Indoor plant suggestion system
Patent Information
- Application Number
- GB2025004994
- Authority / Receiving Office
- GB · GB
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-01-29
- Filing Date
- 2024-09-25
- Publication Date
- 2026-02-11
AI Technical Summary
Existing systems for suggesting indoor plants do not consider the user's emotional state or the growth status of plants, leading to unsuitable plant location and type recommendations.
An indoor greenery proposal system that includes sensors to measure heart rate, camera for plant growth status, and user input to determine the user's relaxed state and suggest appropriate plant locations and types based on heart rate analysis, growth status, and user feedback.
Accurately determines the user's relaxed state and suggests suitable plant locations and types to improve relaxation by addressing the causes of stress through targeted plant placement and type recommendations.
Smart Images

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Abstract
Description
Indoor Green Proposal System
[0001] The present invention relates to indoor greens, which are plants placed indoors, and more particularly to an indoor green suggestion system that makes suggestions regarding indoor greens.
[0002] Traditionally, it has been common to enjoy the appreciation of plants placed indoors. Plants placed indoors are called "indoor greenery." Indoor greenery provides healing and relaxation to those who view it. Recently, as people spend more time at home, more and more people are placing indoor greenery in their homes. In addition, rental services that lend indoor greenery to users are also on the rise.
[0003] In relation to the present invention, Patent Document 1 describes a user assistance device that acquires user data indicating information about the user himself / herself, environmental data indicating information about the user's surrounding environment, and intention data indicating the user's intention, and generates and outputs user assistance data used to assist the user based on these data. Patent Document 1 also describes that the user assistance data output from the user assistance device may be data related to a service for purchasing houseplants.
[0004] JP 2023-68807 A
[0005] The effect of indoor greenery on people varies greatly depending on the type of plant and its location. However, the user assistance device described in Patent Document 1 outputs data related to a service for purchasing houseplants, but does not output data suggesting the location or type of plant to be placed. Furthermore, since this user assistance device generates user assistance data without obtaining information about the growth status of plants, it is unable to make suitable suggestions.
[0006] The present invention has been made in view of the above circumstances, and its object is to provide a means for suitably proposing the location and type of an indoor green.
[0007] (1) The indoor greenery proposal system of the present invention includes a heartbeat sensor that measures the heartbeat of a person indoors, a display unit that displays questions to the person indoors regarding plants arranged indoors, an input unit for inputting answers to the questions, and a control unit. The control unit generates proposal information including at least one of the location and type of the plants arranged indoors based on at least an output signal from the heartbeat sensor and the answers input from the input unit, and the display unit displays the proposal information generated by the control unit.
[0008] According to the indoor greenery suggestion system described above, it is possible to suggest suitable locations and types of indoor greenery by generating and displaying suggested information including the location and type of plants placed indoors based on the heart rate of a person indoors and the person's answers to questions about the plants placed indoors.
[0009] (2) Preferably, the control unit executes a judgment process to determine whether the person indoors is in a relaxed state based on the output signal of the heart rate sensor, and if the judgment process determines that the person is not in a relaxed state, executes an estimation process to estimate the cause of the person not in a relaxed state based on the answer input from the input unit, executes a placement position proposal process to generate the proposed information including the placement position of the plant if the estimation process determines that the cause is the placement position of the plant, and executes a type proposal process to generate the proposed information including the type of plant if the estimation process determines that the cause is the type of plant.
[0010] With the above configuration, it is possible to determine whether a person indoors is in a relaxed state based on the person's heart rate. If the person is not in a relaxed state, the cause is estimated, and suggestion information including the location and type of plants is generated and displayed, thereby suggesting the location and type of indoor greenery that can resolve the cause of the person not being in a relaxed state.
[0011] (3) Preferably, in the determination process, the control unit may acquire a parasympathetic nervous index of the person indoors based on an output signal of the heart rate sensor, and determine whether the person indoors is in a relaxed state based on the acquired parasympathetic nervous index.
[0012] According to the above configuration, it is possible to accurately determine whether a person indoors is in a relaxed state based on a parasympathetic nerve index based on the heart rate of the person.
[0013] (4) Preferably, the indoor green proposal system further includes a seating sensor that detects whether the person in the room is seated, and the control unit, in the judgment process, may acquire the parasympathetic nervous index based on the output signal of the heart rate sensor after a predetermined time has elapsed since the seating sensor detected that the person in the room has become seated.
[0014] According to the above configuration, an accurate parasympathetic nervous index can be obtained based on the heart rate of a person indoors after a predetermined time has passed since they sat down, and it can be accurately determined whether or not the person is in a relaxed state.
[0015] (5) Preferably, the display unit may display questions regarding the location of the plant placed indoors, questions regarding the type of plant, questions regarding the care of the plant, and questions regarding stress experienced by the person indoors.
[0016] According to the above configuration, it is possible to suggest suitable locations and types of indoor greenery based on answers to four types of questions from people indoors.
[0017] (6) Preferably, the display unit displays at least a question regarding the location of a plant placed indoors and a question regarding the type of plant, and the control unit may, in the estimation process, estimate the reason why the person indoors is not in a relaxed state based on the answers to the two types of questions input from the input unit.
[0018] According to the above configuration, the reason why a person indoors is not in a relaxed state can be inferred based on the person's answers to the two types of questions.
[0019] (7) Preferably, the indoor green proposal system further includes a camera that captures images including the plants placed indoors, and the control unit acquires growth status information indicating the growth status of the plants placed indoors based on the images captured by the camera, and may generate the proposal information based on at least the acquired growth status information, the output signal of the heart rate sensor, and the answer input from the input unit.
[0020] According to the above configuration, information on the plant's growth status can be obtained based on images of plants placed indoors, and by referring to the plant's growth status information, suitable placement locations and types of indoor greenery can be suggested.
[0021] (8) Preferably, the control unit may acquire the growth status information including at least one of the color of leaves and the number of fallen leaves of the plant placed indoors based on an image captured by the camera.
[0022] According to the above configuration, information on the plant's growth status, including the color of the plant's leaves and the number of fallen leaves, can be obtained based on images of plants placed indoors, and based on this, suitable placement locations and types of indoor greenery can be suggested.
[0023] (9) Preferably, the indoor green proposal system further includes an illuminance sensor that measures the illuminance at the indoor plant placement position, and the control unit acquires the hours of daylight based on the illuminance measured by the illuminance sensor, and generates the proposal information based on at least the acquired hours of daylight, the output signal of the heart rate sensor, and the answer input from the input unit.
[0024] According to the above configuration, it is possible to suggest an appropriate placement location and type of indoor greenery by referring to the sunlight hours at the placement location of the plant.
[0025] (10) Preferably, the control unit divides the indoor space into a plurality of areas, and, in response to determining that there is insufficient illuminance based on the acquired daylight hours, generates the suggested information including brighter areas as possible locations for plant placement.
[0026] According to the above configuration, when it is determined that the illuminance is insufficient, a brighter area can be suggested as a location for arranging the plant.
[0027] (11) Preferably, the control unit may execute a conversion process that converts data including the output signal of the heart rate sensor and the answer input from the input unit into a score in accordance with a predetermined conversion rule, a calculation process that calculates an evaluation value based on the score obtained in the conversion process, and a proposal process that generates the proposal information based on the evaluation value calculated in the calculation process.
[0028] According to the above configuration, by converting data including the heart rates of people indoors and their answers to questions into scores, and calculating an evaluation value based on the obtained scores, it is possible to easily generate suggested information based on the calculated evaluation value.
[0029] (12) Preferably, the control unit may generate the proposal information including the type of plant by referring to a database that stores types and characteristics of plants.
[0030] According to the above configuration, by referring to a database that stores types and characteristics of plants, it is possible to suggest types of plants that are suitable for indoor greenery.
[0031] According to the present invention, the location and type of indoor green can be suitably proposed.
[0032] FIG. 1 is a block diagram showing the configuration of an indoor green space proposal system 1 according to an embodiment. FIG. 2 is a plan view of a living room 50 that is the processing target of the indoor green space proposal system 1. FIG. 3 is a flowchart showing the general operation of the control units 11 and 31 of the indoor green space proposal system 1. FIG. 4 is a flowchart showing the operation of the control unit 11 of the indoor green space proposal system 1. FIGS. 5A to 5C are diagrams showing question screens 61 to 63 displayed on the display unit 16 of the indoor green space proposal system 1, respectively. FIG. 6 is a flowchart showing the operation of the control unit 31 of the indoor green space proposal system 1. FIG. 7 is a diagram showing an input database 41 stored in the memory unit 33 of the indoor green space proposal system 1. FIG. 8 is a diagram showing a conversion rule table 42 stored in the memory unit 33. FIG. 9 is a diagram showing a score database 43 stored in the memory unit 33. FIG. 10 is a diagram showing a plant database 44 stored in the memory unit 33.
[0033] Hereinafter, an indoor greening proposal system according to an embodiment of the present invention will be described with reference to the drawings. Note that the embodiment described below is merely an example of the present invention, and it goes without saying that the embodiment of the present invention can be appropriately modified within the scope of the gist of the present invention.
[0034] [System Overview] As shown in Fig. 1, an indoor green space proposal system 1 according to an embodiment includes a terminal device 10, a heartbeat sensor 21, a camera 22, an illuminance sensor 23, a seating sensor 24, and a server 30. The indoor green space proposal system 1 proposes the placement location and type of plants (indoor green space) to be placed indoors. The terminal device 10, the heartbeat sensor 21, the camera 22, the illuminance sensor 23, and the seating sensor 24 are installed indoors (e.g., in a living room of a house) where the plants will be placed. The server 30 is installed, for example, within a company that rents indoor green space. The terminal device 10 and the server 30 are connected to each other so as to be able to communicate with each other via a communication network 2 such as the Internet.
[0035] [Example of a Living Room] The following describes a case where an indoor green is placed in a living room 50 shown in Figure 2. The living room 50 is divided into nine areas 51 in a grid pattern. Of the nine areas 51, the central area is designated M, and the remaining eight areas are designated A to H, respectively.
[0036] In the state shown in Figure 2, a sofa 52 and a table 53 are placed in area M. A television 54 is placed against the wall in area B. Area C includes the movement area (shown as a sector) of an interior door 55. An exterior window 56 is provided on the wall of area D. The eight areas A to H, excluding area M, are candidates for the placement of an indoor green space.
[0037] Area C is an area where it is difficult for people to pass through because it includes the movement area of the interior door 55. Placing indoor greenery in area G would obstruct pedestrian passage, so area G is also an area where it is difficult for people to pass through. Placing indoor greenery in area B would obstruct the user sitting on the sofa 52 from watching the television 54, so it is preferable not to place indoor greenery in area B. The remaining five areas, A, D, E, F, and H, are areas where it is easy for users to care for indoor greenery. Of these, area D, which is adjacent to the outdoor window 56, is an area that receives good sunlight. In the state shown in FIG. 2 , indoor greenery 57 is placed in area H. Note that the living room 50 is an example of indoors, the user is an example of a person indoors, and the indoor greenery 57 is an example of a plant placed indoors.
[0038] Area information, which is information relating to area 51 of living room 50, is stored in storage unit 33, which will be described later. The area information includes the layout of living room 50, characteristics of area 51, and the front-to-back, left-to-right relationship of area 51. The characteristics of area 51 include the information about areas A to H, which includes information about areas that are easy to care for, areas that obstruct passage, and sunny areas that are preset for areas A to H. The front-to-back, left-to-right relationship of area 51 is set with area M, where sofa 52 is located, as the center, with the line of sight of a user sitting on sofa 52 as the front. The area information may also be stored in storage unit 13.
[0039] 1, the server 30 includes a control unit 31 and a communication unit 34. The control unit 31 includes a CPU 32 and a storage unit 33. The CPU 32, the storage unit 33, and the communication unit 34 are connected to a bus 38 within the server 30. The server 30 may be any type of computer.
[0040] The CPU 32 controls the operation of the server 30. The storage unit 33 includes a ROM, a RAM, a hard disk drive, etc. The storage unit 33 stores programs executed by the CPU 32 and also functions as a working memory for the CPU 32. The storage unit 33 stores an input database 41, a conversion rule table 42, a score database 43, a plant database 44 (details will be described later), etc. The communication unit 34 is connected to the communication network 2. The control unit 31 controls the communication unit 34 to communicate with devices other than the server 30 (such as the terminal device 10).
[0041] The terminal device 10 includes a control unit 11, a communication unit 14, an input unit 15, a display unit 16, and an interface unit 17 (referred to as an I / F unit in FIG. 1 ). The control unit 11 includes a CPU 12 and a memory unit 13. The CPU 12, the memory unit 13, the communication unit 14, the input unit 15, the display unit 16, and the interface unit 17 are connected to a bus 18 within the terminal device 10. The terminal device 10 is, for example, a smartphone, a tablet terminal, a portable personal computer, a stationary personal computer, or the like.
[0042] The CPU 12 controls the operation of the terminal device 10. The storage unit 13 includes a ROM, a RAM, an EEPROM, a hard disk drive, a solid state drive, etc. The storage unit 13 stores programs executed by the CPU 12 and functions as a working memory for the CPU 12. A terminal application program 19 is stored in the storage unit 13 as a program executed by the CPU 12. The input unit 15 is, for example, a touch panel, a mouse, a keyboard, etc. The input unit 15 receives input from a user. The input from the input unit 15 is supplied to the CPU 12. The display unit 16 displays various screens under control of the CPU 12. The communication unit 14 is connected to the communication network 2. The control unit 11 controls the communication unit 14 to communicate with devices other than the terminal device 10 (such as a server 30).
[0043] The heart rate sensor 21 and the seating sensor 24 are attached to the sofa 52. For example, the heart rate sensor 21 is attached to the armrest of the sofa 52, and the seating sensor 24 is attached under the seat of the sofa 52. The seating sensor 24 detects whether a user is seated on the sofa 52 and outputs a signal X4 indicating the detection result. The heart rate sensor 21 measures the heart rate of the user sitting on the sofa 52 and outputs a signal X1 indicating the measurement result. The camera 22 is attached, for example, near the center of the ceiling of the room 50 to capture an image of the entire interior of the room 50. The camera 22 captures an image of the interior of the room 50, including the indoor greenery 57, and outputs an image signal X2. The illuminance sensor 23 is attached at the location where the indoor greenery 57 is located. The illuminance sensor 23 is attached, for example, to a container that contains the indoor greenery 57. The illuminance sensor 23 measures the illuminance at the location where the indoor greenery 57 is located and outputs a signal X3 indicating the measurement result.
[0044] The heart rate sensor 21, the camera 22, the illuminance sensor 23, and the seating sensor 24 are connected to the interface unit 17 of the terminal device 10 by wireless communication such as Wi-Fi (registered trademark) or by wired communication such as USB (registered trademark). The output signal X1 of the heart rate sensor 21, the image signal X2 output from the camera 22, the output signal X3 of the illuminance sensor 23, and the output signal X4 of the seating sensor 24 are supplied to the CPU 12 via the interface unit 17.
[0045] [Overall Operation of Control Unit] The control units 11 and 31 are examples of control units of the indoor green proposal system 1. The control units of the indoor green proposal system 1 generally operate according to the flowchart shown in Fig. 3. In the following description of the overall operation, the control units 11 and 31 will be collectively referred to as the control unit.
[0046] The control unit first receives the output signals of the sensors, the image signal, and a response from the user (S1). In S1, the control unit receives the output signal X1 of the heart rate sensor 21, the image signal X2 output from the camera 22, the output signal X3 of the illuminance sensor 23, the output signal X4 of the seating sensor 24, and a response input from the input unit 15 by the user.
[0047] Next, the control unit determines whether or not the user is in a relaxed state (S2) based on the output signal X1 of the heart rate sensor 21. If the control unit determines that the user is in a relaxed state (S2: Yes), it proceeds to S1, and if the control unit determines that the user is not in a relaxed state (S2: No), it proceeds to S3.
[0048] In the latter case, the control unit estimates the reason why the user is not in a relaxed state based on the response from the user received in S1 (S3). Next, the control unit determines whether the estimated cause is the placement of the indoor greenery 57 (referred to as "plants" in FIG. 3) (S4). If the control unit determines that the placement of the indoor greenery 57 is the cause (S4: Yes), the process proceeds to S5. If the control unit determines that the placement of the indoor greenery 57 is not the cause (S4: No), the process proceeds to S6. In the former case, the control unit generates proposal information including the placement of the indoor greenery 57 based on the data received in S1 (S5), and then proceeds to S6.
[0049] Next, the control unit determines whether the estimated cause is the type of indoor green 57 (S6). If the control unit determines that the type of indoor green 57 is the cause (S6: Yes), it proceeds to S7. If the control unit determines that the type of indoor green 57 is not the cause (S6: No), it proceeds to S8. In the former case, the control unit generates proposal information including the type of indoor green 57 based on the data received in S1 (S7), and proceeds to S8.
[0050] Next, the control unit causes the display unit 16 to display the proposal information generated in S5 and S7 (S8), and then the process returns to S1. The control unit repeatedly executes S1 to S8.
[0051] [Processing of Sensor Output Signal and Image Signal] The output signal X1 of the heartbeat sensor 21 is a waveform signal that indicates the heartbeat of the user sitting on the sofa 52. The control unit 11 obtains, as heartbeat data, the time interval (hereinafter referred to as the R-R interval) at which the signal level of the output signal X1 of the heartbeat sensor 21 is maximized.
[0052] The image signal X2 output from the camera 22 is a color image signal including red, green, and blue components. The minimum value of each color component is 0 and the maximum value is 255. The control unit 11 performs image processing on the image signal X2 to identify an area including the indoor green 57 in the image of the room 50. The control unit 11 analyzes the color of the identified area using a statistical method to determine the color of the leaves of the indoor green 57. The control unit 11 determines, for example, the representative value (e.g., the average value or the most frequent value) of the red component of the identified area as the color of the leaves.
[0053] The control unit 11 performs image processing on the image of the enlarged portion including the periphery of the identified portion to determine the number of fallen leaves from the indoor green 57. The control unit 11 detects an area equivalent to one fallen leaf from the image based on a pre-specified range of leaf color and the color of the floor in the room 50, and counts the number of fallen leaves detected within a predetermined measurement period.
[0054] The camera 22 may capture an image at a specified timing (just before the leaves are removed). The camera 22 constantly monitors the falling of leaves from the indoor green 57. When the control unit 11 detects that all the fallen leaves have disappeared (the leaves have been removed) during monitoring by the camera 22, it stores the number of fallen leaves before the leaves disappeared in the memory unit 13 and calculates the total number of stored leaves to determine the number of leaves that fell during the day. Alternatively, the user may instruct the camera 22 to capture an image by, for example, pressing a switch provided on the terminal device 10 just before removing the fallen leaves.
[0055] The output signal X3 of the illuminance sensor 23 is a waveform signal that indicates the illuminance at the position where the indoor green 57 is placed. Based on the output signal X3 of the illuminance sensor 23, the control unit 11 determines the length of time (in minutes) during which the illuminance is equal to or greater than a predetermined threshold value (e.g., 5,000 lx) as the sunshine duration. The control unit 11 stores the determined heart rate data, leaf color, number of fallen leaves, and sunshine duration in the memory unit 13.
[0056] [Operation of control unit 11] The control unit 11 of the terminal device 10 performs the operation shown in Fig. 4 by executing the terminal application program 19 stored in the storage unit 13. The control unit 11 performs the operation shown in Fig. 4 once a day after sunset (for example, after 7 pm).
[0057] The control unit 11 first determines whether or not the user has sat on the sofa 52 (S11). In S11, when the output signal X4 of the seating sensor 24 changes from a level indicating that the user is not seated to a level indicating that the user is seated, the control unit 11 determines that the user has sat on the sofa 52. If the control unit 11 determines that the user is not seated (S11: No), it proceeds to S11, and if the control unit 11 determines that the user is seated (S11: Yes), it proceeds to S12.
[0058] In the latter case, the control unit 11 turns on the power of the heart rate sensor 21 (S12). After the control unit 11 executes S12, the heart rate sensor 21 measures the heart rate of the user seated on the sofa 52 and outputs an output signal X1.
[0059] Next, the control unit 11 determines whether 10 minutes have passed since the user sat on the sofa 52 (S13). If the control unit 11 determines that 10 minutes have not passed (S13: No), the process proceeds to S13. If the control unit 11 determines that 10 minutes have passed (S13: Yes), the process proceeds to S14.
[0060] In the latter case, the control unit 11 starts recording the heartbeat data (S14). After executing S14, the control unit 11 calculates the R-R interval as heartbeat data based on the output signal X1 of the heartbeat sensor 21, and stores the calculated heartbeat data in the storage unit 13.
[0061] Next, the control unit 11 causes a question for the user to be displayed on the display unit 16 (S15). When the control unit 11 executes S15 for the first time, the control unit 11 causes the display unit 16 to display a question screen 61 shown in Fig. 5(A) , when the control unit 11 executes S15 for the second time, the control unit 11 causes the display unit 16 to display a question screen 62 shown in Fig. 5(B) , and when the control unit 11 executes S15 for the third time, the control unit 11 causes the display unit 16 to display a question screen 63 shown in Fig. 5(C) .
[0062] The question screen 61 ( FIG. 5A ) includes five questions regarding the placement of plants, answer options for each question, radio buttons (indicated by circles) corresponding to each option, and a button labeled “Next” 64. The answer options are “Dissatisfied,” “Somewhat dissatisfied,” and “No problem.”
[0063] The question screen 62 (FIG. 5B) includes five questions about plant species, answer options for each question, radio buttons corresponding to each option, and a button 65 labeled "Next." The answer options are the same as those for question 1.
[0064] The question screen 63 ( FIG. 5(C) ) includes question 3 about daily stress, answer options for question 3, question 4 about plant care, answer options for question 4, radio buttons corresponding to each option, and a button 66 labeled "Submit." The answer options for question 3 are "felt" and "didn't feel." The answer options for question 4 are "did" and "didn't."
[0065] The user inputs answers to the questions by viewing question screens 61 to 63 displayed on display unit 16 and operating input unit 15. The user presses button 64 after inputting answers to the five questions included in question screen 61, presses button 65 after inputting answers to the five questions included in question screen 62, and presses button 66 after inputting answers to the two questions included in question screen 63.
[0066] The control unit 11 receives the answers input by the user (S16). When the control unit 11 executes S16 for the first time, it receives five answers to the five questions included in the question screen 61. When the control unit 11 executes S16 for the second time, it receives five answers to the five questions included in the question screen 62. When the control unit 11 executes S16 for the third time, it receives two answers to the two questions included in the question screen 63. The control unit 11 stores the answers to the twelve questions input by the user in total in the storage unit 13.
[0067] While the control unit 11 is executing S15, the display unit 16 displays questions to the user regarding the indoor green 57. The input unit 15 is used by the user to input answers to the questions displayed on the display unit 16.
[0068] Next, the control unit 11 determines whether or not the question is the last one (S17). In S17, the control unit 11 determines whether or not the button 66 has been pressed, thereby determining whether or not the question is the last one. If the control unit 11 determines that the question is not the last one (S17: No), the process proceeds to S15. If the control unit 11 determines that the question is the last one (S17: Yes), the process proceeds to S18.
[0069] In the latter case, the control unit 11 ends the recording of the heartbeat data (S18). In S18, the control unit 11 ends the process of obtaining the heartbeat data based on the output signal X1 of the heartbeat sensor 21, and turns off the power to the heartbeat sensor 21.
[0070] The recording of the heart rate data may be ended after the user leaves the sofa 52. For example, when the output signal X4 of the seating sensor 24 changes from a level indicating a seated state to a level indicating a non-seated state, the control unit 11 may determine that the user has left the sofa 52, and may end the recording of the heart rate data after this determination is made.
[0071] Next, the control unit 11 transmits the heart rate data, the response, the leaf color, the number of fallen leaves, and the sunshine hours to the server 30 (S19). In S19, the control unit 11 controls the communication unit 14 to transmit this data to the server 30 along with the location and type of the indoor green 57. The heart rate data was determined by the control unit 11 based on the output signal X1 of the heart rate sensor 21. The response was input by the user using the input unit 15. The leaf color and the number of fallen leaves were determined by the control unit 11 based on the image signal X2 output from the camera 22. The sunshine hours were determined by the control unit 11 based on the output signal X3 of the illuminance sensor 23.
[0072] Next, the control unit 11 receives the proposal information from the server 30 (S20). In S20, the control unit 11 controls the communication unit 14 to receive the proposal information generated by the server 30.
[0073] Next, the control unit 11 causes the display unit 16 to display the proposed information (S21). While the control unit 11 is executing S21, the display unit 16 displays the proposed information generated by the control unit 31. The user looks at the proposed information displayed on the display unit 16 and changes the placement position of the indoor green 57. Alternatively, the user looks at the proposed information displayed on the display unit 16 and contacts the rental company of the indoor green 57 to change the type of indoor green 57. To contact the rental company, for example, telephone, email, or a communication application program may be used. After executing S21, the control unit 11 ends the operation shown in FIG. 4.
[0074] The location or type of the new indoor green 57 included in the proposal information is stored in the memory unit 13. When a process is performed to confirm that the location or type of the indoor green 57 has been changed in accordance with the proposal information, the new location or type of the indoor green 57 may be stored in the memory unit 13. This confirmation process may be performed after the user has made an input to confirm the change via the input unit 15.
[0075] [Operation of Control Unit 31] The control unit 31 of the server 30 performs the operations shown in Fig. 6. The control unit 31 first receives heart rate data, a response, leaf color, the number of fallen leaves, and sunshine hours from the terminal device 10 (S31). In S31, the control unit 31 controls the communication unit 34 to receive this data from the terminal device 10 along with the location and type of the indoor green 57. The control unit 31 performs the operations from S32 onwards every time it receives data from the terminal device 10.
[0076] Next, the control unit 31 acquires a parasympathetic nerve index based on the heart rate data received in S31 (S32). The parasympathetic nerve index (CVI: Cardiac Vagal Index) is an index value that indicates the degree of parasympathetic nerve activity, and the larger this value, the more relaxed a person is. The parasympathetic nerve index is calculated based on the R-R interval, which is heart rate data.
[0077] Next, the control unit 31 stores the received or acquired data in the input database 41 (S33). In S33, the control unit 31 stores the answer, leaf color, number of fallen leaves, and sunshine hours received in S31, as well as the parasympathetic nervous index acquired in S32, in the input database 41.
[0078] Data is stored in the input database 41, for example, in the format shown in Fig. 7. In Fig. 7, one row of data is one day's worth of data, and is stored by the control unit 31 executing S33 once. In the input database 41, the data for "parasympathetic nerve index" is obtained in S32. The data for "placement position evaluations (1) to (5)" are answers to five questions included in the question screen 61, received from the terminal device 10 in S31. The data for "type evaluations (1) to (5)" are answers to five questions included in the question screen 62, received from the terminal device 10 in S31.
[0079] The "daily stress" data is the answer to question 3 included in the question screen 63, received from the terminal device 10 in S31. "Yes" corresponds to the option "felt," and "no" corresponds to the option "did not feel." The "whether care was provided" data is the answer to question 4 included in the question screen 63, received from the terminal device 10 in S31. A circle corresponds to the option "did," and a cross corresponds to the option "did not." The "leaf color" data is the leaf color obtained by the control unit 11 and received from the terminal device 10 in S31. The "number of fallen leaves" data is the number of fallen leaves obtained by the control unit 11 and received from the terminal device 10 in S31. The "sunshine hours" data is the sunshine hours obtained by the control unit 11 and received from the terminal device 10 in S31.
[0080] Next, the control unit 31 converts the data into scores and stores them in the score database 43 (S34). In S34, the control unit 31 converts the data stored in the input database 41 into scores in accordance with the conversion rules shown below, for example, and stores the obtained scores in the score database 43.
[0081] The control unit 31 calculates the average value of the parasympathetic nervous index for a predetermined period (in this embodiment, for 30 days prior to the previous day), and if the parasympathetic nervous index on the current day is higher than the average value, calculates a score that is increased by 1 point for every 2% increase above the average value, and if the parasympathetic nervous index on the current day is lower than the average value, calculates a score that is decreased by 1 point for every 2% decrease below the average value. For example, if the parasympathetic nervous index on the current day is 5% lower than the average value, the score will be −2 points.
[0082] With regard to the data on placement position evaluation and type evaluation, the control unit 31 converts "dissatisfied" to -2 points, "slightly dissatisfied" to -1 point, and "no problem" to 0 point. If daily stress is "present," the control unit 31 sets the score of the parasympathetic nerve index to 0 point. With regard to the data on whether care was provided, the control unit 31 converts "done," indicated by a circle, to 0 point, and "did not provide," indicated by a cross, to -1 point.
[0083] The conversion rule table 42 shown in FIG. 8 stores scores corresponding to combinations of leaf color data and data on the number of fallen leaves. The control unit 31 determines the leaf color as "green" if the red component is less than 150, as "neutral" if the red component is 150 or more but less than 200, and as "brown" if the red component is 200 or more. The control unit 31 reads out from the conversion rule table 42 a score corresponding to the combination of whether the leaf color is green, neutral, or brown and the number of fallen leaves, and determines this score as the score related to the growth status. For example, if the leaf color is determined to be brown and the number of fallen leaves is three, the score related to the growth status is -3 points.
[0084] The control unit 31 assigns a score of 0 if the sunshine duration is a predetermined time (for example, 30 minutes) or more, and assigns a score of −1 if the sunshine duration is less than the predetermined time.
[0085] The control unit 31 stores the scores related to the parasympathetic nervous index, the scores related to the placement position evaluation, the scores related to the type evaluation, the scores related to daily stress, the scores related to whether care is provided, the scores related to the rearing situation, and the scores related to the hours of sunlight in the score database 43 shown in Figure 9.
[0086] The control unit 31 stores the plant's location and type received in S31 in the score database 43 along with these scores. Furthermore, the control unit 31 compares the plant's location and type stored in the score database 43 in the current S34 with the plant's location and type stored in S34 the previous time (specifically, the day before), and executes a total reset process if there is a change in at least one of the plant's location and type. The total reset is a process of resetting the total scores stored in the score database 43 on or before the day before to zero. Specifically, the total score of the parasympathetic nerve index, the total score of the location evaluations (1) to (5), the total score of the type evaluations (1) to (5), the total score of whether the plant is being cared for, the total score of the growing condition, and the total score of the sunshine hours on or before the day before are all reset to zero. The score database 43 also stores that the total reset has been executed.
[0087] Next, the control unit 31 acquires an evaluation value based on the scores stored in the score database 43 (S35). In S35, the control unit 31 determines the sum of scores for a predetermined period (in this embodiment, 30 days prior to the current day) as the evaluation value. Specifically, the control unit 31 determines the sum of scores for the 30 days related to the parasympathetic nerve index as evaluation value P1, the sum of scores for the 30 days related to the placement position evaluation as evaluation value P2, the sum of scores for the 30 days related to the type evaluation as evaluation value P3, the sum of scores for the 30 days related to whether or not the plant is being cared for as evaluation value P4, the sum of scores for the 30 days related to the rearing status as evaluation value P5, and the sum of scores for the 30 days related to the hours of sunlight as evaluation value P6.
[0088] If a total reset has been performed within 30 days prior to the current day, the evaluation value will be the sum of the scores from the current day up until the total reset was performed. For example, if a total reset was performed in S34 this time, the scores stored in the score database 43 in S34 this time will become the evaluation values P1 to P6.
[0089] Next, the control unit 31 determines whether the evaluation value P1 (evaluation value related to the parasympathetic nervous index) is less than -10 points (S36). If the evaluation value P1 is less than -10 points (S36: Yes), the control unit 31 determines that the user is not in a relaxed state and proceeds to S37. If the evaluation value P1 is not less than -10 points (S36: No), the control unit 31 determines that the user is in a relaxed state and proceeds to S52.
[0090] In the former case, the control unit 31 compares the evaluation value P2 (the evaluation value related to the placement position evaluation) with the evaluation value P3 (the evaluation value related to the type evaluation) (S37). If the evaluation value P2 is less than the evaluation value P3 (S37: P2<P3), the control unit 31 determines that the reason the user is not in a relaxed state is the placement position of the indoor green 57, and proceeds to S51. If the evaluation value P3 is less than the evaluation value P2 (S37: P2>P3), the control unit 31 determines that the reason the user is not in a relaxed state is the type of indoor green 57, and proceeds to S41.
[0091] In the latter case, the control unit 31 determines whether the evaluation value P5 (evaluation value related to the development status) is -6 points or less (S41). If the evaluation value P5 is -6 points or less (S41: Yes), the control unit 31 determines that the development status is not good and proceeds to S42. If the evaluation value P5 is not -6 points or less (S41: No), the control unit 31 determines that the development status is good and proceeds to S45.
[0092] In the former case, the control unit 31 determines whether the evaluation value P6 (evaluation value related to the hours of sunshine) is -5 points or less (S42). If the evaluation value P6 is -5 points or less (S42: Yes), the control unit 31 determines that there is insufficient illuminance and proceeds to S46. If the evaluation value P6 is not -5 points or less (S42: No), the control unit 31 determines that there is not insufficient illuminance and proceeds to S43.
[0093] In the latter case, the control unit 31 determines whether the evaluation value P4 (evaluation value regarding the presence or absence of care) is -3 points or less (S43). If the evaluation value P4 is -3 points or less (S43: Yes), the control unit 31 determines that the care is insufficient and proceeds to S44. If the evaluation value P4 is not -3 points or less (S43: No), the control unit 31 determines that the care is sufficient and proceeds to S45.
[0094] The control unit 31 reaches S51 when it determines in S37 that P2<P3. In this case, the control unit 31 presumes that the reason the user cannot relax is the location of the indoor green 57. Therefore, the control unit 31 performs a process to acquire the location of the indoor green 57 in order to propose a new location for the indoor green 57 (S51).
[0095] The control unit 31 reaches S46 when it determines in S37 that P2 > P3 and judges Yes in S41 and S42. In this case, the control unit 31 infers that the reason the user cannot relax is the type of indoor greenery 57, and determines that the growing conditions are poor and there is insufficient sunlight. Therefore, the control unit 31 performs processing to prioritize the sunny area (area D in FIG. 2) (S46) and proceeds to S51. In S51, the control unit 31 performs processing to acquire the placement position, prioritizing the sunny area.
[0096] The control unit 31 reaches S45 if it determines in S37 that P2 > P3 and determines No in S41, or if it determines in S37 that P2 > P3 and determines Yes in S41 and No in S42 and S43. In this case, the control unit 31 infers that the reason the user cannot relax is the type of indoor greenery 57 and determines that the growing condition is good, or that the growing condition is poor but not due to insufficient light and that the plant is being cared for well. Therefore, the control unit 31 performs a process to acquire the type in order to suggest a new type of indoor greenery 57 (S45).
[0097] The control unit 31 reaches S44 when it determines in S37 that P2 > P3, and also determines Yes in S41, No in S42, and Yes in S43. In this case, the control unit 31 infers that the reason the user cannot relax is the type of indoor greenery 57, and determines that the growing conditions are poor, not insufficient sunlight, but insufficient care. Therefore, the control unit 31 performs a process of prioritizing types that require less care (S44), and proceeds to S45. In S45, the control unit 31 performs a process of acquiring the type, prioritizing types that require less care.
[0098] If the control unit 31 determines in S37 that P2 = P3, it first executes S41 to S46, and then executes S51. In this case, the control unit 31 generally executes both the process of acquiring the type (S45) and the process of acquiring the placement position (S51). If the control unit 31 determines No in S36, it reaches S52. In this case, the control unit 31 decides not to change the placement position and type of the indoor green 57 (S52).
[0099] After executing any one of S45, S51, and S52, the control unit 31 proceeds to S53. Next, the control unit 31 generates proposal information (S53). In S53 after executing S45, the control unit 31 generates proposal information including the type of indoor green 57 acquired in S45. In S53 after executing S51, the control unit 31 generates proposal information including the placement position of the indoor green 57 acquired in S51. In S53 after executing both S45 and S51, the control unit 31 generates proposal information including the type of indoor green 57 acquired in S45 and the placement position of the indoor green 57 acquired in S51. This proposal information includes at least one of the placement position and type of the indoor green 57. In S53 after executing S52, the control unit 31 generates proposal information indicating that the placement position and type of the indoor green 57 will not be changed.
[0100] Next, the control unit 31 transmits the proposal information to the terminal device 10 (S54). In S54, the control unit 31 controls the communication unit 34 to transmit the proposal information generated in S53 to the terminal device 10. The control unit 11 of the terminal device 10 receives the proposal information transmitted from the server 30 in S20 (FIG. 4).
[0101] If the control unit 31 determines No in S36, it may not execute S53 and S54. Furthermore, in the above description, the control unit 31 acquires the evaluation values P1 to P6 together in S35, but it may also acquire the evaluation values P1 to P6 separately before each step that references the evaluation values P1 to P6. For example, the control unit 31 may acquire the evaluation value P5 before S41 and the evaluation value P6 before S42.
[0102] [Layout Position Proposal Process] In S51, the control unit 31 obtains the layout position of the indoor green 57 using the following method. The control unit 31 obtains a new layout position from the layout position evaluations (1) to (5) and area information. For each of the layout position evaluations (1) to (5), the control unit 31 calculates the total score for a predetermined period (in this embodiment, 30 days prior to the current day) stored in the score database 43, and checks which of the five totals is the smallest.
[0103] If the total score of the placement position evaluation (1) corresponding to question 1 (1) "few plants are visible" is the smallest, the control unit 31 determines the area in front of the sofa 52 as the new placement position. However, if the placement position is at the very front of the living room 50, the control unit 31 determines the area closer to the center of the living room 50 as the new placement position. For example, if the current placement position is area F, the control unit 31 determines area D as the new placement position; if the current placement position is area D, the control unit 31 determines area A as the new placement position; and if the current placement position is area A or G, the control unit 31 determines area B as the new placement position.
[0104] If the total score of the placement position evaluation (2) corresponding to question 1 (2) "A large amount of plants are visible" is the smallest, the control unit 31 determines the new placement position to be an area behind the sofa 52. However, if the current placement position is already at the very back of the living room 50, the control unit 31 determines the new placement position to be an area closer to the center of the living room 50.
[0105] If the total score of the placement position evaluation (3) corresponding to question 1 (3) “the left-right balance of the direction in which the plant is visible is poor” is the smallest, the control unit 31 determines the new placement position to be an area moved one area to the left or right of the sofa 52.
[0106] If the total score of the placement position evaluation (4) corresponding to question 1 (4) "The plant is in a location that is difficult to care for" is the smallest, the control unit 31 will set the new placement position to the area closest to the current placement position among the pre-set areas that are easy to care for.
[0107] If the total score of the placement position evaluation (5) corresponding to question 1 (5) "Plants are an obstacle to passage" is the smallest, the control unit 31 will determine the area closest to the current placement position as the new placement position, excluding any pre-set areas that obstruct passage.
[0108] When the control unit 31 executes S51 after executing S46, the control unit 31 sets a preset sunny area as the new placement position. For example, in the state shown in FIG. 2, the control unit 31 sets area D as the new placement position.
[0109] [Type suggestion process] The plant database 44 shown in Fig. 10 stores the characteristics (height, shape, color, fragrance, and leaf density) and type of plant for each plant category. In Fig. 10, "H" indicates tall, and "L" indicates short. The type column stores the names of plants belonging to each category. A black circle written after the name indicates low solar radiation requirement, and a double circle indicates low care requirement. The plant database 44 is an example of a database.
[0110] In S45, the control unit 31 acquires the type of indoor green 57 using the following method. For each of the type evaluations (1) to (5), the control unit 31 calculates the total score for a predetermined period (in this embodiment, from the current day until the total is reset) stored in the score database 43, and identifies features for which the total score is -7 points or less. The control unit 31 then calculates a category from the plant database 44 in which the identified features differ from the features of the current indoor green 57, and designates the type that belongs to the calculated category as the new type. However, if multiple types belong to the calculated category, the control unit 31 designates the type that was acquired most recently as the new type.
[0111] When the control unit 31 executes S45 after executing S44, it selects a new species from among the species with a low level of care necessity stored in the plant database 44. However, if the plant database 44 stores multiple species with a low level of care necessity, the control unit 31 selects the species that was acquired most recently as the new species.
[0112] In the above description, S2, S3, S5, and S7 shown in Fig. 3 are examples of a determination process, an estimation process, a placement position proposal process, and a type proposal process, respectively. S34 and S35 shown in Fig. 6 are examples of a conversion process and a calculation process, respectively, and S36 to S37, S41 to S46, and S51 to S52 are examples of a proposal process.
[0113] [Effects of the Embodiment] As described above, in the indoor green space proposal system 1 according to the embodiment of the present invention, the control unit (control units 11, 31) generates proposal information including at least the location and type of plants (indoor green space 57) placed indoors based on at least the output signal X1 of the heart rate sensor 21 and the answers input from the input unit 15, and the display unit 16 displays the proposal information generated by the control unit. Therefore, the indoor green space proposal system 1 can propose an optimal location and type of indoor green space 57 by generating and displaying proposal information including the location and type of plants placed indoors based on the heart rate of a person (a user of the room 50) who is indoors and the person's answers to questions about the plants placed indoors.
[0114] The control unit also executes a determination process (S2) to determine whether the indoor person is in a relaxed state based on the output signal X1 of the heart rate sensor 21. If it is determined that the indoor person is not in a relaxed state, the control unit executes an estimation process (S3) to estimate the cause of the relaxation. If it is determined that the plant's placement is the cause, the control unit executes a placement position proposal process (S5) to generate proposal information including the plant's placement position. If it is determined that the plant's type is the cause, the control unit executes a type proposal process (S7) to generate proposal information including the plant's type. Thus, it is possible to determine whether the indoor person is in a relaxed state based on the person's heart rate. If the indoor person is not in a relaxed state, the control unit estimates the cause and generates and displays proposal information including the plant's placement position and type, thereby suggesting the placement position and type of indoor greenery 57 that will resolve the cause of the relaxation state.
[0115] Furthermore, in the determination process, the control unit 11 acquires a parasympathetic nervous index of the person indoors based on the output signal X1 of the heartbeat sensor 21, and determines whether the person is in a relaxed state based on the acquired parasympathetic nervous index. Therefore, it is possible to accurately determine whether the person indoors is in a relaxed state based on the parasympathetic nervous index based on the heartbeat of the person indoors. Furthermore, in the determination process, the control unit 11 acquires a parasympathetic nervous index based on the output signal X1 of the heartbeat sensor 21 after a predetermined time (10 minutes) has elapsed since the seating sensor 24 detected that the person indoors has become seated. Therefore, it is possible to accurately acquire an accurate parasympathetic nervous index based on the heartbeat after the predetermined time has elapsed since the person indoors sat down, and to accurately determine whether the person is in a relaxed state.
[0116] The display unit 16 also displays a question (Question 1) regarding the placement of a plant placed indoors, a question (Question 2) regarding the type of plant, a question (Question 4) regarding the care of the plant, and a question (Question 3) regarding the stress experienced by the person indoors. Therefore, based on the answers of the person indoors to the four types of questions, it is possible to suggest an appropriate placement location and type of indoor greenery 57. The display unit 16 also displays at least a question regarding the placement of a plant placed indoors and a question regarding the type of plant, and the control unit 31 infers the reason why the person indoors is not in a relaxed state based on the answers to the two types of questions input from the input unit 15 during the estimation process. Therefore, based on the answers of the person indoors to the two types of questions, it is possible to infer the reason why the person indoors is not in a relaxed state.
[0117] The control unit also acquires growth status information indicating the growth status of plants placed indoors based on images captured by the camera 22, and generates proposal information based at least on the acquired growth status information, the output signal X1 of the heartbeat sensor 21, and the response input from the input unit 15. Therefore, the control unit acquires growth status information of plants placed indoors based on images captured by the camera 22, and can suggest suitable placement positions and types of indoor greenery 57 by referring to the growth status information of the plants. The control unit also acquires growth status information including at least one of the leaf color and the number of fallen leaves of plants placed indoors based on images captured by the camera 22. Therefore, the control unit acquires growth status information including the leaf color and the number of fallen leaves of plants based on images captured by the plants placed indoors, and can suggest suitable placement positions and types of indoor greenery 57 based on this information.
[0118] The control unit also acquires the sunshine hours based on the illuminance measured by the illuminance sensor 23, and generates proposal information based on at least the acquired sunshine hours, the output signal X1 of the heart rate sensor 21, and the response input from the input unit 15. Therefore, the control unit can propose an appropriate placement location and type of indoor greenery 57 by referring to the sunshine hours at the placement location of the plant. The control unit also divides the indoor space into multiple areas 51, and generates proposal information including a brighter area (e.g., area D) as a placement location for the plant in response to a determination that there is insufficient illuminance based on the acquired sunshine hours. Therefore, the control unit can propose a brighter area as a placement location for the plant in response to a determination that there is insufficient illuminance.
[0119] The control unit also executes a conversion process (S34) that converts data including the output signal X1 of the heartbeat sensor 21 and the answers input from the input unit 15 into scores according to a predetermined conversion rule, a calculation process (S35) that calculates evaluation values P1 to P6 based on the scores obtained in the conversion process, and a proposal process (S36 to S37, S41 to S46, and S51 to S52) that generates proposal information based on the evaluation values P1 to P6 calculated in the calculation process. Therefore, by converting data such as the heartbeats of people indoors and their answers to questions into scores and calculating evaluation values based on the obtained scores, proposal information can be easily generated based on the calculated evaluation values.
[0120] The control unit also generates proposal information including the type of plant by referring to a database that stores the types and characteristics of plants (plant database 44). Therefore, by referring to the database that stores the types and characteristics of plants, it is possible to propose types of plants that are suitable for indoor greenery 57.
[0121] [Modifications] Various modifications can be made to the indoor green space proposal system according to the present embodiment. The indoor green space proposal system according to the modification does not need to include the camera 22 and / or the illuminance sensor 23. In this modification, the control unit generates proposal information including at least one of the location and type of the indoor green space 57 based on at least the output signal X1 of the heart rate sensor 21 and the response input from the input unit 15.
[0122] Furthermore, the indoor greening suggestion system according to this modification does not need to include the seating sensor 24. In this modification, the control unit acquires the parasympathetic nervous index based on the output signal X1 of the heart rate sensor 21, for example, 10 minutes after the user operates the input unit 15 to input that they are seated. Alternatively, if the indoor greening suggestion system does not include the seating sensor 24, the control unit may start recording the user's heart rate data at a predetermined time and display a question for the user on the display unit 16. For example, when a sensor such as a human presence sensor detects the presence of a person indoors (room 50) where plants are arranged, the control unit may start recording the heart rate data and display a question on the display unit 16 after a predetermined time has elapsed since the sensor detected the presence of a person.
[0123] In the indoor green space recommendation system 1, the control units 11 and 31 perform the functional division shown in Figures 4 and 6. In an indoor green space recommendation system according to a modified example, the control units 11 and 31 may perform functional division different from the above. In the indoor green space recommendation system 1, the control unit 11 determines heart rate data based on the output signal X1 of the heart rate sensor 21, determines the leaf color and number of fallen leaves based on the image signal X2 output from the camera 22, and determines the hours of sunshine based on the output signal X3 of the illuminance sensor 23. In an indoor green space recommendation system according to a modified example, the control unit 31 may perform all or part of these processes.
[0124] The indoor greenery proposal system according to this modification may include a terminal device 10, but may not include a server 30. In this modification, the input database 41, the conversion rule table 42, the score database 43, and the plant database 44 are stored in the memory unit 13, and the control unit 11 performs the operation shown in Fig. 6 in addition to the operation shown in Fig. 4.
[0125] In a modified indoor greenery proposal system, the server 30 does not include a CPU 32, the plant database 44 is stored in the memory unit 33, and the input database 41, the conversion rule table 42, and the score database 43 may be stored in the memory unit 13. In this modified example, the control unit 11 also performs the operation shown in Fig. 6 in addition to the operation shown in Fig. 4. The control unit 11 reads out the entire plant database 44 stored in the memory unit 33, for example, once a day, and stores it in the memory unit 13.
[0126] In the indoor greening proposal system according to the modified example, the display unit on which the questions for the user are displayed and the display unit on which the proposal information is displayed may be different display units. For example, one display unit may be the display unit of a smartphone, and the other display unit may be the display unit of a tablet terminal. In this case, the two display units are examples of display units of the indoor greening proposal system.
[0127] In the indoor green proposal system according to the modified example, the output signal X1 of the heartbeat sensor 21, the image signal X2 output from the camera 22, and the output signal X3 of the illuminance sensor 23 may be transmitted to the server 30 without passing through the terminal device 10. In this modified example, the control unit 31 processes these signals.
[0128] The living room that is the processing target of the indoor green space suggestion system 1 and its modified examples is not limited to the living room 50 shown in FIG. 2 . The shape, size, etc. of the living room may be arbitrary. The control unit 11 may divide the living room 50 into any number of areas. Furthermore, the placement location of the indoor green space 57 is not limited to the living room of a house. The indoor green space may be placed indoors in a building other than a house (for example, a store, public facility, hotel, hospital, etc.), or may be placed indoors other than a living room of a house (for example, a hallway, entrance, etc.).
[0129] In the indoor greenery proposal system according to the modified example, the display unit 16 may display questions different from the 12 questions shown in Figures 5(A) to 5(C). In the indoor greenery proposal system according to the modified example, the input database 41 may store data different from the data shown in Figure 7, the score database 43 may store scores different from the scores shown in Figure 9, and the plant database 44 may store types and characteristics different from the types and characteristics shown in Figure 10.
[0130] In the indoor green space proposal system according to the modified example, the control unit may convert the data stored in the input database 41 into scores according to any conversion rule, or may obtain an evaluation value by any method based on the scores stored in the score database 43. The control unit may make a determination different from that in S36 to S37 and S41 to S43 shown in FIG. 6 and generate proposal information that includes at least one of the placement position and type. For example, the threshold values compared with the evaluation value in S36 and S41 to S43 may be different values.
[0131] [Supplementary Note 1] An indoor greening proposal system comprising: a heart rate sensor that measures the heart rate of a person indoors; a display unit that displays questions to the person indoors regarding plants placed indoors; an input unit for inputting answers to the questions; and a control unit, wherein the control unit generates proposal information including at least one of the location and type of plants placed indoors based on at least an output signal from the heart rate sensor and the answers input from the input unit, and the display unit displays the proposal information generated by the control unit.
[0132] [Supplementary Note 2] The control unit executes a judgment process to judge whether the person indoors is in a relaxed state based on the output signal of the heart rate sensor, executes an estimation process to estimate the cause of the person not in a relaxed state based on the answer input from the input unit if the judgment process determines that the person is not in a relaxed state, executes a placement position proposal process to generate the proposal information including the placement position of the plant if the estimation process determines that the cause is the placement position of the plant, and executes a type proposal process to generate the proposal information including the type of plant if the estimation process determines that the cause is the type of plant. This is the indoor greenery proposal system described in Supplementary Note 1.
[0133] [Appendix 3] In the indoor green proposal system described in Appendix 2, in the judgment process, the control unit acquires a parasympathetic nervous index of the person indoors based on the output signal of the heart rate sensor, and determines whether the person indoors is in a relaxed state based on the acquired parasympathetic nervous index.
[0134] [Appendix 4] The indoor green proposal system according to Appendix 3 further comprises a seating sensor that detects whether or not the person in the room is seated, and the control unit, in the determination process, acquires the parasympathetic nervous index based on the output signal of the heart rate sensor after a predetermined time has elapsed since the seating sensor detected that the person in the room has become seated.
[0135] [Appendix 5] The indoor greening proposal system according to any one of Appendices 1 to 4, wherein the display unit displays questions regarding the placement of the plant placed indoors, questions regarding the type of the plant, questions regarding the care of the plant, and questions regarding the stress experienced by the person indoors.
[0136] [Appendix 6] The indoor green proposal system described in Appendix 2, wherein the display unit displays at least a question regarding the placement location of the plant placed indoors and a question regarding the type of the plant, and the control unit, in the estimation process, estimates the reason why the person indoors is not in a relaxed state based on the answers to the two types of questions input from the input unit.
[0137] [Appendix 7] An indoor green proposal system as described in any of Appendices 1 to 6, further comprising a camera that captures images including the plants placed indoors, wherein the control unit acquires growth status information indicating the growth status of the plants placed indoors based on the images captured by the camera, and generates the proposal information based on at least the acquired growth status information, the output signal of the heart rate sensor, and the answer input from the input unit.
[0138] [Appendix 8] The indoor greening proposal system according to Appendix 7, wherein the control unit acquires the growth status information including at least one of the leaf color and the number of fallen leaves of the plants placed indoors based on an image captured by the camera.
[0139] [Appendix 9] An indoor green proposal system as described in any of Appendices 1 to 8, further comprising an illuminance sensor that measures the illuminance at the position where the plant is placed indoors, wherein the control unit obtains the hours of daylight based on the illuminance measured by the illuminance sensor, and generates the proposal information based on at least the obtained hours of daylight, the output signal of the heart rate sensor, and the answer input from the input unit.
[0140] [Appendix 10] The indoor green proposal system according to Appendix 9, wherein the control unit divides the indoor space into a plurality of areas, and generates the proposal information including brighter areas as positions for plant placement when it determines that there is insufficient light based on the acquired daylight hours.
[0141] [Supplementary Note 11] The indoor green proposal system described in any one of Supplementary Notes 1 to 10, wherein the control unit executes a conversion process that converts data including the output signal of the heart rate sensor and the answer input from the input unit into scores in accordance with predetermined conversion rules, a calculation process that calculates an evaluation value based on the score obtained in the conversion process, and a proposal process that generates the proposal information based on the evaluation value calculated in the calculation process.
[0142] [Supplementary Note 12] The indoor greenery proposal system according to any one of Supplementary Notes 1 to 11, wherein the control unit generates the proposal information including the type of plant by referring to a database that stores the type and characteristics of the plant.
[0143] 1: Indoor greening proposal system 10: Terminal device 11, 31: Control unit 15: Input unit 16: Display unit 21: Heart rate sensor 22: Camera 23: Illuminance sensor 24: Seating sensor 30: Server 44: Plant database (database) 50: Living room 51: Area 57: Indoor greening (plants)
Claims
1. An indoor greening proposal system comprising: a heart rate sensor that measures the heart rate of a person indoors; a display unit that displays questions to the person indoors regarding plants placed indoors; an input unit for inputting answers to the questions; and a control unit, wherein the control unit generates proposal information including at least one of the location and type of plants placed indoors based on at least the output signal of the heart rate sensor and the answers input from the input unit, and the display unit displays the proposal information generated by the control unit.
2. The control unit executes a judgment process to determine whether the person indoors is in a relaxed state based on the output signal of the heart rate sensor, executes an estimation process to estimate the cause of the person not in a relaxed state based on the answer input from the input unit if the judgment process determines that the person is not in a relaxed state, executes a placement position proposal process to generate the proposal information including the placement position of the plant if the estimation process determines that the cause is the placement position of the plant, and executes a type proposal process to generate the proposal information including the type of plant if the estimation process determines that the cause is the type of plant.
3. The indoor green proposal system of claim 2, wherein the control unit, in the judgment process, acquires a parasympathetic nervous index of the person indoors based on the output signal of the heart rate sensor, and determines whether the person indoors is in a relaxed state based on the acquired parasympathetic nervous index.
4. The indoor green proposal system of claim 3 further comprises a seating sensor that detects whether the person in the room is seated, and the control unit, in the judgment process, acquires the parasympathetic nervous index based on the output signal of the heart rate sensor after a predetermined time has elapsed since the seating sensor detected that the person in the room has become seated.
5. An indoor green proposal system as described in any one of claims 1 to 4, wherein the display unit displays questions regarding the placement location of the plants placed indoors, questions regarding the type of the plants, questions regarding the care of the plants, and questions regarding the stress experienced by people indoors.
6. The indoor green proposal system of claim 2, wherein the display unit displays at least questions regarding the placement of plants placed indoors and questions regarding the type of plants, and the control unit, in the estimation process, estimates the reason why the person indoors is not in a relaxed state based on the answers to the two types of questions input from the input unit.
7. An indoor green proposal system as described in any one of claims 1 to 4, further comprising a camera that captures images including the plants placed indoors, wherein the control unit acquires growth status information indicating the growth status of the plants placed indoors based on the images captured by the camera, and generates the proposal information based on at least the acquired growth status information, the output signal of the heart rate sensor, and the answer input from the input unit.
8. The indoor green proposal system described in claim 7, wherein the control unit acquires the growth status information including at least one of the leaf color and the number of fallen leaves of the plants placed indoors based on images taken by the camera.
9. An indoor green proposal system as described in any one of claims 1 to 4, further comprising an illuminance sensor that measures the illuminance at the position where the plant is placed indoors, wherein the control unit obtains the hours of daylight based on the illuminance measured by the illuminance sensor, and generates the proposal information based on at least the obtained hours of daylight, the output signal of the heart rate sensor, and the answer input from the input unit.
10. The indoor green proposal system of claim 9, wherein the control unit divides the indoor space into multiple areas and, in response to determining that there is insufficient light based on the acquired daylight hours, generates the proposal information including brighter areas as locations for plant placement.
11. An indoor green proposal system as described in any one of claims 1 to 4, wherein the control unit performs a conversion process that converts data including the output signal of the heart rate sensor and the answers input from the input unit into scores in accordance with predetermined conversion rules, a calculation process that calculates an evaluation value based on the score obtained in the conversion process, and a proposal process that generates the proposal information based on the evaluation value calculated in the calculation process.
12. An indoor green proposal system as described in any one of claims 1 to 4, wherein the control unit generates the proposal information including the type of plant by referring to a database storing the type and characteristics of the plant.
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