CN105572420A - Feeding speed acquiring method and device - Google Patents

Feeding speed acquiring method and device Download PDF

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Publication number
CN105572420A
CN105572420A CN201410643963.3A CN201410643963A CN105572420A CN 105572420 A CN105572420 A CN 105572420A CN 201410643963 A CN201410643963 A CN 201410643963A CN 105572420 A CN105572420 A CN 105572420A
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eating
acceleration sensor
action
acceleration
state
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CN201410643963.3A
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CN105572420B (en
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吴寒潇
徐青青
张志鹏
许利群
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China Mobile Communications Group Co Ltd
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China Mobile Communications Group Co Ltd
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Abstract

The embodiment of the invention discloses a feeding speed acquiring method and device. The method includes the following steps that: the acceleration information of an acceleration sensor is acquired, wherein the acceleration sensor is arranged on a feeding utensil; the acceleration information is analyzed, and a feeding action period is obtained; and feeding speed in the feeding action period is obtained. According to the feeding speed acquiring method and device provided by the embodiment of the invention, the feeding speed is identified based on the acceleration signals, and therefore, the feeding speed acquiring method and device are simple and convenient to implement and have high usability. According to another embodiment of the invention, related data of feeding speed identification are transmitted to a mobile terminal, so that the mobile terminal can carry on statistical analysis on the data, and therefore, analysis accuracy can be further improved.

Description

Method and device for acquiring eating speed
Technical Field
The invention relates to an information processing technology, in particular to a method and a device for acquiring eating speed.
Background
The rate of eating is an important factor in eating habits. Too fast a rate of eating to allow the food to be chewed sufficiently is not conducive to the initial digestion of the food in the mouth and salivary amylase, thereby increasing the gastrointestinal burden; too short a chewing time may cause the vagus nerve to be in hyperexcitability, and in the past, obesity is likely to occur due to increased appetite. In addition, eating too quickly places a large burden on the mind. Therefore, the intelligent tableware is used for identifying and recording the daily eating speed, and the user is helped to develop the proper eating speed, so that the intelligent tableware has important significance. In the process of exploring intelligent tableware, many researches are focused on integrating various sensors on the tableware, and monitoring the eating habits of users from multiple dimensions by providing rich functions.
For example, the health smart tableware proposed in the related art includes a health smart tableware including a spoon, a nutritional indicator measuring instrument including a fat sensor, a protein sensor, a carbohydrate sensor, a piezoelectric sensor, a salivary α amylase biosensor, and a signal processing system, and a power supply. The novel healthy intelligent tableware can automatically measure the amount of protein, fat and carbohydrate contained in ingested food.
For another example, the related art proposes a method and apparatus for measuring and presenting eating rate, which consists of a display screen and an electronic scale for teaching people to eat according to a predetermined graphic eating curve displayed on the screen.
For another example, the related art provides a weight-reducing spoon, wherein an electronic watch is installed on the spoon, the eating speed of a person who eats fast is monitored through a countdown key, and the eating habit of people for chewing and swallowing slowly is consciously developed, so that the excessive food intake is avoided, the weight-reducing effect is achieved, and the weight-reducing spoon is simple to manufacture and use.
However, the aforementioned eating rate monitoring method has the following problems:
1) the existing technology aiming at eating speed has larger used condition constraint, low portability of the device, and generally requires that all foods are placed in the same plate, thus having poor usability in daily situations;
2) long-term recording is lacking. The detection and intervention of eating habits is a dynamic and long-term process, and the statistics and trend analysis of data are very important, which are not reflected in the prior technical scheme.
Disclosure of Invention
In view of this, in order to solve the existing technical problems, embodiments of the present invention provide:
a method of obtaining eating rate, comprising:
acquiring acceleration information of an acceleration sensor, wherein the acceleration sensor is arranged on eating tableware;
analyzing the acceleration information to obtain a feeding action period;
and acquiring the eating speed in the eating action period.
In one embodiment, the eating activity cycle comprises: a food service tableware placing state, a food service tableware taking state and a food service state.
In one embodiment, the Y-axis of the acceleration sensor is aligned with the handle of the eating utensil,
the analyzing the acceleration information to obtain the eating action cycle comprises the following steps:
according toCalculating the motion intensity TFA of the acceleration sensor, wherein xi 2Is the square of the signal of the ith axis of the acceleration sensor, and when TFA is smaller than a first threshold value, the tableware is determined to be in a placing state;
determining that the eating utensil is in the eating state when the acceleration sensor continuously experiences a first action, a second action, a third action and a fourth action, wherein the first action corresponds to the direction of the Y-axis gravity acceleration of the acceleration sensor being downward, the second action corresponds to the Y-axis gravity acceleration of the acceleration sensor being increased, and then a concave waveform appears, the third action corresponds to the Y-axis gravity acceleration of the acceleration sensor being increased again, and the fourth action corresponds to the Y-axis gravity acceleration of the acceleration sensor being decreased;
determining a time period that is not identified as a food service placement state and a food service state as a pick-up state of the food service.
In one embodiment, the acquiring the eating speed in the eating action period includes:
according toCalculating the eating rate, wherein TiIs the time of occurrence of the most recent eating state, Ti-1Is the time when the previous eating state occurred, mu is a constant coefficient.
In one embodiment, after acquiring the eating speed in the eating action cycle, the method further includes:
and judging according to the eating speed, and reminding by adopting a preset reminding mode when the eating speed meets a preset reminding condition.
In one embodiment, after acquiring the eating speed in the eating action cycle, the method further includes:
analyzing and/or displaying the obtained eating speed.
In an embodiment, the step of obtaining the acceleration information of the acceleration sensor, and/or obtaining the eating motion period and/or obtaining the eating speed in the eating motion period is performed by an eating speed obtaining device disposed on the eating utensil, or performed by an eating speed obtaining device disposed on the user terminal device.
A device for obtaining eating rate, comprising: the system comprises a first acquisition module, a second acquisition module and a third acquisition module; wherein,
the first acquisition module is used for acquiring acceleration information of an acceleration sensor, and the acceleration sensor is arranged on the eating tableware;
the second acquisition module is used for analyzing the acceleration information and acquiring a feeding action period;
and the third acquisition module is used for acquiring the eating speed in the eating action period.
In a specific embodiment, the second obtaining module is specifically configured to obtain the second information according toCalculating the motion intensity TFA of the acceleration sensor, wherein xi 2Is the square of the signal of the ith axis of the acceleration sensor, and when TFA is smaller than a first threshold value, the tableware is determined to be in a placing state; and determining that the eating utensil is in the eating state when the acceleration sensor continuously experiences a first action, a second action, a third action and a fourth action, wherein the first action corresponds to the direction of the Y-axis gravity acceleration of the acceleration sensor being downward, the second action corresponds to the Y-axis gravity acceleration of the acceleration sensor being increased, and then a concave waveform appears, the third action corresponds to the Y-axis gravity acceleration of the acceleration sensor being increased again, and the fourth action corresponds to the Y-axis gravity acceleration of the acceleration sensor being decreased; and determining a time period that is not identified as a food service placement state and a food service state as a pick-up state of the food service.
In a specific embodiment, the third obtaining module is specifically configured to obtain the information according toCalculating the eating rate, wherein TiIs the time of occurrence of the most recent eating state, Ti-1Is the time when the previous eating state occurred, mu is a constant coefficient.
In one embodiment, the device further comprises a reminder module,
and the reminding module is used for judging according to the eating speed and reminding by adopting a preset reminding mode when the eating speed meets a preset reminding condition.
In one embodiment, the apparatus further comprises an analysis module,
the analysis module is used for analyzing the acquired eating speed.
In one embodiment, the apparatus further comprises a display module,
and the display module is used for displaying the acquired eating speed.
In one embodiment, one or more of the following modules are located on the same or different physical devices: the device comprises a first acquisition module, a second acquisition module, a third acquisition module, a reminding module, an analysis module and a display module.
The method and the device for acquiring the eating speed, provided by the embodiment of the invention, are used for acquiring the acceleration information of an acceleration sensor, wherein the acceleration sensor is arranged on eating tableware; analyzing the acceleration information to obtain a feeding action period; and acquiring the eating speed in the eating action period. The technical scheme of the embodiment of the invention identifies the eating speed based on the acceleration signal, is simple and convenient to realize and has higher usability; in addition, according to the embodiment of the invention, the relevant data of the food intake speed identification is transmitted to the mobile terminal for the mobile terminal to perform statistical analysis, so that the analysis accuracy can be further improved.
Drawings
FIG. 1 is a flowchart illustrating a method for obtaining eating speed according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a three-axis acceleration sensor mounted on eating utensils (chopsticks) in an embodiment;
FIG. 3 is a diagram illustrating a gravity acceleration component of the Y-axis of the acceleration sensor in a eating state according to an embodiment;
FIG. 4 is a schematic diagram illustrating the recognition of the status and eating speed of a complete meal according to an embodiment of the present invention;
FIG. 5 is a schematic view of a device for obtaining eating speed according to an embodiment of the present invention;
FIG. 6 is a schematic view of another embodiment of a device for obtaining eating speed;
FIG. 7 is a schematic view of another embodiment of a device for obtaining eating speed;
FIG. 8 is a schematic view of another embodiment of a device for obtaining eating speed;
fig. 9 is a schematic structural diagram of an end-to-end system according to an embodiment of the present invention.
Detailed Description
In order to identify eating speed simply and effectively, the embodiment of the invention provides a scheme for identifying eating speed based on the lightweight of the acceleration signal.
Specifically, the embodiment of the present invention uses an acceleration signal to identify a key motion of food intake, and identifies a cycle of each food intake motion, so as to identify a food intake speed, as shown in fig. 1, the embodiment of the present invention provides a method for obtaining a food intake speed, the method includes:
step 11: and acquiring acceleration information of an acceleration sensor, wherein the acceleration sensor is arranged on the eating tableware.
Fig. 2 is a schematic diagram showing a case where a three-axis acceleration sensor is provided on eating utensils (chopsticks) in an embodiment, and as shown in fig. 2, the Y-axis of the three-axis acceleration sensor is aligned with the handle direction of the eating utensils (chopsticks).
Step 12: analyzing the acceleration information to obtain a feeding action period;
step 13: and acquiring the eating speed in the eating action period.
In one embodiment, a complete meal session is classified into 3 states, respectively:
the tableware is placed. The tableware is placed on a table;
the tableware is taken up. The tableware is held in hands, and actions such as food clamping and the like are included;
a fed state. A meal cycle begins when the user picks up the meal item and feeds it into the mouth, and ends when the user feeds it and drops it down.
In other words, in this embodiment, the eating activity cycle includes: a food service tableware placing state, a food service tableware taking state and a food service state.
In one embodiment, the Y-axis of the acceleration sensor is aligned with the handle of the eating utensil,
in one embodiment, the recognizing the eating speed by calculating the time interval between adjacent eating states, namely, the analyzing the acceleration information to obtain the eating action cycle, comprises:
the placing state of the eating utensils is judged by identifying the exercise intensity of the eating utensils, specifically according toCalculating the motion intensity TFA of the acceleration sensor, wherein xi 2Is the square of the signal of the ith axis of the acceleration sensor, and determines that the eating utensil is in a resting state when TFA is less than a first threshold value.
Determining that the eating utensil is in the eating state when the acceleration sensor continuously experiences a first action, a second action, a third action and a fourth action, wherein the first action corresponds to the direction of the Y-axis gravity acceleration of the acceleration sensor being downward, the second action corresponds to the Y-axis gravity acceleration of the acceleration sensor being increased, and then a concave waveform appears, the third action corresponds to the Y-axis gravity acceleration of the acceleration sensor being increased again, and the fourth action corresponds to the Y-axis gravity acceleration of the acceleration sensor being decreased.
FIG. 3 is a schematic diagram of the acceleration sensor's Y-axis gravitational acceleration component in a eating state according to an embodiment, as shown in FIG. 3, there are 4 consecutive movements in a typical eating state, wherein the movement 1 is the start movement, in which the direction of the tableware is downward, and the direction of the Y-axis gravitational acceleration is downward; action 2 is to send food to the mouth, at the moment, the gravity acceleration of the Y axis is in a rising state, and a concave waveform which appears due to the deceleration action appears at the end of sending the food to the mouth; action 3 is to feed the food into the mouth from the mouth, at which time the gravity acceleration of the Y axis rises again to reach a peak value; action 4 is to lower the dish while the Y-axis gravitational acceleration is at the falling edge.
According to the analysis of the eating state action, the method for identifying the eating state can be adopted as follows:
separating the gravity acceleration component from the original signal of the Y axis through a low-pass filter;
setting values of empirical thresholds D0, D1 and D2;
finding a rising edge, wherein the minimum value point is required to be smaller than D0, and the maximum value point is required to be larger than D1;
finding a falling edge, wherein a minimum value point is required to be smaller than D2;
the thresholds D0, D1, and D2 are dynamically updated.
In addition, in the embodiment of the present invention, the time period which is not recognized as the food service placing state and the food service state is determined as the taking state of the food service.
In one embodiment, the acquiring the eating speed in the eating motion period includes:
according toCalculating the eating rate, wherein TiIs the time of occurrence of the most recent eating state, Ti-1Is the time when the previous eating state occurred, mu is a constant coefficient.
The recognition situation of the complete meal state and the meal taking speed of the embodiment of the invention is shown in fig. 4.
In one embodiment, after acquiring the eating speed in the eating action period, the method further includes:
and judging according to the eating speed, and reminding by adopting a preset reminding mode when the eating speed meets a preset reminding condition.
In one embodiment, after acquiring the eating speed in the eating action period, the method further includes:
analyzing and/or displaying the obtained eating speed.
In a specific embodiment, the step of obtaining the acceleration information of the acceleration sensor, and/or obtaining the eating action period and/or obtaining the eating speed in the eating action period is performed by an eating speed obtaining device arranged on the eating utensil, or performed by an eating speed obtaining device arranged on the user terminal device.
Correspondingly, an embodiment of the present invention further provides a device for obtaining a food intake speed, as shown in fig. 5, the device includes: a first acquisition module 51, a second acquisition module 52 and a third acquisition module 53; wherein,
the first obtaining module 51 is configured to obtain acceleration information of an acceleration sensor, where the acceleration sensor is disposed on the eating utensil;
the second obtaining module 52 is configured to analyze the acceleration information to obtain a feeding action cycle;
the third obtaining module 53 is configured to obtain a eating speed in the eating action period.
In an embodiment, the second obtaining module 52 is specifically configured to obtain the data according toCalculating the motion intensity TFA of the acceleration sensor, wherein xi 2Is the square of the signal of the ith axis of the acceleration sensor, and when TFA is smaller than a first threshold value, the tableware is determined to be in a placing state; and determining that the eating utensil is in the eating state when the acceleration sensor continuously experiences a first action, a second action, a third action and a fourth action, wherein the first action corresponds to the direction of the Y-axis gravity acceleration of the acceleration sensor being downward, the second action corresponds to the Y-axis gravity acceleration of the acceleration sensor being increased, and then a concave waveform appears, the third action corresponds to the Y-axis gravity acceleration of the acceleration sensor being increased again, and the fourth action corresponds to the Y-axis gravity acceleration of the acceleration sensor being decreased; and determining a time period that is not identified as a food service placement state and a food service state as a pick-up state of the food service.
In an embodiment, the third obtaining module 53 is specifically configured to obtain the data according toCalculating the eating rate, wherein TiIs the time of occurrence of the most recent eating state, Ti-1Is the time when the previous eating state occurred, mu is a constant coefficient.
In one embodiment, as shown in fig. 6, the device further comprises a reminder module 54,
the reminding module 54 is configured to judge according to the eating speed, and when the eating speed meets a preset reminding condition, remind in a preset reminding manner.
In one embodiment, as shown in fig. 7, the apparatus further comprises an analysis module 55,
the analysis module 55 is configured to analyze the obtained eating speed.
In one embodiment, as shown in fig. 8, the apparatus further comprises a display module 56,
the display module 56 is configured to display the obtained eating speed.
It should be noted that one or more of the following modules are located on the same or different physical devices (including but not limited to eating utensils, user terminal devices): the system comprises a first acquisition module 51, a second acquisition module 52, a third acquisition module 53, a reminding module 54, an analysis module 55 and a display module 56.
Fig. 9 is a schematic structural diagram of an end-to-end system according to an embodiment of the present invention, and as shown in fig. 9, the system includes: the intelligent tableware integrated with the accelerometer and the transmission module, the mobile phone user terminal equipment and the cloud platform service system.
The intelligent tableware can identify eating behaviors in real time, calculate eating speed, send out a prompt (an LED lamp) when the speed is too high, and meanwhile, the data transmission module sends eating behavior identification information to the user terminal equipment. The user can set personalized information such as age, gender, eating speed reminding and the like through the user terminal equipment, and meanwhile, historical data and guidance suggestions are checked. And uploading the data of the user terminal equipment to the cloud end through wifi/3G/4G, and performing data storage backup, platform end data display and data mining.
Based on the system shown in fig. 9, data transmission in the intelligent tableware terminal, the mobile phone user terminal device and the cloud platform can be realized, and data statistical analysis can be conveniently performed.
As can be seen from the above description, the embodiments of the present invention have the following advantages:
1) the method can remind the user of paying attention to the eating speed in the low-perception state, and help the user develop good eating habits.
2) The embedded acceleration sensor lightweight algorithm has the advantages of strong real-time performance, low power consumption and low cost, and the algorithm is integrated in tableware or user terminal equipment, so that the user perception is low, and the application scene is wide.
Each of the modules may be implemented by a Central Processing Unit (CPU), a Digital Signal Processor (DSP), or a programmable logic array (FPGA) in the electronic device.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.

Claims (14)

1. A method of obtaining a rate of food intake, the method comprising:
acquiring acceleration information of an acceleration sensor, wherein the acceleration sensor is arranged on eating tableware;
analyzing the acceleration information to obtain a feeding action period;
and acquiring the eating speed in the eating action period.
2. The method of claim 1, wherein the eating activity cycle comprises: a food service tableware placing state, a food service tableware taking state and a food service state.
3. The method of claim 2, wherein a Y-axis of the acceleration sensor is aligned with a handle direction of the eating utensil,
the analyzing the acceleration information to obtain the eating action cycle comprises the following steps:
according toCalculating the motion intensity TFA of the acceleration sensor, wherein xi 2Is the square of the signal of the ith axis of the acceleration sensor, and when TFA is smaller than a first threshold value, the tableware is determined to be in a placing state;
determining that the eating utensil is in the eating state when the acceleration sensor continuously experiences a first action, a second action, a third action and a fourth action, wherein the first action corresponds to the direction of the Y-axis gravity acceleration of the acceleration sensor being downward, the second action corresponds to the Y-axis gravity acceleration of the acceleration sensor being increased, and then a concave waveform appears, the third action corresponds to the Y-axis gravity acceleration of the acceleration sensor being increased again, and the fourth action corresponds to the Y-axis gravity acceleration of the acceleration sensor being decreased;
determining a time period that is not identified as a food service placement state and a food service state as a pick-up state of the food service.
4. The method of claim 2, wherein said obtaining a eating rate over the period of eating activity comprises:
according toCalculating the eating rate, wherein TiIs the current most recent eating status occurringTime of (T)i-1Is the time when the previous eating state occurred, mu is a constant coefficient.
5. The method of any one of claims 1 to 4, wherein after said obtaining the eating rate during said eating activity cycle, the method further comprises:
and judging according to the eating speed, and reminding by adopting a preset reminding mode when the eating speed meets a preset reminding condition.
6. The method of any one of claims 1 to 4, wherein after said obtaining the eating rate during said eating activity cycle, the method further comprises:
analyzing and/or displaying the obtained eating speed.
7. A method according to any one of claims 1 to 4, wherein the step of obtaining acceleration information from an acceleration sensor, and/or obtaining a eating motion cycle, and/or obtaining a eating speed during said eating motion cycle, is performed by eating speed obtaining means provided on the eating utensil, or by eating speed obtaining means provided on the user terminal device.
8. A device for obtaining eating rate, the device comprising: the system comprises a first acquisition module, a second acquisition module and a third acquisition module; wherein,
the first acquisition module is used for acquiring acceleration information of an acceleration sensor, and the acceleration sensor is arranged on the eating tableware;
the second acquisition module is used for analyzing the acceleration information and acquiring a feeding action period;
and the third acquisition module is used for acquiring the eating speed in the eating action period.
9. The apparatus of claim 8,
the second obtaining module is specifically used for obtainingCalculating the motion intensity TFA of the acceleration sensor, wherein xi 2Is the square of the signal of the ith axis of the acceleration sensor, and when TFA is smaller than a first threshold value, the tableware is determined to be in a placing state; and determining that the eating utensil is in the eating state when the acceleration sensor continuously experiences a first action, a second action, a third action and a fourth action, wherein the first action corresponds to the direction of the Y-axis gravity acceleration of the acceleration sensor being downward, the second action corresponds to the Y-axis gravity acceleration of the acceleration sensor being increased, and then a concave waveform appears, the third action corresponds to the Y-axis gravity acceleration of the acceleration sensor being increased again, and the fourth action corresponds to the Y-axis gravity acceleration of the acceleration sensor being decreased; and determining a time period that is not identified as a food service placement state and a food service state as a pick-up state of the food service.
10. The apparatus of claim 8,
the third obtaining module is specifically configured to obtainCalculating the eating rate, wherein TiIs the time of occurrence of the most recent eating state, Ti-1Is the time when the previous eating state occurred, mu is a constant coefficient.
11. The device of any one of claims 8 to 10, further comprising a reminder module,
and the reminding module is used for judging according to the eating speed and reminding by adopting a preset reminding mode when the eating speed meets a preset reminding condition.
12. The device according to any one of claims 8 to 10, further comprising an analysis module,
the analysis module is used for analyzing the acquired eating speed.
13. The device according to any one of claims 8 to 10, further comprising a display module,
and the display module is used for displaying the acquired eating speed.
14. The apparatus according to any one of claims 8 to 10, wherein one or more of the following modules are located on the same or different physical devices: the device comprises a first acquisition module, a second acquisition module, a third acquisition module, a reminding module, an analysis module and a display module.
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CN110638293A (en) * 2019-09-27 2020-01-03 刘家祺 Intelligent tableware and using method thereof
CN111738879A (en) * 2020-06-19 2020-10-02 北京明略软件系统有限公司 Method and device for estimating time for making dishes

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WO2010107361A1 (en) * 2009-03-19 2010-09-23 Mandometer Ab Method and system for measuring and presenting eating rate
WO2012006052A3 (en) * 2010-06-29 2012-04-19 Contant Olivier M Dynamic scale and accurate food measuring
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110638293A (en) * 2019-09-27 2020-01-03 刘家祺 Intelligent tableware and using method thereof
CN111738879A (en) * 2020-06-19 2020-10-02 北京明略软件系统有限公司 Method and device for estimating time for making dishes

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