JP2018180802A - Dietary life estimation system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a dietary life estimation system capable of easily estimating information about dietary life of a person.SOLUTION: A dietary life estimation system includes: a human detection unit (a kitchen human detection sensor 110, a dining human detection sensor 120 and a bedroom human detection sensor 130) for detecting the position of a person in a dwelling house 1; and a control device 200 for estimating information about dietary life of the person on the basis of a detection result by the human detection unit.SELECTED DRAWING: Figure 2

Description

  The present invention relates to the technology of a eating habit estimation system that estimates information on the eating habits of a person.

  Conventionally, the technique of the eating habits estimation system which estimates the information regarding a person's eating habits is known. For example, it is as described in Patent Document 1.

  Patent Document 1 describes an apparatus capable of acquiring information on the diet of a person. Specifically, Patent Document 1 describes a wearable device capable of acquiring ingested calories based on reflected light reflected by food. By using the wearable device, it is possible to calculate the calories consumed by the user by eating.

JP, 2016-81407, A

  However, the technology described in Patent Document 1 is disadvantageous in that the user needs to carry a device (wearable device) for acquiring the intake calories, so that acquiring the intake calories is complicated.

  The present invention has been made in view of the circumstances as described above, and it is an object of the present invention to provide a dietary life estimation system capable of easily estimating information on the dietary life of a person.

  The problem to be solved by the present invention is as described above, and next, means for solving the problem will be described.

  That is, it comprises a person detection unit that detects the position of a person in a house, and a control device that estimates information about the eating habits of a person based on the detection result by the person detection unit.

In addition, the information on the eating habits includes the form of eating whether the person eats out or eats inside, and the control device is based on the time when the person stayed in a predetermined room in the house. The form of eating of the person may be estimated.
With such a configuration, it is possible to easily estimate a person's eating form.

Further, the information on the eating habits may include calories consumed by the person, and the control device may estimate the calories consumed by the person based on the estimated form of eating.
With such a configuration, it is possible to easily estimate the calorie intake of a person.

In addition, it further comprises a eating facility use condition detection unit for detecting information related to the use condition of equipment installed in the house, and the control device is used by the eating facility use condition detection unit. The information on the estimated eating habits may be corrected based on the information on
With such a configuration, it is possible to improve the estimation accuracy of the calorie intake of a person.

In addition, it further comprises a sleep facility usage status detection unit that detects information regarding the usage status of the sleep related equipment installed in the house, and the information regarding the diet includes the time when the person has eaten, The control device estimates the time at which the person has eaten based on the time when the person stayed in a predetermined room in the house, and also uses the information on the use status detected by the sleep facility use status detection unit The bedtime of the person may be estimated based on the difference between the estimated time of meal of the person and the bedtime of the person.
Such a configuration makes it possible to grasp the time from meal to bedtime.

Moreover, based on the information on the use condition detected by the eating facility use condition detection unit for detecting information on the use condition of the facility related to the meal installed in the house, and the food facility use condition detection unit, And a controller configured to estimate information on life.
With such a configuration, it is possible to easily estimate information on the diet of a person.

  The effects of the present invention are as follows.

  It is possible to easily estimate information on the eating habits of people.

The schematic diagram which showed the schematic structure of the house. The schematic diagram which showed each sensor and camera provided in the house. The block diagram which showed the eating habits estimation system. The figure which showed an example of the display content of a display apparatus. The schematic diagram which showed the other example of a person detection part.

  First, a schematic configuration of a house 1 to which a diet estimation system 100 according to an embodiment of the present invention is applied will be described using FIG. 1.

  FIG. 1 illustrates a part of the first floor and the second floor of the house 1. On the first floor of the house 1, an entrance 2, a corridor 3, a living / dining 4, a Japanese-style room 5, a kitchen 6, a toilet 7, a washroom dressing room 8, a bathroom 9, a staircase 10 and the like are provided. In the second floor portion of the house 1, a bedroom 12 and the like are provided. Doors are provided as appropriate between adjacent rooms.

  Next, the structure of the eating habits estimation system 100 is demonstrated using FIG.2 and FIG.3. The eating habits estimation system 100 is for estimating information on the eating habits of a person (in this embodiment, in particular, a resident of the housing 1) in the housing 1. In addition, the information on the eating habits widely includes the form of eating (whether it is an internal eating or eating out) taken by a person, the contents of the eating, the calorie intake, the time to eat, etc. The eating habits estimation system 100 mainly includes a kitchen human sensor 110, a dining human sensor 120, a bedroom human sensor 130, a lighting sensor 140, a refrigerator sensor 150, a microwave sensor 160, an IH sensor 170, a camera 180, a display device 190 and A control device 200 is provided.

  The kitchen person sensor 110, the dining person sensor 120, and the bedroom person sensor 130 detect the position of a person in the house 1. The said kitchen human sensor 110 grade | etc., Is comprised by non-contact-type sensors, such as an infrared sensor and a Doppler sensor.

  The kitchen human sensor 110 is provided in the kitchen 6 and can detect whether a person is present in the kitchen 6 or not.

  The dinning sensor 120 is provided in the living-dining 4 (in particular, the dining part), and can detect whether a person is present in the dining part.

  The bedroom human sensor 130 is provided in the bedroom 12 and can detect whether a person is present in the bedroom 12 or not.

  The illumination sensor 140 detects the usage condition of the illumination 6 a provided in the kitchen 6. The illumination sensor 140 can detect the usage condition (the presence or absence of lighting) of the illumination 6a by detecting the power (current or voltage) flowing through the wiring of the illumination 6a.

  The refrigerator sensor 150 detects the usage condition of the refrigerator 6 b provided in the kitchen 6. The refrigerator sensor 150 can detect the opening and closing of the door of the refrigerator 6b by detecting the electric power (in particular, the fluctuation of the voltage) flowing through the wiring of the refrigerator 6b.

  The microwave oven sensor 160 detects the usage condition of the microwave oven 6 c provided in the kitchen 6. The microwave range sensor 160 can detect the usage status (use / non-use) of the microwave oven 6 c by detecting the power (current or voltage) flowing through the wiring of the outlet for the microwave oven 6 c.

  The IH sensor 170 detects the usage condition of the IH cooking heater 6 d provided in the kitchen 6. The IH sensor 170 can detect the usage status (use / non-use) of the IH cooking heater 6 d by detecting the power (current or voltage) flowing through the wiring for the IH cooking heater 6 d.

  The camera 180 is for photographing the inside of the house 1 (in particular, the person in the house 1). The camera 180 is provided in each of the living and dining 4 (in particular, the dining section), the kitchen 6 and the bedroom 12 and can capture each room.

  The display device 190 is for displaying various types of information. The display device 190 is configured of a liquid crystal display or the like. The display device 190 is provided on the wall of the living and dining room 4.

  The control device 200 shown in FIG. 3 estimates information on the eating habits of a person from various types of information. The control device 200 mainly includes an arithmetic processing unit such as a CPU, a storage device such as a RAM or a ROM, and an input / output device such as an I / O. The control device 200 stores various information, programs, and the like for estimating information on the eating habits of a person.

For example, in the control device 200, a floor plan of the house 1 (information regarding the position and dimensions of a room or a door) and the position of the kitchen human sensor 110 or the like are stored.
The control device 200 also stores image data of the face of each resident of the house 1 and a face recognition program for recognizing (identifying) the face of a person photographed by the camera 180.

  Further, the control device 200 is connected to the kitchen human sensor 110, the dining human sensor 120, the bedroom human sensor 130, the illumination sensor 140, the refrigerator sensor 150, the microwave sensor 160, the IH sensor 170, the camera 180 and the display device 190. Be done.

  Hereinafter, the operation mode of the eating habit estimation system 100 configured as described above will be described.

  The eating habits estimation system 100 mainly estimates (1) consumed calories of a person (in particular, a resident), and (2) estimates a time interval from the time when the last meal was taken to the time of bedtime. Hereinafter, the estimation methods of (1) and (2) will be described in order.

  First, the method for the dietary life estimation system 100 to estimate the (1) intake calories of a person (in particular, a resident) will be described.

  Control device 200 determines whether a resident is present in kitchen 6 or living / dining 4 (in particular, the dining part) based on detection signals received from kitchen human sensor 110 and dining human sensor 120. be able to.

  Here, when the resident is staying in the kitchen 6 continuously for a predetermined time or more, it is considered that the resident is preparing a meal. Therefore, when the resident is staying in the kitchen 6 continuously for a predetermined time or more, the control device 200 estimates that the resident is preparing a meal. That is, in this case, the control device 200 presumes that the resident is eating at home (meal eating in the house 1).

  At this time, the control device 200 can also estimate whether or not the resident is eating at home taking into consideration the current time (time zone) in addition to the residence time of the resident in the kitchen 6. For example, when the resident stays in the kitchen 6 for a predetermined time or more in a time zone close to a general meal time, for example, the control device 200 estimates that the resident eats food. On the other hand, when the resident stays in the kitchen 6 for a predetermined time or more in a time zone apart from the meal time, the control device 200 is considered to have a low possibility of making a meal, so the resident I do not assume that he is making a meal.

  In this way, the control device 200 can estimate that the resident eats food from the staying time of the resident in the kitchen 6.

  The residence time of the resident in the kitchen 6 can also be estimated from the detection signal from the illumination sensor 140 instead of the kitchen human sensor 110. That is, it is possible to detect that the light 6a of the kitchen 6 is used by the light sensor 140, and to estimate that the resident is staying in the kitchen 6 while the light 6a is being used.

  Furthermore, in general, residents are considered to eat immediately after making a meal. Therefore, after the resident continues staying in the kitchen 6 continuously for a predetermined time or more, the control device 200 estimates the time when the resident leaves the kitchen 6 as the time of meal of the resident.

  Further, in the present embodiment, also when the resident purchases a meal prepared at a restaurant or the like, and takes the meal in the house 1 (so-called home meal), the resident is considered to be eating at home . Here, when the resident does not stay in the kitchen 6 for a predetermined time or more and stays in the dining part for a predetermined time or more, the resident eats the food without making the food Conceivable. Therefore, when the resident does not stay in the kitchen 6 for a predetermined time or more and stays in the dining portion for a predetermined time or more, the control device 200 estimates that the resident eats a meal.

  Also in this case, the control device 200 also considers whether or not the resident is eating at home, taking into consideration the current time (time zone) (that is, taking into consideration whether it is a time zone close to a general meal time). It is possible to estimate

  In addition, when it is estimated that a meal form is a meal, the control apparatus 200 estimates the time when the resident began to stay in the dining part as the time of the resident's meal.

  On the other hand, even if the resident is not staying in the kitchen 6 and the dining part for a predetermined time or more despite the time period close to the meal time, it is assumed that the resident does not eat in the house 1 Conceivable. Therefore, although the control device 200 is in a time zone close to a meal time, when the resident does not stay in the kitchen 6 and the dining part for a predetermined time or more, the resident eats outside the house 1 Estimated to be taking. That is, in this case, the control device 200 presumes that the resident is eating out (meal eating outside the house 1).

  As described above, the control device 200 can estimate the eating condition (domestic or eating) of the resident from the residence time of the resident in the kitchen 6 and the dining part.

  Further, the control device 200 estimates the calorie intake of the resident based on the estimation result of the resident's internal diet and eating. Specifically, the control device 200 stores in advance information on general intake calories for eating internally and general intake calories for eating outside (or, the information is received via the Internet) Get it properly). The control device 200 can estimate the calorie intake of the resident from the information and the number of times the resident eats and eats out (for example, the number of times per day).

  Furthermore, the control device 200 corrects the resident's meal form (domestic or eating) and ingested calories estimated as described above based on the detection results of the refrigerator sensor 150, the microwave sensor 160, and the IH sensor 170. Can.

  For example, as described above, although the control device 200 is in a time zone close to a meal time, when the resident does not stay in the kitchen 6 and the dining part for a predetermined time or more, the resident is the home 1 It is presumed that he is eating outside (it is eating out). However, in this case, it is detected that the refrigerator 6b, the microwave oven 6c, and the IH cooking heater 6d have been used a predetermined number of times (or more than a predetermined time) from the detection results of the refrigerator sensor 150, the microwave oven 160, and the IH sensor 170. It can be considered that the resident made a meal in a short time.

  Therefore, when it is estimated from the detection result of the refrigerator sensor 150 or the like that the resident has made a meal, the control device 200 corrects the estimation result (outdoor eating) based on the residence time of the resident, and the resident It is estimated that you are eating internally.

  Also, for example, as described above, the control device 200 estimates the calorie intake of the resident based on the estimation result of the resident's internal diet and eating. Furthermore, when it is estimated that the resident is eating at home, the control device 200 can correct the intake calorie from the detection results of the refrigerator sensor 150, the microwave range sensor 160, and the IH sensor 170.

  Specifically, the control device 200 can grasp the usage status of the refrigerator 6b, the microwave oven 6c, the IH cooking heater 6d, and the like from detection signals from the refrigerator sensor 150, the microwave oven sensor 160, and the IH sensor 170. The control device 200 can roughly estimate the contents of the meal (fry, simmer, stir-fry, etc.) produced by the resident from the use condition. The control device 200 can correct the intake calorie value up and down on the basis of the estimation result (the contents of the meal) to obtain a more appropriate value.

  Next, the method for the eating habits estimation system 100 to estimate the time interval from the time when the last meal was taken in (2) 1 day to the bedtime will be described.

  As described in the description of the method for estimating the intake calories of a person (in particular, a resident), the control device 200 determines that the resident eats the meal, as described in the description of the method The time of day is also estimated. The control device 200 extracts the time of the last meal in one day from the estimated meal time of the resident.

  In addition, when a resident eats out, it is not possible to estimate a specific meal time. In this case, the time at which it is generally thought to eat may be estimated as the time of the resident's meal.

  Next, the control device 200 estimates the bedtime of the resident. Specifically, the control device 200 can grasp that a resident is present in the bedroom 12 based on a detection signal of the bedroom human sensor 130. When detecting that the resident has stayed in the bedroom 12 for a predetermined time or more, the control device 200 estimates that the resident goes to bed. In this case, the control device 200 estimates the time when the resident enters the bedroom 12 as the bedtime time.

  Next, the control device 200 calculates a time interval from the time of the last meal on the day of the resident to the time of bedtime. Thereby, the control device 200 can estimate the time from dinner to bedtime of the resident.

  In general, when dinner is taken immediately before bedtime, the stomach and intestines work actively and sleepiness gets worse, and there is a problem that digestion is worsened because the gastrointestinal tract does not work well during bedtime. For this reason, the time interval from the time when the last meal was taken in the above (2) 1 day to the time of bedtime can be used as the judgment standard of the quality of the eating habits. That is, by estimating the time interval from the time when the last meal was taken in the above (2) one day to the time of bedtime by the control device 200, it is possible to judge the quality of the eating habits of the resident.

  In addition, when performing the estimation of the above (1) and (2), the control device 200 uses the image of a person (face) photographed by the camera 180 to identify a person (resident) to be a target of estimation. Information on eating habits can be estimated for each person.

  The control device 200 can notify the person of the estimation result by displaying the estimation results of (1) and (2) on the display device 190. For example, as shown in FIG. 4, the control device 200 takes in the calories ingested per day of each resident (in the present embodiment, the residents A to C) of the residence 1 and the last meal from the last meal on the day The display time is displayed on the display device 190.

  At this time, the information on the eating habits displayed on the display device 190 may be information for only one day (for example, the previous day) or for a predetermined period (a plurality of days). Further, display on the display device 190 can be performed at any timing. For example, it is possible to display at a predetermined time every day or in response to a request (operation) of a resident.

As described above, the eating habits estimation system 100 according to the present embodiment
A person detection unit (a kitchen person detection sensor 110, a dining person detection sensor 120, and a bedroom person detection sensor 130) for detecting the position of a person in the housing 1;
A control device 200 configured to estimate information on eating habits of a person based on a detection result by the person detection unit;
The
By configuring in this way, it is possible to easily estimate information on the diet of a person. That is, it is possible to easily estimate the information without requiring a person to have an apparatus for estimating the information on the eating habits. As a result, the resident can estimate the information on the diet only by daily living in the house 1 without being conscious of the measurement of the diet.

In addition, the information on the eating habits
It includes the form of eating whether the person eats out or eats inside,
The controller 200 is
The eating form of the person is estimated based on the time when the person stayed in a predetermined room in the house 1.
By configuring in this manner, it is possible to easily estimate the form of eating by people.

In addition, the information on the eating habits
Contains the calories consumed by the person,
The controller 200 is
The calorie intake of the person is estimated based on the estimated meal form.
By configuring in this manner, it is possible to easily estimate the calorie intake of a person. That is, rough intake of calories can be easily estimated depending on whether a person eats or eats outside.

Also, the eating habits estimation system 100
A meal facility usage status detection unit (refrigerator sensor 150, microwave oven sensor 160 and IH sensor 170) for detecting information on usage status of facilities related to a meal installed in the house 1 is further provided,
The controller 200 is
The information related to the estimated eating habits is corrected based on the information related to the use state detected by the food facility use state detection unit.
By this configuration, it is possible to improve the estimation accuracy of the calorie intake of a person.

Also, the eating habits estimation system 100
It further comprises a sleep facility usage status detection unit (bedroom human detection sensor 130) for detecting information related to the usage status of the sleep related equipment installed in the house 1;
The information on the eating habits
It includes the time when the person ate,
The controller 200 is
The time at which the person has eaten is estimated based on the time when the person stayed in the predetermined room in the house 1, and the information on the use state detected by the sleep facility use state detection unit is used. Estimate the bedtime of a person,
The difference between the estimated time at which the person ate and the time at which the person went to bed is calculated.
By configuring in this way, it is possible to grasp the time from meal to bedtime. Based on the said time, a person's eating habit can be evaluated.

The kitchen human sensor 110, the dining human sensor 120, and the bedroom human sensor 130 according to this embodiment are an embodiment of a human detection unit.
Moreover, the refrigerator sensor 150, the microwave oven sensor 160, and the IH sensor 170 which concern on this embodiment are one form of a meal installation usage condition detection part.
In addition, the bedroom human sensor 130 according to the present embodiment is an embodiment of a sleep facility usage condition detection unit.

  As mentioned above, although embodiment was described, this invention is not limited to the said structure, A various change is possible within the range of the invention described in the claim.

  For example, the position at which various sensors are provided in the present embodiment is an example, and can be provided at any position. Moreover, although the use condition of the refrigerator 6b, the microwave oven 6c, and the IH cooking heater 6d is detected in this embodiment, it is possible to estimate the eating habits of a resident from the use condition of any other equipment.

  Further, the human detection unit for detecting the position of the human is not limited to the present embodiment. For example, it is also possible to use a sensor that detects a person who enters and leaves each room as a person detection unit. For example, as shown in FIG. 5, sensors (a first bedroom human sensor 131 and a second bedroom human sensor 132) are provided on the inside and outside of the door of the bedroom 12 and detection timings of the two sensors (before and after detection time) From the relationship, it is also possible to detect whether a person has entered or left the bedroom 12.

  Further, in the present embodiment, the control device 200 causes the display device 190 to display information on the estimated eating habits, but it is also possible to display an advice based on the estimated eating habits as well. . Specifically, the control device 200 compares the intake calories on a daily basis, and when it is determined that the intake calories are increasing, displays an advice that prompts the resident to reduce the intake calories. It can be displayed on the device 190. In addition, when the time from meal to bedtime is shorter than a predetermined time (time generally considered to be preferable), the control device 200 displays an advice for prompting to take a meal (supper) early. Can be displayed.

  Moreover, in this embodiment, although the control apparatus 200 presumes and displays information as shown in FIG. 4 as information regarding eating habits, it is possible to display various other information. For example, it is also possible to display the time of each meal of the resident, the number of eating out in a predetermined period (for example, one week), and the like. This allows the resident to consider the point of improvement in eating habits.

  Further, in the present embodiment, information on eating habits is displayed on the display device 190, but such information may be displayed on another display device (for example, a television provided in the house 1 or a portable terminal owned by a resident) Etc.).

  Also, in the present embodiment, the case where the resident purchases a meal made at a restaurant or the like and takes the meal in the house 1 (so-called home meal) is also regarded as a meal, but this is for convenience For example, the home food may be regarded as eating out. In addition, the control device 200 can separately estimate the in-house meal separately from the in-house meal and the in-house meal.

  Further, in the present embodiment, information (diet shape and intake calorie intake) related to eating habits is estimated based on the position of a person, but it is detected by, for example, the refrigerator sensor 150, the microwave range sensor 160 and the IH sensor 170. It is also possible to estimate information on a person's eating habits (diet form and calorie intake) from information on the usage of the refrigerator 6b, the microwave 6c and the IH cooking heater 6d.

  For example, when it is detected from the detection results of the refrigerator sensor 150, the microwave oven 160, and the IH sensor 170 that the refrigerator 6b, the microwave oven 6c, and the IH cooking heater 6d have been used a predetermined number of times (or more than a predetermined time), Residents can be presumed to have made a meal.

That is, the eating habits estimation system 100
A food facility usage status detection unit (refriger sensor 150, microwave oven sensor 160 and IH sensor 170) for detecting information on usage status of facilities related to a meal installed in the housing 1;
A control device 200 configured to estimate information on the eating habits of a person based on the information on the use state detected by the eating facility use state detecting unit;
It is also possible to have
By configuring in this way, it is possible to easily estimate information on the diet of a person.

DESCRIPTION OF SYMBOLS 100 food-life estimation system 110 kitchen human sensor 120 dining human sensor 130 bedroom human sensor 140 light sensor 150 refrigerator sensor 160 microwave sensor 170 IH sensor 180 camera 190 display device 200 controller

Claims (6)

A person detection unit for detecting the position of a person in a house;
A control device configured to estimate information on a person's eating habit based on a detection result by the person detection unit;
Dietary life estimation system equipped with The information on the eating habits
It includes the form of eating whether the person eats out or eats inside,
The controller is
Estimating the eating form of the person based on the time when the person stayed in a predetermined room in the house,
The eating habits estimation system according to claim 1. The information on the eating habits
Contains the calories consumed by the person,
The controller is
Estimate the calorie intake of the person based on the estimated meal form;
The eating habits estimation system according to claim 2. The system further comprises a meal facility usage status detecting unit that detects information on the usage status of facilities associated with a meal installed in the house,
The controller is
The information on the estimated eating habits is corrected based on the information on the use condition detected by the eating facility use condition detection unit,
The eating habits estimation system according to any one of claims 1 to 3. A sleep facility usage status detection unit for detecting information related to the usage status of the sleep related equipment installed in the house;
The information on the eating habits
It includes the time when the person ate,
The controller is
The time at which the person ate is estimated based on the time when the person stayed in a predetermined room in the house, and the person is estimated based on the information on the use state detected by the sleep facility use state detection unit. Estimate the bedtime of
Calculate the difference between the estimated time at which the person ate and the person's bedtime;
The eating habits estimation system according to any one of claims 1 to 4. A food facility usage status detection unit that detects information on the usage status of facilities associated with a meal installed in a home;
A control device that estimates information on the eating habits of a person based on the information on the use state detected by the eating facility use state detecting unit;
Dietary life estimation system equipped with

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