Customized health care system based on artificial intelligence

Abstract

The present invention relates to an AI-based customized health management system using a smart scale. In addition, the present invention provides a smart scale that measures body fat, heart rate, and blood pressure while measuring a user's weight, generates health information data by matching the measurement results with the user's identification information, and provides the generated health information data to an external server, and a health management server that is linked to the smart scale, which analyzes the user's health status and lifestyle habits using the health information data and an AI-based analysis model, sets personalized health goals using the analysis results and an AI-based proposal model, determines a health management solution for achieving health goals, and provides the health information to the smart scale or user terminal, thereby facilitating the user's weight management and helping to improve dietary habits, exercise habits, etc.

Description

Technology Field

[0001] The present invention relates to an AI-based customized health management system using a smart scale. Background Technology

[0002] Generally, the simplest way to check one's health status is to monitor changes in weight, and with the widespread availability of scales for this purpose, it is becoming a trend for every household to own one.

[0003] However, since conventional scales merely display the user's weight as a number, most users must manage their health by checking their weight and then going to a gym for individual training, or by personally collecting information on lifestyle improvements, dietary methods, and medical treatments.

[0004] As a result, it is difficult to plan a suitable health management solution for users, and too much time and money is consumed in health management. Additionally, there is a problem of failure in continuous health management due to a decline in user motivation.

[0005] Meanwhile, the technology forming the background of the present invention is disclosed in Korean Patent Publication No. 10-2014-0095610. Prior art literature

[0006] Published Patent Application No. 10-2014-0095610 (August 4, 2014) The problem to be solved

[0007] The present invention has been devised in consideration of the aforementioned problems, and aims to provide an AI-based customized health management system that uses a smart scale to measure a user's weight, analyze lifestyle habits, and provide health management solutions.

[0008] The objectives of the present invention are not limited to those mentioned above, and other unmentioned objectives will be clearly understood by those skilled in the art from the description below. means of solving the problem

[0009] The present invention, for achieving the above-mentioned purpose, provides an AI-based customized health management system comprising: a smart scale that measures body fat, heart rate, and blood pressure while measuring a user's weight, generates health information data by matching the measurement results with the user's identification information, and provides the generated health information data to an external server; and a health management server that is an external server linked to the smart scale, which analyzes the user's health status and lifestyle habits using the health information data and an AI-based analysis model, sets personalized health goals using the analysis results and an AI-based proposal model, determines a health management solution for achieving the health goals, and provides the solution to the smart scale or the user terminal.

[0010] In a preferred embodiment, the AI-based analysis model includes a health status analysis model and a lifestyle analysis model, and the health management server includes: a health information collection unit that communicates with the smart scale to collect health information data and stores the collected health information data divided by user; a weight change analysis unit that generates a weight change pattern using weight data included in the health information data and analyzes the user's health status by applying the weight change pattern to the health status analysis model; and a lifestyle analysis unit that generates a bio-information change pattern using body fat, heart rate, and blood pressure data included in the health information data and analyzes the user's lifestyle by applying the bio-information change pattern to the lifestyle analysis model.

[0011] In a preferred embodiment, the AI-based proposal model includes a health goal proposal model and a solution proposal model, and the health management server further includes a health goal setting unit that applies an analysis result of the health status to the health goal proposal model to analyze a target value of the health status that can be improved within a reference period, and sets a health goal based on the analyzed target value.

[0012] In a preferred embodiment, the health management server further includes a health management solution providing unit that applies the analysis results of lifestyle habits and health goals to the solution proposal model to analyze recommended diets, recommended exercises, and recommended lifestyle habits that have a positive influence on the achievement of health goals, and provides a health management solution based on the analysis results.

[0013] In a preferred embodiment, the smart scale comprises: a weight measuring unit having a load cell for measuring weight; a body fat measuring unit having one or more electrodes or electro-biosensors for measuring body fat; a heart rate measuring unit having an optical sensor for measuring heart rate; and a blood pressure measuring unit measuring blood pressure using a pulse waveform measured by the optical sensor. Effects of the invention

[0014] By means of the aforementioned problem-solving means, the present invention has the effect of facilitating weight management for the user while simultaneously helping to improve dietary habits, exercise habits, etc. Brief explanation of the drawing

[0015] FIG. 1 is a drawing of an AI-based customized healthcare system according to the present invention. FIG. 2 is a block diagram of a smart scale according to the present invention. FIG. 3 is a block diagram of a health management server according to the present invention. Specific details for implementing the invention

[0016] In the following description, specific details of the invention are provided to provide an overall understanding of the invention, but it will be obvious to those skilled in the art that the invention can be easily practiced without these specific details and by variations thereof.

[0017] Hereinafter, preferred embodiments according to the present invention will be described in detail with reference to the attached FIGS. 1 to 3, focusing on the parts necessary to understand the operation and function according to the present invention.

[0019] FIG. 1 is a drawing of an AI-based customized health management system according to the present invention, FIG. 2 is a block diagram of a smart scale according to the present invention, and FIG. 3 is a block diagram of a health management server according to the present invention.

[0020] Referring to FIGS. 1 to 3, an AI-based customized health management system (100) according to one embodiment of the present invention may be configured to include a smart scale (110) and a health management server (120).

[0021] The AI-based customized health management system (100) according to one embodiment of the present invention can collect the user's weight, body fat, heart rate, blood pressure, etc., in real time and provide the most suitable customized health management solution to the user through AI-based analysis.

[0022] The smart scale (110) measures the user's weight, body fat, heart rate, and blood pressure, generates health information data by matching the measurement results with the user's identification information, and provides the generated health information data to an external server.

[0023] Such a smart scale (110) may be configured to include a weight measuring unit (111), a body fat measuring unit (112), a heart rate measuring unit (113), a blood pressure measuring unit (114), a control unit (115), and a communication unit (116), and the aforementioned components may be mounted on the inside or outside surface of a main body forming a predetermined appearance.

[0024] The above weight measuring unit (111) is equipped with a load cell to measure the user's weight and provides the measured weight value to the control unit (115).

[0025] The above body fat measuring unit (112) measures the user's body fat and provides the measured value of the body fat to the control unit (115). The body fat measuring unit (112) may be equipped with one or more electrodes or electrical biosensors and may be formed on the outer surface of the main body to contact the user's foot, and may measure body composition, body water content, and body fat, etc. based on bioelectrical impedance analysis (BIA).

[0026] The heart rate measuring unit (113) is equipped with an optical sensor to measure the user's heart rate and provide the measured heart rate value to the control unit (115). This heart rate measuring unit (113) is formed on the outer surface of the main body to shine light on the sole of the user's foot and can measure the heart rate by detecting the amount of reflected light or the degree of absorption, but is not limited thereto.

[0027] The above blood pressure measuring unit (114) measures the user's blood pressure using a pulse waveform measured by an optical sensor and provides the blood pressure measurement value to the control unit (115). The blood pressure measuring unit (114) may be formed integrally with the heart rate measuring unit (113) and may be provided in a form that shares the same optical sensor, or it may be provided with a separate optical sensor for blood pressure measurement.

[0028] The control unit (115) may be equipped with one or more processors and may control the overall operation of the smart scale (110) and perform various data processing or calculations. The control unit (115) may generate health information data by matching the measurement results of the user's weight, body fat, heart rate, and blood pressure with the user's identification information.

[0029] At this time, the aforementioned identification information is information regarding an ID, name, or unique code representing a user, and can be used to register the identification information through a user terminal (10) including a smartphone or a health management server (120), or by providing a separate input device.

[0030] The above communication unit (116) may include one or more components that enable communication with the health management server (120), and may transmit health information data generated by the processor to an external server, i.e., the health management server (120).

[0031] In addition, the smart scale (110) may further include a display device that displays measurement results or information about a health management solution provided by a health management server (120).

[0032] The above health management server (120) is an external server linked with the smart scale (110), and preferably may be a cloud server, but is not limited thereto.

[0033] In addition, the health management server (120) provides lifestyle analysis and health management solutions based on health information data measured by the smart scale (110).

[0034] That is, the health management server (120) analyzes the user's health status and lifestyle habits using health information data and an AI-based analysis model, and sets personalized health goals using the analysis results and an AI-based proposal model, and determines a health management solution for achieving the health goals and provides it to the smart scale (110) or user terminal (10).

[0035] Here, the aforementioned AI-based analysis model may include a health status analysis model trained in advance for the analysis of health status and a lifestyle analysis model trained in advance for the analysis of lifestyle habits, and the aforementioned AI-based proposal model may include a health goal proposal model trained in advance for the setting of health goals and a solution proposal model trained in advance for the proposal of health management solutions.

[0036] Such a health management server (120) may be configured to include a health information collection unit (121), a weight change analysis unit (122), a lifestyle analysis unit (123), a health goal setting unit (124), and a health management solution provision unit (125).

[0037] In addition, the health management server (120) may further include one or more processors, a memory for storing one or more instructions executable by the processor or programs executed by the processor, and a communication module for communication with the smart scale (110).

[0038] The above health information collection unit (121) communicates with the smart scale (110) to collect health information data and stores the collected health information data by dividing it by user.

[0039] This health information collection unit (121) accumulates and stores health information data for each user, thereby enabling it to be used for the purpose of analyzing health status and lifestyle habits, setting health goals, and providing health management solutions.

[0040] The above weight change analysis unit (122) generates a weight change pattern using weight data included in health information data and analyzes the user's health condition by applying the weight change pattern to a health condition analysis model.

[0041] In this health status analysis model of the weight change analysis unit (122), the user's weight can be analyzed using the weight change pattern to determine whether the user's weight is within the normal range, or is obese or underweight, and whether the amount of weight change is normal or abnormal, thereby analyzing whether the health status is good or if there are risk factors.

[0042] The above lifestyle analysis unit (123) generates a bio-information change pattern using data of body fat, heart rate, and blood pressure included in health information data, and analyzes the user's lifestyle by applying the bio-information change pattern to a lifestyle analysis model.

[0043] In this lifestyle analysis model of the lifestyle analysis unit (123), the user's body fat, heart rate, and blood pressure are analyzed to be within a normal range or to have risk factors by utilizing the bio-information change pattern, and based on learning data regarding lifestyle habits that affect body fat, lifestyle habits that affect heart rate, and lifestyle habits that affect blood pressure, lifestyle habits that increase or have a negative effect on the user's body fat, heart rate, and blood pressure, and lifestyle habits that have a positive effect.

[0044] The above health goal setting unit (124) applies the analysis results of the health status to the health goal proposal model to analyze the target value of the health status that can be improved within a standard period, and sets a health goal based on the analyzed target value.

[0045] In this health goal setting unit (124), a certain period may be predefined as a standard period, and the health goal proposal model can analyze the target value of the health status based on learning data learned during the standard period, such as the degree of increase or decrease in weight.

[0046] The above-mentioned health management solution provider (125) applies the analysis results of lifestyle habits and health goals to the solution proposal model to analyze recommended diet, recommended exercise and recommended lifestyle habits that have a positive effect on achieving health goals, and provides a health management solution based on the analysis results.

[0047] The solution proposal model of the health management solution provider (125) can generate a health management solution by analyzing recommended diet, recommended exercise, and recommended lifestyle habits that are most suitable for the user's current health condition and make it easier to achieve health goals, based on learning data regarding diet, exercise, and lifestyle habits.

[0048] Additionally, when a health management solution is generated, the health management solution provider (125) can provide it to a smart scale (110) or a user terminal (10), and at this time, it may also provide a warning about risk factors of the health condition.

[0049] The AI-based customized health management system (100) according to one embodiment of the present invention can facilitate weight management for the user and help improve eating habits, exercise habits, etc.

[0050] Although preferred embodiments of the present invention have been described illustratively above, the scope of the present invention is not limited to such specific embodiments and can be appropriately modified within the scope described in the claims. Explanation of the symbols

[0051] 100: AI-based personalized healthcare system 110 : Smart Scale 111 : Weight measuring section 112: Body fat measurement unit 113: Heart rate measurement unit 114: Blood pressure measurement unit 115 : Control unit 116 : Communications Department 120 : Health Server 121 : Health Information Collection Department 122 : Weight Change Analysis Section 123 : Lifestyle Analysis Department 124 : Health Goal Setting Section 125 : Healthcare Solution Provider

Claims

Claim 1 An AI-based customized health management system comprising: a smart scale that measures body fat, heart rate, and blood pressure while measuring a user's weight, generates health information data by matching the measurement results with the user's identification information, and provides the generated health information data to an external server; and a health management server that is an external server linked to the smart scale, which analyzes the user's health status and lifestyle habits using the health information data and an AI-based analysis model, sets personalized health goals using the analysis results and an AI-based proposal model, determines a health management solution for achieving the health goals, and provides it to the smart scale or user terminal. Claim 2 In claim 1, the AI-based analysis model includes a health status analysis model and a lifestyle analysis model, and the health management server comprises: a health information collection unit that communicates with the smart scale to collect health information data and stores the collected health information data divided by user; a weight change analysis unit that generates a weight change pattern using weight data included in the health information data and analyzes the user's health status by applying the weight change pattern to the health status analysis model; and a lifestyle analysis unit that generates a bio-information change pattern using body fat, heart rate, and blood pressure data included in the health information data and analyzes the user's lifestyle by applying the bio-information change pattern to the lifestyle analysis model; characterized by an AI-based customized health management system. Claim 3 The AI-based customized health management system according to claim 1, wherein the AI-based proposal model includes a health goal proposal model and a solution proposal model, and the health management server further includes a health goal setting unit that applies an analysis result of the health status to the health goal proposal model to analyze a target value of the health status that can be improved within a reference period, and sets a health goal based on the analyzed target value. Claim 4 In claim 3, the AI-based customized health management system is further characterized by comprising: a health management solution providing unit in which the health management server applies the analysis results regarding lifestyle habits and health goals to the solution proposal model to analyze recommended diets, recommended exercises, and recommended lifestyle habits that have a positive influence on the achievement of health goals, and provides a health management solution based on the analysis results. Claim 5 In claim 1, the smart scale comprises: a weight measuring unit equipped with a load cell for measuring weight; a body fat measuring unit equipped with one or more electrodes or electro-biosensors for measuring body fat; a heart rate measuring unit equipped with an optical sensor for measuring heart rate; and a blood pressure measuring unit for measuring blood pressure using a pulse waveform measured by the optical sensor; characterized in that it is an AI-based customized health management system.

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