Exercise proposition device and method for proposing exercise

Abstract

To propose to a user of a mobile body after moving by the mobile body to have an exercise for a proper length of time.SOLUTION: An exercise proposition device 1 according to the present disclosure includes a determination unit and a proposition unit. The determination unit determines a predetermined length of time on the basis of mobility information showing at least one of the moving distance and moving time from when the user gets in the mobile body to when the user arrives at a destination. The proposition unit proposes the user to exercise for the predetermined length of time.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to an exercise suggestion device and an exercise suggestion method. [Background technology]

[0002] Patent Document 1 discloses a technique for searching for travel routes based on an allowable travel time that is within a user's tolerance range, and calculating and displaying the calories burned by walking for each travel route. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2018-031699 A Summary of the Invention [Problem to be solved by the invention]

[0004] Incidentally, people may travel by boarding a moving object, and if exercise can be suggested to the person after the travel, it will be a good opportunity to exercise. Therefore, it is desirable to develop a technology that can suggest exercise at an appropriate time to the user of the moving object. Note that, although the technology described in Patent Document 1 can assist the user in selecting a route by presenting the user with calories burned by walking, it does not have the idea of ​​making such a suggestion using the calculated calories burned. [Means for solving the problem]

[0005] The exercise suggestion device according to the present disclosure includes a determination unit that determines a specified time based on travel information indicating at least one of a travel distance and travel time to a destination by a moving body boarded by a user, and a suggestion unit that suggests to the user to exercise for a period of time equal to or longer than the specified time.

[0006] The exercise suggestion method disclosed herein involves a computer determining a specified time based on travel information indicating at least one of a travel distance and travel time to a destination by a mobile vehicle boarded by a user, and suggesting to the user to exercise for at least the specified time. Effect of the Invention

[0007] According to the present disclosure, it is possible to suggest appropriate exercise times to a user of a mobile body. [Brief description of the drawings]

[0008] [Figure 1] 1 is a block diagram showing a configuration example of an exercise suggestion device according to a first embodiment. [Diagram 2] 2 is a flow chart for explaining an example of exercise suggestion processing executed by the exercise suggestion device of FIG. 1. [Diagram 3] 2 is a schematic diagram showing an example of an environment in which the exercise suggestion device of FIG. 1 is used. [Figure 4] 2 is a schematic diagram showing an example of a proposal image displayed in the exercise proposal device of FIG. 1. [Diagram 5] FIG. 11 is a block diagram showing a configuration example of an exercise suggestion system including an exercise suggestion device according to a second embodiment. [Figure 6] 6 is a flow chart for explaining an example of exercise suggestion processing executed by the exercise suggestion device of FIG. 5. [Figure 7] FIG. 11 is a block diagram showing a configuration example of an exercise suggestion device according to a third embodiment. [Figure 8] 8 is a flow chart for explaining an example of exercise suggestion processing executed by the exercise suggestion device of FIG. 7. [Figure 9] 8 is a schematic diagram showing an example of the location of an event detected by the exercise suggestion process in an example of an environment in which the exercise suggestion device of FIG. 7 is used. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] The following describes an embodiment of the invention, but the invention according to the claims is not limited to the following embodiment. Also, not all of the configurations described in the embodiment are necessarily essential as means for solving the problem. For clarity of explanation, the following description and drawings have been omitted and simplified as appropriate.

[0010] <Embodiment 1> A configuration example of the exercise suggestion device according to the first embodiment will be described with reference to Fig. 1. Fig. 1 is a block diagram showing a configuration example of the exercise suggestion device according to the first embodiment.

[0011] 1, exercise suggestion device 1 according to this embodiment may include a control unit 10, a storage unit 16, an operation unit 17, a display unit 18, a location information acquisition unit 19, and a communication unit 20. The exercise suggestion device 1 has a function of suggesting exercise to a user, the details of which will be described later. The exercise suggestion device 1 may be configured by installing the functions of the exercise suggestion device 1 in a general-purpose information processing device such as a smartphone, a smartwatch, or a PC (Personal Computer), but may also be configured as a dedicated device.

[0012] The control unit 10 controls the entire exercise suggestion device 1. The control unit 10 may be realized by, for example, a processor such as a CPU (Central Processing Unit), a working memory, and a non-volatile storage device storing a control program. The program may include a program that is executed by the processor to realize the functions of the exercise suggestion device 1. The control unit 10 may also be realized by using an integrated circuit programmable by a user, such as an FPGA (field-programmable gate array) or a microcomputer.

[0013] The storage unit 16 is a storage device such as an SSD (Solid State Drive) or an HDD (Hard Disk Drive) that stores various information used by the exercise suggestion device 1. The operation unit 17 is a part that accepts operations by a user, and the contents of the operation are transmitted to the control unit 10, and the control unit 10 executes control according to the contents. The operation unit 17 may be composed of at least one of physical keys and software keys, or may be composed of a voice input unit and a voice recognition unit, or may be composed of both.

[0014] The display unit 18 may be configured with a display device such as a liquid crystal panel, an organic electroluminescence panel, etc. The operation unit 17 may include a touch sensor incorporated in the display unit 18. In that case, the exercise suggestion device 1 includes a touch panel as an example of the display unit 18 and the operation unit 17.

[0015] The position information acquisition unit 19 acquires position information by a Global Navigation Satellite System (GNSS). The position information acquisition unit 19 is, for example, a receiver in the GNSS. The position information acquisition unit 19 can also acquire time information indicating the time at which the position information is acquired, in addition to acquiring the position information.

[0016] The communication unit 20 communicates with an external device. The communication unit 20 may be, for example, a communication unit that communicates in accordance with a short-range wireless communication standard such as Bluetooth (registered trademark; the same applies below) LE (Low Energy), or a communication unit that communicates in accordance with a wireless communication standard such as WiFi (registered trademark; the same applies below).

[0017] Next, a detailed description will be given of the control unit 10 which is responsible for the main functions of the exercise suggestion device 1. The control unit 10 can include an information acquisition processing unit 11, a decision processing unit 12, and a suggestion processing unit 13, as shown in FIG.

[0018] The information acquisition processing unit 11, together with the communication unit 20, constitutes the next information acquisition unit. The information acquisition unit acquires movement information, which is information indicating at least one of the movement distance and movement time to the destination by the moving object boarded by the user. This movement information can be said to be information indicating the amount of movement. The movement distance and movement time to the destination can respectively refer to the movement distance and movement time from the departure point to the destination, but may also refer to the movement distance and movement time from a position designated by the user to the destination. Note that the destination may actually be a relay point, and for example, when there is an interruption in movement for a certain period of time, the destination may be considered to have arrived at the destination at that time and processing may be performed. The information acquisition processing unit 11 may acquire information such as the type of the moving object, the driving status of the moving object, and the comfort of the seats of the moving object via, for example, the communication unit 20.

[0019] The moving body may be a mobility that allows a user to sit down and move by driving it manually, automatically, or both manually and automatically, such as a senior car, also called a handle-type electric wheelchair. Although a senior car is an electric cart, the driving source of the moving body is not limited to electricity. The following description is mainly based on the assumption that the moving body is a senior car, but the same applies to other types of moving bodies. Other types of moving bodies include, for example, bicycles, automobiles, motorcycles, airplanes, trains, ships, etc., and are not limited to single-seater moving bodies. If the moving body is not a single-seater moving body, it may be a moving body driven by the user himself, or may be a car driven by another person such as a family member, or a moving body of public transportation such as a bus or taxi. Also, as can be seen from this example, the moving body is not limited to a moving body that is treated as a pedestrian under laws such as the Road Traffic Act.

[0020] For example, the information acquisition processing unit 11 can acquire movement information from the moving object via the communication unit 20. The exercise suggestion device 1 may be included in the moving object. The information acquisition processing unit 11 passes the acquired movement information to the determination processing unit 12.

[0021] The information acquisition processing unit 11 can also detect the movement of the exercise suggestion device 1 itself using the position information acquisition unit 19 mounted on the moving body or a mobile device carried by the user, without using the communication unit 20, and acquire the movement information. In this case, the information acquisition processing unit 11, together with the position information acquisition unit 19, constitutes the information acquisition unit. The information acquisition processing unit 11 can calculate the movement distance and movement time of the moving body based on the position information and time information acquired by the position information acquisition unit 19. The movement time can also be obtained by measuring the time from departure to arrival using a separately provided timer. In addition, the exercise suggestion device 1 or the moving body may include an acceleration sensor (not shown), and the information acquisition processing unit 11 may acquire information on the acceleration and movement speed generated in the user's body or the moving body from the acceleration sensor, and calculate the movement distance and movement time.

[0022] The determination processing unit 12 constitutes the next determination unit together with, for example, the storage unit 16. The determination unit determines a predetermined time, which is a recommended time for exercise to be proposed to the user, based on the movement information. For example, the determination processing unit 12 determines the predetermined time by referring to information previously stored in the storage unit 16 as a correspondence table or the like based on the movement information received from the information acquisition processing unit 11 and reading out the predetermined time corresponding to the movement information. For example, when the movement information received from the information acquisition processing unit 11 indicates that the movement distance is short or the movement time is short, the determination processing unit 12 determines a relatively long predetermined time and suggests to the user to exercise for a long time. Alternatively, the determination processing unit 12 may determine the predetermined time by substituting a value indicated by the movement information into a predetermined calculation formula. A learning model generated by machine learning may be used for such a determination. The determination processing unit 12 passes the determined predetermined time to the proposal processing unit 13.

[0023] The determination processing unit 12 may also calculate the amount of exercise required for the movement based on the movement information, and determine the predetermined time based on the calculated amount of exercise. The determination processing unit 12 may calculate the amount of exercise required for the movement based on the exercise intensity of the movement, for example, in units of METs, and the time required for the movement. The determination processing unit 12 may accumulate the calculated amount of exercise as a history in the storage unit 16. The amount of exercise required for the user to move on a moving object can be considered to vary depending not only on at least one of the moving distance and the moving time, but also on the type of moving object, the driving conditions of the moving object, the comfort of the seat of the moving object, and the like.

[0024] In fact, moving on a mobile object has an aspect of psychological activity, but since it is connected to health, it can also be considered as exercise. Specifically, by moving on a mobile object, a user can experience things such as being exposed to the outside air, feeling the wind, being exposed to the sun, and feeling the temperature difference on their skin, and it can be said that these experiences are connected to mental and physical health.

[0025] Therefore, the driving conditions may include one or more of the following: time of day, sunshine hours, amount of sunlight, amount of ultraviolet rays, wind volume, wind direction, temperature, road undulation, and step. Note that the sunshine hours, amount of sunlight, amount of ultraviolet rays, wind volume, wind direction, temperature, road undulation, and step can be detected by a sensor provided in the moving object or exercise suggestion device 1. Among these, the sunshine hours, amount of sunlight, amount of ultraviolet rays, wind volume, wind direction, and temperature may be acquired by the decision processing unit 12 from an external server device via the communication unit 20 as weather information.

[0026] In this way, the determination processing unit 12 may quantify the movement information and driving conditions when the user moves in a moving body such as a senior car by converting them into the amount of exercise required for the user's movement, and determine the predetermined time based on the amount of exercise. In addition, when accumulating the amount of exercise, for example, the start and end times of the movement, the movement distance, the movement time, the road surface experience index, the outdoor bathing index, etc. can be accumulated as the amount of exercise. Here, the road surface experience index can be a value that ranks the degree of undulation. The outdoor bathing index can be a value that quantifies environmental information such as sunshine hours, amount of sunlight, amount of ultraviolet rays, wind volume, wind direction, and temperature using a predetermined conversion formula.

[0027] In addition, the influence of road undulations and the like on the moving body differs depending on the moving body, and the vibrations received by the user also differ depending on the moving body. In addition, the user's perception of sunlight, wind, temperature, and the like differs depending on the shape of the moving body, such as the presence or absence of a roof. Therefore, the determination processing unit 12 may calculate the amount of exercise so that the calculation result differs depending on the moving body used or the type of moving body used.

[0028] The proposal processing unit 13 constitutes the next proposal unit together with, for example, the storage unit 16 and the display unit 18. The proposal unit proposes to the user to exercise without using a moving object for a predetermined time or more determined by the decision processing unit 12 after arriving at the destination. This proposal unit can be called an exercise proposal unit because it proposes exercise to the user. Since this proposal is a proposal to exercise for a predetermined time or more, it can be said that the predetermined time is a threshold for the proposal. This exercise can be walking, running, etc., but it may also be a type of exercise that does not involve movement, such as calisthenics. The proposal processing unit 13 may propose, for example, to exercise for a required time or more determined by the decision processing unit 12 before moving, rather than after arriving at the destination. The proposal processing unit 13 may propose, for example, to exercise using a moving object to move for a predetermined time or more determined by the decision processing unit 12.

[0029] For example, the suggestion processing unit 13 makes a suggestion by reading out a UI (User Interface) image stored in advance in the storage unit 16, embedding the predetermined time received from the decision processing unit 12 in the UI image, and displaying it on the display unit 18. When making a suggestion of a type of exercise, it is preferable to include the type of exercise to be suggested in the UI image.

[0030] The suggestion processing unit 13 can, for example, select a destination that allows exercise for a predetermined time or more from the destination determined based on the acquired travel information, for example, a destination that is within a distance that can be reached by walking for a predetermined time, and present the destination on the display unit 18. In order to present the destination, the suggestion processing unit 13 may read map data previously stored in the storage unit 16, and display the destination on a map indicated by the map data on the display unit 18. Note that a navigation system may be used to display such a map.

[0031] For example, the proposal processing unit 13 proposes a destination that can ensure a total amount of exercise, which is the sum of the amount of exercise required for travel and the amount of walking by walking after arrival, or a destination that can maintain a constant amount of exercise, taking into consideration that the degree of fatigue due to travel increases according to the amount of travel by the senior car. Specifically, the proposal processing unit 13 proposes a destination that can be reached by 10 minutes of walking after the user has traveled for 20 minutes by the senior car, and proposes a destination that can be reached by 15 minutes of walking after the user has traveled for 10 minutes by the senior car. Here, as described above, the amount of exercise of the user due to travel by the mobile object can be calculated by the determination processing unit 12 and can refer to the value accumulated in the storage unit 16. The proposal processing unit 13 may estimate the amount of exercise for exercise such as walking or running that does not use a mobile object for each candidate destination, and determine the destination to be proposed.

[0032] Conversely, the proposal processing unit 13 may propose a destination that maintains a time ratio between driving in the senior car and walking. Specifically, the proposal processing unit 13 proposes a destination that can be reached by 10 minutes of walking after the user has driven the senior car for 20 minutes, and proposes a destination that can be reached by 5 minutes of walking after the user has driven the senior car for 10 minutes.

[0033] In addition, the suggestion processing unit 13 may obtain weather forecast information predicting the current weather or the weather up to the time when the above-mentioned specified time has elapsed from the current weather from an external server device via the communication unit 20, and change the suggested destination depending on the obtained weather.

[0034] Of course, the proposal processing unit 13 may propose a time for exercise such as walking, or a time and type of exercise, instead of a destination. For example, the proposal processing unit 13 may propose a plurality of types of exercise and the time for each type of exercise, such as 10 minutes of walking, 5 minutes of running, or 20 minutes of calisthenics, after the user has driven a senior car for 20 minutes. The proposal processing unit 13 may also change the content of the proposal depending on the user's age, the user's health condition, and whether the moving object is a senior car or the back seat of another type of vehicle. The proposal candidates may be set by the user himself / herself. The proposal processing unit 13 may also make a proposal using a learning model generated by machine learning. In particular, by making a proposal using a learning model that has been machine-learned using a data set including information on the user's personal proposal acceptance, a proposal specialized for the user can be made.

[0035] Furthermore, when the user performs an exercise suggested by the suggestion processing unit 13, the control unit 10 can store at least one of the exercise distance, exercise time, and amount of exercise calculated from the exercise distance and exercise time for that exercise as an exercise history in the storage unit 16. Similarly, the control unit 10 can store exercise history for exercises that are not suggested in the storage unit 16. The control unit 10 may store the exercise history without distinguishing between suggested exercises and exercises unrelated to the suggestions, or may store the exercise history by distinguishing between them.

[0036] The proposal processing unit 13 can also vary the content of the proposed exercise based on the movement information about the movement on a moving object or the history of the amount of exercise. The proposal processing unit 13 can also vary the content of the proposed exercise based on the movement information about the movement on a moving object or the history of the amount of exercise and the history of the amount of exercise about the exercise without using a moving object. In these examples, the content of the proposed exercise is varied by referring to the past history. This makes it possible to determine the content of the proposed exercise based on the user's past behavioral patterns.

[0037] Varying the content of the proposed exercise may mean, for example, varying the type of exercise, such as walking or jogging. However, the proposal processing unit 13 may vary the coefficient for adding or multiplying to the predetermined time, for example, to vary the upper limit of the predetermined time to be proposed depending on the history. In either example, the proposal processing unit 13 may determine the content of the proposed exercise using a learning model obtained by machine learning.

[0038] The proposal processing unit 13 may constitute a proposal unit together with the storage unit 16 and an audio output unit (not shown). In this case, the content of the proposal is output as a voice from the audio output unit.

[0039] With the above configuration, the exercise suggestion device 1 can suggest an appropriate amount of exercise to a user of the moving body after the user has moved on the moving body, taking into consideration the amount of exercise required for the move and fatigue caused by the move. Since the exercise suggestion device 1 supports the user's actions by suggesting exercises to the user in this way, it may be called an action support device.

[0040] Furthermore, the user can respond from the operation unit 17 as to whether or not to accept the exercise proposed by the proposal processing unit 13. The proposal processing unit 13 may simultaneously propose multiple types of candidates, such as multiple destinations. In this case, the user can respond as to which proposal to accept from among the multiple types of candidates.

[0041] Furthermore, the control unit 10 can include a setting processing unit 14 and a destination proposal processing unit 15. The setting processing unit 14 constitutes the next setting unit together with, for example, a storage unit 16, an operation unit 17, and a display unit 18. The setting unit sets an upper limit for at least one of the travel distance and travel time on a mobile object that is acceptable to or desired by the user, i.e., an upper limit for at least one of the travel distance and travel time of the user on the mobile object.

[0042] For example, the setting processing unit 14 may store this upper limit in the storage unit 16 in accordance with a user operation received from the operation unit 17. Alternatively, the setting processing unit 14 may determine an upper limit that is estimated to be currently preferable using, for example, a learning model that performs machine learning on the user's behavioral patterns, and store the upper limit in the storage unit 16. Furthermore, the setting processing unit 14 may be configured to be able to set an upper limit for each type of moving object used by the user.

[0043] The setting processing unit 14 can also be configured to set a moving distance and a moving time that the user can exercise by walking without using a moving object, as the moving distance and the moving time by the moving object. In this case, the setting processing unit 14 may set the upper limit of the user's exercise by directly replacing it with the upper limit of the user's movement by the moving object, or by converting it using a predetermined conversion formula.

[0044] The destination proposal processing unit 15, together with the storage unit 16 and the display unit 18, constitutes the next destination proposal unit. The destination proposal unit proposes destinations for travel by mobile object to the user so as not to exceed the above-mentioned set upper limit. Since it is required not to exceed the set upper limit, it is preferable that the destination proposal unit also obtains the user's current location from the information acquisition processing unit 11 or directly from the location information acquisition unit 19.

[0045] For example, the destination proposal processing unit 15 reads map data pre-stored in the memory unit 16 based on the current location, reads the set upper limit, and determines a proposed destination based on the current location and the upper limit. Then, the destination proposal processing unit 15 may display the destination on the map indicated by the map data on the display unit 18.

[0046] The suggested destination may be, for example, a place suitable for walking, such as a park or a promenade, or a place where people can interact, such as a senior citizen's home, an entertainment facility, or a facility where an event is held. In any case, the suggested more specific destination may be the entrance of the facility, the closest point to the current position in the facility, or a point in the facility where the mobile object can be parked.

[0047] In this way, the destination proposal processing unit 15 can present, as destinations, facilities that can be reached within an upper limit of, for example, 30 minutes from a current location such as a home. In particular, the proposed destinations should be facilities that are easy to stop by, such as parks, or facilities that the user would like to stop by. In addition, the destination proposal processing unit 15 may obtain the user's preferences by user specification or a machine learning learning model, and determine the genre of the proposed destination or the facility of the proposed destination based on the user's preferences.

[0048] The destination proposal processing unit 15 may also propose not only the destination but also the type of moving object. The destination proposal processing unit 15 may also obtain weather forecast information predicting the current weather or the weather from the current weather to the upper limit from an external server device via the communication unit 20, and change the destination or the destination and the type of moving object according to the obtained weather.

[0049] The destination suggestion processing unit 15 may also suggest a destination by presenting multiple candidate destinations. This allows the user to select one destination from the multiple proposed destinations based on the weather, the user's physical condition, mood, and the like, and travel to that destination. Thus, by including the destination suggestion processing unit 15, the exercise suggestion device 1 can stop the user from staying confined or withdrawn into the house and encourage the user to go out.

[0050] The destination proposal processing unit 15 can also vary the proposed destination based on the movement information or exercise amount history regarding the movement by the moving body. The destination proposal processing unit 15 can also vary the proposed destination based on the movement information or exercise amount history regarding the movement by the moving body and the exercise amount history regarding the exercise without using the moving body. In these examples, the proposed destination is varied by referring to the past history. This makes it possible to determine the proposed destination based on the user's past behavioral patterns.

[0051] Varying the proposed destinations may mean varying the type of facility, such as a park or an entertainment facility. However, the destination proposal processing unit 15 may vary the upper limit for searching for destinations depending on the history, for example, by varying a coefficient to be added to or multiplied with the set upper limit. In either example, the destination proposal processing unit 15 may determine the proposed destinations using a learning model obtained by machine learning.

[0052] Then, the suggestion processing unit 13 may suggest to the user to exercise without using the moving body after the moving body arrives at the destination as the arrival point. In this way, the exercise suggestion device 1 can recommend to the user exercise such as moderate walking while out, that is, to resolve lack of exercise.

[0053] Therefore, by equipping the exercise suggestion device 1 with the destination suggestion processing unit 15, it is possible to make such two-stage suggestions, encouraging users who tend not to go out to do so, preventing them from becoming shut-ins or withdrawn and encouraging them to change their mood while also resolving lack of exercise, in other words, supporting or encouraging them to go out and exercise.

[0054] Furthermore, the control unit 10 of the exercise suggestion device 1 may store in the storage unit 16 a history of movement on a moving object such as a senior car, as well as a history of exercise not using a moving object. This allows the user to view this history on the display unit 18 or an audio output unit (not shown) by operating the operation unit 17. Furthermore, the user can view this history while moving on a moving object or while exercising without using a moving object, thereby grasping the amount of exercise he or she has performed in real time.

[0055] Furthermore, when storing the history, even if neither the determination processing unit 12 nor the proposal processing unit 13 performs processing using the amount of exercise, the control unit 10 may calculate the amount of exercise and store the amount of exercise in the storage unit 16. The amount of exercise calculated and stored may be, for example, the amount of exercise for a certain period of time or for at least one of continuous movement with a moving object and movement without a moving object.

[0056] In addition, the proposal of exercise by the decision processing unit 12 and the proposal processing unit 13, etc., and the proposal of a destination by the destination proposal processing unit 15 can also be executed based on the history thus accumulated in the storage unit 16. For example, the destination proposal processing unit 15 can propose a destination when the history of movement by a moving object for the user indicates that the user has not gone out for a predetermined period of time. In addition, the proposal processing unit 13 can propose exercise after movement by a moving object when the history of exercise without a moving object for the user indicates that the amount of exercise for a predetermined period of time is insufficient, and conversely, not propose exercise after movement by a moving object when the amount of exercise is sufficient or excessive.

[0057] Next, an example of an exercise suggestion process executed by the exercise suggestion device 1 will be described with reference to Figs. 2 to 4. Fig. 2 is a flow diagram for explaining this example of the exercise suggestion process. Fig. 3 is a schematic diagram showing an example of an environment in which the exercise suggestion device 1 is used. Fig. 4 is a schematic diagram showing an example of a suggested image displayed on the exercise suggestion device 1.

[0058] Here, an example will be described in which the exercise suggestion device 1 is used in an environment as shown in Fig. 3. First, the destination suggestion processing unit 15 suggests one or more destinations based on a set upper limit of movement and the current location of the user U (step S1). The current location of the user U at this point is assumed to be the home shown in Fig. 3 as the starting point.

[0059] If this suggestion is followed, the user U will select a destination from the operation unit 17. If only one destination is proposed, this selection means approval of the proposed destination. The control unit 10 determines whether a destination has been selected by the user U based on the operation on the operation unit 17 (step S2), and if a selection has been made (YES), sets the destination and starts guidance to the destination (step S3). The following explanation will be given on the assumption that the information acquisition processing unit 11 is obtaining location information from the location information acquisition unit 19 during guidance.

[0060] As shown in Fig. 3, the user U sits in the senior car M and heads to the destination. At this time, the exercise suggestion device 1 can be attached to the senior car M so that the user U can easily see. In addition, the exercise suggestion device 1 displays the current position and the route to the destination on a map even during the movement, and continues to guide the user to the destination.

[0061] The information acquisition processing unit 11 determines whether or not the destination has been reached based on the location information from the location information acquisition unit 19 (step S4), waits for arrival (if the result is YES), acquires movement information, and passes the movement information to the decision processing unit 12. The decision processing unit 12 determines the predetermined time based on the movement information, and passes the predetermined time to the proposal processing unit 13 (step S5).

[0062] The suggestion processing unit 13 suggests to the user U to exercise without using the senior car M for a predetermined time or more from the current time, which is the time of arrival at the destination (step S6). As a suggestion method, for example, it is preferable to display a suggestion image 18a as a pop-up image or the like so as not to overlap with the guide image 18b or to overlap with it, as in the UI image shown in FIG. 4 on the display unit 18.

[0063] Here, the proposed image 18a is an example including a sentence such as "You have arrived at the destination. Since you are here, let's walk to the nearby park P (it takes about 10 minutes)." However, the contents of the proposal are not limited to this. For example, three destinations, namely, point A, point B, and park P shown in FIG. 3, may be proposed as destinations, or only two of them may be proposed. Here, when the predetermined time is determined to be, for example, 9 minutes, walking to park P is proposed among points A, B, and park P, which take 8 minutes, 6 minutes, and 10 minutes, respectively. In addition, the guidance image 18b can display the route 10d to park P and a guidance start button 18e together with the current position 18c of the user U. For reference in the second embodiment, the example of FIG. 4 shows an example in which the exercise proposal device 1 is equipped with a camera 21.

[0064] In this state, the control unit 10 determines whether the user U has accepted the proposal based on whether the guidance start button 18e has been selected (step S7), and performs control to start guidance to the park P if the guidance start button 18e has been selected (step S8). After that, the control unit 10 determines whether the user has arrived at the park P, which is the destination for exercise, based on the position information (step S9), and ends the process when the user has arrived. Also, if the result in step S7 is NO, the control unit 10 ends the process.

[0065] The above describes the embodiment 1. According to the exercise suggestion device 1 according to the embodiment, after moving on a moving object, that is, while out and about, it is possible to suggest to the user of the moving object an exercise of an appropriate duration, taking into consideration the amount of exercise required for the movement and fatigue due to the movement.

[0066] In addition, in this embodiment, the age of the target user is not important, but this embodiment is particularly useful for users who need frailty measures, and can prevent such users from becoming isolated and developing various illnesses such as depression. The exercise suggestions made in this embodiment are suggestions that can solve the problems of lack of exercise, reduced opportunities to interact with others, and reduced time spent outside. For the same reason, this embodiment is particularly useful for senior users, such as users who feel reluctant to walk independently, users who are lacking in exercise, users who feel guilty about moving around in a moving body such as a senior car, and users who want to drive themselves even after returning their license. In this way, this embodiment can be said to have a health promotion effect, especially for seniors. In addition, in this embodiment, the suggestion of moving to a public facility as an exercise suggestion also leads to promotion of use of the public facility.

[0067] In addition, as described above, the exercise suggestion device 1 can be configured to suggest destinations for travel using a moving object, thereby making suggestions that can resolve the user's decrease in frequency of going out. Thus, with this configuration, the exercise suggestion device 1 can encourage users who tend not to go out much to go out, prevent them from staying indoors or staying at home, encourage them to change their mood, and resolve lack of exercise, that is, support or encourage going out and exercise. In this way, with this configuration, the exercise suggestion device 1 can obtain the health benefits of going out itself, and the effect of resolving lack of exercise by suggesting an appropriate amount of exercise while going out, taking into account fatigue caused by travel, and as a result, can obtain a significant health promotion effect. In addition, in this embodiment, by proposing travel with a public facility as the destination as a proposal for travel using a moving object, it also leads to promotion of use of public facilities.

[0068] In addition, in this embodiment, by accumulating history, it is possible to accumulate the movement experience as a history of exercise data, even for a short movement or a short walk, regarding movement by a moving object or exercise not using a moving object. This allows the user to check the history, feel supported, and have a sense of accomplishment by having gone out.

[0069] <Embodiment 2> The exercise suggestion device according to the second embodiment will be described with reference to Fig. 5 and Fig. 6, focusing on the differences from the first embodiment, but the various examples described in the first embodiment can also be applied. Fig. 5 is a block diagram showing a configuration example of an exercise suggestion system including the exercise suggestion device according to the second embodiment.

[0070] 5, the exercise suggestion device 1a according to the present embodiment includes a control unit 10a including an information acquisition processing unit 11a and a decision processing unit 12a, instead of the control unit 10 including the information acquisition processing unit 11 and the decision processing unit 12 in the exercise suggestion device 1. Furthermore, the exercise suggestion device 1a is connected to a biometric information acquisition device 3, and together with the biometric information acquisition device 3, constitutes an exercise suggestion system.

[0071] The biometric information acquisition device 3 is a device that acquires biometric information of a user. The biometric information acquisition device 3 may include a control unit 30 that controls the entire device, a sensor unit 31, and a communication unit 32. The sensor unit 31 includes one or more sensors that acquire biometric information of the user. The sensor included in the sensor unit 31 detects biometric information that can determine or estimate the user's fatigue level from the detection result or a change over time in the detection result. Such biometric information may include one or more of various information such as pulse rate, body temperature, respiratory rate, brain waves, and cerebral blood flow. The biometric information may also be referred to as vital information.

[0072] The communication unit 32 communicates with an external device such as the exercise suggestion device 1a. The communication unit 32 may be, for example, a communication unit that communicates in accordance with a short-range wireless communication standard such as Bluetooth LE, or a communication unit that communicates in accordance with a wireless communication standard such as WiFi.

[0073] The control unit 30 instructs the sensor unit 31 to detect bio-information in accordance with instructions received from the exercise suggestion device 1a via the communication unit 32, or independently, and obtains the detection results and transmits them to the exercise suggestion device 1a via the communication unit 32.

[0074] The bioinformation acquisition device 3 may be, for example, a wearable device such as a smart watch or an in-ear wearable device. However, the bioinformation acquisition device 3 may also be a non-wearable device equipped with a camera to detect bioinformation. The in-ear wearable device may refer to a device that is worn on the ear and can detect cerebral blood flow rate, etc., using an optical sensor, and can also detect the standing state of the user by further including an acceleration sensor. The bioinformation acquisition device 3 may also be incorporated into the exercise suggestion device 1a, in which case a smart device such as a smart watch may be used as the exercise suggestion device 1a.

[0075] The information processing acquisition unit 11a acquires movement information in the same manner as the information processing acquisition unit 11. Furthermore, the information acquisition processing unit 11a also acquires biometric information of the user acquired by the biometric information acquisition device 3 via the communication unit 20. The information processing acquisition unit 11a can also accumulate the acquired biometric information in the storage unit 16 as history.

[0076] The information processing acquisition unit 11a acquires biometric information acquired by the biometric information acquisition device 3 at the start time of the movement of the moving body toward the destination and at the arrival time after the movement, calculates the difference between them, and passes it to the decision processing unit 12a. Note that the difference in biometric information before and after the movement can also be calculated by the biometric information acquisition device 3 and acquired by the information processing acquisition unit 11a.

[0077] The determination processing unit 12a determines the predetermined time based on the movement information or the movement information and the driving status, and information indicating the difference in the biological information before and after the movement to the destination by the moving object. The determination processing unit 12a may calculate the amount of exercise required for the movement based on the movement information or the movement information and the driving status, and information indicating the difference, and determine the predetermined time based on the calculated amount of exercise. For example, when the pulse rate after the user's movement shows an increase of a predetermined value or more compared to the pulse rate before the user's movement, the determination processing unit 12a calculates that the exercise intensity of the user due to the movement is high and the pulse value has increased accordingly, and therefore the amount of exercise due to the user's movement is high. The amount of exercise of the user may be calculated in several stages, such as exercise level 0 to 3. The determination processing unit 12a further determines that the higher the amount of exercise or the level of exercise due to the user's movement, the shorter the predetermined time of the exercise proposed after the movement. The determination processing unit 12a may accumulate the calculated amount of exercise in the storage unit 16 as a history.

[0078] The suggestion processor 13 suggests to the user to exercise for the predetermined time or more. The difference in the biometric information indicates the degree of physical burden on the user caused by the movement on the moving object, that is, the degree of fatigue. Therefore, the suggestion processor 13 can suggest to the user a predetermined time that will provide an appropriate amount of exercise, taking into consideration not only the movement information but also the degree of fatigue determined from the change in the biometric information before and after the movement on the moving object.

[0079] In addition, in the present embodiment, the suggestion processing unit 13 may vary the content of the suggested exercise based on the history of movement information, etc., but instead of or in addition to this, the content of the suggested exercise may also be varied based on the history of bio-information.

[0080] In this embodiment, the exercise suggestion device 1a may also include the destination suggestion processing unit 15. In the destination suggestion processing unit 15 in this embodiment, the suggested destination may be changed based on the history of travel information or the like, but instead of or in addition to this, the suggested destination may be changed based on the history of biological information.

[0081] Next, an example of the exercise suggestion process executed by the exercise suggestion device 1a will be described with reference to Fig. 6. Fig. 6 is a flow diagram for explaining this example of the exercise suggestion process.

[0082] Here again, an example will be described in which the exercise suggestion device 1a is used in the environment shown in Fig. 3. First, similar to steps S1 to S3 in Fig. 2, the exercise suggestion device 1a suggests a destination using the senior car M, and starts guidance to the destination if the suggestion is accepted (steps S11 to S13). The following description will be given on the assumption that the information acquisition processing unit 11a is obtaining position information from the position information acquisition unit 19 during guidance.

[0083] The information acquisition processing unit 11a starts acquiring biometric information by requesting the biometric information acquisition device 3 to acquire biometric information via the communication unit 20 at the start of guidance, and starts acquiring movement information by storing the position information acquired by the position information acquisition unit 19 in the storage unit 16 (step S14). The information acquisition processing unit 11a may acquire, for example, an image of the user's facial expression captured by the camera 21 shown in Fig. 4 as biometric information.

[0084] Next, the information acquisition processing unit 11a determines whether or not the destination has been reached based on the location information from the location information acquisition unit 19 (step S15). The information acquisition processing unit 11a waits for arrival (if YES in step S15), and ends acquisition of biometric information by requesting the biometric information acquisition device 3 to stop acquisition, and ends acquisition of movement information by stopping storage of the location information acquired by the location information acquisition unit 19 (step S16).

[0085] The information acquisition processing unit 11a calculates movement information from the difference between the position information acquired in step S14 and step S16, calculates the difference between the biometric information acquired in step S14 and step S16, and passes the information to the decision processing unit 12a (step S17). When an image of the user's facial expression is obtained by the camera 21 in steps S14 to S16, the information acquisition processing unit 11a may analyze a change in facial expression as a difference in the biometric information, and may digitize the change as a change in fatigue level, and may use the change as the difference or include it as one piece of information on the difference.

[0086] The determination processing unit 12a determines the predetermined time based on the difference in the bioinformation and the movement information, and passes the predetermined time to the proposal processing unit 13 (step S18). Next, similar to step S6, the proposal processing unit 13 proposes to the user U to exercise without using the senior car M for a predetermined time or more from the current time, which is the time of arrival at the destination (step S19). However, the proposal image 18a in FIG. 4 may also include content indicating the user's fatigue level. After that, the exercise proposal device 1a performs the same processes as steps S7 to S9 (steps S20 to S22).

[0087] The above describes the embodiment 2. As described above, in addition to the effects of the embodiment 1, the embodiment can suggest appropriate exercises based on changes in the user's biological information before and after movement on a moving object.

[0088] In addition, the exercise suggestion device 1a according to the present embodiment is for suggesting exercise to a person who is not getting enough exercise, but it can also be applied to a case where a person who is exercising too much or a person with a disease such as heart disease is suggested to suppress exercise. In this case, the exercise suggestion device 1a may suggest, for example, "It seems that you are very tired from moving, so let's limit your walking to about 5 minutes today" to suppress exercise when fatigue due to movement is severe based on a change in the user's biological information before and after moving on a moving object. In particular, the suggestion processing unit 13 may suggest exercising for a predetermined time or more but less than a predetermined time that is longer than the predetermined time, instead of suggesting exercising for a predetermined time or more. Also, even when suppressing exercise in this way, a history of quantified exercise amount may be accumulated, and exercise suggestions may be made based on this history.

[0089] <Embodiment 3> The exercise suggestion device according to the third embodiment will be described with reference to Figs. 7 to 9, focusing on the differences from the first embodiment, but the various examples described in the first and second embodiments can also be applied. Fig. 7 is a block diagram showing a configuration example of the exercise suggestion device according to the third embodiment.

[0090] 7, exercise suggestion device 1b according to the present embodiment includes a control unit 10b including an information acquisition processing unit 11b and a decision processing unit 12b, instead of the control unit 10 including the information acquisition processing unit 11 and the decision processing unit 12 in exercise suggestion device 1. Furthermore, exercise suggestion device 1b includes an imaging unit 22 such as a camera.

[0091] The exercise suggestion device 1b includes an event information acquisition unit that acquires event information. Here, the event information is information indicating an event that occurred during the movement of the user's moving body. Examples of events include, but are not limited to, conversations with other people such as neighbors, meeting a dog, meeting a cat, meeting a rare animal, discovering a plant such as a flower, discovering something beautiful, and using stairs or a slope. In addition, the event information can be regarded as a part of the information indicating the driving situation described above.

[0092] The event information acquisition unit can be exemplified by, for example, the imaging unit 22 and the information acquisition processing unit 11b. The imaging unit 22 captures an image while the moving object is moving. The information acquisition processing unit 11b detects predetermined events as described above by detecting predetermined features such as the user's facial expression, the face of the user's acquaintance, a dog, a cat, a flower, and a staircase from the image captured by the imaging unit 22, and passes the event information to the decision processing unit 12b. The information processing acquisition unit 11b can also accumulate the detected event information in the storage unit 16 as a history.

[0093] The imaging unit 22 can be a camera provided on the rear side opposite to the camera 21 shown in FIG. 4. For example, the exercise suggestion device 1 is installed on the moving body so that this camera faces forward of the moving body, and an event occurring in front of the moving body can be captured and the event can be detected from the captured image. However, in an example in which the imaging unit 22 detects an event by a change in facial expression, the imaging unit 22 may include the camera 21 provided on the front side. As an example of detecting an event from facial expression, for example, an encounter with a person or an animal can be detected by detecting the movement of the line of sight. Alternatively, a conversation with another person can be detected by detecting the movement of the mouth. Alternatively, a smell of the scent of trees or plants can be detected by detecting the flaring of the nose or sneezing.

[0094] Furthermore, the event information acquisition unit may include, for example, a voice input unit (not shown) instead of or in addition to the imaging unit 22. In this case, the information acquisition processing unit 11b may detect predetermined events as described above by detecting predetermined features such as a conversation with an acquaintance, a dog's bark, or a cheer when a flower is found from the voice acquired by the voice input unit, and may pass the event information to the determination processing unit 12b.

[0095] Then, the determination processing unit 12b determines the predetermined time based on the movement information and the event information. Prior to determining the predetermined time, the determination processing unit 12b may quantify the event information by, for example, ranking events from events that give the user a sense of elation to events that give the user a sense of discomfort, and calculating the sum of all events that occurred during the movement. In addition, the determination processing unit 12b may calculate the amount of exercise from the movement information, as exemplified for the determination processing unit 12.

[0096] The decision processing unit 12b may determine the predetermined time based on the rank of the event and the movement information, or based on the rank of the event and the amount of exercise. The decision processing unit 12b may determine the predetermined time to be longer as the sum of the ranks of the events is larger, that is, as the number of events that give the user a sense of elation is larger. This is because when the user feels elated, the user is more likely to accept the recommendation to exercise for a longer period of time and exercise because he or she feels good.

[0097] The suggestion processor 13 suggests to the user to exercise without using the moving object for a period of time equal to or longer than the predetermined period determined by the decision processor 12b. The above-mentioned event information can be considered to indicate the degree of excitement of the user due to the movement on the moving object. Therefore, the content of the suggestion here can be a suggestion for an appropriate amount of exercise that further considers not only the movement information but also the degree of excitement of the user due to the movement on the moving object.

[0098] In addition, in the present embodiment, the suggestion processing unit 13 may vary the content of the suggested exercise based on the history of movement information, etc., but instead of or in addition to that, the content of the suggested exercise may also be varied based on the history of event information.

[0099] In this embodiment, the exercise suggestion device 1b can also include the destination suggestion processing unit 15. In the destination suggestion processing unit 15 in this embodiment, the suggested destinations may be changed based on the history of travel information or the like, but instead of or in addition to this, the suggested destinations may be changed based on the history of event information.

[0100] Next, an example of the exercise suggestion process executed by the exercise suggestion device 1b according to the present embodiment will be described with reference to Fig. 8 and Fig. 9. Fig. 8 is a flow diagram for explaining this example of the exercise suggestion process. Fig. 9 is a schematic diagram showing an example of the location of an event detected by the exercise suggestion process in an example of an environment in which the exercise suggestion device 1b is used.

[0101] Here, an example will be described in which the exercise suggestion device 1 is used in an environment as shown in Fig. 9. Fig. 9 shows an example in the same environment as Fig. 3. First, the exercise suggestion device 1 suggests a destination using the senior car M, and starts guidance to the destination if the suggestion is accepted, similar to steps S1 to S3 in Fig. 2 (steps S31 to S33). The following description will be given on the assumption that the information acquisition processing unit 11b is obtaining position information from the position information acquisition unit 19 during guidance.

[0102] The information acquisition processing unit 11b starts acquiring event information by requesting the imaging unit 22 to capture an image at the start of the guidance, and also starts acquiring movement information by storing the location information acquired by the location information acquisition unit 19 in the memory unit 16 (step S34).

[0103] Next, the information acquisition processing unit 11b determines whether or not the destination has been reached based on the location information from the location information acquisition unit 19 (step S35). The information acquisition processing unit 11b waits for arrival (if YES in step S35), and ends acquisition of the event information by requesting the imaging unit 22 to stop imaging, and ends acquisition of the movement information by stopping storage of the location information acquired by the location information acquisition unit 19 (step S36).

[0104] The information acquisition processing unit 11b calculates movement information from the difference between the position information acquired in step S34 and step S36, and passes the movement information to the determination processing unit 12b (step S37). During steps S34 to S36, the information acquisition processing unit 11b detects events from the acquired images, and accumulates event information about the detected events in the storage unit 16.

[0105] For example, if events A, B, C, and D occur while user U is traveling to a destination in senior car M, event information about those events is stored in storage unit 16. For example, event A may be a conversation with a neighbor, event B may be using the stairs, event C may be meeting a dog, and event D may be discovering a plant such as a flower, and information about each of those events may be stored, and the location and time of those events may also be included in the event information.

[0106] The determination processing unit 12b reads out the event information from the storage unit 16, quantifies it, determines the predetermined time based on the calculated movement information and the event information read out from the storage unit 16, and passes the predetermined time to the proposal processing unit 13 (step S38). For example, when the above-mentioned events A to D occur, the event B is an event that gives a feeling of fatigue, while the events A, C, and D are events that give a feeling of elation to the user. In this case, for example, if the rank is calculated by giving a rank of -1 to the event that gives a feeling of fatigue and a rank of +1 to the event that gives a feeling of elation, the rank will be +2. Therefore, the determination processing unit 12b may calculate the predetermined time to be longer by +2.

[0107] Next, similarly to step S6, the suggestion processing unit 13 suggests to the user U to exercise without using the senior car M for a predetermined time or more from the current time, which is the time of arrival at the destination (step S39). After that, the exercise suggestion device 1b performs the same processes as steps S7 to S9 (steps S40 to S42).

[0108] However, in step S39, the proposed image 18a in Fig. 4 may also include content indicating an event that occurred so that the user can recall the sense of elation. By storing event information together with at least one of time information indicating the date and time and location information, when such content is displayed, the event can be displayed on the map with at least one of text and illustration, making it easier for the user to view. For example, the content of the event, such as a conversation with a neighbor at point a, using the stairs at point b, meeting a dog at point c, and finding a plant such as a flower at point d, at around what time on what date, can be displayed on the map in an easy-to-understand manner.

[0109] The above describes the embodiment 3. As described above, in addition to the effects of the embodiment 1 or 2, the embodiment can suggest appropriate exercises based on events experienced by the user while moving on a moving object.

[0110] (Alternative examples, etc.) 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 the 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 a communication medium. By way of example and not limitation, the transitory computer-readable medium or the communication medium includes electrical, optical, acoustic, or other forms of propagated signals.

[0111] The present disclosure is not limited to the above-mentioned embodiment, and can be appropriately modified without departing from the spirit of the present disclosure. For example, the exercise suggestion device of the above-mentioned various examples may be configured as a system in which some of its functions are distributed among multiple devices. For example, the exercise suggestion device may include an information processing device such as a smartphone or a smartwatch owned by a user, and a server device connected to the information processing device via a network and making exercise suggestions.

[0112] This disclosure includes matters that contribute to the realization of the SDGs' goal of "creating sustainable urban and urban areas" and contributing to the safety and security of public facilities. [Explanation of symbols]

[0113] 1, 1a, 1b motion suggestion device 3 Biometric information acquisition device 10, 10a, 10b, 30 Control unit 11, 11a, 11b Information acquisition processing unit 12, 12a, 12b Decision Processing Unit 13 Proposal Processing Section 14 Setting processing section 15 Destination suggestion processing unit 16 Memory section 17 Control section 18 Display 19 Location information acquisition section 20, 32 Communications Department 21 Camera 22 Imaging unit 31 Sensor section M Mobile object U User

Claims

1. A determination unit that determines the predetermined time based on travel information indicating at least one of a travel distance and a travel time to a destination by a mobile object boarded by a user; A suggestion unit that suggests to the user to exercise for the predetermined time or more; An exercise suggestion device comprising:

2. a destination suggestion unit that suggests to the user destinations to be reached by the moving object so that at least one of a moving distance and a moving time of the user by the moving object does not exceed an upper limit set for the destination, The suggestion unit suggests to the user to exercise without using the moving body after the moving body arrives at the destination as the arrival point. The exercise suggestion device according to claim 1 .

3. A biometric information acquisition unit for acquiring biometric information of the user is further provided, The determination unit determines the predetermined time based on the movement information and information indicating a difference in biological information of the user before and after the movement to the destination by the moving object. The exercise suggestion device according to claim 1 .

4. An event information acquisition unit that acquires event information indicating an event that has occurred while the user is moving by the moving object, The determination unit determines the predetermined time based on the movement information and the event information. The exercise suggestion device according to claim 1 .

5. The computer determining a predetermined time based on travel information indicating at least one of a travel distance and a travel time to a destination by a mobile object boarded by the user; Suggesting the user to exercise for at least the predetermined time. Exercise suggestion method.

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