JP6069251B2 - Walking information complementing method and walking information management system - Google Patents

Description

  The present invention relates to a walking information complementing method and a walking information management system.

  In recent years, walking has attracted attention in a wide range of age groups, from children to the elderly, because it is easy to start from the viewpoint of health promotion. Along with this, in order to manage the number of steps as an index indicating the status of the walking effort, a pedometer or a device having a pedometer function (hereinafter referred to as a pedometer or the like) has been widely used.

  The step count data measured by using a pedometer or the like can be used not only for managing the number of steps by the user but also for various analyzes by combining with other data.

JP 2005-291890 A JP 2008-002821 A JP 2009-296097 A Japanese Patent No. 3685741

NTT Data Creative Health (http://www.creativehealth.jp/ap/a/a0000.jsp) NTT Docomo i Bodymo (https://www.nttdocomo.co.jp/service/customize/ibodymo/function/)

  However, the measurement of the number of steps using a pedometer is effective only when you carry the pedometer, etc. If you forget to have a pedometer, the data will be lost, and the number of steps you actually walked and the pedometer etc. There is a difference between the measured step count data. As a result, the accuracy of the management and analysis of the number of steps is reduced, which may result in the user's intent to continue walking.

  Therefore, by predicting the number of steps in a period when the user has forgotten to have a pedometer or the like and narrowing the difference between the actual number of steps and the measured number of steps, the accuracy of the management of the number of steps and the analysis using the number of steps is improved. The present invention has been made paying attention to the above circumstances, and its purpose is not to be measured by a pedometer or the like when an individual using a service for managing the number of steps forgets to have a pedometer or the like. However, the present invention provides a walking information complementing method and a walking information management system that estimates the number of steps actually taken by using other information that can be obtained from other than a pedometer, etc., and compensates for missing step count data. There is.

In order to achieve the above object, a first aspect of the present invention includes the following components. That is, the walking information management system associates and accumulates a user ID database storing an ID for each user, walking information including the number of steps received from a pedometer or the like via a network, and the ID for each user. Search the walking information database, the positional information database that stores the positional information received from the GPS-equipped terminal via the network and the ID for each user, the walking information database, and the positional information database. Then, search for the time when both walking information and position information exist, calculate the moving speed, moving distance, and moving time based on the moving information and the time, and the period when the calculated moving speed is substantially constant Calculate the walking speed, step length and walking rate from the moving speed, moving distance and number of steps, and the relational expression of the calculated walking speed, step length and walking rate A processing unit that calculates a movement speed and a movement time based on the position information of the user for a period in which the user moves by walking and has no walking information. The walking rate is calculated by substituting the calculated moving speed into the relational expression between the walking speed and the walking rate, and the number of steps is calculated by multiplying the calculated walking rate and the moving time.

In order to achieve the above object, a second aspect of the present invention includes the following components. That is, the walking information complementing method includes a walking information database that accumulates walking information including the number of steps received from a pedometer or the like via a network and an ID for each user, and a GPS-equipped terminal via the network. Search the location information database that stores the received location information and the ID for each user in association with each other , search for the time when both the walking information and the location information exist, and determine the movement information and the time. Calculate the walking speed, step length and walking rate from the moving speed, moving distance, and the number of steps for the period when the calculated moving speed is approximately constant based on the calculated moving speed, moving distance, and moving time. Based on the position information of the user for the period when the relational expression of the speed, the stride, and the walking rate is calculated and the user moves by walking and there is no walking information. Calculate the moving speed and moving time, substitute the calculated moving speed into the relational expression between walking speed and walking rate, calculate the walking rate, and multiply the calculated walking rate and moving time to calculate the number of steps .

  That is, according to the present invention, when an individual who uses a service for managing the number of steps forgets to have a pedometer or the like, the number of steps actually taken without being measured by the pedometer or the like, It is possible to provide a walking information complementing method and a walking information management system that are estimated by using other information that can be obtained from other than the above, and that compensate for the loss of the step count data.

FIG. 1 is a block diagram schematically showing a configuration example of a walking information management system that realizes the walking information complementing method of the first embodiment. FIG. 2 is a flowchart for explaining an example of the operation of the walking information management system of the first embodiment. FIG. 3 is a sequence diagram illustrating an example of the operation of the walking information management system according to the first embodiment. FIG. 4 is a flowchart for explaining an example of an operation when the walking information management system of the first embodiment supplements walking information. FIG. 5 is a sequence diagram illustrating an example of an operation when the walking information management system of the first embodiment supplements walking information. FIG. 6 is a block diagram schematically illustrating a configuration example of the walking information complementing method and the walking information management system according to the second embodiment. FIG. 7 is a sequence diagram illustrating an example of the operation of the walking information management system according to the second embodiment. FIG. 8 is a flowchart for explaining an example of the operation of the walking information management system of the second embodiment. FIG. 9 is a sequence diagram illustrating an example of the operation of the walking information management system according to the second embodiment. FIG. 10 is a block diagram schematically illustrating a configuration example of the walking information complementing method and the walking information management system according to the third embodiment. FIG. 11 is a flowchart for explaining an example of the operation of the walking information management system of the third embodiment. FIG. 12 is a sequence diagram illustrating an example of the operation of the walking information management system according to the third embodiment. FIG. 13 is a flowchart for explaining an example of the operation of the walking information management system of the third embodiment. FIG. 14 is a sequence diagram illustrating an example of the operation of the walking information management system according to the third embodiment.

Embodiments according to the present invention will be described below with reference to the drawings.
FIG. 1 is a block diagram schematically illustrating a configuration example of a walking information complementing method and a walking information management system according to the first embodiment.

  Hereinafter, an example of a method for complementing walking information using position information obtained from a GPS (global positioning system) service will be described.

The walk information management service user has a pedometer PM, a GPS-equipped terminal TM1, and another service use terminal TM2.
The pedometer PM is a device having a communication means (not shown) connectable to a network and a step count measuring means (not shown). The pedometer PM sends walking information to the walking information management service system 10 via the network. I will provide a. The walking information includes, for example, walking speed (m / min), step length (m), walking rate (step / min), number of steps (step), and the like.

  The GPS-equipped terminal TM1 has communication means (not shown) that can be connected to the network, acquires position information (latitude, longitude) of the GPS-equipped terminal TM1 from the GPS service system 20 via the network, and walk information For example, date and time information is provided to the management service system together with the position information. In the present embodiment, the pedometer PM and the GPS-equipped terminal TM1 are separate bodies.

  The other service utilization terminal TM2 has communication means (not shown) connectable to the network, and transmits and receives various information to the other service system 30 via the network. The GPS-equipped terminal TM1 and the other service using terminal TM2 may be separate or integrated.

  The walking information management service system 10 includes a user ID database 11, a walking information database 12, a position information database 13, a processed database 14, and a server 15.

  The user ID database 11 stores a user ID for identifying a user of the pedometer PM, and user information corresponding to the user ID, for example, an address of each database storing the user information. ing.

The walking information database 12 stores walking information received from the pedometer PM for each user.
The position information database 13 stores position information, date and time information received from the GPS-equipped terminal TM1 for each user.
The processed database 14 stores the walking information after complementing the deficiency as processed data.

  The server 15 is an information processing apparatus, for example, and includes a processing unit 16. The processing unit 16 associates the information received from the pedometer PM and the GPS-equipped terminal TM1 with each user ID and stores the information in each database, and supplements the walking information using the information stored in the database.

  The GPS service system 20 has a GPS service server 21 that acquires the position of the GPS service system 20 based on information received from the GPS-equipped terminal TM1 and supplies the position to the GPS-equipped terminal TM1.

  The other service system 30 includes a user ID database 31, a usage information database 32, and another service server 33.

  The user ID database 31 includes a user ID for identifying the user of the other service using terminal TM2, and user information corresponding to the user ID, for example, an address of each database storing the user information. Storing.

  The usage information database 32 stores user data generated by using the other service system 30.

  The other service server 33 receives various data and requests from the other service utilization terminal TM2, and stores the various data in the utilization information database 32 in association with the user ID based on the information received from the other service utilization terminal TM2. .

Next, an example of the step count management operation in the walking information management system will be described below.
FIG. 2 is a flowchart for explaining an example of the operation of the walking information management system.
FIG. 3 is a sequence diagram illustrating an example of the operation of the walking information management system.

  First, the processing unit 16 of the server 15 calculates a walking speed (m / min), a stride (m), and a walking rate (step / min) from daily walking information and position information. In general, the height and the stride are proportional, the walking speed is proportional to the stride, and the walking speed is proportional to the walking rate. The processing unit 16 calculates a relational expression for each individual for increasing the accuracy. The operation of each configuration is shown in FIG.

  First, the processing unit 16 inquires about the walking information, the position information, and the time from the walking information database 12 and the position information database 13 (step SA1), and whether or not both the walking information and the position information exist at the same time. Determine (step SA2). When at least one of walking information and position information is not present, the same operation is performed for the next time. The interval at which the processing unit 16 samples the walking information and the position information may be in minutes.

  When there is both walking information and position information, the processing unit 16 calculates a moving speed, a moving distance, and a moving time based on the position information (step SA3).

  Next, the processing unit 16 calculates a walking speed, a stride, and a walking rate from the moving speed, the moving distance, and the number of steps divided by a period during which the moving speed is substantially constant (step SA4). For example, when walking (moving at a constant speed) from 10:10 to 10:20, the number of steps is 1200 steps, and the moving distance is 1050 m, the processing unit 16 determines the walking speed v, the step length ls, and the walking rate ps. Is calculated as follows.

Walking speed v: 1050/10 = 105 (m / min)
Step length ls: 1050/1200 = 0.875 (m / step)
Walking rate ps: 1200/10 = 120 (steps / minute)
Subsequently, the processing unit 16 plots the relationship between the step length and the walking rate at different walking speeds, and calculates, for example, a relational expression of the walking speed, the step length, and the walking rate using an approximate curve as described below (step SA5). The approximation method used at this time is not particularly limited.

Walking speed v and step length ls: ls = 0.004v + 0.455
Walking speed v and walking rate ps: ps = 0.611v + 55.945
Walking rate ps and step length ls: ls = 0.0003ps
Subsequently, based on the walking information and the position information, for example, the user's action history (time, (required) time, route, distance, means, speed, number of steps, etc.) such as commuting to school is analyzed (step SA6). . As illustrated in FIG. 3, the processing unit 16 may analyze the behavior history of the user using the usage information of the other service system.

  The processing unit 16 stores the relational expression and analysis result calculated as described above in, for example, the processed database 14.

FIG. 4 is a flowchart illustrating an example of an operation when the walking information management system supplements walking information.
FIG. 5 is a sequence diagram illustrating an example of an operation when the walking information management system supplements walking information.

  The processing unit 16 estimates the number of steps using the position information acquired by the GPS-equipped terminal TM1 during a period in which the user has moved based on the position information and there is no walking information from the pedometer PM. Is calculated.

First, the processing unit 16 determines the presence / absence of movement from the position information stored in the database (step SB1).
If it is determined that there is no movement, the processing unit 16 returns to step SB1 and determines the presence or absence of movement based on the position information in the next period.

  If it is determined that there is a movement, the processing unit 16 determines whether there is walking information for the period based on the data stored in the walking information database 12 (step SB2). When there is walking information, it is not necessary to supplement the walking information, so the processing unit 16 performs the operation of step SB1 again for the next period. When there is no walking information, the processing unit 16 determines whether the movement is a walking from the moving distance and the moving speed obtained from the position information (step SB3). For example, when the moving distance from 13:10 to 13:30 is 1200 m, the moving speed is 1200/20 = 60 (m / min). When this value is within the range of the user's past walking speed, it is determined that the user is walking.

If it is determined that it is not walking, the processing unit 16 returns to step SB1 and determines the presence or absence of movement due to walking based on the position information in the next period.
In complementing the walking information, the moving means may be determined using the position information in order to improve calculation accuracy. The moving speed varies depending on the moving means (walking, running, bicycle, moped, automobile, train, ship, airplane, etc.). From the number of daily steps and position information, the upper and lower limits of the walking speed of the user and the distribution of the walking speed can be obtained. If the moving speed obtained from the position information is out of the past walking speed range or the confidence interval of the walking speed distribution, it may be determined that the moving speed is moved using another moving means instead of walking.

  Further, when the transportation usage information can be obtained from another service system, the moving means may be determined from the transportation usage information. For example, when the moving means used moves only at a moving speed comparable to walking for some reason, it may be determined as walking even when it is not actually moving by walking.

  Therefore, when transportation usage information (time, place, fee) recorded on a medium that holds transportation usage information (transportation IC card, portable terminal having the function, etc.) is obtained, The period using transportation means may be excluded from the step count estimation target. However, regarding the movement by walking in the station premises or the like, the number of steps in the movement within the station premises may be estimated from the daily number of steps and position information as long as the route is used every day for commuting / commuting.

  For example, as a medium for holding other usage information, an IC card, a monitoring camera, a usage history of a facility, a usage history of public transportation, a usage status / electric power consumption of an electric product, and the like can be considered.

IC card includes location information (time and place of entrance / exit of ticket gate, time and place of bus use), travel information (transportation means, travel route, fee), location information (location of purchase store, purchase time), etc. Information is available.
The surveillance camera can use information such as position information (location / time reflected on the camera).
The facility use history can use information such as location information (check-in / out / gate passage / entry time / place).
Information such as location information (time and place of check-in / gate passage), movement information (movement means, movement route, fee), and the like can be used as the use history of public transportation.
Information such as position information (for example, whether the user is in the place based on the usage status of a personal computer or a private car) can be used for the usage status / power consumption of the electrical product.

In this case, the processing unit 16 requests the other service system using the medium to access the usage information of the other service user ID associated with the user ID, and enters the usage information database 32 of the other service system. Get the corresponding usage information stored.
When it is determined that it is walking, the processing unit 16 reads the relational expression between the walking speed and the walking rate calculated in advance in step SA5 from the processed database 14, and calculates the number of steps. For example, the walking rate is 0.611 × 60 + 55.955 = 92.615 (steps / minute) and the moving time is 20 minutes from the relational expression between the walking speed v and the walking rate ps in the above-described example. (Walking rate) × (movement time) = 92.615 × 20 = 1852.3, and 1852 steps are obtained (steps SB4 to SB6).
The processing unit 16 stores the number of steps calculated as described above in the processed database 14 in association with the user ID, time, and the like.

  As described above, according to the present embodiment, when an individual who uses the service for managing the number of steps forgets to have the pedometer PM, the number of steps that were not measured by the pedometer PM but actually walked. Can be estimated by using other information that can be obtained from other than the pedometer PM, and a walking information complementing method and a walking information management system that complement deficiencies in the step count data can be provided.

  Next, the walking information complementing method and walking information management system of the second embodiment will be described in detail with reference to the drawings. In the following description, the same components as those in the above-described embodiment are denoted by the same reference numerals and description thereof is omitted.

  FIG. 6 is a block diagram schematically illustrating a configuration example of the walking information complementing method and the walking information management system according to the present embodiment.

  The walking information management system according to the present embodiment uses an IC card (traffic IC card, a portable terminal having a function thereof, a (street corner) monitoring camera, a facility use) as the other service use terminal TM2 without using a GPS-equipped terminal. The present embodiment is different from the above-described embodiment in that a history, a usage history of public transportation, a usage status of electric appliances, power consumption, and the like are employed. Except this point, it is the same as that of the above-mentioned embodiment.

  FIG. 7 is a sequence diagram illustrating an example of the operation of the walking information management system of the present embodiment.

  In the present embodiment, for example, the walking information is supplemented using the time, the moving means, the moving time, and the number of daily steps in the movement from the point A to the point B. This embodiment is suitable for a case where it is considered that the same route is being moved by the same moving means on a daily basis, such as commuting to work or school.

The processing unit 16 calculates a movement start / end time and a route from information including the location of the user at the time, and calculates a movement distance, a movement speed, and the number of steps.
The processing unit 16 inquires the usage information of the other service user ID associated with the user ID to the other service system.
In response to a request from the processing unit 16, the server 33 of the other service system 30 searches the data stored in the user ID database 31 and the usage information database 32, and processes the corresponding information (location information / movement information). Supply to unit 16.

  The processing unit 16 analyzes the daily action history of the user based on the position information and movement information obtained from the other service system 30. That is, the processing unit 16 combines the daily walking information with the location information / movement information, and the user's daily action history (time, (required) time, route, distance, means, speed, such as commuting to school).・ Analyze the number of steps). The processing unit 16 stores the analysis result in, for example, the processed database 14. This analysis is periodically performed and updated to the latest information after the analysis.

FIG. 8 is a flowchart for explaining an example of the operation of the walking information management system of the present embodiment.
FIG. 9 is a sequence diagram illustrating an example of the operation of the walking information management system of the present embodiment.

The processing unit 16 determines the presence or absence of movement based on the position information and the movement information (step SC1).
If it is determined that there is no movement, the processing unit 16 performs the operation of step SC1 again for the next period.
If it is determined that there is a movement, the processing unit 16 determines whether there is walking information for the period based on the data stored in the walking information database 12 (step SC2).

Since there is no need to supplement the walking information when there is walking information, the processing unit 16 performs the operation of step SC1 again for the next period.
When there is no walking information, the processing unit 16 determines whether or not the movement during the period is a movement due to walking (step SC3). The determination here can be performed in the same manner as in the above-described embodiment.

When it determines with it not being the movement by walking, the process part 16 performs operation | movement of step SC1 again about the following period.
If it is determined that the movement is due to walking, the processing unit 16 determines whether the route has an action history based on the data stored in the processed database 14 (step SC4).
If there is no action history, the processing unit 16 performs the operation of step SC1 again for the next period.

  If there is an action history, the processing unit 16 acquires the number of steps in the movement by walking based on the action history (step SC5). The processing unit 16 stores the acquired number of steps in the walking information database 12.

In order to improve the accuracy of calculating the number of steps, for example, the number of steps may be calculated for a route having no past action history by using the past action history of another person.
For example, when a person A walks a route on which the person A behaves for the first time without having the pedometer PM, the person B having the action history including the route and the route common to the person A You may refer to the action history.
In this case, the processing unit 16 calculates a conversion formula for the number of steps between the person A and the person B using walking information on a route common to the person A and the person B. For a route in which the person A does not have the pedometer PM and acts for the first time, the number of steps in the corresponding route in the action history of the person B and the conversion formula of the number of steps can be used to calculate the number of steps of the person A. . This calculation method is effective only when it is considered that the user has moved between two points specified from the position information and the movement information without making a detour.

  As described above, according to the present embodiment, when an individual who uses the service for managing the number of steps forgets to have the pedometer PM, the number of steps that were not measured by the pedometer PM but actually walked. Can be estimated by using other information that can be obtained from other than the pedometer PM, and a walking information complementing method and a walking information management system that complement deficiencies in the step count data can be provided.

Next, a walking information complementing method and a walking information management system according to a third embodiment will be described in detail with reference to the drawings.
FIG. 10 is a block diagram schematically illustrating a configuration example of the walking information complementing method and the walking information management system according to the present embodiment.

  The walking information management system of the present embodiment is different from the above-described first and second embodiments in that a walking power generation device is employed as the other service using terminal TM2 without using a GPS-equipped terminal. The other service utilization terminal TM2 supplies the walking power generation server 33 with the walking power generation information including the power generation amount by walking. The walking power generation server 33 stores the walking power generation information received from the other service using terminal TM2 in the walking power generation information database (use information database) 32 in association with the user ID, time, and the like. Except this point, it is the same as that of the above-mentioned embodiment.

FIG. 11 is a flowchart for explaining an example of the operation of the walking information management system of the present embodiment.
FIG. 12 is a sequence diagram illustrating an example of the operation of the walking information management system of the present embodiment.

  The processing unit 16 requests the walking power generation server 33 of the walking power generation service system 30 to access the walking power generation information of the other service user ID associated with the user ID. The walking power generation server 33 searches the data stored in the walking power generation information database 32 in response to a request from the processing unit 16, and provides the corresponding walking power generation information to the processing unit 16 (step SD1).

The processing unit 16 determines whether there is both walking information and walking power generation information at the same time (step SD2).
When at least one of the walking information and the walking power generation information is not present, the processing unit 16 returns to step SD1 and acquires the walking power generation information at the next time.

  When there is both walking information and walking power generation information, the processing unit 16 calculates a relational expression between the walking information and the power generation information from the walking information and the walking power generation information (for example, a relational expression between the walking power generation amount and the number of steps). Is calculated (step SD3). The walking power generation is performed, for example, by pressure applied to the bottom surface (toe) of the foot when the user puts the foot on the ground, vibration of walking, or the like. For this reason, it is possible to calculate a relational expression between the walking power generation amount and the number of steps. For example, the processing unit 16 calculates a relational expression between the walking power generation amount and the number of steps from the daily walking information and the walking power generation amount. Further, depending on the method of walking power generation, the number of times of walking power generation may be equal to the number of steps. In this case, the number of steps may be determined by counting the number of times of power generation during walking in a predetermined period (the number of times the power generation amount of walking is greater than 0) without using the relational expression between the amount of power generation during walking and the number of steps. The processing unit 16 stores the calculated relational expression in the processed database 14.

FIG. 13 is a flowchart for explaining an example of the operation of the walking information management system of the present embodiment.
FIG. 14 is a sequence diagram illustrating an example of the operation of the walking information management system of the present embodiment.

  The processing unit 16 outputs a request for access to the walking power generation information database of the walking power generation service user ID associated with the user ID to the walking power generation server 33. The walking power generation server 33 searches the data stored in the walking power generation information database 32 in response to a request from the processing unit 16 and provides corresponding walking power generation information to the processing unit 16.

The processor 16 determines whether or not the walking power generation amount is larger than the threshold for a predetermined period for the walking power generation information obtained from the walking power generation service system (step SE1).
When the walking power generation amount is equal to or less than the threshold value, the processing unit 16 determines whether or not the walking power generation amount is larger than the threshold value for the next predetermined period.

If the walking power generation amount is larger than the threshold value, the walking information database 12 is searched to determine whether or not there is walking information for a corresponding predetermined period (step SE2).
When there is walking information, since it is not necessary to supplement the walking information, the processing unit 16 determines whether or not the walking power generation amount is larger than the threshold for the next predetermined period.

When there is no walking information, the relational expression between the walking power generation amount and the number of steps calculated in step SD3 is read from the processed database 14, and the number of steps is calculated from the walking power generation amount (step SE3).
The processing unit 16 stores the number of steps calculated as described above in the walking information database 12.

  That is, according to the above embodiment, when an individual who uses a service for managing the number of steps forgets to have a pedometer or the like, the number of steps that were not measured by the pedometer or the like but were actually walked are calculated. It is possible to provide a walking information complementing method and a walking information management system that are estimated by using other information that can be obtained from other than the above, and that compensate for the loss of the step count data.

  As described in the above embodiments, the accuracy of the step count management / analysis is improved by complementing the missing step count data. Data loss is the root cause of reducing data reliability and reducing the accuracy of data management and analysis. In the above embodiments, the accuracy of data management / analysis can be improved by supplementing the missing step count data.

Note that the walking information complementing method and the walking information management system described in the plurality of embodiments can be applied to various services.
For example, when applied to a health management service that handles walking information, it is possible to develop a service that has the advantage of being able to complement the number of steps data. When content using step count data (eg, point service according to step count, step count ranking) is implemented, the above-mentioned walking information complementing method and the walking information management system are used to tamper with step count data ( Example: manual input of the number of steps, attachment to a machine, etc. to measure the number of steps).

  For example, when it is applied to a watch service using walking information, it is possible to watch a child (whether an accident has occurred in the middle of a round-trip of a lesson) or watch an elderly person (dementia develops and hesitates). The accuracy of the analysis can be further improved.

  For example, when applied to employee attendance management, it is possible to more accurately grasp the start / end times and the number of sales activities of employees who are engaged in outside sales activities based on data rather than self-reporting. .

  The walking information complementing method and walking information management system can also be applied to analysis and marketing using walking information. In this case, it can be used as a reference for marketing to the target audience. For example, it is possible to acquire data that is effective when analyzing where to open a new store that targets a person whose access means is walking.

  In addition, information obtained from vital devices (electrocardiograph, heart rate monitor, thermometer, sweat meter, etc.), weather information, and the like may be used to supplement walking information. Various body information obtained from the vital device can be used to infer the user's behavior (for example, walking or running). The weather information can be used to estimate the possibility that the user has gone out.

  In short, the present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying the constituent elements without departing from the scope of the invention in the implementation stage. Further, various inventions can be formed by appropriately combining a plurality of constituent elements disclosed in the embodiment. For example, some components may be deleted from all the components shown in the embodiment. Furthermore, you may combine suitably the component covering different embodiment.

DESCRIPTION OF SYMBOLS 10 ... Walk information management service system, 11 ... User ID database, 12 ... Walk information database, 13 ... Location information database, 14 ... Processed database, 15 ... Server, 16 ... Processing part, 20 ... GPS service system, 21 ... GPS service server, 30 ... other service system (walking power generation service system), 31 ... user ID database, 32 ... usage information database (walking power generation information database), 33 ... other service server (walking power generation server), TM1 ... GPS installed Terminal, TM2, a terminal using other services.

Claims (2)

A user ID database storing IDs for each user;
A walking information database that accumulates walking information including the number of steps received from a pedometer or the like via a network and an ID for each user ;
A positional information database that stores the positional information received from the GPS-equipped terminal via the network in association with the ID of each user ;
The walking information database and the position information database are searched to search for the time when both the walking information and the position information exist, and the moving speed, moving distance, and moving time are calculated based on the moving information and the time. Then, for the period when the calculated moving speed is approximately constant, the walking speed, step length, and walking rate are calculated from the moving speed, moving distance, and number of steps, and the relational expression of the calculated walking speed, step length, and walking rate is calculated. And a processing unit
The processing unit calculates a moving speed and a moving time based on the position information of the user for a period in which the user moves by walking and has no walking information, and calculates the calculated moving speed, A walking information management system that calculates a walking rate by substituting it into a relational expression between a walking speed and a walking rate, and calculates the number of steps by multiplying the calculated walking rate and movement time. A method for complementing walking information executed by an information processing device,
A walking information database that stores walking information including the number of steps received from a pedometer or the like via a network and an ID for each user, and position information received from a GPS-equipped terminal via the network and each user Search for a location information database that stores and stores IDs of IDs , and search for times when both walking information and location information exist,
Calculate travel speed, travel distance, travel time based on travel information and its time,
Calculate the walking speed, step length and walking rate from the moving speed, moving distance, and number of steps for the period when the calculated moving speed is substantially constant,
Calculate the relationship between the calculated walking speed, stride, and walking rate,
For a period in which the user has moved by walking and determined that there is no walking information, a moving speed and a moving time are calculated based on the position information of the user,
Substituting the calculated moving speed into the relational expression between walking speed and walking rate to calculate walking rate,
A method for complementing walking information that calculates the number of steps by multiplying the calculated walking rate and travel time.

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