TW201445490A - System for generating diet suggestion based on physiology data and food data and method thereof - Google Patents

Abstract

A system for generating a diet suggestion based on physiology data and food data and a method thereof are provided. By analyzing types of nutrients and contents of nutrients in accordance with foods eaten by a user, analyzing a condition of nutrients absorbed by the user according to changes of physiology data of the user, types of nutrients and contents of nutrients, and generating a diet suggestion suited to the user based on the condition of absorbed nutrients, the system and the method can generate diet suggestion in connection with condition of user absorbed nutrients, and can achieve the effect of reducing cost of obtaining diet suggestion suited to user.

Description

System and method for generating dietary recommendations based on physiological and dietary data

A dietary suggestion production system and method thereof, in particular, a system and method for producing dietary recommendations based on physiological and dietary data.

With the development of technology, many of the work that requires human hands-on work in the past, such as laundry and dishwashing, long-distance movement, etc., can now reduce the consumption of many physical energy through the assistance of specific machines. Although the development of science and technology has brought many conveniences to human beings, in the long run, human beings lack opportunities for sports, making human bodies more and more unhealthy. Among them, obesity is the most obvious health problem. To this end, people began to understand how to control the diet and continue to exercise to maintain the health of the body.

At present, there are several ways to control diet, such as replacing low-calorie foods with high-calorie foods, reducing and controlling carbohydrate intake, or reducing the amount of food consumed. The former two methods are usually healthier. Because the food you eat usually needs to be prepared by the nutritionist for individual needs, the intake of various nutrients will be more in line with their own needs. However, it is relatively expensive for the dietitian to allocate a recommended menu for individual needs, so there is also a list of more common diets prepared by dietitians on the market. However, because each person's physical condition is different, the absorption status of different foods is different. Therefore, regardless of whether the dietitian is preparing for the individual's needs, the dietitian cannot allocate the food that is really suitable for the needs.

In summary, it can be seen that in the prior art, dietary recommendations for individuals have been expensive for a long time, and easy-to-obtain dietary recommendations are not necessarily suitable for individual problems, so it is necessary to propose improved technical means to solve this problem. A problem.

In view of the prior art, there are high dietary recommendations for individuals, and the readily available dietary recommendations are not necessarily suitable for individual problems. The present invention discloses a system and method for producing dietary recommendations based on physiological and dietary information, wherein The system for generating dietary advice according to the physiological and dietary data disclosed in the present invention is applied to a server, and the server provides a client connection. The system includes at least: a transmission module for receiving the health information transmitted by the client in advance, and the health The data includes physiological data and dietary information; the data reading module is used to read health data; the nutrient analysis module is used to analyze the nutrient types and nutrient contents contained in the dietary data; the absorption analysis module is used to determine the physiological basis. Changes in data, nutrient types and nutrient content analysis of nutrient absorption; it is recommended to generate modules to generate dietary recommendations based on the absorption of nutrients.

The method for generating a dietary recommendation according to the physiological and dietary data disclosed in the present invention is applied to a server, and the server provides a client connection, and the steps include at least: receiving and storing the health data pre-transmitted by the client, the health data including the physiological data and Dietary information; reading health data; analyzing the nutrient types and nutrient content contained in the dietary data; analyzing the absorption of nutrients based on changes in physiological data, nutrient types and nutrient contents; and generating dietary recommendations based on the absorption status of nutrients.

The system and method disclosed in the present invention are as above, and the difference from the prior art is that the present invention analyzes the nutrient species and nutrient content contained in the user's dietary data, and then according to the physiological data of the user, the nutrient species and Nutrient content analyzes the absorption of nutrients and produces dietary recommendations that are appropriate for the user based on the absorption of various nutrients, so as to solve the problems of prior art and to achieve the technology of reducing the cost of users to obtain their own dietary recommendations. efficacy.

100‧‧‧Server

101‧‧‧ Storage media

110‧‧‧Transmission module

120‧‧‧data reading module

150‧‧‧Nutrient Analysis Module

160‧‧‧Absorption analysis module

170‧‧‧Recommended module

400‧‧‧Client

Step 202‧‧‧ Receive the health information transmitted by the client. The health data includes physiological data and dietary information.

Step 206‧‧‧Storage of health information

Step 211‧‧‧ Receive the food preference information transmitted by the client

Step 215‧‧‧Storage of food preference information

Step 220‧‧‧Read health information

Step 230‧‧‧ Analyze the nutrient species and nutrient content contained in the dietary data

Step 250‧‧‧ Analyze the absorption of nutrients based on changes in physiological data, nutrient types and nutrient content

Step 270a ‧ ‧ Produce dietary recommendations based on the absorption of nutrients

Step 270b ‧ ‧ Produce dietary recommendations based on the absorption of nutrients and the pre-delivered food preference information from the client

Step 271‧‧‧Select ingredients according to the essential content of nutrients

Step 273‧‧‧Determination of the amount corresponding to the selected ingredients

Step 275‧‧‧ Produce dietary recommendations based on the selected ingredients and the corresponding serving size

Step 280‧‧‧Transfer dietary advice to the client

Figure 1 is a system architecture diagram of the dietary recommendations for physiological and dietary data according to the present invention.

Figure 2A is a flow chart of the method for producing dietary recommendations based on physiological and dietary data according to the present invention.

Figure 2B is a flow chart showing the detailed method of generating dietary recommendations according to the present invention.

Figure 2C is a flow chart of the method for producing dietary recommendations based on physiological, dietary data and preferred ingredients according to the present invention.

The features and embodiments of the present invention will be described in detail below with reference to the drawings and embodiments, which are sufficient to enable those skilled in the art to fully understand the technical means to which the present invention solves the technical problems, and The achievable effects of the present invention.

The invention can analyze the changes of the user's diet data and physiological data, thereby judging the user's absorption status of various nutrients, and providing dietary suggestions suitable for the user according to the determined absorption status of each nutrient.

The dietary information provided by the present invention contains the name of the food, the serving size, the weight, or the capacity of the food, etc., which is sufficient to provide the present invention for calculating the nutrient content of the user. The physiological data mentioned in the present invention is data which can be measured by the user, including but not limited to height, body weight, body fat, endocrine, visceral test value, exercise amount and the like.

In the following, the system architecture of the present invention will be described with reference to the system architecture diagram of the dietary recommendations based on the physiological and dietary data of the present invention. As shown in FIG. 1, the system of the present invention includes a transmission module 110, a data reading module 120, a nutrient analysis module 150, an absorption analysis module 160, and a suggestion generation module 170. Among them, the system of the present invention is executed on the server 100.

The transmission module 110 is responsible for receiving a plurality of health materials transmitted by the client 400. The health data transmitted by the client 400 includes the user's physiological data and the user's dietary information.

Generally, after receiving the health data transmitted by the client 400, the transmission module 110 stores the health data in the storage medium 101 disposed in the server 100, but the invention is not limited thereto. The transmission module 110 can also transfer the received health data to a storage device (not shown) external to the device in which the present invention is implemented.

The transmission module 110 is also responsible for the dietary suggestions generated by the suggestion generation module 170. Transfer to client 400.

The data reading module 120 is responsible for reading the health data stored in the storage medium 101. If the transmission module 110 transfers the health data to the storage device external to the device for performing the present invention, the data reading module 120 reads the health data through the transmission module 110.

The nutrient analysis module 150 is responsible for analyzing the nutrient species and nutrient content contained in the dietary data read by the data reading module 120. Since the dietary information contains only the name of the food, and the serving size, weight, or capacity of the food, and does not include the nutrient species, the nutrient analysis module 150 needs to be based on the name of the food, and the serving size, weight, or capacity of the food. The type and content of nutrients. For example, searching for the ingredients contained in the food according to the name of the food, and searching for the types of nutrients contained in the food according to the proportion of the ingredients in the food, the proportion of the nutrients contained in each food, And the serving size, weight, or capacity of the food is multiplied by the nutrient content contained in the food, but the manner in which the nutrient analysis module 150 analyzes the nutrient species and nutrient content is not limited to the above.

The absorption analysis module 160 is responsible for further analyzing the condition of each nutrient absorbed by the user according to the change of the physiological data read by the data reading module 120 and the nutrient species and nutrient content analyzed by the nutrient analysis module 150. In the present invention, the "nutrient absorption state" indicates a state in which nutrients are absorbed by the user.

For example, when the user consumes more sugar and the lipids and protein are less, the rate of weight gain is significantly increased, and when the user consumes more protein and lipids, the sugar is less. At the time, there is no significant increase in body weight, and the absorption analysis module 160 judges that the user absorbs the sugar better, or judges that the user's absorption of the protein and the lipid is poor.

The suggestion generation module 170 is responsible for generating dietary recommendations based on the absorbed condition of the nutrients. For example, when the user's weight is below the standard range, if the user is better at absorbing the sugar than the protein and the lipid, it is suggested that the dietary recipe produced by the module 170 will contain more sugar. When the user's weight is higher than the standard range, if the user's absorption of sugar is better than protein and lipid, it is recommended that the dietary recommendations produced by the module 170 contain more protein and fat. class.

The suggestion generation module 170 can select the ingredients and determine the amount corresponding to the selected ingredients, so that the nutrients contained in the selected ingredients and the nutrients of each nutrient are included. The amount can meet the nutrient types and nutrient content that each person needs for one day. For example, 55 to 65 grams of protein, 20 to 30 grams of dietary fiber, 60 to 100 milligrams of vitamin C and 5 to 7.5 micrograms of vitamin D and other vitamins, 600 milligrams of phosphorus and 2 to 4 grams of sodium and other minerals.

The proposed generation module 170 is also responsible for the selected ingredients and corresponding portions. The amount of dietary recommendations is such that the various nutrients contained in the resulting one-day menu are absorbed to meet the nutrient content necessary for a day, rather than simply producing a menu containing the nutrient content necessary for one day. . For example, create a menu for each day (eg breakfast: 1 cup of fresh milk, 1 cup of omelet sandwich; lunch: 1 bowl of rice, 1 part of curry chicken, 1 part of green pepper shredded pork, 1 bowl of radish soup, 1 part of guava) Dinner: 1 part of seafood noodle soup, 1 part of fried water spinach, 1 part of watermelon, etc., but the dietary recommendations mentioned in the present invention are not limited to the above.

In some embodiments, the suggestion generation module 170 can also be based on the user's Preferred ingredients produce dietary recommendations. The user's preferred food is recorded in the food preference data transmitted by the client 400. Similar to the health information, after the transmission module 110 receives the food preference information transmitted by the client 400, the transmission module 110 Store the received food preference information.

Next, an embodiment of the operating system and method of the present invention will be explained, and According to "Fig. 2A", a flow chart of a method for producing dietary recommendations based on physiological and dietary data according to the present invention. In the present embodiment, the present invention is executed on the server 100.

Before the present invention provides dietary advice, the user needs to provide health information to the present invention. Since the present invention is executed on the server 100, the user needs to operate the client 400 used to transmit his/her health data to the server 100. The user can insert the storage device storing the health data into the USB port of the client 400, so that the client 400 can read and transmit the user's health data from the connected storage device.

After the transmission module 110 receives the health data of the user transmitted by the client 400 (step 202), the transmission module 110 may store the received health data (step 206). In this embodiment, it is assumed that the transmission module 110 stores the received health data in the storage medium 101 of the server 100.

After the amount of health information provided by the user to the present invention is sufficient, the data reading module 120 can read the health data (step 220). In this embodiment, a data reading module is assumed The group 120 reads the health information from the storage medium 101 installed in the server 100 after the user operates the client 400 to transmit a request for generating a meal proposal.

After the data reading module 120 reads the health data (step 220), the nutrient The analysis module 150 can analyze the dietary data in the health data read by the data reading module 120 to analyze the nutrient species and nutrient content contained in the dietary data (step 230).

Thereafter, the absorption analysis module 160 can be based on physiological data in the health data. The change, as well as the nutrient species and nutrient content, analyze the absorbed status of the nutrient (step 250).

The absorption analysis module 160 changes according to the user's physiological data, and the camp After the nutrient species and nutrient content are analyzed for the absorbed state of the nutrient (step 250), the suggestion generation module 170 can generate a dietary recommendation suitable for the user according to the absorbed state of each nutrient analyzed by the absorption analysis module 160 (step 270a). ). In the present embodiment, it is assumed that the suggestion generation module 170 selects an appropriate food material according to the necessary content of the nutrients required by the user each day as shown in the flow of "2B" (step 271), and judges and selects. The portion of the foodstuff is corresponding (step 273), and then a dietary recommendation is generated based on the selected foodstuff and the corresponding serving size (step 275).

The proposed production module 170 generates a diet based on the absorbed state of the nutrients. After the step (step 270a), the transmission module 110 can transmit the dietary suggestions generated by the suggestion generation module 170 to the client 400 (step 280), so that the user of the client 400 can obtain the generated by the suggestion generation module 170. Dietary advice.

Thus, through the present invention, the user can obtain a condition suitable for his or her own absorption. Dietary advice, no longer need to collect dietary advice that doesn't know if it suits you.

In the above embodiment, the flow shown in "2C chart" may also be used. Before the data reading module 120 reads the health data (step 220), the user operates the client 400 to transmit the food preference data to the server 100, and the transmission module 110 can receive and store the food preference information transmitted by the client 400 (steps). 211, 215). Then, after the absorption analysis module 160 analyzes the absorbed state of the nutrient according to the change of the physiological data and the nutrient type and the nutrient content (step 250), it is recommended to generate the module 170 to generate a dietary recommendation suitable for the user, which can be based on the absorption analysis. The absorption status of each nutrient analyzed by the module 160, and the client 400 The food ingredients recorded in the transmitted food preference data produce dietary recommendations (step 270b) to increase the user's willingness to consume nutrients according to dietary recommendations.

In summary, it can be seen that the difference between the present invention and the prior art is that it has a use. After the nutrient types and nutrient content contained in the dietary data, the nutrient absorption is analyzed based on the changes in the physiological data of the user, the nutrient types and nutrient contents, and the user-friendly diet is generated according to the absorption state of various nutrients. The proposed technical means can solve the prior art's dietary recommendations for personal deployment, and the easy-to-obtain dietary recommendations are not necessarily suitable for individual problems, thereby achieving a reduction in users' suitability. The technical efficacy of the dietary recommendations.

Furthermore, the method for producing dietary recommendations according to the physiological and dietary data of the present invention may be It can be implemented in hardware, software or a combination of hardware and software. It can also be implemented in a centralized manner in a computer system or in a distributed manner in which different components are interspersed among several interconnected computer systems.

While the embodiments of the present invention have been described above, the above description is not intended to limit the scope of the invention. Any modification of the form and details of the practice of the present invention, which is a matter of ordinary skill in the art to which the present invention pertains, is a patent protection of the present invention. range. The scope of the invention is to be determined by the scope of the appended claims.

Step 202‧‧‧ Receive the health information transmitted by the client. The health data includes physiological data and dietary information.

Step 206‧‧‧Storage of health information

Step 220‧‧‧Read health information

Step 230‧‧‧ Analyze the nutrient species and nutrient content contained in the dietary data

Step 250‧‧‧ Analyze the absorption of nutrients based on changes in physiological data, nutrient types and nutrient content

Step 270a ‧ ‧ Produce dietary recommendations based on the absorption of nutrients

Step 280‧‧‧Transfer dietary advice to the client

Claims (10)

A method for generating dietary recommendations based on physiological and dietary data is applied to a server that provides at least one client connection, the method comprising at least the steps of: receiving and storing a plurality of health data transmitted by the client in advance, Each of the health information includes a physiological data and a dietary data; reading the health data; analyzing nutrient types and nutrient contents contained in the dietary materials; and according to the changes of the physiological data, the nutrient types and the The nutrient content is analyzed for the absorption status of each of the nutrients; and a dietary recommendation is generated based on the absorption status of each of the nutrients. A method for producing a dietary recommendation according to physiological and dietary data as described in claim 1 wherein the method further comprises transmitting the dietary recommendation to the customer after the step of generating the dietary recommendation based on the absorbed state of the nutrient. The steps of the end. The method for producing dietary recommendations according to the physiological and dietary data according to the first aspect of the patent application, wherein the steps of the dietary recommendation according to the absorbed state of the nutrient are selected according to the necessary content of each nutrient, and the judgment is Each of the selected food materials corresponds to the serving size, and the dietary recommendation is generated according to each of the selected food materials and the corresponding serving size. The method for producing a dietary recommendation according to the physiological and dietary data according to the first aspect of the patent application, wherein the step of generating the dietary recommendation according to the absorbed state of each nutrient further comprises: according to the absorbed state of the nutrient and the client Pre-delivered food preference information produces this dietary recommendation. A system for generating dietary advice based on physiological and dietary data is applied to a server, the server provides at least one client connection, and the system includes at least: a transmission module for receiving a plurality of pre-transmissions by the client Health information, each The health information includes a physiological data and a dietary data; a data reading module for reading the health information; and a nutrient analysis module for analyzing nutrient types and nutrient contents contained in the dietary materials; An absorption analysis module for analyzing the absorbed state of each nutrient according to the change of the physiological data, the nutrient species and the nutrient content; and a suggestion generating module for absorbing according to each nutrient The condition produces a dietary recommendation. A system for producing dietary recommendations according to physiological and dietary data as described in claim 5, wherein the transmission module is further configured to deliver the dietary advice to the client. a system for producing dietary recommendations according to physiological and dietary data as set forth in claim 5, wherein the suggestion generating module selects the ingredients according to the necessary content of each nutrient, and determines the amount corresponding to the selected ingredients, and The dietary recommendations are based on the selected ingredients and the corresponding serving size. A system for generating dietary recommendations according to physiological and dietary data as described in claim 5, wherein the suggestion generating module is further configured to generate the dietary recommendation according to the pre-delivered food preference information of the client. A system for producing dietary recommendations according to physiological and dietary data as described in claim 5, wherein the physiological data includes at least one of height, body weight, body fat, endocrine, visceral test value, and exercise amount. A system for producing dietary recommendations based on physiological and dietary information as set forth in claim 5, wherein the dietary information includes the name and amount, weight, or capacity of the food.