Processing device, processing method, processing program, and weight display system

Abstract

To achieve a processing device capable of suppressing decline in motivation of weight reduction.SOLUTION: A processing device (5) includes: a personal data acquisition unit (51) configured to acquire personal data including weight data of a weight loser; a living data acquisition unit (52) configured to acquire living data of the weight loser; and a calculation unit (53) configured to calculate corrected weight based on a correction term generated from the personal data and the living data, and the measured weight of the weight loser.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to a processing device, a processing method, a processing program, and a weight display system. [Background technology]

[0002] For example, the avatar health and body shape prediction system of Patent Document 1 simulates one's own body shape and health condition after a given period of time based on health checkup data, dietary data, etc., and displays the current avatar and the avatar after the given period of time, as well as ways to deal with changes in body shape. This allows one to imagine, for example, the body shape of a person who has lost weight (i.e., is on a diet) after a given period of time has passed. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2007-310632 A Summary of the Invention [Problem to be solved by the invention]

[0004] The present applicant has found the following problem. In general, when a person loses weight, their weight may increase during a plateau in their weight loss. Therefore, in the avatar health and body shape prediction system of Patent Document 1, the body shape of the person who is losing weight after an arbitrary period of time has passed during the weight loss process may be displayed as being fatter than their current body shape, which may discourage the person from losing weight.

[0005] The present disclosure has been made to solve such problems, and provides a processing device, a processing method, a processing program, and a weight display system that can suppress a decline in motivation to lose weight. [Means for solving the problem]

[0006] A processing device according to an embodiment of the present disclosure includes: a personal data acquisition unit for acquiring personal data including weight data of a person who has lost weight; A life data acquisition unit that acquires life data of the person who lost weight; A calculation unit that calculates a correction weight based on a correction term generated from the personal data and the life data and the measured weight of the person who is to lose weight; Equipped with.

[0007] In the above-mentioned processing device, it is preferable that the calculation unit estimates a plateau of weight loss of the person losing weight based on the difference between a theoretical weight calculated from the personal data and the lifestyle data and the measured weight of the person losing weight, and calculates the corrected weight at the plateau of weight loss.

[0008] The above-mentioned processing device preferably includes a control unit for controlling the weight scale to display the corrected weight.

[0009] In the above-mentioned processing device, it is preferable that the life data acquisition unit acquires exercise history data or diet history data of the person losing weight as the life data.

[0010] A weight display system according to one embodiment of the present disclosure includes: The processing device as described above; a weight scale that displays the corrected weight; Equipped with.

[0011] The above-mentioned body weight display system preferably includes a detection unit that detects food ingested by the person losing weight.

[0012] In the above-mentioned weight display system, the weight scale preferably includes a selection unit that selects whether to display the measured weight or the corrected weight of the person losing weight.

[0013] A processing method according to one aspect of the present disclosure includes: acquiring personal data including weight data of the person who lost weight; acquiring life data of the person who lost weight; A step of calculating a corrected weight based on a correction term generated from the personal data and the life data and the measured weight of the person who is losing weight; Equipped with.

[0014] A processing program according to an embodiment of the present disclosure includes: obtaining personal data, including weight data, of the person who lost weight; A process of acquiring life data of the person who lost weight; A process of calculating a correction weight based on a correction term generated from the personal data and the life data and the measured weight of the person who is losing weight; to be executed by the computer. Effect of the Invention

[0015] The present disclosure makes it possible to realize a processing device, a processing method, a processing program, and a weight display system that can suppress a decline in motivation to lose weight. [Brief description of the drawings]

[0016] [Figure 1] 3 is a block diagram showing the configuration of a control system of the weight display system of the embodiment 1. FIG. [Diagram 2] FIG. 1 is a diagram showing the relationship between measured weight, corrected weight, and theoretical weight and time during weight loss. [Diagram 3] FIG. 2 is a flow chart showing the flow of processing by the processing device of the first embodiment. [Figure 4] FIG. 11 is a block diagram showing the configuration of a control system of the weight display system of the embodiment 2. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0017] Hereinafter, specific embodiments to which the present disclosure is applied will be described in detail with reference to the drawings. However, the present disclosure is not limited to the following embodiments. In addition, the following description and drawings are appropriately simplified.

[0018] <Embodiment 1> Fig. 1 is a block diagram showing the configuration of a control system of the weight display system of this embodiment. The weight display system 1 of this embodiment is suitable for displaying the weight of a person who is currently losing weight. As shown in Fig. 1, the weight display system 1 includes a weight scale 2, a first detection unit 3, a second detection unit 4, a processing device 5, and a database (DB) 6.

[0019] The weighing scale 2, the first detection unit 3, the second detection unit 4, the processing device 5, and the database 6 are connected via a network 7. Here, the network 7 is a wired or wireless communication line, for example, the Internet.

[0020] The weighing scale 2 has, for example, a configuration substantially similar to that of a general weighing scale, and is configured to measure the weight of a person (i.e., a person who is losing weight) who stands on the weighing scale 2 with a load sensor 2a and display the weight on a display unit 2b. The weighing scale 2 transmits the weight data of the person who is losing weight to the DB 6.

[0021] The first detection unit 3 includes a sensor for detecting meals of the person on a diet. The first detection unit 3 includes an image sensor installed, for example, in a dining room at home, and obtains images of meals taken by the person on a diet as meal data. Here, meals are not limited to breakfast, lunch, and dinner, but also include snacks (snacks) and midnight snacks. The first detection unit 3 transmits the meal data to the DB 6 in association with meal time data.

[0022] The second detection unit 4 includes a sensor for detecting the motion of the person losing weight. The second detection unit 4 includes, for example, a motion sensor that can be attached to the person losing weight, and acquires the motion data of the person losing weight. However, the second detection unit 4 only needs to include a sensor that can detect the motion of the person losing weight, and may include, for example, an imaging sensor.

[0023] Here, the exercise is not only walking, jogging, cycling, but also any movement that a person who is losing weight burns calories, such as moving, etc. The second detection unit 4 transmits the exercise data to the DB 6 in association with the exercise time data.

[0024] 1, the processing device 5 includes a personal data acquisition unit 51, a life data acquisition unit 52, a calculation unit 53, and a control unit 54. The processing device 5 can be realized by one or more computers. The processing device 5 is typically an information processing device such as a server device.

[0025] Specifically, the processing device 5 includes a memory for storing programs, etc., and a processor for executing the programs, etc. The processing device 5 may include a plurality of processors for performing distributed processing.

[0026] The personal data acquisition unit 51 acquires personal data on the person who is losing weight. The personal data is data indicating the weight, height, age, sex, etc. of the person who is losing weight. At this time, the personal data may include data indicating the user's body fat percentage, body fat mass, muscle mass, etc. The personal data acquisition unit 51 can acquire the personal data from the DB6.

[0027] The life data acquiring unit 52 includes a meal history data acquiring unit 52a and an exercise history data acquiring unit 52b. The meal history data acquiring unit 52a acquires the meal history data of the weight loss person, which is an example of the life data of the weight loss person.

[0028] In detail, the meal history data acquisition unit 52a estimates a meal menu based on the meal data associated with the meal time data acquired from the DB 6, and further estimates foods and their amounts included in the meal menu.Then, the meal history data acquisition unit 52a calculates the calorie intake of the meal menu based on the foods and their amounts included in the meal menu.

[0029] The calorie intake can be calculated by a method of calculating the calorie intake and nutrients by image analysis of image data of a typical meal. This allows the meal history data acquisition unit 52a to acquire meal history data in which the meal menu, meal time, and calorie intake are associated with each other. The meal history data acquisition unit 52a transmits the meal history data to DB6.

[0030] The exercise history data acquisition unit 52b acquires the exercise history data of the person who lost weight, which is an example of the life data of the person who lost weight. In detail, the exercise history data acquisition unit 52b estimates the exercise content and the amount of exercise based on the exercise data associated with the exercise time data acquired from the DB6.

[0031] The exercise content and the amount of exercise can be estimated using the same method as that used in a wearable device such as a general smart watch. This allows the exercise history data acquisition unit 52b to acquire exercise history data in which the exercise content, the exercise time, and the amount of exercise are associated with each other. At this time, the exercise history data may include data such as heart rate and body temperature. The exercise history data acquisition unit 52b transmits the exercise history data to DB6.

[0032] The calculation unit 53 calculates the corrected weight based on the correction term generated from the personal data and the life data and the measured weight of the person who is losing weight. Here, Fig. 2 is a diagram showing the relationship between the measured weight, the corrected weight, and the theoretical weight during weight loss and time. In Fig. 2, the measured weight is indicated by a solid line, the corrected weight is indicated by a dashed line, and the theoretical weight is indicated by a broken line.

[0033] The corrected body weight can be calculated using the following formula 1. <Formula 1> Corrected weight = current measured weight - correction term Here, the current measured weight is the weight of the person who is losing weight, measured this time by the weighing scale 2. The correction term can be calculated by the following <Formula 2>.

[0034] <Formula 2> Correction term = (current measured weight - theoretical weight) x K1 Here, the theoretical body weight is an estimated body weight based on the relationship between calories ingested and calories burned, without being affected by periods of stagnation in weight loss, and for example, as shown in Figure 2, if, during a period of stagnation in weight loss, calories burned are greater than calories ingested, the theoretical body weight will show a small value relative to the current measured body weight.

[0035] The theoretical body weight can be calculated by the following formula 3. K1 is an adjustment parameter that determines how much the current measured body weight should be corrected, and should be increased, for example, as the difference between the current measured body weight and the theoretical body weight increases.

[0036] In other words, it is good for K1 to have a larger value during the plateau period than during the steady period when weight loss is progressing smoothly. Note that the plateau period of weight loss occurs due to the homeostasis of the body of the person losing weight, the loss of muscle mass due to weight loss, and the disruption of hormone balance due to weight loss.

[0037] <Formula 3> Theoretical weight = previous measured weight + (calories ingested - calories expended) x K2 Here, the previously measured weight is the weight of the person who is to lose weight that was measured last time by the weighing scale 2. The calories ingested are the calories ingested within a predetermined period (for example, the period from when the person who is to lose weight last measured their weight to when the person who is to lose weight this time) and the calories burned are the calories burned within that period.

[0038] In this case, the calorie intake can be calculated based on the meal history data, and the calorie consumption can be calculated based on the personal data and the exercise history data. The calorie consumption can be calculated by a general method for calculating the calorie consumption.

[0039] K2 is an adjustment parameter that determines how much of the value obtained by subtracting the calories burned from the calories ingested should be reflected in the previous measured weight, and can be set based on the relationship between the previous measured weight, the calories ingested, and the calories burned. In other words, K2 can be set based on the amount of reduction in the measured weight relative to the value obtained by subtracting the calories burned from the calories ingested in the past.

[0040] The corrected weight calculated in this way is a value that averages out the measured weight during weight loss, with a small difference from the measured weight when weight loss is progressing smoothly and a large difference from the measured weight when weight loss is stagnating, as shown in Figure 2. The calculation unit 53 transmits the corrected weight data, correction term data, theoretical weight data, K1 data, and K2 data to DB6.

[0041] The control unit 54 controls the weighing scale 2 so that the corrected weight is displayed on the display unit 2b of the weighing scale 2 based on the corrected weight data. The DB6 stores personal data, meal history data, exercise history data, corrected weight data, correction term data, theoretical weight data, K1 data, K2 data, etc.

[0042] Next, an example of the process flow of the processing device 5 of this embodiment will be described. Fig. 3 is a flow chart showing the process flow of the processing device of this embodiment. Here, the process of the processing device 5 described below is the process when a person who is to lose weight steps on the weighing scale 2 to measure their weight. First, the personal data acquisition unit 51 acquires personal data of the person who is to lose weight from the DB 6 (S1).

[0043] Next, the meal history data acquisition unit 52a of the life data acquisition unit 52 acquires meal history data (S2). In detail, the meal history data acquisition unit 52a acquires meal data associated with meal time data from DB6, estimates a meal menu based on the meal data, and estimates foods and their amounts included in the meal menu.

[0044] The meal history data acquisition unit 52a then calculates the calorie intake for the meal menu based on the foods and their amounts included in the meal menu. As a result, the meal history data acquisition unit 52a acquires meal history data in which the meal menu is associated with the meal time and the calorie intake. The meal history data acquisition unit 52a transmits the meal history data to DB6.

[0045] Next, the exercise history data acquisition unit 52b of the life data acquisition unit 52 acquires the exercise history data of the person losing weight (S3). In detail, the exercise history data acquisition unit 52b acquires the exercise data associated with the exercise time data from the DB6, and estimates the exercise content and the exercise amount based on the exercise data.

[0046] As a result, the exercise history data acquisition unit 52b acquires exercise history data in which the exercise content, the exercise time, and the exercise amount are associated with each other. The exercise history data acquisition unit 52b transmits the exercise history data to the DB 6. Note that the steps S2 and S3 may be processed in the reverse order.

[0047] Next, the calculation unit 53 calculates the corrected weight based on the correction term generated from the personal data and the life data and the measured weight of the person losing weight (S4). That is, the calculation unit 53 calculates the corrected weight based on the above-mentioned <Formula 1> to <Formula 3>. Then, the calculation unit 53 transmits the corrected weight data and the like to the DB6.

[0048] Next, the control unit 54 controls the weighing scale 2 so that the corrected weight is displayed on the display unit 2b of the weighing scale 2 based on the corrected weight data (S5). This allows the display unit 2b of the weighing scale 2 to display the corrected weight, which is an averaged value of the measured weight during weight loss, as shown in Fig. 2, in which the difference from the measured weight is small when weight loss is progressing smoothly and the difference from the measured weight is large when weight loss is stagnating.

[0049] In this way, the weight display system 1 and the processing device 5 of the present embodiment calculate a corrected weight that is an averaged value of the measured weight during weight loss, which has a small difference from the measured weight when weight loss is going smoothly and a large difference from the measured weight when weight loss is stagnating. Therefore, even when a person is in a stagnant period of weight loss, they can obtain information that their weight loss is progressing smoothly, and can suppress a decline in motivation to lose weight.

[0050] <Embodiment 2> Fig. 4 is a block diagram showing the configuration of a control system of the weight display system of this embodiment. As shown in Fig. 4, the weight display system 101 has a configuration similar to that of the weight display system 1 of the first embodiment, but is configured with a selection unit 2c for selecting whether the weight scale 102 displays the measured weight or the corrected weight of the person to be lost on the display unit 2b.

[0051] The selection unit 2c is an input device such as a touch panel that is operated by the person losing weight, so that the person can appropriately select whether to display the measured weight or the corrected weight of the person losing weight on the display unit 2b.

[0052] <Other embodiments> For example, in the above-mentioned first and second embodiments, the correction weight is calculated regardless of whether weight loss is in a steady or plateau stage, but the correction weight may be calculated only when weight loss is in a plateau stage. In this case, when the difference between the theoretical weight calculated from the personal data and the lifestyle data and the measured weight of the person losing weight is equal to or greater than a preset threshold, the calculation unit 53 may estimate that the person losing weight is in a plateau stage and calculate the correction weight when weight loss is in a plateau stage.

[0053] For example, in the above first and second embodiments, the diet data and exercise data are obtained by a sensor, but the data may be obtained by the person losing weight inputting the data via an external input unit.

[0054] For example, in the above first and second embodiments, the control unit 54 is provided in the processing device 5, but it may be provided in the weighing scale 2, 102.

[0055] For example, a part or all of the above processes may be executed by a computer program. That is, the control of the above processing device is executed by a control computer that configures the processing device executing the program. The above-mentioned program includes a set of instructions (or software code) for making the computer perform one or more functions described in the embodiment when the program is loaded into the computer. The program may be stored in a non-transitory computer-readable medium or a tangible storage medium. By way of example and not limitation, the computer-readable medium or tangible storage medium includes random-access memory (RAM), read-only memory (ROM), flash memory, solid-state drive (SSD) or other memory technology, CD-ROM, digital versatile disc (DVD), Blu-ray (registered trademark) disk or other optical disk storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage device. The program may be transmitted on a transitory computer-readable medium or communication medium. By way of example and not limitation, the transitory computer-readable medium or communication medium includes electrical, optical, acoustic, or other forms of propagated signals.

[0056] The present disclosure is not limited to the above-described embodiment, and can be modified as appropriate without departing from the spirit and scope of the present disclosure. [Explanation of symbols]

[0057] 1. Weight display system 2 Weight scale, 2a Load sensor, 2b Display unit, 2c Selection unit 3. First detector 4 Second detector 5 Processing equipment 51 Personal Data Acquisition Department 52 life data acquisition unit, 52a meal history data acquisition unit, 52b exercise history data acquisition unit 53 Calculation section 54 Control section 6 Database 7 Network 101 Weight Display System 102 Weight scale

Claims

1. a personal data acquisition unit that acquires personal data including weight data indicating the current measured weight and the previous measured weight of the person who lost weight; A life data acquisition unit that acquires life data of the person who lost weight; A calculation unit that calculates a corrected weight based on weight data indicating the current measured weight and the previous measured weight of the person who lost weight included in the personal data, a correction term generated from the life data, and the current measured weight of the person who lost weight; Equipped with The calculation unit estimates a plateau in weight loss for the person losing weight based on the difference between a theoretical weight calculated from weight data indicating the person's previous measured weight included in the personal data and the lifestyle data, and the person's current measured weight, and calculates the corrected weight for the plateau in weight loss.

2. The processing device of claim 1 , further comprising a control unit for controlling a weight scale to display the corrected weight.

3. The processing device according to claim 1 , wherein the life data acquisition unit acquires, as the life data, exercise history data or meal history data of the person losing weight.

4. A processing device according to claim 1 or 2; a weight scale that displays the corrected weight; A weight display system comprising:

5. The body weight display system according to claim 4 , further comprising a detection unit that detects meals taken by the person losing weight.

6. 5. The body weight display system according to claim 4, wherein the weight scale comprises a selection unit that selects whether the measured body weight or the corrected body weight of the person who is to lose weight is to be displayed.

7. acquiring personal data including weight data indicating the weight loss person's current measured weight and previous measured weight; acquiring life data of the person who lost weight; A step of calculating a corrected weight based on weight data indicating the current measured weight and the previous measured weight of the person who lost weight, which is included in the personal data, a correction term generated from the life data, and the current measured weight of the person who lost weight; Equipped with A processing method for estimating a plateau in weight loss for the person losing weight based on the difference between a theoretical weight calculated from the weight data indicating the person's previous measured weight included in the personal data and the lifestyle data, and the person's current measured weight, and calculating the corrected weight during the plateau in weight loss.

8. A process of acquiring personal data including weight data indicating the weight loss person's current measured weight and previous measured weight; A process of acquiring life data of the person who lost weight; A process of calculating a corrected weight based on weight data indicating the current measured weight and the previous measured weight of the person who lost weight, which are included in the personal data, a correction term generated from the life data, and the current measured weight of the person who lost weight; on the computer, A processing program that estimates a plateau in weight loss for the person losing weight based on the difference between a theoretical weight calculated from the weight data indicating the person's previous measured weight included in the personal data and the lifestyle data, and the person's current measured weight, and calculates the correction weight during the plateau in weight loss.

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