskeletal development (Factor 2), and a high relative linearity level of 6 (Factor 3). In the three-factor grade determination method using the Somato logic model, the grade determination of the first factor, which is an endomorphic factor, is based on subcutaneous fat thickness related to body fat percentage. For example, the first factor is calculated by multiplying the subcutaneous fat thickness of the back of the upper arm, the subcutaneous fat thickness of the lower scapula, and the subcutaneous fat thickness of the upper iliac crest by their respective weights and adding them together. In addition, the grade of the second element, which is a mesodermal component, is determined from the epiphyseal width and the upper arm and lower leg circumferences related to musculoskeletal mass. For example, the second element is calculated by multiplying the humerus epiphyseal width, femur epiphyseal width, modified upper arm circumference, and modified lower leg circumference by their respective weights and adding them, and then taking height into account. And, the grade of the third element, which is an ectomorphic factor, is determined from the ponderal index (PI) obtained based on height and weight. For example, the third element is calculated by multiplying by a first weight and subtracting a first reference value when the PI is 40.75 or higher, and by multiplying by a second weight and subtracting a second reference value when the PI is less than 40.75. The value obtained by subtracting the first element from the third element becomes the X coordinate value of the somatotype, and the value obtained by subtracting the sum of the first and third elements from twice the value of the second element becomes the Y coordinate value of the somatotype. Through this process, the body type number of the somatotype is obtained. As such, while the Somato body type classification method has several advantages in simply classifying constitutions based on body type, research and development regarding technologies utilizing this for body type management or health management is still minimal. The accompanying drawings, which are included as part of the detailed description to aid in understanding the present invention, provide embodiments of the present invention and, together with the detailed description, illustrate the technical concept of the present invention. Figure 1 is a somatograph to explain somatotype, a type of existing body type classification method. FIG. 2 is a bl