WO2017045293A1 - Human body feature data-based diet control system and method for chronic disease patient - Google Patents

Abstract

The present invention is applicable in a terminal device integrated on a personal item carried by a chronic disease patient. Disclosed are a human body feature data-based diet control system and method for the chronic disease patient. The method comprises the steps of: acquiring body feature information of a patient from a body feature database of a cloud health service platform via a communication unit to determine a patient type; capturing an image of a food item being consumed by the patient via a camera unit and identifying food feature data; matching food ingredients from a recipe database of the cloud health service platform on the basis of the food feature data; determining whether or not the food item being consumed by the patient is a prohibited food item on the basis of the patient type and the food ingredients; insofar as the food item being consumed by the patient is a prohibited food item, projecting an image for reducing the appetite of the chronic disease patient onto the surface of the current food item via a projecting unit to undermine the appetite of the patient of consuming the prohibited food item. The present invention is capable of automatically identifying prohibited food items for the patient when the chronic disease patient is eating and automatically controlling and prohibiting the patient from consuming any prohibited food item.

Description

 Diet control system and method for chronic disease patients based on human body characteristic data

Technical field

The invention relates to the field of life health management, in particular to a diet control system and method for chronic disease patients based on human body characteristic data.

Background technique

In the field of health management techniques for chronically ill patients, doctors usually collect health data from patients with chronic diseases, analyze them based on these data, and then provide health guidance to patients with chronic diseases based on the results of the analysis, including guiding patients to banned food forbidden. For example, in the management of diabetes health, it is necessary to periodically record and record the patient's analyte sugar level (usually blood sugar) and the patient's eating information, and guide the patient's healthy diet according to the influence of the eating condition on the blood sugar level. However, due to the variety of people's diets nowadays, it is difficult for chronically ill patients to distinguish between taboo foods and to reduce or ban taboo foods according to their own wishes. In addition, some patients are not willing to control themselves, and often need family members or doctors to remind or intervene to control as little as possible contraindications. Even some patients have poor executive power, and rarely strictly control the contraindications according to the doctor's advice. When patients eat taboo foods, it will delay the treatment cycle of the disease, and even worsen the deterioration of the disease, resulting in the failure to achieve the desired effect on chronic disease treatment.

In the process of eating chronically ill patients, the current dietary methods of patients cannot automatically identify the contraindications of the patients and cause the patients to eat foods that are contraindicated. In the diet management of chronically ill patients, it is currently a way for chronically ill patients to self-control according to the doctor's doctor's advice or family assistance to remind them to intervene manually. There is no automatic control system and method for the diet of chronically ill patients. Efficiently guide the healthy diet of chronically ill patients to achieve the effect of doctors on chronic disease treatment.

Summary of the invention

The main object of the present invention is to provide a diet control system and method for chronic disease patients based on human body characteristic data, which aims to solve the problem that the chronic disease patients cannot automatically recognize the taboo food of the chronic disease patient and automatically control the chronic disease patients. The problem of eating taboo food.

In order to achieve the above object, the present invention provides a diet control system for a chronically ill patient based on human body characteristic data, which is applied to a terminal device integrated on a carry-on article of a chronically ill patient, the terminal device being set in a chronic disease through a communication network The hospital's cloud health service platform is used for wireless communication. The chronic disease patient diet control system includes:

a vital sign data obtaining module, configured to obtain, by the communication unit of the terminal device, the vital sign information of the chronic disease patient from the vital sign database of the cloud health service platform, and determine the type of the disease of the chronic disease patient according to the physical sign information;

a food identification module, configured to: capture, by the camera unit of the terminal device, a food image currently eaten by the chronically ill patient, and identify the food feature data by analyzing pixel values of the food image, according to the food feature data from the cloud health The food database of the service platform matches the food component of the current food, and determines whether the current food consumed by the chronic disease patient is a contraindication food according to the type of the disease and the food component;

a diet intervention module, configured to obtain an image of reducing appetite of a chronically ill patient from a memory of the terminal device when the current food consumed by the chronically ill patient is a contraindication food, and to image the image through a projection unit of the terminal device Projected onto the surface of current foods to undermine the appetite of chronically ill patients who consume taboo food.

Preferably, the chronic disease patient diet control system further comprises a voice prompting module, wherein the voice prompting module is configured to prompt the chronically ill patient by the speaker of the terminal device when the current food of the chronic disease patient is not taboo food Feel free to eat current food.

Preferably, the identifying the food feature data by parsing the pixel value of the food image comprises:

Set the pixel value corresponding to each food image;

Correlating each pixel value with the feature data of the food to establish a food sample library, and storing the food sample bank in a memory;

When the food image is acquired, the pixel value of the food image is parsed from the food image, and the food feature data is matched in the food sample library according to the pixel value of the food image.

Preferably, the image of reducing appetite in a chronically ill patient is an image that affects the appetite of a chronically ill patient who consumes taboo food.

Preferably, the vital sign data of the chronic disease patient includes blood glucose concentration of the diabetic patient, blood pressure value of the hypertensive patient, heart rate of the heart disease patient, and obesity index data of the obese patient.

In order to achieve the above object of the present invention, the present invention also provides a diet control method for a chronically ill patient based on human body characteristic data, which is applied to a terminal device integrated on a carry-on article of a chronically ill patient, the terminal device through a communication network and setting Wireless communication is performed at the cloud health service platform of the chronic disease treatment hospital, and the method includes the steps of:

Obtaining, by the communication unit of the terminal device, the vital sign information of the chronic disease patient from the vital sign database of the cloud health service platform, and determining the type of the disease of the chronic disease patient according to the physical sign information;

Obtaining, by the camera unit of the terminal device, a food image currently eaten by the chronic disease patient, and identifying the food feature data by analyzing pixel values of the food image;

Matching food components of the current food from the recipe database of the cloud health service platform according to the food characteristic data;

Determining whether the current food consumed by the chronically ill patient is a contraindication food according to the type of the disease and the food component;

When the current food eaten by the chronically ill patient is a contraindication food, an image of reducing the appetite of the chronically ill patient is obtained from the memory of the terminal device, and the image is projected onto the surface of the current food through the projection unit of the terminal device Come up to destroy the appetite of chronically ill patients who eat taboo food.

Preferably, the diet control method for the chronic disease patient based on the human body characteristic data further comprises the step of: when the current food eaten by the chronic disease patient is not a contraindication food, the voice of the terminal device is used to prompt the chronic disease patient to eat the current food safely. .

Preferably, the step of identifying food feature data by parsing pixel values of the food image comprises:

Set the pixel value corresponding to each food image;

Correlating each pixel value with the feature data of the food to establish a food sample library, and storing the food sample bank in a memory;

When the food image is acquired, the pixel value of the food image is parsed from the food image, and the food feature data is matched in the food sample library according to the pixel value of the food image.

Preferably, the image of reducing appetite in a chronically ill patient is an image that affects the appetite of a chronically ill patient who consumes taboo food.

Preferably, the vital sign data of the chronic disease patient includes blood glucose concentration of the diabetic patient, blood pressure value of the hypertensive patient, heart rate of the heart disease patient, and obesity index data of the obese patient.

Compared with the prior art, the diet control system and method for chronic disease patients based on human body characteristic data of the present invention adopts the above technical solutions, and achieves the following technical effects: the present invention is convenient by the cloud health service platform from the chronic disease treatment hospital Efficiently obtain the vital signs of chronically ill patients and collect the food images of chronically ill patients during eating, and can automatically identify the contraindications of chronically ill patients when they are eating and automatically control the chronic disease patients to ban the consumption of contraindication foods. It is more convenient and efficient to guide the healthy diet of chronically ill patients to meet the doctor's effect on chronic disease treatment.

DRAWINGS

1 is a schematic diagram of an application environment of a preferred embodiment of a diet control system for a chronically ill patient based on human body characteristic data;

2 is a schematic diagram showing contraindication foods and food components of a common chronic disease type recorded in a recipe database of a cloud health service platform in a diet control system for chronic disease patients based on human body characteristic data;

3 is a functional block diagram of a preferred embodiment of a diet control system for a chronically ill patient based on human body characteristic data;

4 is a flow chart of a preferred embodiment of a diet control method for a chronically ill patient based on human body characteristic data according to the present invention.

The implementation, functional features, and advantages of the present invention will be further described in conjunction with the embodiments.

detailed description

The specific embodiments, structures, features and functions of the present invention are described in detail below with reference to the accompanying drawings and preferred embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

As shown in FIG. 1, FIG. 1 is a schematic diagram of an application environment of a preferred embodiment of a diet control system for a chronically ill patient based on human body characteristic data according to the present invention. In the present embodiment, the chronic disease patient diet control system 10 is installed and operated on the terminal device 1. When the terminal device 1 is not turned on, the terminal device 1 is in a sleep state, which is a low-radiation, low-power, non-working mode, and thus does not bring extra health to the chronically ill patients. influences. The terminal device 1 is a miniaturized terminal electronic device, which can be integrated into the personal belongings of the chronically ill patients, including but not limited to glasses, hats, watches, badges and the like which are used daily by the chronically ill patients. The terminal device 1 can be integrated on a dedicated wristwatch, mobile handset or personal digital processing (PDA) device. In this embodiment, the terminal device 1 performs wireless communication with the cloud health service platform 2 installed in the chronic disease treatment hospital through the communication network 3. The communication network 3 is a remote wireless communication network, including but not limited to a wireless transmission network such as a GSM network, a GPRS network, or a CDMA.

In the present embodiment, the terminal device 1 includes, but is not limited to, a chronic disease patient diet control system 10, an imaging unit 11, a projection unit 12, a speaker 13, a communication unit 14, a microprocessor 15, and a memory 16. The camera unit 11, the projection unit 12, the speaker 13, the communication unit 14, and the memory 16 are electrically connected to the microprocessor 15, respectively, and are each capable of passing through the microprocessor 15 and the chronic disease patient diet control system 10. Perform data interaction.

The chronic disease patient diet control system 10 is capable of being executed by the microprocessor 15 and is capable of performing a series of program instruction segments of a fixed function, which are stored in the memory 16. The camera unit 11 is included as a small camera for taking food images of a chronically ill patient when eating. The projection unit 12 is a small-sized image projector for projecting an image reducing the appetite of a chronically ill patient to a contraindication food of a chronically ill patient when the food consumed by the chronically ill patient is a contraindication food. The speaker 13 is a woofer for playing in a voice form when the food that the chronic disease patient is currently eating is not a contraindication food, to prompt the chronically ill patient to eat the food currently eaten with confidence. The communication unit 14 is a communication interface for receiving the vital sign data of the chronic disease patient and the component information of the food sent by the cloud health service platform 2. The microprocessor 15 may be a microcontroller (MCU), a data processing chip, or an information processing unit having a data processing function for executing the chronic disease patient diet control system 10 to complete the feeding of the chronically ill patient. Automatic control function. The memory 16 may be a read only memory ROM, an electrically erasable memory EEPROM, or a flash memory FLASH, etc., for storing program instructions and one or more pieces constituting the chronic disease patient diet control system 10. An image used to reduce appetite in chronically ill patients. The image of reducing the appetite of a chronically ill patient includes, but is not limited to, a caterpillar image or an impurity image that affects the appetite of the chronically ill patient.

The cloud health service platform 2 can be a file server or a computing server or the like, which includes a vitals database 21 and a recipe database 22. The vital sign database 21 records vital sign data of a chronically ill patient, and the physical data includes, but is not limited to, blood glucose concentration of a diabetic patient, blood pressure value of a hypertensive patient, heart rate of a heart disease patient, obesity index data of an obese patient, and the like. When the chronic disease patient visits the hospital, the doctor collects the vital sign data corresponding to the chronic disease type from the chronic disease patient, and records the vital sign data in the vital sign database 21. The recipe database 22 records contraindications of various chronic disease types as well as the main components of the food. The recipe database 22 of the present invention can be interfaced with all chronic disease types and recipe big data platforms via the network, so that the taboo food and food components of the common chronic disease type can be directly obtained.

Referring to FIG. 2, FIG. 2 is a schematic diagram of taboo food and food components of the common chronic disease type recorded in the recipe database 22 of the cloud health service platform 2. In Fig. 2 of the present embodiment, only the taboo foods corresponding to the type of chronic disease, such as diabetic patients, hypertensive patients, heart disease patients, and obesity patients, are exemplified, and all types of chronic diseases are not exhaustive. For example, contraindications for diabetics include, but are not limited to, fried pork chops, fried chicken and meat, cream, chocolate, honey, desserts, etc., ie: diabetics are contraindicated with high fat, high cholesterol, sugary High-volume, high-starch foods. The contraindications for hypertensive patients include, but are not limited to, pork belly, bacon, sausage, onion, garlic, chili, etc., ie: hypertensive patients are contraindicated with high-fat meat, spicy foods, and high salt content. Pickled food. The contraindications for heart disease include, but are not limited to, bacon, beef, sausage, chicken, chicken liver, goat liver, pig lung, pig brain, pig large intestine, etc., that is, heart disease patients are forbidden to eat spicy spicy food, food high Fat, high cholesterol foods and salted foods with high salt content. Taboo foods for obese patients include, but are not limited to, fried taro, fried broiler, beans, sweet potatoes, lotus root starch, honey, chocolate, desserts, etc., that is, obesity patients are contraindicated with fat, protein, and high sugar content. food.

As shown in FIG. 3, FIG. 3 is a functional block diagram of a preferred embodiment of the diet control system 10 for chronically ill patients based on human body characteristic data of the present invention. In the present embodiment, the chronic disease patient diet control system 10 includes, but is not limited to, a vital sign data acquisition module 101, a food identification module 102, a diet intervention module 103, and a voice prompt module 104. The module referred to in this embodiment refers to a series of computer program instruction segments that can be executed by the microprocessor 15 in the terminal device 1 and that can perform a fixed function, which is stored in the memory 16 in the terminal device 1. in.

The vital sign data obtaining module 101 is configured to obtain the vital sign information of the chronic disease patient from the vital sign database 21 on the cloud health service platform 2 through the communication unit 14 when the terminal device 1 is turned on, and determine the chronic disease patient according to the physical sign information. Type of illness. In this embodiment, the vital sign information of the chronic disease patient includes, but is not limited to, blood glucose concentration, blood pressure value, heart rate, obesity index data, and the like of the chronic disease patient. The types of diseases of the chronically ill patients include, but are not limited to, diabetic patients, hypertensive patients, heart disease patients, obesity patients, and the like.

The food identification module 102 is configured to ingest the food image currently eaten by the chronic disease patient through the image capturing unit 11 and identify the feature data of the food image by analyzing the pixel value of the food image. In the present embodiment, when the camera unit 11 captures an image of a chronically ill patient eating with a tableware (such as a chopstick, a spoon or a dish), the food image is immediately taken and sent to the food identification module 102. In this embodiment, first, setting pixel values corresponding to each food image and associating each pixel value with the feature data of the food to establish a food sample library, and storing the food sample bank in the memory 16; when the food is recognized When the module 102 obtains the food image, the pixel value of the food image is parsed from the food image, and the feature data of the food is matched in the food sample library according to the pixel value of the food image. For example, set the pixel value of the cyan vegetable image to RGB (64, 24, 208), set the pixel value of the crimson meat image to RGB (220, 20, 60), and set the tan meat image. The pixel value is set to RGB (210, 180, 140), the pixel value of the egg yellow egg image is set to RGB (252, 230, 201), and the pixel value of the seashell color seafood image is set to RGB (255, 245, 238) and so on. It can be understood that the example of setting the pixel value of the cuisine in the embodiment of the present invention is only a part of the example, and those skilled in the art can establish a food sample library corresponding to each food image pixel value according to the cuisine of different colors.

The food identification module 102 is further configured to match the food component of the current food from the recipe database 22 of the cloud health service platform 2 according to the food feature data. For example, the food identification module 102 can match the meat with high fat content from the recipe database 22 according to the meat characteristic data, and can match the egg with high protein content from the recipe database 22 according to the egg characteristic data, or The vegetable characteristic data matches the vegetables containing high carbohydrates from the recipe database 22.

The food identification module 102 is further configured to determine, according to the type of disease and the food component, whether the current food that the chronic disease patient eats is a contraindication food. For example, diabetic patients with high blood glucose levels are forbidden to eat high-sugar creams and honey, and those with high blood pressure are forbidden to eat meat with high fat content.

The dietary intervention module 103 is configured to obtain an image from the memory 16 for reducing the appetite of the chronically ill patient when the current food consumed by the chronically ill patient is a contraindication food, and project the image to the contraindication food through the projection unit 12. The surface is used to destroy the appetite of chronically ill patients who consume taboo foods, so as to effectively control the effect of chronically ill patients with contraindicated foods and with doctors to help treat chronic diseases.

The voice prompting module 104 is configured to prompt the chronically ill patient to eat the current food through the speaker 13 when the current food that the chronic disease patient eats is not taboo food, thereby achieving the effect of assisting the chronic disease patient to eat healthy food safely.

In order to achieve the object of the present invention, the present invention also provides a diet control method for a chronically ill patient based on human body characteristic data, which is applied to the terminal device 1 integrated on the carry-on article of the patient, and can automatically recognize the chronic disease patient when eating. The contraindications of patients with chronic diseases and automatic control of chronically ill patients are prohibited from eating taboo foods.

As shown in FIG. 4, FIG. 4 is a flow chart of a preferred embodiment of a diet control method for a chronically ill patient based on human body characteristic data according to the present invention. In the preferred embodiment, the chronic disease patient diet control method is applied to the terminal device 1, and the method includes the following steps S21 to S27.

Step S21, when the terminal device 1 is turned on, the vital sign data obtaining module 101 acquires the vital sign information of the chronic disease patient from the vital sign database 21 on the cloud health service platform 2 through the communication unit 14, and determines the suffering of the chronic disease patient according to the physical sign information. Type of disease. In this embodiment, the vital sign information of the chronic disease patient includes, but is not limited to, blood glucose concentration, blood pressure value, heart rate, obesity index data, and the like of the chronic disease patient. The types of diseases of the chronically ill patients include, but are not limited to, diabetic patients, hypertensive patients, heart disease patients, obesity patients, and the like.

In step S22, the food identification module 102 captures the food image currently eaten by the chronically ill patient through the imaging unit 11, and identifies the characteristic data of the food by analyzing the pixel value of the food image. In the present embodiment, when the camera unit 11 captures an image of a chronically ill patient eating with a tableware (such as a chopstick, a spoon or a dish), the food image is immediately taken and sent to the food identification module 102. In this embodiment, first, setting pixel values corresponding to each food image and associating each pixel value with the feature data of the food to establish a food sample library, and storing the food sample bank in the memory 16; when the food is recognized When the module 102 obtains the food image, the pixel value of the food image is parsed from the food image, and the food feature data is matched in the food sample library according to the pixel value of the food image. For example, set the pixel value of the cyan vegetable image to RGB (64, 24, 208) and the crimson meat image to RGB (220, 20, 60). Set the pixel value of the tanned meat image to RGB (210, 180, 140) Set the pixel value of the egg-colored egg image to RGB (252, 230, 201), set the pixel value of the seafood image of the seashell color to RGB (255, 245, 238), and so on. It can be understood that the example of setting the pixel value of the cuisine in the embodiment of the present invention is only a part of the example, and those skilled in the art can establish a food sample library corresponding to each food image pixel value according to the cuisine of different colors.

In step S23, the food identification module 102 matches the food component of the current food from the recipe database 22 of the cloud health service platform 2 according to the food feature data. For example, the food identification module 102 can match the meat with high fat content from the recipe database 22 according to the meat characteristic data, and can match the egg with high protein content from the recipe database 22 according to the egg characteristic data, or The vegetable characteristic data matches the vegetables containing high carbohydrates from the recipe database 22.

In step S24, the food identification module 102 determines whether the current food eaten by the chronic disease patient is a contraindication food according to the type of disease and the food component. For example, diabetic patients with high blood glucose levels are forbidden to eat high-sugar creams and honey, and those with high blood pressure are forbidden to eat meat with high fat content. If the food currently eaten by the chronic disease patient is a contraindication food, step S25 is performed; if the food currently eaten by the chronic disease patient is not a contraindication food, step S27 is performed.

In step S25, the diet intervention module 103 obtains from the memory 16 an image that reduces the appetite of the chronically ill patient. The image of reducing the appetite of the chronically ill patient is pre-stored in the memory 16, including a caterpillar image or an impurity image that affects the appetite of the chronically ill patient.

Step S26, the diet intervention module 103 projects the image onto the surface of the contraindication food through the projection unit 12 to destroy the appetite of the chronically ill patient to eat the contraindication food, thereby reaching the effective control of the chronic disease patient to eat the contraindication food and cooperating with the doctor to treat the chronic disease. effect.

In step S27, the voice prompting module 104 uses the voice of the speaker 13 to prompt the chronically ill patient to eat the current food with confidence, thereby achieving the effect of assisting the chronically ill patient to eat healthy food with confidence.

The above is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and equivalent structural or equivalent functional changes made by the description of the present invention and the accompanying drawings may be directly or indirectly applied to other related technical fields. The same is included in the scope of patent protection of the present invention.

Claims (14)

A diet control system for chronically ill patients based on human body characteristic data, which is applied to a terminal device integrated on a carry-on item of a chronically ill patient, the terminal device wirelessly being connected to a cloud health service platform set in a chronic disease treatment hospital through a communication network Communication, characterized in that the diet control system for the chronically ill patient comprises: a vital sign data obtaining module, configured to obtain, by the communication unit of the terminal device, the vital sign information of the chronic disease patient from the vital sign database of the cloud health service platform, and determine the type of the disease of the chronic disease patient according to the physical sign information; a food identification module, configured to: capture, by the camera unit of the terminal device, a food image currently eaten by the chronically ill patient, and identify the food feature data by analyzing pixel values of the food image, according to the food feature data from the cloud health The food database of the service platform matches the food component of the current food, and determines whether the current food consumed by the chronic disease patient is a contraindication food according to the type of the disease and the food component; a diet intervention module, configured to obtain an image of reducing appetite of a chronically ill patient from a memory of the terminal device when the current food consumed by the chronically ill patient is a contraindication food, and to image the image through a projection unit of the terminal device Projected onto the surface of current foods to undermine the appetite of chronically ill patients who consume taboo food. The human body characteristic data-based diet control system for a chronically ill patient according to claim 1, wherein the image for reducing the appetite of the chronically ill patient is an image that affects the appetite of the contraindicated food for the chronically ill patient. The human body characteristic data-based diet control system for chronic disease patients according to claim 1, wherein the vital signs of the chronic disease patient include blood glucose concentration of the diabetic patient, blood pressure value of the hypertensive patient, and heart rate of the heart disease patient. And obesity index data for obese patients. The human body characteristic data-based diet control system for a chronic disease patient according to claim 1, wherein the system further comprises a voice prompting module, wherein the voice prompting module is configured to: when the current food of the chronic disease patient is not taboo food, The speaker of the terminal device is used to prompt the chronically ill patient to eat the current food with confidence. The human body characteristic data-based diet control system for a chronically ill patient according to claim 4, wherein the image for reducing appetite of a chronically ill patient is an image that affects the appetite of a contraindicated food for a chronically ill patient. The human body characteristic data-based diet control system for a chronic disease patient according to claim 4, wherein the vital sign data of the chronic disease patient includes a blood glucose concentration of the diabetic patient, a blood pressure value of the hypertensive patient, and a heart rate of the heart disease patient. And obesity index data for obese patients. The human body characteristic data-based diet control system for a chronic disease patient according to claim 1, wherein the identifying the food feature data by analyzing pixel values of the food image comprises: Set the pixel value corresponding to each food image; Correlating each pixel value with the feature data of the food to establish a food sample library, and storing the food sample bank in a memory; When the food image is acquired, the pixel value of the food image is parsed from the food image, and the food feature data is matched in the food sample library according to the pixel value of the food image. The human body characteristic data-based diet control system for a chronically ill patient according to claim 7, wherein the image for reducing the appetite of the chronically ill patient is an image that affects the appetite of the contraindicated food for the chronically ill patient. The human body characteristic data-based diet control system for a chronic disease patient according to claim 7, wherein the vital sign data of the chronic disease patient includes a blood glucose concentration of the diabetic patient, a blood pressure value of the hypertensive patient, and a heart rate of the heart disease patient. And obesity index data for obese patients. A diet control method for chronically ill patients based on human body characteristic data, which is applied to a terminal device integrated on a carry-on item of a chronically ill patient, the terminal device wirelessly being connected to a cloud health service platform set in a chronic disease treatment hospital through a communication network Communication, characterized in that the method comprises the steps of: Obtaining, by the communication unit of the terminal device, the vital sign information of the chronic disease patient from the vital sign database of the cloud health service platform, and determining the type of the disease of the chronic disease patient according to the physical sign information; Obtaining, by the camera unit of the terminal device, a food image currently eaten by the chronic disease patient, and identifying the food feature data by analyzing pixel values of the food image; Matching food components of the current food from the recipe database of the cloud health service platform according to the food characteristic data; Determining whether the current food consumed by the chronically ill patient is a contraindication food according to the type of the disease and the food component; When the current food eaten by the chronically ill patient is a contraindication food, an image of reducing the appetite of the chronically ill patient is obtained from the memory of the terminal device, and the image is projected onto the surface of the current food through the projection unit of the terminal device Come up to destroy the appetite of chronically ill patients who eat taboo food. The method according to claim 10, wherein the method further comprises the steps of: When the current food that the chronic disease patient eats is not a contraindication food, the speaker of the terminal device is used to prompt the chronic disease patient to eat the current food with confidence. The human body characteristic data-based diet control method for a chronic disease patient according to claim 10, wherein the step of identifying the food feature data by analyzing pixel values of the food image comprises: Set the pixel value corresponding to each food image; Correlating each pixel value with the feature data of the food to establish a food sample library, and storing the food sample bank in a memory; When the food image is acquired, the pixel value of the food image is parsed from the food image, and the food feature data is matched in the food sample library according to the pixel value of the food image. The human body characteristic data-based diet control method for a chronically ill patient according to claim 12, wherein the image for reducing appetite of a chronically ill patient is an image that affects the appetite of a contraindicated food for a chronically ill patient. The method for controlling diet of a chronic disease patient based on human body characteristic data according to claim 12, wherein the vital sign data of the chronic disease patient includes blood glucose concentration of the diabetic patient, blood pressure value of the hypertensive patient, and heart rate of the heart disease patient. And obesity index data for obese patients.