JP2016047180A - Exercise information prediction device, exercise information prediction program, method for calculating exercise information prediction value, and exercise information prediction system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To predict exercise information related to exercise planned to perform from now, before or halfway of the exercise.SOLUTION: A portable terminal 1 includes: a storage part 3 that stores course information of an exercise course, and past exercise data in a part of the exercise course or in all processes; and a control part 2 that calculates an exercise information predictive value as a predictive value of the exercise information when a user exercises from a prescribed first position to a prescribed second position in the exercise course using the course information and the exercise data.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a technique for predicting exercise information (calorie consumption, required time, number of steps, etc.) related to an exercise scheduled for execution by a user.

  2. Description of the Related Art Conventionally, for example, when climbing or running, a technique for collecting exercise data (for example, heart rate, average moving speed, etc.) using a motion analysis device and presenting the exercise data up to the present time to a user is well known. For example, Patent Document 1 relates to an exercise performance monitoring system, and has a technology for displaying exercise data (pedometer data, speedometer data, travel recorder data, etc.) related to the running course and its position on a display screen during running. It is disclosed.

Special table 2012-524638 gazette

  However, in the prior art, it is not possible to make an appropriate judgment regarding the exercise scheduled to be performed before or during exercise (climbing, running, etc.). If such an appropriate judgment can be made, the user can appropriately determine the subsequent action plan, which is convenient.

  Therefore, the present invention has been made in view of such a background, and an object of the present invention is to predict exercise information related to an exercise scheduled to be executed before or during exercise.

In order to solve the above problems, the first invention of the present invention is:
A storage unit for storing course information of an exercise course, and past exercise data in a part or all of the exercise course;
Using the course information and the exercise data, an exercise information prediction value that is a prediction value of exercise information when the user exercises from a predetermined first position to a predetermined second position in the exercise course is calculated. A control unit;
It is an exercise information prediction device characterized by comprising.

The second invention of the present invention is:
The information of the exercise information by the exercise information prediction device comprising: course information of the exercise course; and a storage unit that stores past exercise data in a part or all of the exercise course, a control unit, and a notification unit. A method of calculating a motion information predicted value that is a predicted value,
The control unit uses the course information and the exercise data, and exercise information that is a predicted value of exercise information when the user exercises from a predetermined first position to a predetermined second position in the exercise course. This is a method for calculating a motion information predicted value, characterized by calculating a predicted value.

The third invention of the present invention is:
A motion information prediction system comprising a terminal and a server connected via a network,
The terminal
An operation unit that accepts user operations;
An exercise course selected by the user from course information of a plurality of exercise courses received from the server by a user operation using the operation unit, a first position designated by the user in the selected exercise course, and A control unit for transmitting a second position to the server;
A receiving unit that receives a motion information prediction value that is a predicted value of motion information when the user exercises from the first position to the second position from the server;
With
The server
A storage unit for storing course information of the plurality of exercise courses and past exercise data for each of the plurality of exercise courses;
Based on the selected exercise course received from the terminal, the designated first position and second position, course information stored in the storage unit of the server, and exercise data of the selected exercise course A control unit that calculates a motion information prediction value when the user exercises from the first position to the second position, and transmits the calculated motion information prediction value to the terminal. It is an exercise information prediction system.

  According to the present invention, it is possible to predict exercise information related to an exercise scheduled to be executed before or during exercise.

It is a block diagram of the portable terminal of 1st Embodiment. It is an image figure of a mountain climbing course. It is a figure which shows the example of exercise | movement data. It is a schematic diagram for demonstrating the example of the calculation formula of an exercise | movement information prediction value. It is a flowchart which shows the flow of the process which calculates an exercise | movement information predicted value in 1st Embodiment. It is a figure which shows the display screen in 1st Embodiment. It is a flowchart which shows the flow of the process which calculates a motion information prediction value in 2nd Embodiment. It is a figure which shows the picked-up image in 2nd Embodiment. It is a figure which shows the display screen in 2nd Embodiment. It is a block diagram of the terminal and server of 3rd Embodiment. It is a flowchart which shows the flow of the process which calculates an exercise | movement information predicted value in 3rd Embodiment.

  DESCRIPTION OF EMBODIMENTS Hereinafter, an exercise information prediction apparatus, an exercise information prediction program, an exercise information prediction value calculation method, and an exercise information prediction system according to the present invention will be described in detail with reference to embodiments. In addition, in the following description, the case where the user of the exercise | movement information prediction apparatus which concerns on this invention climbs is demonstrated. In addition, the road that the user is scheduled to go to during mountain climbing is determined in advance (there may be a branch or the like), and the road is referred to as “climbing course” or “course”.

(First embodiment)
In the first embodiment, a user who owns a mobile terminal uses a mobile terminal during mountain climbing to exercise information (calorie consumption, required time) from the current location (first position) to the summit (second position). A case where one of the number of steps is predicted) will be described.

  As shown in FIG. 1, the mobile terminal 1 (motion information prediction device) is, for example, a smartphone or a tablet terminal, and includes a control unit 2, a storage unit 3, a photographing unit 4, a communication unit 5, and a GPS (Global Positioning System) signal reception. Unit 6, display unit 7, acceleration sensor 8, direction sensor 9, step count unit 10, and operation unit 11. Note that the mobile terminal 1 includes a clock circuit having an oscillator that generates a basic clock, an operation power supply that supplies driving power to each component of the mobile terminal 1, and the like, which are directly related to the technical features of the present invention. Since there is no general relationship, illustration and detailed explanation are omitted. Moreover, although the imaging | photography part 4 and the direction sensor 9 are the structures used by 2nd Embodiment instead of an essential structure in 1st Embodiment, they are demonstrated in this 1st Embodiment for convenience.

  The control unit 2 controls the mobile terminal 1 as a whole. For example, the control unit 2 includes a CPU (Central Processing Unit) and a memory, and is stored in the storage unit 3 on the basis of an operation clock generated in a clock circuit (not shown). A predetermined control program is executed. Thereby, the control unit 2 controls various operations such as the calculation of the motion information prediction value, the sensing operation in the GPS signal receiving unit 6, the acceleration sensor 8, and the azimuth sensor 9, and the display on the display unit 7.

  The storage unit 3 is means for storing each piece of information shown in the figure, and is configured by, for example, a RAM (Random Access Memory), a ROM (Read Only Memory), or the like. Moreover, the memory | storage part 3 memorize | stores the exercise information prediction program (control program) for functioning a computer (including portable terminals, such as a smart phone) as an exercise | movement information prediction apparatus. Note that a part or all of the storage unit 3 may have a form as a removable storage medium such as a memory card, and may be configured to be detachable from the mobile terminal 1.

Next, each piece of information stored in the storage unit 3 will be described.
The map information is information on a map including a mountain climbing course (exercise course). For example, the map information is available on the Internet, such as Google Map map service (registered trademark) provided by Google (registered trademark) on the Internet. Possible map data may be map data that is commercially available in the form of a map disk.

The course information is latitude information, longitude information, and altitude information of the mountain climbing course in the map information.
The GPS information is information such as position information of the mobile terminal 1 specified by signals from a plurality of GPS satellites (details will be described later in the description of the GPS signal receiving unit 6).

The exercise data is data of past exercise on the mountain climbing course. For example, the exercise data is data of exercise from the climbing start point (exercise start point) to the current location (first position) in the current climbing of the user.
The motion information predicted value is a predicted value of motion information when the user exercises from the current location (first position) to the summit (second position), which is predicted by the control unit 2 using the course information and motion data. (Details will be described later).

  The first position information is information on a predetermined first position that is a start position of a target motion for which a predicted motion information value is calculated. Specifically, for example, the control unit 2 determines the first position by designation using the operation unit 11 by the user. Further, the control unit 2 may determine the shooting position by the shooting unit 4 as the first position.

  The second position information is information on a predetermined second position that is the end point position of the target motion for which the predicted motion information value is calculated. Specifically, for example, the control unit 2 determines the second position by designation using the operation unit 11 by the user. Further, the control unit 2 determines the feature point in the image as the second position by using the image captured by the imaging unit 4, the imaging information (details will be described later) of the image, and the course information. Also good.

The photographed image is an image photographed by the photographing unit 4.
The shooting information is position information at the time of shooting by the shooting unit 4, direction information in the shooting direction, and angle information of the elevation angle or depression angle, and is generated by the control unit 2 based on GPS information and data acquired by the direction sensor 9. The

  The imaging unit 4 is a unit that generates an image by imaging in accordance with an operation of the operation unit 11 by the user. The photographed image is stored in the storage unit 3 in association with the photographing information.

  The communication unit 5 functions as an interface for transmitting / receiving various data to / from an external device such as a base station. For example, in the mobile terminal 1, the control unit 2 can acquire the latest map information from an external device via the communication unit 5 and store it in the storage unit 3. Here, as a method for transmitting and receiving data between the mobile terminal 1 and the external device via the communication unit 5, for example, wireless communication such as Bluetooth (registered trademark) or Wi-Fi (registered trademark) is used. is there.

  The GPS signal receiving unit 6 receives radio waves from a plurality of GPS satellites via a GPS antenna, detects a geographical position based on latitude information, longitude information, and altitude information, and outputs it as position data. In addition, the GPS signal receiving unit 6 detects the moving speed of the user using the Doppler shift effect of the radio wave from the GPS satellite and outputs it as speed data. The speed data may be calculated based on the position data and the elapsed time. The GPS information including the position data and the speed data is stored in the storage unit 3 in association with the acquired (calculated) date / time data.

  The display unit 7 (notification unit) is a means for displaying an image, a character, a figure, or the like according to an instruction from the control unit 2. For example, a liquid crystal system capable of color or monochrome display, or a light emitting element system such as an organic EL element. It is a display panel.

  The acceleration sensor 8 is a means for measuring acceleration in each direction of the three axes of the mobile terminal 1. The acceleration sensor 8 detects a change rate (acceleration) of the operation speed during the movement of the user holding the mobile terminal 1 as acceleration data. Output. The acceleration data includes, for example, calculation of each information of acceleration, speed (acceleration is time-integrated), and displacement (speed is time-integrated) of movement of the mobile terminal 1 as complementary information of GPS information, and the step count unit 10 counts the number of steps. Used for.

  The direction sensor 9 includes, for example, a geomagnetic sensor (electronic compass), and detects the photographing direction of the photographing unit 4 by detecting the earth's magnetic field (magnetic field). The azimuth data acquired by the azimuth sensor 9 is used for, for example, the above-described photographing information.

The step count unit 10 is means for counting the number of steps of the user of the mobile terminal 1 and counts the number of steps based on acceleration data acquired by the acceleration sensor 8, for example.
The operation unit 11 is means for receiving various operations by the user, and is, for example, a push button type switch or a touch panel.

  Next, the mountain climbing course will be described. As shown in FIG. 2, a climbing course is a path that a predetermined climber walks from a mountain climbing start point to the summit at the foot of the mountain. In the first embodiment, motion information from the current location to the summit is predicted based on motion data from the mountain climbing start point to the current location.

  Next, an example of exercise data will be described. As shown in FIG. 3, the exercise data stored in the storage unit 3 of FIG. 1 includes position information (latitude, longitude, altitude (altitude)) associated with a mountain climbing start point and a position associated with the current location. Information (latitude, longitude, altitude (elevation)), distance from the starting point of climbing, calorie consumption, required time, number of steps, and position information (latitude, longitude, altitude (elevation)) linked to the summit, It is.

  Next, an example of a calculation formula for the motion information prediction value will be described. Here, in order to facilitate explanation, as shown in FIG. 4, a simple model is considered in which a monotonous uphill from the climbing start point to the summit is assumed.

  The distance A (km) from the mountain climbing start point to the current location and the distance B (km) from the current location to the summit can be calculated from the map information, course information, and GPS information in the storage unit 3.

  Further, the calorie consumption c (kcal), the required time d (minutes), and the number of steps e (steps) from the mountain climbing start point to the present location are measured or calculated by the portable terminal 1. Specifically, for example, the calorie consumption c (kcal) can be calculated by multiplying the calorie consumption per unit distance by the movement distance. The required time d (minutes) can be calculated from the difference between the time at the mountain climbing start point and the time at the current location. Further, the step count e (step) is obtained from the step count data of the step count counting unit 10.

  In this case, the calorie consumption c1 (kcal), the required time d1 (minutes), and the number of steps e1 (steps) from the current location to the summit can be calculated by the following equations (1) to (3), respectively.

c1 = c × (B / A) (1)
d1 = d × (B / A) (2)
e1 = e × (B / A) (3)

  Here, the motion information predicted values (c1 (kcal), d1 (minutes), e1 (walks)) are calculated using a simple model, but the motion information predicted values are calculated using a complicated model in which the course inclination angle is not constant. May be calculated. In this case, for example, the calculation is performed based on the calorie consumption c1, the required time d1, and the number of steps e1 per fixed distance for each inclination angle.

Next, a flow of processing for calculating the motion information prediction value in the mobile terminal 1 will be described.
As shown in FIG. 5 (refer also to FIGS. 1 to 4 as appropriate), the control unit 2 of the mobile terminal 1 determines whether or not the user has started mountain climbing (step S101). If No, go back to step S101. In step S101, specifically, the control unit 2 may determine that the user has started climbing by the operation unit 11 performing a climbing start operation by the user, or the storage unit 3 It may be determined by detecting that the mobile terminal 1 has arrived at a mountain climbing start point designated in advance based on the GPS information stored in.

  In step S <b> 102, the control unit 2 acquires position information of the current location of the user (mobile terminal 1). Specifically, the control unit 2 collates the position data output from the GPS signal receiving unit 6 with the map information and the course information in the storage unit 3, thereby obtaining the current location information of the user (mobile terminal 1). get.

  Next, in step S <b> 103, the control unit 2 acquires (calculates) exercise data (see FIGS. 1 and 3) from the climbing start point to the current location, and stores it in the storage unit 3.

  In step S104, the control unit 2 determines whether or not there has been an instruction to calculate the exercise information predicted value by the user's operation using the operation unit 11. If Yes, the process proceeds to step S105. If No, the process proceeds to step S102. Return. Specifically, when the user performs an operation for calculating the motion information predicted value using the operation unit 11 at a point where the user wants to know the motion information predicted value during the course, in step S104, the control unit 2 determines that there is an instruction to calculate the motion information prediction value.

  In addition, the repetition process of No in step S102 to step S104 is performed, for example, at intervals of about several milliseconds to several seconds.

  In step S <b> 105, the control unit 2 uses the map information and the course information stored in the storage unit 3 to acquire position information on the summit that is the target point.

  Next, in step S106, the control unit 2 calculates a motion information prediction value from the current location to the summit. Specifically, the control unit 2 calculates a motion information prediction value from the current location to the summit using Equation (1) to Equation (3) using the algorithm described with reference to FIG.

  Next, in step S107, the control unit 2 displays the motion information predicted value on the display unit 7, and ends the process. In step S107, specifically, as shown in FIG. 6, the display unit 72 displays the altitude of the current location, the distance from the climbing start point to the current location, the calorie consumption, the required time, and the number of steps on the display unit 7. At the same time, the altitude of the summit, the distance from the current location to the summit, and the predicted motion information (calorie consumption, required time, number of steps) are displayed in the display area 71. By viewing this display, the user can know the load of climbing from the current location to the summit, and can appropriately determine the subsequent action plan, such as whether to continue climbing to the summit as it is or to change the target point .

  Note that a part or all of the GPS signal receiving unit 6, the acceleration sensor 8, the direction sensor 9, and the step count counting unit 10 in the mobile terminal 1 may be realized as a dedicated device different from the mobile terminal 1. In that case, the portable terminal 1 and its dedicated device may be able to communicate with each other via Bluetooth (registered trademark), Wi-Fi (registered trademark), or the like.

(Second Embodiment)
Next, a second embodiment will be described. In the second embodiment, compared to the first embodiment, the target point (second position) is not determined in advance, and the user uses the photographing unit 4 of the mobile terminal 1 as a target point in the middle of the mountain climbing course. This is different in that a landscape including a portion to be captured is photographed, a target point such as a peak or peak is detected from the photographed image, and a motion information prediction value from the photographing point to the detected point is calculated and displayed. In the following description of the flowchart of FIG. 7, repeated detailed description of processing steps similar to the processing steps in FIG. 5 is omitted.

  As shown in FIG. 7 (refer also to FIGS. 1 to 4 as appropriate), the control unit 2 of the mobile terminal 1 determines whether or not the user has started climbing (step S201; similar to step S101 of FIG. 5). If Yes, the process proceeds to step S202. If No, the process returns to step S201.

In step S202 (similar to step S102 in FIG. 5), the control unit 2 acquires position information of the current location of the user (mobile terminal 1).
Next, in step S203 (similar to step S103 in FIG. 5), the control unit 2 acquires (calculates) motion data from the mountain climbing start point to the current location (see FIG. 3).

  In step S <b> 204, the control unit 2 determines whether or not an instruction to calculate the motion information predicted value has been given by the user's operation using the operation unit 11 along with the image capturing using the image capturing unit 4. In step S205, if no, the process returns to step S202. Specifically, the user operates the operation unit 11 to perform shooting by the shooting unit 4 at a point where the user wants to know the motion information predicted value up to the target point during the course, and uses the operation unit 11. When the operation for calculating the motion information prediction value is performed, in step S204, the control unit 2 determines that there is an instruction to calculate the motion information prediction value along with the image capturing. An example of the photographed image is as shown in FIG.

  Returning to FIG. 7, in step S <b> 205, the control unit 2 stores the shooting information in the storage unit 3. Specifically, the control unit 2 acquires position information when shooting by the shooting unit 4 is performed by the user from the GPS information of the storage unit 3, and direction information of the imaging direction and angle information of the elevation angle or depression angle. Is calculated from the azimuth data acquired by the azimuth sensor 9, and the acquired information is stored in the storage unit 3 as photographing information.

  In step S206, the control unit 2 detects the peak and peak using the captured image. Specifically, for example, the control unit 2 detects feature points by performing image processing such as edge detection processing (edge line detection processing, etc.) on the captured image.

  Next, in step S207, the control unit 2 acquires the position information of the peaks and peaks. Specifically, the control unit 2 acquires the peak and peak position information detected in step S206, the peak and peak shapes obtained by the image processing in step 206, and the shooting information stored in the storage unit 3 in step 205. And the map information and course information stored in the storage unit 3.

  Next, in step S208 (similar to step S106 in FIG. 5), the control unit 2 calculates motion information prediction values from the current location to the summit and peak (see FIG. 4).

  Next, in step S209, the control unit 2 combines the motion information prediction value and the captured image. Specifically, for example, as shown in FIG. 9, the control unit 2 does not overlap the peak and peak of the target point in the image on the display unit 7 and shows the correspondence with those target points. As described above, the image synthesis is performed so as to secure the display areas 73, 74, 75, and 76 and display the motion information predicted value and the like.

  Next, in step S210, the control unit 2 displays the synthesized image on the display unit 7 and ends the process. Specifically, in step S210, as shown in FIG. 9, each information of the display areas 73, 74, 75, and 76 is displayed on the display unit 7.

In the display area 73, an overview of the mountain climbing course is displayed.
In the display area 74, the altitude of the current location, the distance from the mountain climbing start point to the current location, calorie consumption, the required time, and the number of steps are displayed.

In the display area 75, the altitude of the summit, the distance from the current location to the summit, and the predicted motion information (calorie consumption, required time, number of steps) are displayed.
In the display area 76, the altitude of the peak, the distance from the current location to the peak, and the motion information predicted value (calorie consumption, required time, number of steps) are displayed.

  By viewing this display, the user can know the mountain climbing load up to the peak or peak, and can appropriately determine the subsequent action plan such as whether the target point is the peak or peak.

(Third embodiment)
Next, a third embodiment will be described. The third embodiment is an exercise information prediction system 1000 configured to include a terminal 101 and a server 201 connected via a network. With this exercise information prediction system 1000, a user can perform a mountain climbing simulation by operating the terminal 101 at home, for example.

  As illustrated in FIG. 10, the terminal 101 is a device that can transmit and receive data to and from the server 201 via the network 301, and is, for example, a notebook type or desktop type PC (Personal Computer). A storage unit 103, a display unit 104, an operation unit 105, and a communication unit 106. The operation unit 105 is an input unit such as a keyboard, a touch pad, or a mouse. Since the control unit 102, the storage unit 103, the display unit 104, and the communication unit 106 have substantially the same configuration as the control unit 2, the storage unit 3, the display unit 7, and the communication unit 5 of the mobile terminal 1 in FIG. Detailed description is omitted.

  When the terminal 101 accesses the server 201 by a user operation, the terminal 101 receives data such as a motion information prediction value generated in the server 201 via the network 301 and displays it on the web browser (display unit 104). Thereby, the user can browse exercise information predicted values related to unexecuted mountain climbing and the like, which can be useful for making exercise plans.

The server 201 is connected to the terminal 101 via the network 301 and includes a control unit 202, a storage unit 203, a display unit 204, an operation unit 205, and a communication unit 206.
The storage unit 203 stores map information, course information, exercise data, captured images, and captured information. Here, course information of a plurality of mountain climbing courses is stored, and past exercise data for each of the plurality of mountain climbing courses is stored (details will be described later).

  The server 201 is installed on, for example, a website that can share information related to mountain climbing. After climbing the mountain, the member of the site transmits data related to his / her climbing (exercise data, photographed image, photographed information, etc.) from his / her PC or the like to the server 201 for storage.

  Next, a flow of processing for calculating an exercise information prediction value in the exercise information prediction system 1000 will be described. In the following description of the flowchart of FIG. 11, repeated detailed description of processing steps similar to those in FIGS. 5 and 7 is omitted.

  As shown in FIG. 11, first, in step S <b> 301, the terminal 101 sends a course information transmission request to the server 201. Specifically, for example, when a user wants to perform a mountain climbing simulation, if a predetermined operation is performed on the operation unit 105 of the terminal 101, a request for transmitting course information on the mountain climbing course from the terminal 101 to the server 201 in step S301. Is transmitted.

  In step S302, the control unit 202 of the server 201 determines whether or not a request for transmitting course information of a mountain climbing course has been received from the terminal 101. If yes, the process proceeds to step S303, and if no, the process returns to step S302. .

  In step S <b> 303, the control unit 202 of the server 201 refers to the storage unit 203 and transmits course information of a plurality of mountain climbing courses to the terminal 101.

  In step S304, the control unit 102 of the terminal 101 determines whether or not the course information is received from the server 201. If Yes, the process proceeds to step S305, and if No, the process returns to step S304.

  Next, in step S <b> 305, the control unit 102 of the terminal 101 displays course information on a plurality of mountain climbing courses on the display unit 104.

  In step S306, the control unit 102 of the terminal 101 accepts a course selection by the user using the operation unit 105. Specifically, when the user performs an operation of selecting one desired course information from the course information of a plurality of climbing courses displayed on the display unit 104, the control unit 102 accepts a course selection using the operation unit 105.

Next, in step S307, the control unit 102 of the terminal 101 displays the selected course (see FIG. 2) on the display unit 104.
In step S308, the control unit 102 of the terminal 101 receives selection of a designated point (first position) and a mountain peak (second position) using the operation unit 105 by the user. Specifically, for example, these selections may be made by the user using the operation unit 105 based on the outline map of the course displayed on the display unit 104 or displayed on the display unit 104. You may perform using the operation part 105 based on the picked-up image in the middle of a course. The designated point may be a mountain climbing start point or a point in the middle of the course.

Next, in step S <b> 309, the control unit 102 of the terminal 101 receives selection of exercise data based on the calculation of the exercise information prediction value using the operation unit 105 by the user. Specifically, for example, the following exercise data is based on the following.
(A) Past exercise data (B) Exercise data of other members (other than users) related to the course

In the case of (A), for example, from the past one's own data, even if it is not the same course as the climbing course selected in step 306, the exercise data of other climbing courses with similar characteristics such as distance and slope are used. There may be.
In the case of (B), for example, an average value of exercise data of a plurality of members may be used. Alternatively, based on walking speed, age, gender, physique, etc., you may use the average value of exercise data of multiple members equivalent to you from among the level classifications, so that more accurate exercise information prediction value Can be calculated.

  Next, in step S <b> 310, the control unit 102 of the terminal 101 receives an instruction to calculate a motion information prediction value using the operation unit 105 by the user, and transmits the instruction to the server 201.

  Next, in step S311, the control unit 202 of the server 201 determines whether or not an instruction to calculate a motion information prediction value has been received from the terminal 101. If yes, the process proceeds to step S312; The process returns to S311.

In step S <b> 312 (similar to step S <b> 106 in FIG. 5), the control unit 202 of the server 201 calculates a motion information prediction value from the designated point to the summit.
Next, in step S <b> 313, the control unit 202 of the server 201 transmits the calculated exercise information prediction value to the terminal 101.

In step S314, the control unit 102 of the terminal 101 determines whether or not the exercise information prediction value is received from the server 201. If Yes, the process proceeds to step S315, and if No, the process returns to step S314.
In step S315 (similar to step S107 in FIG. 5), the control unit 102 of the terminal 101 displays the motion information prediction value on the display unit 104 (for example, the same display as in FIGS. 6 and 9).

  Thus, according to the exercise information prediction system 1000 of the third embodiment, the user browses the exercise information prediction value displayed on the display unit 104 of the terminal 101 in step S315, thereby exercising the exercise (for example, “XX”). Even if you are not at the site of "mountain"), you can know the exercise load from the designated point (first position) to the target point (second position. Can stand up. In addition, when other climbing courses are referred to in the exercise data of (A) above, or if the exercise data of (B) is used, the user can load the exercise even on the mountain that he has not climbed yet. Can know.

Further, by collecting climbing data of many climbers by the server 201, for example, by analyzing them and identifying popular climbing courses, such popular climbing course information is stored in the terminal 101. It can be provided to the user who uses it.
Further, by collectively managing information related to mountain climbing by the server 201, it is possible to easily cope with changes in map information and course information.

(Modification)
For example, in the first embodiment and the second embodiment, the motion information prediction value may be calculated and displayed in cooperation with the server as in the third embodiment instead of the mobile terminal 1 alone. That is, instead of using the motion data from the climbing start point to the current location, the server calculates the motion information predicted value on the server side using the motion data stored in the server (A) and (B), and the calculated motion The information prediction value may be displayed on the display unit 7 of the mobile terminal 1.

In the case of mountain climbing, the target point (second position) is not limited to a feature point such as a peak or peak, and may be an arbitrary point in the course.
The application scene is not limited to mountain climbing, but may be another scene as long as the course can be specified in advance, such as running, sightseeing, and walking. In that case, in the case of a flat course, a motion information prediction value from the current position to the target point may be synthesized and displayed on a satellite photograph or an aerial photograph.

In the first embodiment and the second embodiment, a watch-type device may be used as the mobile terminal 1.
In FIG. 9, the motion information prediction values for both the summit and the peak are displayed as target points, but only one selected by the user may be displayed.

  Further, in the third embodiment, when using the “(B) exercise data of other members related to the course”, for example, when calculating calorie consumption, the attribute information (gender, age, Correction may be performed based on the user's attribute information and the body weight, body fat percentage, and muscle mass.

In addition, the notification unit that informs the user of the predicted exercise information value is not limited to the display unit (the display unit 7 in FIG. 1 and the display unit 104 in FIG. 10), and may be an acoustic unit, for example.
The sound means includes sound devices such as a buzzer and a speaker, and generates sound information such as a predetermined tone color, sound pattern, and voice message, thereby notifying the user of information such as a predicted motion information value through hearing.
Further, the terminal 101 in FIG. 10 of the third embodiment may be a smartphone or a tablet terminal.

As mentioned above, although several embodiment of this invention was described, this invention is not limited to above-described embodiment, It includes the invention described in the claim, and its equivalent range.
Hereinafter, the invention described in the scope of claims of the present application will be appended.

(Appendix)
[Claim 1]
A storage unit for storing course information of an exercise course, and past exercise data in a part or all of the exercise course;
Using the course information and the exercise data, an exercise information prediction value that is a prediction value of exercise information when the user exercises from a predetermined first position to a predetermined second position in the exercise course is calculated. A control unit;
A motion information prediction apparatus comprising:
[Claim 2]
The storage unit stores map information,
The exercise information prediction apparatus according to claim 1, wherein the course information is at least one of latitude information, longitude information, and altitude information of the exercise course in the map information.
[Claim 3]
The exercise information prediction apparatus according to claim 1, wherein the exercise data is exercise data from an exercise start point in the current exercise of the user to the first position.
[Claim 4]
2. The exercise data is any one of the previous exercise data of the user in the exercise course and the past exercise data of a person other than the user in the exercise course. Or the exercise | movement information prediction apparatus of 2 description.
[Claim 5]
5. The information processing apparatus according to claim 1, further comprising a notification unit that notifies the user of the calculated exercise information prediction value, wherein the notification unit is a display unit that displays the exercise information prediction value. Exercise information prediction device.
[Claim 6]
An operation unit for receiving an operation by the user;
The motion information prediction apparatus according to claim 1, wherein the control unit determines the first position based on designation by the user using the operation unit.
[Claim 7]
The exercise information prediction apparatus according to claim 1, wherein the control unit determines the second position by designation using the operation unit by the user.
[Claim 8]
The camera further includes a photographing unit for photographing and generating an image,
The controller is
An image taken by the photographing unit is acquired together with photographing information of the image,
2. The image, the shooting information, and the course information are used to determine the shooting position as the first position and a feature point in the image as the second position. The exercise information prediction apparatus according to any one of 1 to 6.
[Claim 9]
9. The motion information prediction apparatus according to claim 8, wherein the photographing information is position information at the time of photographing, azimuth information in the photographing direction, and angle information of an elevation angle or depression angle.
[Claim 10]
The exercise information prediction apparatus according to claim 1, wherein the exercise information includes any of calorie consumption, required time, and number of steps.
[Claim 11]
An exercise information prediction program for causing a computer to function as the exercise information prediction apparatus according to any one of claims 1 to 10.
[Claim 12]
The information of the exercise information by the exercise information prediction device comprising: course information of the exercise course; and a storage unit that stores past exercise data in a part or all of the exercise course, a control unit, and a notification unit. A method of calculating a motion information predicted value that is a predicted value,
The control unit uses the course information and the exercise data, and exercise information that is a predicted value of exercise information when the user exercises from a predetermined first position to a predetermined second position in the exercise course. A method for calculating a predicted value of exercise information, characterized by calculating a predicted value.
[Claim 13]
A motion information prediction system comprising a terminal and a server connected via a network,
The terminal
An operation unit that accepts user operations;
An exercise course selected by the user from course information of a plurality of exercise courses received from the server by a user operation using the operation unit, a first position designated by the user in the selected exercise course, and A control unit for transmitting a second position to the server;
A receiving unit that receives a motion information prediction value that is a predicted value of motion information when the user exercises from the first position to the second position from the server;
With
The server
A storage unit for storing course information of the plurality of exercise courses and past exercise data for each of the plurality of exercise courses;
Based on the selected exercise course received from the terminal, the designated first position and second position, course information stored in the storage unit of the server, and exercise data of the selected exercise course Calculating a motion information prediction value when the user exercises from the first position to the second position, and transmitting the calculated motion information prediction value to the terminal;
A motion information prediction system characterized by comprising:

DESCRIPTION OF SYMBOLS 1 Mobile terminal 2 Control part 3 Memory | storage part 4 Image | photographing part 5 Communication part 6 GPS signal receiving part 7 Display part 8 Acceleration sensor 9 Direction sensor 10 Step count part 11 Operation part 101 Terminal 102 Control part 103 Storage part 104 Display part 105 Operation part DESCRIPTION OF SYMBOLS 106 Communication part 201 Server 202 Control part 203 Storage part 204 Display part 205 Operation part 206 Communication part 301 Network 1000 Motion information prediction system

Claims (13)

A storage unit for storing course information of an exercise course, and past exercise data in a part or all of the exercise course;
Using the course information and the exercise data, an exercise information prediction value that is a prediction value of exercise information when the user exercises from a predetermined first position to a predetermined second position in the exercise course is calculated. A control unit;
A motion information prediction apparatus comprising: The storage unit stores map information,
The exercise information prediction apparatus according to claim 1, wherein the course information is at least one of latitude information, longitude information, and altitude information of the exercise course in the map information.   The exercise information prediction apparatus according to claim 1, wherein the exercise data is exercise data from an exercise start point in the current exercise of the user to the first position.   2. The exercise data is any one of the previous exercise data of the user in the exercise course and the past exercise data of a person other than the user in the exercise course. Or the exercise | movement information prediction apparatus of 2 description. 5. The information processing apparatus according to claim 1, further comprising a notification unit that notifies the user of the calculated exercise information prediction value, wherein the notification unit is a display unit that displays the exercise information prediction value. Exercise information prediction device. An operation unit for receiving an operation by the user;
The motion information prediction apparatus according to claim 1, wherein the control unit determines the first position based on designation by the user using the operation unit. The exercise information prediction apparatus according to claim 1, wherein the control unit determines the second position by designation using the operation unit by the user. The camera further includes a photographing unit for photographing and generating an image,
The controller is
An image taken by the photographing unit is acquired together with photographing information of the image,
2. The image, the shooting information, and the course information are used to determine the shooting position as the first position and a feature point in the image as the second position. The exercise information prediction apparatus according to any one of 1 to 6.   9. The motion information prediction apparatus according to claim 8, wherein the photographing information is position information at the time of photographing, azimuth information in the photographing direction, and angle information of an elevation angle or depression angle.   The exercise information prediction apparatus according to claim 1, wherein the exercise information includes any of calorie consumption, required time, and number of steps.   An exercise information prediction program for causing a computer to function as the exercise information prediction apparatus according to any one of claims 1 to 10. The information of the exercise information by the exercise information prediction device comprising: course information of the exercise course; and a storage unit that stores past exercise data in a part or all of the exercise course, a control unit, and a notification unit. A method of calculating a motion information predicted value that is a predicted value,
The control unit uses the course information and the exercise data, and exercise information that is a predicted value of exercise information when the user exercises from a predetermined first position to a predetermined second position in the exercise course. A method for calculating a predicted value of exercise information, characterized by calculating a predicted value. A motion information prediction system comprising a terminal and a server connected via a network,
The terminal
An operation unit that accepts user operations;
An exercise course selected by the user from course information of a plurality of exercise courses received from the server by a user operation using the operation unit, a first position designated by the user in the selected exercise course, and A control unit for transmitting a second position to the server;
A receiving unit that receives a motion information prediction value that is a predicted value of motion information when the user exercises from the first position to the second position from the server;
With
The server
A storage unit for storing course information of the plurality of exercise courses and past exercise data for each of the plurality of exercise courses;
Based on the selected exercise course received from the terminal, the designated first position and second position, course information stored in the storage unit of the server, and exercise data of the selected exercise course Calculating a motion information prediction value when the user exercises from the first position to the second position, and transmitting the calculated motion information prediction value to the terminal;
A motion information prediction system characterized by comprising: