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KR-20260063985-A - AI-BASED DIETARY HABIT MANAGEMENT SOLUTION PROVIDER SYSTEM

KR20260063985AKR 20260063985 AKR20260063985 AKR 20260063985AKR-20260063985-A

Abstract

The present invention discloses an AI-based dietary habit management solution providing system that analyzes a user's health status to provide coaching information and recommends a customized diet according to the user's needs and conditions, comprising: a smart terminal (110) that receives and provides health-related information from a user, takes a picture of a general food or processed food to provide food photo information, receives and generates meal time information by receiving the time of meal consumption of the food; a smart heart rate monitor (120) that measures an electrocardiogram from a user and provides electrocardiogram information; an analysis unit (130) that, based on AI, recognizes food photo information to identify the food, analyzes nutrition-related information to store a diet record, and analyzes health-related information and electrocardiogram information to provide cardiovascular disease information; and a solution providing unit (140) that generates and provides customized diet coaching information that matches healthcare information, nutrition-related information, excess or deficiency nutrition information corresponding to health-related information, and health-related information or a user's health goal pre-set by the smart terminal (110), based on health-related information and electrocardiogram information, and provides the customized diet coaching information to the smart terminal (110).

Inventors

  • 김경민

Assignees

  • 김경민

Dates

Publication Date
20260507
Application Date
20241031

Claims (9)

  1. A smart terminal that receives and provides health-related information from a user, takes a photo of a general or processed food to provide food photo information, and receives the time of consumption of the food from the user to generate meal time information; A smart heart rate monitor that measures an electrocardiogram from a user and provides electrocardiogram information; An analysis unit based on AI that recognizes the food photo information to identify the food, analyzes nutrition-related information to store a diet record, and analyzes the health-related information and electrocardiogram information to provide cardiovascular disease information; and A solution providing unit comprising: healthcare information matched based on the above health-related information and the above electrocardiogram information; the above nutrition-related information; nutrition information regarding excess or deficiency corresponding to the above health-related information; and customized diet coaching information corresponding to the user's health goals preset by the above health-related information or the smart terminal, and providing such information to the smart terminal. AI-based dietary management solution provision system.
  2. In Article 1, The above analysis unit is, A nutrition analysis module that recognizes the above food photo information, classifies and analyzes it by individual food ingredients, analyzes the nutritional components of each food ingredient, calories by nutritional component and total calories, and the recommended daily intake of the corresponding nutritional component to generate the above nutrition-related information, and Characterized by being composed of a cardiovascular disease prediction module that predicts the likelihood of cardiovascular disease by outputting cardiovascular disease based on the user's age, gender, height, weight, obesity status, health condition, presence of chronic disease, allergic reaction, and electrocardiogram information of the health-related information, using a pre-established cardiovascular disease prediction model. AI-based dietary management solution provision system.
  3. In Article 2, The above nutrition analysis module is characterized by generating nutrition-related information by quantitatively evaluating the health impact of the food components and food additives of the above general food or the above processed food in terms of cautionary ingredients, nutritional components, food additives, organic status, country of origin, and issues. AI-based dietary management solution provision system.
  4. In Paragraph 3, The above nutrition analysis module is characterized by reflecting the above health-related information and evaluating the above health impact differently for each user. AI-based dietary management solution provision system.
  5. In Article 2, The above solution provider is, A healthcare provision module that matches and provides the healthcare information of recommended exercises, recommended foods, and recommended health foods based on the possibility of cardiovascular disease predicted from the above health-related information and the above electrocardiogram information, and A nutrition information providing module that provides nutrition coaching information including cautionary ingredients, nutritional components, and information on excess or deficiency of nutrients corresponding to the above nutrition-related information and the above health-related information, and Characterized by being composed of a diet coaching module that recommends and provides the above-mentioned customized diet coaching information by means of an AI-based diet recommendation algorithm, AI-based dietary management solution provision system.
  6. In Article 5, The above diet coaching module is characterized by recommending health and nutritional foods that replace the above general foods or above processed foods corresponding to the above nutrition coaching information. AI-based dietary management solution provision system.
  7. In Article 5, The above diet coaching module is, Characterized by learning learning data corresponding to input information transmitted from the smart terminal, which is built in advance as big data, such as the user's age, gender, health status, chronic disease and allergy status, diet information, exercise information, and mealtime information transmitted from the smart heart rate monitor, and electrocardiogram information transmitted from the smart heart rate monitor, and output information corresponding to customized diet coaching information based on the input information, and through a pre-built AI-based diet recommendation algorithm, outputting and providing the customized diet coaching information using the input information transmitted from the smart terminal and the smart heart rate monitor as input. AI-based dietary management solution provision system.
  8. In Article 7, The above AI-based diet recommendation algorithm is, query embeddings and word embeddings that respectively convert the above input information into meaningful embedding vectors, and A set of functions that integrates the above embedding vectors into a single vector, and A ReLU activation function that enhances the non-linearity information of the above single vector, and A softmax function that calculates probabilities for multiple classes of recommended targets corresponding to the above-mentioned customized diet coaching information, and Characterized by being composed of an approx. top N index that extracts the top N recommended targets and outputs the above customized diet coaching information, AI-based dietary management solution provision system.
  9. In Article 1, The above solution providing unit further comprises a location providing module that, in conjunction with the above healthcare information and the above health-related information, provides location information regarding a fitness center belonging to an activity area within a specific distance of the user, a place of sale of the food corresponding to the above customized diet coaching information, a place of sale of food ingredients used for the food, and a medical institution associated with the above cardiovascular disease information. AI-based dietary management solution provision system.

Description

AI-based Dietary Habit Management Solution Provider System The present invention relates to an AI-based dietary habit management solution providing system that analyzes a user's health status to provide coaching information and recommends a customized diet according to the user's needs and condition. Typically, various services and related technologies that recommend restaurants, cafes, or bars to individuals are being applied. Meanwhile, as prior art related thereto, Korean Published Patent Application No. 10-2019-0104487 is disclosed. The conventional artificial intelligence-based food recommendation method and apparatus based on user state comprises the steps of: obtaining at least one usage information from a mobile terminal and an external terminal connected to the mobile terminal; applying the usage information to a first ANN model that has been pre-trained; determining the user state based on the output value of the first ANN model; and determining the user's preferred food based on the user state information. The user state is determined by including at least one of an emotional state or a health state, and food is recommended according to the result of the determination. However, since current methods are limited to determining a user's food preferences based on simple emotional or health states, there is a need for technology that can recommend more personalized diets by reflecting various health conditions, including the user's electrocardiogram, and dietary information, while eliminating the inconvenience of having to manually record the diet. Figure 1 illustrates a configuration diagram of an AI-based dietary habit management solution providing system according to an embodiment of the present invention. Figure 2 illustrates an implementation diagram of the AI-based dietary habit management solution providing system of Figure 1. Figure 3 illustrates the service architecture of the AI-based dietary management solution provision system of Figure 1. Figure 4 illustrates an example of an AI-based diet recommendation algorithm of the AI-based dietary management solution providing system of Figure 1. Hereinafter, embodiments of the present invention having the aforementioned features will be described in more detail with reference to the attached drawings. The AI-based dietary management solution providing system according to an embodiment of the present invention comprises: a smart terminal (110) that receives and provides health-related information from a user, takes a picture of a general food or processed food to provide food photo information, and receives the time of meal consumption of the food to generate meal time information; a smart heart rate monitor (120) that measures an electrocardiogram from a user and provides electrocardiogram information; an analysis unit (130) that, based on AI, recognizes food photo information, identifies the food, analyzes nutrition-related information to store a diet record, and analyzes health-related information and electrocardiogram information to provide cardiovascular disease information; and a solution providing unit (140) that generates and provides customized diet coaching information to the smart terminal (110), matching healthcare information, nutrition-related information, excess or deficiency nutrition information corresponding to health-related information, and health-related information or a user's health goal pre-set by the smart terminal (110), based on health-related information and electrocardiogram information, and provides coaching information by analyzing the user's health status and recommending a customized diet according to the user's needs and condition. Hereinafter, with reference to the drawings, the AI-based dietary habit management solution providing system with the aforementioned configuration will be described in detail as follows. First, the smart terminal (110), with reference to FIGS. 1 and 2, receives health-related information from the user and provides it to the analysis unit (130), takes a picture of a general food or processed food and provides the food photo information to the analysis unit (130), and receives the time of consumption of the food and generates meal time information. For example, the smart terminal (110) can photograph the food itself or photograph food information printed on the food and provide it. Next, the smart heart rate monitor (120), referring to FIGS. 1 and FIGS. 2, measures an electrocardiogram from a user and provides electrocardiogram information including a heart rate record along with a daily exercise record to the analysis unit (130). For example, the smart heart rate monitor (120) can measure standard limb leads, unipolar limb leads, or precordial leads, and can measure a standard 12-lead electrocardiogram, a 6-lead limb electrocardiogram of (aVL, I, aVR, II, VF, III), or a single-lead electrocardiogram of (I, II). Additionally, as illustrated in FIG. 2, the smart heart rate monitor (120) ma