Body fat management system and management method

Abstract

The invention relates to a body fat management system, which comprises a nutrition scale, an APP and a body fat scale, the nutrition scale can calculate total calorie intake according to diet intake data and feed back the total calorie intake to the APP, the APP can collect user information and feed back the user information to the body fat scale, and the body fat scale can collect human body components and feed back the human body components to the APP in combination with the user information fed back by the APP. The APP can dynamically update a calorie intake target of each day according to the human body composition feedback information of the body fat scale and the calorie total intake feedback information of the nutrition scale and give a target intake early warning of each meal, and dynamic closed-loop management between diet intake and body metabolism feedback is realized through multi-source data acquisition, interaction and analysis, so that the management efficiency is improved. The invention further relates to a body fat management method applying the body fat management system.

Description

Technical Field

[0001] The present application relates to the technical field of health management, and specifically to the technical field of a body fat management system and management method. Background Art

[0002] Currently, most fat loss management systems on the market are based on the combination of hardware devices and mobile applications, mainly in the form of using nutrition scales with APP (Application) or using body fat scales with APP.

[0003] Among them, the system that combines a nutrition scale and an APP only focuses on the intake data of the diet input end, lacks effective means of evaluating the user's actual metabolic effects, and is difficult to dynamically adjust calorie intake recommendations based on body changes, resulting in a lack of a closed-loop feedback mechanism for fat loss plans, affecting long-term implementation effects.

[0004] On the other hand, although the management system with body fat scales and APP as the core can provide certain output data feedback, it essentially ignores the precise quantitative control of dietary input, and cannot scientifically guide users' calorie intake from the source. Fat loss suggestions often lack personalization and real-time nature.

[0005] In addition, although a few systems have attempted to integrate the functions of nutrition scales, body fat scales and APPs to achieve a summary display of multi-dimensional data, most of these systems remain at the simple stacking of data level and fail to deeply explore the intrinsic connection between dietary intake and body metabolism.

[0006] Therefore, there is a demand in the market for a fat loss management system that can deeply integrate dietary intake and body metabolic data and dynamically adjust them. Summary of the Invention

[0007] In response to the above needs, this application proposes a body fat management system and management method, which aims to dynamically associate dietary data with body fat changes by constructing a dynamic body fat management system consisting of a body fat scale, an APP, and a nutrition scale, and automatically adjust calorie intake recommendations based on individual fat loss effects to improve users' body fat management effects.

[0008] To achieve the above objectives, this application adopts the following technical solutions: In the first aspect, the present application proposes a body fat management system, including a nutrition scale, an APP, and a body fat scale; The nutritional scale can calculate the total calorie intake through the dietary intake data and feed it back to the APP; The APP can collect user information and feed it back to the body fat scale; The body fat scale can combine the user information fed back by the APP to collect human body composition and feed it back to the APP; The APP can dynamically update the daily calorie intake target based on the human body composition feedback information from the body fat scale and the total calorie intake feedback information from the nutrition scale and provide a target intake warning for each meal.

[0009] Thus, through the intelligent body fat management system of nutrition scales, body fat scales, and apps, a dynamic closed-loop management of dietary intake and metabolic feedback is achieved through multi-source data collection, interaction, and analysis. Compared to existing management methods that rely solely on a single data dimension or simple data stacking, this system, by establishing a complete closed-loop mechanism of "diet input-physical feedback-strategy adjustment," achieves dynamic optimization and real-time intervention of fat loss recommendations, effectively addressing the lack of feedback adjustment in traditional methods and improving the user's body fat management results.

[0010] In some possible implementations, the dietary intake data used by the nutrition scale to calculate total calorie intake includes food weight and food name.

[0011] In some possible implementations, the nutrition scale may obtain the food name through image recognition and / or voice input and / or code input and then query the nutritional components per unit weight based on database information.

[0012] In some possible implementations, the human body composition collected by the body fat scale includes basal metabolism, body fat mass, muscle mass, and body fat percentage.

[0013] In a second aspect, the present application proposes a body fat management method using the body fat management system described above, comprising the following steps: Step S1: The APP receives the personal information (height, gender, age) entered by the user; Step S2: The APP receives the user's body fat management target instruction; Step S3: The APP reminds the user to first measure the body composition using a body fat scale; Step S4: the APP obtains specific basic data of human body composition; Step S5: The APP calculates the recommended daily intake based on the basic data and target instructions; Step S6: The APP transmits the recommended daily intake to the nutrition scale and provides a recommended diet and exercise plan; Step S7: The nutrition scale measures the weight of the food and calculates the calorie intake and displays it to the user; Step S8: The APP updates the daily recommended intake based on the information regularly fed back by the user through the body fat scale and synchronizes it to the nutrition scale.

[0014] In some possible implementations, the body fat management target instruction includes a fat loss target instruction or a muscle gain target instruction.

[0015] In some possible implementations, step S2 includes: Step S21: Required, duration of the body fat management plan; Step S22: Select one of the target amount of body fat to be lost or the target amount of muscle to be gained; Step S23: Select one of the following exercise conditions: almost no exercise, exercise 1-3 times a week, exercise 3-5 times a week, or exercise 6-7 times a week.

[0016] In some possible implementations, step S5 includes: Step S51: Calculate the average daily calorie requirement based on the target instruction and basic data; Step S52: Calculate the daily consumption TDEE (Total Daily Energy Expenditure); Step S53: Calculate the recommended daily intake based on the daily TDEE and the daily calorie requirement difference.

[0017] In some possible implementations, the method for calculating the daily consumption TDEE in step 52 includes: Daily energy expenditure TDEE=basal metabolism*activity coefficient, wherein the activity coefficient is selected according to the optional exercise conditions.

[0018] In some possible implementations, step S8 includes: Step S81: The APP receives the user's measurement data fed back by the body fat scale; Step S82: The APP performs linear interpolation on the days without measurement based on the two data before and after use according to the time reported by the body fat scale in days; Step S83: performing Kalman filtering on the data in chronological order; Step S84: Use the result after Kalman filtering as a reference for the most recent body composition data to calculate and update the recommended daily intake and synchronize it to the nutrition scale. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is an overall schematic diagram of the body fat management system of this application; Figure 2 This is a flow chart of the body fat management method based on the body fat management system of this application; Figure 3 This is a flow chart of the body fat management target instructions set by the user in this application; Figure 4 This is a schematic diagram of the APP in this application calculating the recommended daily intake; Figure 5This is a flowchart of how the APP in this application updates the recommended daily intake; Figure 6 This is a schematic diagram of an example of applying the body fat management system and management method of the present application in fat loss; Figure 7 This is a schematic diagram of an application example of the body fat management system and management method of the present application in muscle building. DETAILED DESCRIPTION

[0020] The following examples further illustrate the features of the present application and other related features to facilitate understanding by those skilled in the art: It should be noted that the words "front", "rear", "left", "right", "up" and "down" used in the following description refer to directions in the accompanying drawings, and the words "bottom" and "top", "inside" and "outside" refer to directions toward or away from the geometric center of a specific component, respectively.

[0021] Furthermore, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be interpreted broadly. For example, they may refer to fixed connections, detachable connections, or integral connections; they may refer to direct connections, indirect connections through an intermediary, or internal connections between two components. A person of ordinary skill in the art will be able to understand the specific meanings of these terms in this case.

[0022] Please refer to Figure 1 The present application discloses a body fat management system, including a nutrition scale, an APP, and a body fat scale.

[0023] The Smart Nutrition Scale is a smart hardware device used in health management and weight control. It features high-precision weighing capabilities and integrates a food calorie database or nutritional analysis algorithm. Its core function is to accurately measure the mass of food consumed and quantitatively assess daily calorie intake based on calorie and nutrient content per unit weight. The device can wirelessly connect to an app for automatic data upload and recording, reducing the errors and inconvenience caused by traditional manual data entry.

[0024] A body composition scale is a smart weighing device that integrates bioelectrical impedance analysis (BIA) or other body composition detection technologies. It can measure multiple body parameters, including weight, body fat percentage, muscle mass, and basal metabolic rate. By integrating data with an app, the scale can track results and provide feedback during the fat loss process. However, bioelectrical impedance measurements are susceptible to fluctuations due to changes in body water content, so short-term fluctuations in body fat scale results are possible. This is one of the issues that this application aims to address.

[0025] As the core data processing and interaction platform of the system, the APP integrates functions such as user information collection, data analysis, visual display, and personalized suggestion generation. It can receive data input from nutrition scales and body fat scales, and can also make comprehensive judgments on the user's calorie intake and body change trends based on the set algorithm. Furthermore, the APP can also provide services such as calorie target setting, dietary warning prompts, and historical data analysis to help users achieve scientific and visual fat loss management. The APP can communicate with the nutrition scale and body fat scale via Bluetooth or WIFI. The communication method is a common technical means in the industry and will not be described in detail.

[0026] The nutrition scale of the present application can calculate the total calorie intake through dietary intake data and feed it back to the APP. Specifically, the dietary intake data used by the nutrition scale to calculate the total calorie intake includes food weight and food name. The method of obtaining the food name may include image recognition of the food itself, user's own voice input and code input. The code input can be a food label or a user-defined code. There is no specific limitation on this. It is mainly convenient to distinguish the food name in the form of code. After obtaining the food name, the nutritional components per unit weight of the food can be queried in the database, including information such as fat, carbohydrates, protein, etc. The database is a pre-set nutritional component per unit weight of food, which can be maintained and updated. It is a common technical means in the industry and will not be described in detail. Then, the total nutritional components of the total intake are calculated by multiplying the weight of the food on the nutrition scale by the nutritional components per unit weight of the food queried in the database. The total calorie intake is then calculated based on the different nutritional component distributions and fed back to the APP for further analysis and processing.

[0027] The app can collect user information and feed it back to the body fat scale. User information includes at least height, age, and gender. The body fat scale can combine the user information fed back by the app to collect body composition and feed it back to the app for further analysis. The collected body composition includes basal metabolism, body fat mass, muscle mass, and body fat percentage. In addition to the necessary body composition mentioned above, current body fat scale applications also include other components such as body water, bone mass, and visceral fat. Applications can be selected based on needs.

[0028] The app connects the nutrition scale and body fat scale. Based on the body composition information from the body fat scale and the total calorie intake information from the nutrition scale, the app dynamically updates daily calorie intake targets and provides target intake alerts for each meal. The nutrition scale displays the daily target intake and target intake alerts for each meal, reminding users to eat according to their meal plan.

[0029] In this way, through the intelligent body fat management system of nutrition scales, body fat scales, and APP, dynamic closed-loop management between dietary intake and body metabolic feedback can be achieved through multi-source data collection, interaction, and analysis.

[0030] Specifically, the body fat scale, combined with basic user information (such as age, gender, and height) transmitted by the app, can more accurately measure and analyze trends in body composition, thereby objectively evaluating fat loss effectiveness. Furthermore, the app, serving as the core control and data fusion center, integrates data from both dietary intake and physical condition. Based on the dynamic relationship between the two, it intelligently adjusts the user's daily calorie intake target and provides personalized intake warnings before each meal, helping users more effectively implement their fat loss plans.

[0031] Compared with the existing management methods that only rely on a single data dimension or simple data stacking, this system realizes dynamic optimization and real-time intervention of fat loss suggestions by constructing a complete closed-loop mechanism of "diet input-body feedback-strategy adjustment", effectively solving the lack of feedback adjustment in traditional methods and improving the user's body fat management effect.

[0032] Please refer to Figures 2 to 5 The following is a detailed description of the method for body fat management using the body fat management system of this application. Taking planned fat loss as an application example, the management method includes the following steps.

[0033] Step S1: The APP receives the personal information (height, gender, age) entered by the user.

[0034] Step S2: The APP receives the user's body fat management target instruction. The specific selectable body fat management target instructions include a fat loss target instruction or a muscle gain target instruction.

[0035] The specific implementation method may be: Step S21: the duration of the body fat management plan is mandatory, for example, in this embodiment, 30 days in one month is selected as a duration period; Step S22: Selecting one of the target body fat loss or target muscle gain, that is, selecting a target value based on the needs of fat loss or muscle gain as described above. In this embodiment, the fat loss target is selected; Step S23: Select one of the following exercise conditions: almost no exercise, exercise 1-3 times a week, exercise 3-5 times a week, or exercise 6-7 times a week. The exercise condition will affect TDEE (Total Daily Energy Expenditure).

[0036] Step S3: The APP reminds the user to first measure the body composition using a body fat scale.

[0037] Step S4: The APP obtains specific basic data of human body composition. For example, the user uses a body fat scale to complete the body composition measurement, and the APP obtains specific data (weight 90kg, fat mass 32.3kg, body fat rate 35.9%, basal metabolic rate 1617kcal).

[0038] Step S5: The APP calculates the recommended daily intake based on the basic data and the target instructions. One possible implementation method is as follows: Step S51: Calculate the average daily calorie difference based on the target instructions and the basic data; Step S52: Calculate daily consumption TDEE; Step S53: Calculate the recommended daily intake based on the daily TDEE and the daily calorie requirement difference.

[0039] Specifically, the method for calculating daily consumption TDEE includes: daily consumption TDEE=basal metabolism*activity coefficient, and the activity coefficient is selected according to the optional exercise conditions.

[0040] For example, based on the target plan (assuming the target plan is to lose 5kg of fat in 3 months and exercise 3 to 5 times a week), the app calculates that a calorie difference of 7700kcal is required for each kilogram of fat lost. To consume 5kg of fat, a calorie difference of 7700kcal *5 is required. Calculated as 30 days per month, the average daily calorie difference is 7700*5 / 90 ≈ 428kcal.

[0041] Calculate daily expenditure (TDEE): TDEE = basal metabolic rate * activity coefficient.

[0042] The activity coefficients are as follows: almost no exercise: 1.2, exercise 1-3 times a week: 1.375, exercise 3-5 times a week: 1.55, and exercise 6-7 times a week: 1.725. This coefficient is an applicable coefficient of one embodiment.

[0043] Therefore, the calculated TDEE = 1617 * 1.55 ≈ 2506kcal.

[0044] Recommended daily intake = TDEE – calorie deficit = 2506 – 428 = 2078kcal.

[0045] Step S6: The APP transmits the daily recommended intake to the nutrition scale and provides recommended recipes and recommended exercise plans.

[0046] Step S7: The nutrition scale measures the weight of the food and calculates the calorie intake and displays it to the user to ensure that the daily intake does not exceed the recommended intake.

[0047] Step S8: The APP updates the daily recommended intake based on the information regularly fed back by the user through the body fat scale and synchronizes it to the nutrition scale.

[0048] An implementable method includes step S81: an APP receives user measurement data fed back by a body fat scale; Step S82: The APP performs linear interpolation on the days without measurement based on the two data before and after use according to the time reported by the body fat scale in days; Step S83: performing Kalman filtering on the data in chronological order; Step S84: Use the result after Kalman filtering as a reference for the most recent body composition data to calculate and update the recommended daily intake and synchronize it to the nutrition scale.

[0049] For example, a user regularly uses a body fat scale to measure their body composition and feeds the results to the app. The app uses the data from the previous and next days based on the measurement time, using the data from both sides to perform linear interpolation for days without measurement, ensuring data is available every day. The app then applies a Kalman filter to the data in chronological order, obtaining the most recent Kalman filtered result. This Kalman filtered result serves as a reference for the most recent body composition data. For example, the app calculates the difference between the current fat mass and the target fat mass, updates the average daily calorie requirement based on the remaining time of the plan, and then uses the Kalman filtered basal metabolic rate to calculate TDEE. The app then updates the recommended daily intake and synchronizes it with the nutrition scale. This allows for dynamic adjustment of daily intake based on the user's actual situation.

[0050] Please refer to the application effect Figure 6 , showing several important parameters measured by a body fat scale during a user's three-month fat loss activity: the original measurement values ​​of basal metabolism, fat mass, and muscle mass, and the comparison of the curves after interpolation Kalman filtering. It can be seen that the results shown by the latter are more stable and reliable.

[0051] In other embodiments, if the user selects a muscle-building plan, increased intake is required. Assuming the user information is (weight 59 kg, fat mass 14 kg, body fat percentage 23.7%, basal metabolic rate 1338 kcal), the goal is to gain 5 kg of muscle within 3 months, and exercise 3 to 5 times a week. Based on the estimate that a calorie gap of 5500 kcal is required for each kilogram of muscle gain, the calorie gap required to gain 5 kg of muscle is 5500 kcal * 5. Calculated as 30 days per month, the average daily calorie gap required is 5500 * 5 / 90 ≈ 306 kcal.

[0052] Therefore, the calculated TDEE = 1338 * 1.55 ≈ 2074kcal.

[0053] Recommended intake = TDEE + calorie deficit = 2074 + 306 = 2380 kcal.

[0054] The user then uses a body fat scale to measure their body fat. The method for dynamically adjusting the recommended intake is the same as the method for adjusting the fat loss plan described above, so this will not be repeated here. Since the user in this embodiment is building muscle, they need to increase the proportion of strength training when formulating their exercise plan, and also increase the proportion of protein in their dietary intake to promote muscle growth.

[0055] Please refer to Figure 7 , showing several important parameters measured by a body fat scale during a user's three-month muscle-building activity: the original measured values ​​of basal metabolism, fat mass, and muscle mass, and the curve comparison after interpolation Kalman filtering. It can be seen that the results shown by the latter are more stable and reliable.

[0056] As mentioned above, this case protects a body fat management system and management method. All technical solutions that are identical or similar to those in this case should be deemed to fall within the scope of protection of this case.

Claims

1. A body fat management system, characterized in that: Including nutrition scale, APP, body fat scale; The nutritional scale can calculate the total calorie intake through the dietary intake data and feed it back to the APP; The APP can collect user information and feed it back to the body fat scale; The body fat scale can combine the user information fed back by the APP to collect human body composition and feed it back to the APP; The APP can dynamically update the daily calorie intake target based on the human body composition feedback information from the body fat scale and the total calorie intake feedback information from the nutrition scale and provide a target intake warning for each meal.

2. A body fat management system according to claim 1, characterized in that: The dietary intake data used by the nutrition scale to calculate total calorie intake includes food weight and food name.

3. A body fat management system according to claim 2, characterized in that: The nutrition scale can obtain the food name through image recognition and / or voice input and / or code input and then query the nutritional components per unit weight according to database information.

4. A body fat management system according to claim 1, characterized in that: The human body composition collected by the body fat scale includes basal metabolism, body fat mass, muscle mass, and body fat percentage.

5. A body fat management method, characterized in that: The body fat management system according to any one of claims 1 to 4 is characterized in that it includes the following steps: Step S1: APP receives personal information entered by the user; Step S2: The APP receives the user's body fat management target instruction; Step S3: The APP reminds the user to first measure the body composition using a body fat scale; Step S4: the APP obtains specific basic data of human body composition; Step S5: The APP calculates the recommended daily intake based on the basic data and target instructions; Step S6: The APP transmits the recommended daily intake to the nutrition scale and provides a recommended diet and exercise plan; Step S7: The nutrition scale measures the weight of the food and calculates the calorie intake and displays it to the user; Step S8: The APP updates the daily recommended intake based on the information regularly fed back by the user through the body fat scale and synchronizes it to the nutrition scale.

6. A body fat management method according to claim 5, characterized in that: The body fat management target instruction includes a fat loss target instruction or a muscle gain target instruction.

7. A body fat management method according to claim 6, characterized in that: The step S2 comprises: Step S21: Required, duration of the body fat management plan; Step S22: Select one of the target amount of body fat to be lost or the target amount of muscle to be gained; Step S23: Select one of the following exercise conditions: almost no exercise, exercise 1-3 times a week, exercise 3-5 times a week, or exercise 6-7 times a week.

8. A body fat management method according to claim 7, characterized in that: The step S5 comprises: Step S51: Calculate the average daily calorie requirement based on the target instruction and basic data; Step S52: Calculate daily consumption TDEE; Step S53: Calculate the recommended daily intake based on the daily TDEE and the daily calorie requirement difference.

9. A body fat management method according to claim 8, characterized in that: The method for calculating the daily consumption TDEE in step 52 includes: Daily energy expenditure TDEE=basal metabolism*activity coefficient, wherein the activity coefficient is selected according to the optional exercise conditions.

10. The method for body fat management according to claim 5, characterized in that: The step S8 comprises: Step S81: The APP receives the user's measurement data fed back by the body fat scale; Step S82: The APP performs linear interpolation on the days without measurement based on the two data before and after use according to the time reported by the body fat scale in days; Step S83: performing Kalman filtering on the data in chronological order; Step S84: Use the result after Kalman filtering as a reference for the most recent body composition data to calculate and update the recommended daily intake and synchronize it to the nutrition scale.

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