JP7391782B2 - Mobile terminal, information processing method, and information processing program - Google Patents

Description

The present invention relates to a mobile terminal, an information processing method, and an information processing program.

Techniques have been proposed for notifying the risk of developing dementia based on exercise habits and the like (see, for example, Patent Documents 1 and 2).

Japanese Patent Application Publication No. 2018-191722 International Publication No. 2018/100797

With conventional technology, users are notified of their current exercise habits and the risk of developing dementia determined based on the exercise habits, but they are not informed of the extent to which they should improve their exercise habits to reduce such risks. The information was not displayed in an easy-to-understand manner. Therefore, it has been difficult for users to understand how much they should improve their exercise habits in order to reduce the risk of developing dementia to the extent desired by the user.

One aspect of the disclosed technology is a mobile terminal, an information processing method, and an information processing program that can easily convey to a user the improvement in exercise habits required to reduce the risk of suffering from dementia to the extent desired by the user. The challenge is to provide the following.

One aspect of the disclosed technology is exemplified by the following mobile terminal. The mobile terminal includes a touch screen and a processor that controls the touch screen. Then, the processor of the mobile terminal calculates the risk corresponding to the acquired user's step count information and the user's health information stored in advance, according to the correspondence relationship between the step count information, health information, and the risk of contracting dementia. An index image indicating the risk of contracting dementia is displayed on a touch screen with a slider bar placed at a position corresponding to the calculated risk and information on the number of steps taken by the user, and the index image is moved in response to touch operations on the touch screen. Then, step count information corresponding to the risk of suffering from dementia and the user's health information indicated by the position of the moved index image is calculated according to the correspondence relationship, and the calculated step count information is displayed on the touch screen.

The disclosed technology can convey to the user in an easy-to-understand manner the improvement in exercise habits required to reduce the risk of suffering from dementia to the extent desired by the user.

FIG. 1 is a diagram illustrating an example of the appearance of a smartphone according to an embodiment. FIG. 2 is a diagram illustrating an example of the hardware configuration of the smartphone according to the embodiment. FIG. 3 is a diagram illustrating an example of processing blocks of the smartphone according to the embodiment. FIG. 4 is a first diagram illustrating a series of reception screens displayed on the display by the registration unit in the embodiment. FIG. 5 is a second diagram illustrating a series of reception screens displayed on the display by the registration unit in the embodiment. FIG. 6 is a third diagram illustrating a series of reception screens displayed on the display by the registration unit in the embodiment. FIG. 7 is a fourth diagram illustrating a series of reception screens displayed on the display by the registration unit in the embodiment. FIG. 8 is a diagram showing an example of a user information table stored in the user information database in the embodiment. FIG. 9 is a diagram illustrating an example of a time-based step count management table stored in the step count database in the embodiment. FIG. 10 is a diagram illustrating an example of a daily step count management table stored in the step count database in the embodiment. FIG. 11 is a diagram showing an example of a risk display screen displayed by the risk display section in the embodiment. FIG. 12 is a first diagram illustrating a state in which the slider is moved on the risk display screen in the embodiment. FIG. 13 is a second diagram illustrating a state in which the slider is moved on the risk display screen in the embodiment. FIG. 14 is a diagram illustrating an example of a processing flow of the smartphone according to the embodiment.

<Embodiment>
The configuration of the embodiment shown below is an example, and the disclosed technology is not limited to the configuration of the embodiment. The mobile terminal according to the embodiment includes, for example, a touch screen and a processor that controls the touch screen. Then, the processor of the mobile terminal executes, for example, the following process.
- Calculate the risk corresponding to the acquired user's step count information and the user's health information stored in advance, according to the correspondence between the step count information, health information, and the risk of suffering from dementia.
- A slider bar arranged at a position corresponding to the calculated risk of an index image indicating the risk of contracting dementia and information on the number of steps taken by the user are displayed on the touch screen.
- Move the index image according to touch operations on the touch screen.
- Step count information corresponding to the risk of suffering from dementia and the user's health information indicated by the position of the moved index image is calculated according to the above-described correspondence relationship.
・Display the calculated step count information on the touch screen.

The step count information may be, for example, the average number of steps per day during a predetermined period or the cumulative number of steps during a predetermined period. Health information can include the user's age, gender, medical history, and exercise habits. The risk of developing dementia generally corresponds to such information on the number of steps taken and health information. According to such a correspondence relationship, the processor of the mobile terminal can indicate the risk corresponding to the acquired user's step count information and the user's health information stored in advance by the position of the index image placed on the slider bar. Therefore, this mobile terminal can intuitively convey the risk of developing dementia to the user based on the position of the index image.

Then, the processor of the mobile terminal can calculate step count information corresponding to the risk indicated by the index image moved in response to the touch operation, according to the above-described correspondence, and display it on the touch screen. Therefore, this mobile terminal can accept the designation of the degree of risk reduction desired by the user through an intuitive operation of moving the index image by touch operation. Through such intuitive operations, this mobile terminal displays the number of steps required to reduce the risk of developing dementia by displaying step count information that corresponds to the risk of developing dementia that has been reduced to the degree desired by the user. Improvements in exercise habits can be communicated to the user. Further, since step count information, exemplified by the average number of steps per day, is specific and easy for the user to understand, it is thought that it is likely to lead to improvement of exercise habits.

Furthermore, the processor of the mobile terminal may display on the index image a numerical value indicating the risk indicated by the position of the index image. By having such features, the present mobile terminal can convey to the user the risk of developing dementia as a specific numerical value.

Furthermore, step count information that reduces the risk by a predetermined value from the risk indicated by the position of the index image may be calculated, and the step count information that reduces the calculated risk may be displayed on the touch screen together with the predetermined value. By having such features, the present mobile terminal can convey specific information to the user to reduce the risk of contracting dementia.

The techniques described above can also be understood as an information processing method and an information processing program.

Hereinafter, an embodiment in which the above mobile terminal is applied to a smartphone will be further described with reference to the drawings. FIG. 1 is a diagram illustrating an example of the appearance of a smartphone according to an embodiment. FIG. 1 illustrates the appearance of the smartphone 100 seen from one side (the appearance from the front side). Smartphone 100 has a plate-shaped housing 110. In FIG. 1, it is assumed that the upper side of the paper is the upper side of the casing 110, and the lower side of the paper is the lower side of the casing 110. Hereinafter, in this specification, the vertical direction of the housing 110 is also referred to as the Y direction, and the width direction of the housing 110 that is orthogonal to the Y direction is also referred to as the X direction.

Smartphone 100 is a portable information processing device. A speaker 111, a microphone 112, a display 113, and a touch panel 114 are provided on the front surface of the housing 110. Touch panel 114 is provided to overlap display 113. It is preferable that the touch panel 114 is provided so as to cover the entire surface of the display 113. The speaker 111 is provided, for example, above the center of the display 113 in the X direction. The microphone 112 is provided, for example, below the center of the display 113 in the X direction.

FIG. 2 is a diagram illustrating an example of the hardware configuration of the smartphone according to the embodiment. The smartphone 100 includes a central processing unit (CPU) 101, a main storage section 102, an auxiliary storage section 103, a communication section 104, a speaker 111, a microphone 112, a display 113, a touch panel 114, and an acceleration sensor 115. The CPU 101, main storage section 102, auxiliary storage section 103, communication section 104, speaker 111, microphone 112, display 113, touch panel 114, and acceleration sensor 115 are interconnected by a connection bus.

The CPU 101 is also called a microprocessor unit (MPU) or a processor. The CPU 101 is not limited to a single processor, but may have a multiprocessor configuration. Further, a single CPU 101 connected through a single socket may have a multi-core configuration. At least part of the processing executed by the CPU 101 is performed by a processor other than the CPU 101, for example, a dedicated processor such as a Digital Signal Processor (DSP), a Graphics Processing Unit (GPU), a numerical calculation processor, a vector processor, or an image processing processor. You can.

Furthermore, at least part of the processing executed by the CPU 101 may be executed by an integrated circuit (IC) or other digital circuit. Furthermore, at least a portion of the CPU 101 may include an analog circuit. Integrated circuits include large scale integrated circuits (LSIs), application specific integrated circuits (ASICs), and programmable logic devices (PLDs). The PLD includes, for example, a field-programmable gate array (FPGA).

CPU 101 may be a combination of a processor and an integrated circuit. The combination is called, for example, a microcontroller unit (MCU), a system-on-a-chip (SoC), a system LSI, a chipset, or the like. In the smartphone 100, the CPU 101 loads the program stored in the auxiliary storage unit 103 into the work area of the main storage unit 102, and controls peripheral devices through execution of the program. Thereby, the smartphone 100 can perform processing that meets a predetermined purpose. The main storage unit 102 and the auxiliary storage unit 103 are recording media that can be read by the smartphone 100.

The main storage unit 102 is exemplified as a storage unit directly accessed by the CPU 101. The main storage unit 102 includes Random Access Memory (RAM) and Read Only Memory (ROM).

The auxiliary storage unit 103 stores various programs and various data on a recording medium in a readable and writable manner. The auxiliary storage unit 103 is also called an external storage device. The auxiliary storage unit 103 stores an operating system (OS), various programs, various tables, and the like. The OS includes a communication interface program that exchanges data with an external device connected via the communication unit 104. External devices include, for example, other information processing devices and external storage devices connected via a computer network or the like. Note that the auxiliary storage unit 103 may be, for example, part of a cloud system that is a group of computers on a network.

The auxiliary storage unit 103 is, for example, an erasable programmable ROM (EPROM), a solid state drive (SSD), a hard disk drive (HDD), or the like.

The communication unit 104 is, for example, an interface with a computer network that communicably connects the information processing device. The communication unit 104 communicates with an external device via a computer network.

The speaker 111 is a sound source that outputs sound. The speaker 111 outputs sounds such as the voice of the other party during a phone call using the smartphone 100 . The microphone 112 is a microphone used for telephone calls and for acquiring audio from videos.

The display 113 displays data processed by the CPU 101 and data stored in the main storage unit 102. The display 113 is, for example, a Liquid Crystal Display (LCD), a Plasma Display Panel (PDP), an Electroluminescence (EL) panel, or an organic EL panel.

The touch panel 114 detects a touch operation by a user's finger or the like. There is no limitation on the method by which the touch panel 114 detects a touch operation. Examples of the method by which the touch panel 114 detects a touch operation include a capacitance method, a resistive film method, and a surface acoustic wave method. The smartphone 100 is provided with a touch panel 114 superimposed on the display 113, so that the smartphone 100 can provide the user with an intuitive operating environment. Display 1
13 and the touch panel 114 are examples of a "touch screen".

Acceleration sensor 115 detects acceleration generated in smartphone 100. The acceleration sensor 115 is, for example, a three-axis acceleration sensor that can detect acceleration in each of the X direction, Y direction, and Z direction. Note that the acceleration sensor 115 may be one that detects acceleration in any one of the X-axis, Y-axis, and Z-axis, but a three-axis acceleration sensor is preferable in terms of improving accuracy. .

<Processing block of smartphone 100>
FIG. 3 is a diagram illustrating an example of processing blocks of the smartphone according to the embodiment. The smartphone 100 includes a registration section 11 , a step count calculation section 12 , a risk calculation section 13 , a risk display section 14 , a step count database 15 , and a user information database 16 . In addition, in the figure, the database is described as "DB". The smartphone 100 has the registration section 11, the step count calculation section 12, the risk calculation section 13, the risk display section 14, and the step count of the smartphone 100 by the CPU 101 executing a computer program executable in the main storage section 102. The database 15, the user information database 16, and other units execute processing.

The registration unit 11 accepts registration of user's health information. For example, the registration unit 11 causes the display 113 to display a reception screen for accepting registration of health information. The registration unit 11 then registers the health information input through the reception screen into the user information database 16. In this embodiment, the registration unit 11 acquires, for example, information indicating each of age, gender, past medical history, and exercise habits as health information.

4 to 7 are diagrams illustrating a series of reception screens displayed on the display by the registration unit in the embodiment. The series of input screens includes an age input screen 21 illustrated in FIG. 4, a gender selection screen 22 illustrated in FIG. 5, a medical history input screen 23 illustrated in FIG. 6, and an exercise habit input screen 24 illustrated in FIG. including.

FIG. 4 is a diagram illustrating an example of an age input screen that accepts input of age in the embodiment. The age input screen 21 includes an age input field 211 and a button 212 . The age input field 211 accepts input of age. When the registration unit 11 detects a touch operation on the button 212 with the age input in the age input field 211, the registration unit 11 registers the age input in the age input field 211 in the user information database 16 and displays it on the display 113. The screen to be displayed is changed to the gender selection screen 22.

FIG. 5 is a diagram illustrating an example of a gender selection screen that accepts gender designation in the embodiment. The gender selection screen 22 includes a radio button group 221 and a button 222 for accepting gender selection. When the registration unit 11 detects a touch operation on the button 222 while one of the radio buttons in the radio button group 221 is selected, the registration unit 11 registers the selected gender in the user information database 16 and displays it on the display 113. The screen is changed to the medical history input screen 23.

FIG. 6 is a diagram illustrating an example of a medical history input screen that accepts input of medical history in the embodiment. The medical history input screen 23 includes a medical history 1 entry field 231, a medical history 2 entry field 232, and a button 233. When the registration unit 11 detects a touch operation on the button 233 with characters input in at least one of the medical history 1 entry field 231 and the medical history 2 entry field 232, the registration unit 11 stores the input character string in the user information database 16 as a medical history. At the same time as registration, the screen displayed on the display 113 is changed to the exercise habit input screen 24.

FIG. 7 is a diagram illustrating an example of an exercise habit input screen that accepts input of exercise habits in the embodiment. The exercise habit input screen 24 includes a radio button group 241 and a button 242 for accepting the selection of whether or not the user has an exercise habit. When the registration unit 11 detects a touch operation on the button 242 while one of the radio buttons in the radio button group 241 is selected, the registration unit 11 registers the answer to the selected exercise habit in the user information database 16, and stores the health information. Complete your registration.

FIG. 8 is a diagram showing an example of a user information table stored in the user information database in the embodiment. The user information table 161 is a table that associates each item of "check item" and "input value". "Check Items" stores information indicating health information to be checked by the user on each of a series of reception screens. The "input value" stores the values input on each of the series of reception screens.

Returning to FIG. 3, the step count calculation unit 12 calculates the number of steps of the user who walks while carrying the smartphone 100 based on the acceleration detected by the acceleration sensor 115. The step count calculation unit 12 registers the calculated step count in the step count database 15.

FIG. 9 is a diagram illustrating an example of a time-based step count management table stored in the step count database in the embodiment. The hourly step count management table 151 is a table that associates each item of "time period" and "step count" with each other. “Time zone” stores information indicating the time zone. The "step count" stores the number of steps calculated by the step count calculation unit 12 in the associated "time period". In the example of FIG. 9, the step count calculation unit 12 stores the hourly step count in the hourly step count management table 151 in association with the time period. Note that although the time slots are divided into hourly sections in FIG. 9, each time slot may be less than one hour or may be longer than one hour. After storing the number of steps for one day in the hourly step count management table 151, the step count calculation unit 12 totals the stored number of steps for one day and stores the total number of steps in the daily step count management table 152.

FIG. 10 is a diagram illustrating an example of a daily step count management table stored in the step count database in the embodiment. The daily step count management table 152 is a table that associates each item of "day" and "step count". “Day” stores information indicating the date. The "step count" stores the number of steps totaled by the step count calculation unit 12 in the associated "day".

The risk calculation unit 13 calculates the risk of the user suffering from dementia based on the health information registered in the user information database 16 and the number of steps stored in the daily step count management table 152 of the step count database 15. The algorithm by which the risk calculation unit 13 calculates the risk of suffering from dementia based on health information and the number of steps is not limited, and various known algorithms can be employed. The risk calculation unit 13 may calculate, for example, based on a correspondence relationship that associates each of the health information registered in the user information database 16 with the average number of steps per day in the most recent month and the risk of developing dementia. Such a correspondence relationship can be realized using a mathematical formula or a table. Hereinafter, in this specification, such a correspondence relationship will also be referred to as a risk correspondence relationship. The average number of steps per day in the most recent month is an example of "step count information."

When using the risk correspondence relationship described above, the risk calculation unit 13 calculates the average number of steps per day in the most recent month based on the number of steps registered in the number of steps database 15. Then, the risk calculation unit 13 can calculate the risk of the user suffering from dementia, which corresponds to each of the health information registered in the user information database 16 and the calculated average number of steps, according to the risk correspondence relationship.

The risk display unit 14 displays the risk calculated by the risk calculation unit 13 on the display 11.
Display on 3. FIG. 11 is a diagram showing an example of a risk display screen displayed by the risk display section in the embodiment. The risk display screen 31 includes a slider bar 311, a step count display area 312, and an advice display area 313.

The slider bar 311 includes a slide shaft 311a and a slider 311b. The sliding axis 311a is an axis where one end indicates a 0% risk of developing dementia and the other end indicates a 100% risk of developing dementia. The slider 311b is an index indicating the risk of the user suffering from dementia by indicating one point on the slide axis 311a. As illustrated in FIG. 11, the slider 311b may display a numerical value indicating the risk of the user suffering from dementia. Slider bar 311 is an example of a "slider". The slider 311b is an example of an "index image."

The slide shaft 311a is set to a predetermined length. The position _px of the slider 311b with respect to the slide shaft 311a can be determined, for example, by the following equation (1), where b is the length of the slide shaft 311a and P is the risk of suffering from dementia. The position _px is, for example, the number of pixels from one end of the slide axis 311a (position with 0% risk). The length b of the slide shaft 311a is, for example, the number of pixels from one end (position of 0% risk) to the other end (position of 100% risk) of the slide shaft 311a.

The average number of steps per day calculated by the risk calculation unit 13 is displayed in the step count display area 312. In the step count display area 312, as illustrated in FIG. 11, the date on which the step count was calculated may be displayed as the measurement date.

For example, if there is no change in the health information registered in the user information database 16, the risk of developing dementia is considered to increase as the average number of steps in a predetermined period decreases. Furthermore, the average number of steps is considered to be an index that is easy for users to understand. Therefore, the risk display section 14 displays the risk of developing dementia as a probability (100 percent), and also displays the average number of steps in the step count display area 312.

Advice display area 313 displays advice for reducing the risk of developing dementia. The advice display area 313 displays, for example, the average number of steps per day required to reduce the current risk by 10%. Such an average number of steps can be calculated using, for example, the risk correspondence relationship explained above.

The slider 311b of the slider bar 311 is movable along the slide axis 311a in response to a touch operation. 12 and 13 are diagrams illustrating a state in which the slider is moved on the risk display screen in the embodiment. FIG. 12 illustrates a state in which the slider 311b is moved in a direction that increases the risk. Moreover, FIG. 13 illustrates a state in which the slider 311b is moved in a direction that reduces risk. Moreover, it can be said that FIG. 11 described above illustrates a state in which the slider 311b is not moved.

In FIG. 12, the slider 311b has been moved in a direction in which the risk increases from the risk "25%" illustrated in FIG. The risk display unit 14 calculates the risk P corresponding to the position _px of the slider 311b after the movement, for example, using the following equation (2).

The risk display unit 14 displays the risk of suffering from dementia calculated using equation (2) on the slider 311b. In FIG. 12, a state in which the calculated risk is "50%" is illustrated. Further, the risk display unit 14 causes the risk calculation unit 13 to calculate the average number of steps corresponding to the calculated risk.

The risk calculation unit 13 calculates, for example, the risk of developing dementia indicated by each of the health information registered in the user information database 16 and the slider 311b after the movement, according to the risk correspondence relationship explained above, and calculates the average corresponding to the risk. The number of steps can be calculated. The risk calculation unit 13 passes the calculated average number of steps to the risk display unit 14. The risk display unit 14 may display the average number of steps received from the risk calculation unit 13 in the step count display area 312.

Note that the average number of steps decreases as the slider 311b increases the risk of suffering from dementia, so the calculated average number of steps may become "0". In such a case, the risk display section 14 may restrict the slider 311b from moving in a direction where the risk increases beyond the position where the average number of steps is "0".

The risk display unit 14 may further update the advice displayed in the advice display area 313 according to the risk of suffering from dementia indicated by the moved slider 311b. As a result of such processing by the risk display section 14 and the risk calculation section 13, the risk display screen 31 is updated as illustrated in FIG. 12.

In FIG. 13, the slider 311b is moved in a direction in which the risk decreases from the risk "25%" illustrated in FIG. Even when the slider 311b is moved, the average number of steps is calculated and the risk display screen 31 is updated in the same way as when the slider 311b is moved in the direction of increasing the risk as described with reference to FIG.

<Processing flow of smartphone 100>
FIG. 14 is a diagram illustrating an example of a processing flow of the smartphone according to the embodiment. It is assumed that the number of steps taken by the user who walks while carrying the smartphone 100 is calculated by the number of steps calculation unit 12, and the calculated number of steps is stored in the number of steps database 15. An example of the processing flow of the smartphone 100 will be described below with reference to FIG. 14.

At T1, the registration unit 11 displays a series of reception screens illustrated in FIGS. 4 to 7 on the display 113, and receives registration of health information. The registration unit 11 registers the received health information in the user information database 16.

At T2, the risk calculation unit 13 refers to the step count database 15 and calculates the average number of steps per day in the most recent month.

At T3, the risk calculation unit 13 calculates the risk of developing dementia, which corresponds to the health information registered at T1 and the average number of steps calculated at T2, according to the risk correspondence relationship.

At T4, the risk display unit 14 causes the display 113 to display the risk display screen 31 including the average number of steps calculated at T2 and a slider bar 311 with a slider 311b arranged at a position corresponding to the risk calculated at T3. If the slider 311b is moved in response to the touch operation (YES at T5), the process proceeds to T6. Furthermore, if the slider 311b has not been moved (NO at T5), the process at T5 is repeated.

At T6, the risk display unit 14 acquires the risk of suffering from dementia, which is indicated by the moved slider 311b.

At T7, the risk calculation unit 13 calculates the average number of steps corresponding to the risk of suffering from dementia acquired at T6.

At T8, the risk display unit 14 causes the display 113 to display the average number of steps acquired at T7.

<Actions and effects of embodiments>
In this embodiment, the smartphone 100 calculates the risk of developing dementia according to the average number of steps calculated based on the health information registered in the user information database 16 and the number of steps calculated by the step number calculation unit 12. The smartphone 100 then displays the risk display screen 31 on the display 113 based on the calculated risk and the average number of steps. On the risk display screen 31, the risk of developing dementia is indicated by an intuitively easy-to-understand indicator, which is the position of a slider 311b on a slider bar 311. Furthermore, since the user's average number of steps is also displayed on the risk display screen 31, the smartphone 100 can intuitively inform the user of the risk of developing dementia based on the current average number of steps.

In this embodiment, when the slider 311b is moved in response to a touch operation, the smartphone 100 acquires the risk indicated by the moved slider 311b. Then, the smartphone 100 calculates the average number of steps corresponding to the acquired risk, and causes the display 113 to display the risk display screen 31 including the calculated average number of steps. For example, when the slider 311b is moved in a direction that reduces the risk of dementia, the smartphone 100 can notify the user by displaying the average number of steps that achieves such risk reduction on the risk display screen 31. . That is, the smartphone 100 can inform the user of the average number of steps required to realize the risk indicated by the slider 311b in response to the intuitive operation of moving the slider 311b.

In this embodiment, the smartphone 100 displays advice for reducing the risk of suffering from dementia in the advice display area 313. In the advice in this embodiment, the average number of steps per day to reduce the risk of developing dementia by 10% is displayed. That is, the smartphone 100 can inform the user of the average number of steps required to reduce the risk by a predetermined value (here, 10%) without moving the slider 311b.

<Modified example>
In the embodiment, the average number of steps per day in the past month was used to calculate the risk of developing dementia, but the number of steps used to calculate the risk of developing dementia is limited to this average number of steps. Not done. The number of steps may be, for example, the cumulative number of steps in the most recent month, the average number of steps per day in the most recent week, or the cumulative number of steps in the most recent month.

In the embodiment, the slider 311b is arranged above the slide shaft 311a. However, the position of the slider 311b is not limited to such a position, and may be arranged so as to overlap with the slide shaft 311a, or may be arranged below the slide shaft 311a.

In the embodiment, the average number of steps per day to reduce the risk of developing dementia by 10% is displayed in the advice display area 313, but the range of such reduction is not limited to 10%. do not have. The extent to which the risk of developing dementia is reduced may vary depending on the current risk. For example, the higher the current risk, the larger the value for reducing the risk of developing dementia may be.

The embodiments and modifications disclosed above can be combined.

<<Computer-readable recording medium>>
An information processing program that causes a computer or other machine or device (hereinafter referred to as a computer or the like) to realize any of the above functions can be recorded on a computer-readable recording medium. Then, by causing a computer or the like to read and execute the program on this recording medium, the function can be provided.

Here, a computer-readable recording medium is a recording medium that stores information such as data and programs through electrical, magnetic, optical, mechanical, or chemical action and can be read by a computer, etc. means. Examples of such recording media that are removable from computers and the like include flexible disks, magneto-optical disks, Compact Disc Read Only Memory (CD-ROM), Compact Disc-Recordable (CD-R), and Compact Disc-ReWriterable. (CD-RW), Digital Versatile Disc (DVD), Blu-ray Disc (BD), Digital Audio Tape (DAT), 8mm tape, and memory cards such as flash memory. In addition, there are hard disks, ROMs, etc. as recording media fixed to computers and the like.

100: Smartphone 101: CPU
102: Main memory section 103: Auxiliary memory section 104: Communication section 11: Registration section 110: Housing 111: Speaker 112: Microphone 113: Display 114: Touch panel 115: Acceleration sensor 12: Step count calculation section 13: Risk calculation section 14: Risk display section 15: Step count database 151: Hourly step count management table 152: Daily step count management table 16: User information database 161: User information table 21: Age input screen 22: Gender selection screen 23: Medical history input screen 24: Exercise habits Input screen 31: Risk display screen 311: Slider bar 311a: Slide axis 311b: Slider 312: Step count display area 313: Advice display area

Claims (5)

touch screen and
a processor that controls the touch screen;
The processor includes:
Calculating the risk corresponding to the acquired step count information of the user and the pre-stored health information of the user according to the correspondence relationship between the step count information, health information, and the risk of contracting dementia;
displaying on the touch screen a slider bar placed at a position corresponding to the calculated risk of an index image indicating the risk of contracting dementia and step count information of the user;
moving the index image in response to a touch operation on the touch screen;
calculating step count information corresponding to the risk of suffering from dementia and health information of the user indicated by the position of the moved index image according to the correspondence relationship;
displaying the calculated step count information on the touch screen;
Mobile device. The processor further causes a numerical value indicating a risk indicated by the position of the index image to be displayed on the index image.
The mobile terminal according to claim 1. The processor further calculates step count information that reduces the risk by a predetermined value from the risk indicated by the position of the index image, and displays the step count information that reduces the calculated risk on the touch screen together with the predetermined value.
The mobile terminal according to claim 1 or 2. An information processing device equipped with a touch screen is
Calculating the risk corresponding to the acquired step count information of the user and the pre-stored health information of the user according to the correspondence relationship between the step count information, health information, and the risk of contracting dementia;
displaying on the touch screen a slider bar placed at a position corresponding to the calculated risk of an index image indicating the risk of contracting dementia and step count information of the user;
moving the index image in response to a touch operation on the touch screen;
calculating step count information corresponding to the risk of suffering from dementia and health information of the user indicated by the position of the moved index image according to the correspondence relationship;
displaying the calculated step count information on the touch screen;
Information processing method. An information processing device equipped with a touch screen,
Calculating the risk corresponding to the acquired step count information of the user and the pre-stored health information of the user according to the correspondence relationship between the step count information, health information, and the risk of contracting dementia;
displaying on the touch screen a slider bar placed at a position corresponding to the calculated risk of an index image indicating the risk of contracting dementia and step count information of the user;
moving the index image in response to a touch operation on the touch screen;
calculating step count information corresponding to the risk of suffering from dementia and health information of the user indicated by the position of the moved index image, according to the correspondence relationship;
displaying the calculated step count information on the touch screen;
Information processing program.

Images