JP6500369B2 - Exercise information prediction apparatus, exercise information prediction program, exercise information prediction value calculation method, and exercise information prediction system - Google Patents

Description

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

  Conventionally, techniques for collecting exercise data (e.g., heart rate, average moving speed, etc.) by a movement analysis device and presenting exercise data up to the present time to a user are well known, for example, in mountain climbing and running. For example, Patent Document 1 relates to an exercise performance monitoring system, in which a technique for displaying exercise data (pedometer data, speedometer data, travel recorder data, etc.) about a running course and its position on a display screen during running It is disclosed.

JP 2012-524638 gazette

  However, in the prior art, before or on the way of exercise (climbing, running, etc.), it was not possible to make an appropriate judgment regarding the exercise to be performed from now on. If such an appropriate judgment can be made, the user can appropriately determine the action plan thereafter, which is convenient.

  Then, this invention is made in view of such a background, and makes it a subject to predict the exercise | movement information regarding the exercise | movement scheduled to be performed from now on before and in the middle of exercise | movement.

In order to solve the above-mentioned subject, one mode of the present invention is
A storage unit for storing exercise course course information and past exercise data of a part or all of the exercise course;
An imaging unit that takes an image and generates an image;
Using said track information and the motion data, calculates a predicted value is motion information prediction value of the motion information in the case of movement from the predetermined first position to a predetermined second position in Yu chromatography The said motion Course and a control unit for, a,
The control unit
Acquiring an image photographed by the photographing unit together with photographing information of the image;
Using the image, the shooting information, and the course information, a shooting position is set as the first position, and a feature point in the image is determined as the second position. It is a movement information prediction device.

  According to the present invention, it is possible to predict exercise information on an exercise to be performed from 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 a movement information predicted 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 an exercise | movement information predicted 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 of 3rd Embodiment, and a server. It is a flowchart which shows the flow of the process which calculates an exercise | movement information predicted value in 3rd Embodiment.

  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 by showing embodiments. In the following description, a case where a user of the exercise information prediction apparatus according to the present invention climbs a mountain will be described. In addition, a route that the user is to pass in mountain climbing is determined in advance (a branch or the like may exist), and this route is referred to as a "mountain climbing course" or a "course".

First Embodiment
In the first embodiment, the user carrying the mobile terminal uses the mobile terminal to move information (calories consumed, required time) from the current position (first position) to the summit (second position) using the mobile terminal. The case of predicting one of the number of steps) will be described.

  As shown in FIG. 1, the mobile terminal 1 (exercise information prediction apparatus) is, for example, a smartphone or a tablet terminal, and receives a control unit 2, a storage unit 3, an imaging unit 4, a communication unit 5, a GPS (Global Positioning System) signal A display unit 7, an acceleration sensor 8, a direction sensor 9, a step counting unit 10 and an operation unit 11 are provided. Although the portable terminal 1 also includes a time-counting circuit having an oscillator for generating a basic clock, and an operation power supply for supplying driving power to each component of the portable terminal 1, these are directly related to the technical features of the present invention. There is no relation between them, so illustrations and detailed explanations are omitted. The photographing unit 4 and the direction sensor 9 are not essential components in the first embodiment, but are components used in the second embodiment, but will be described in the first embodiment for the sake of convenience.

  The control unit 2 controls the entire portable terminal 1 and is, for example, composed of a CPU (Central Processing Unit) and a memory, and is stored in the storage unit 3 based on an operation clock generated in a clock circuit (not shown). Execute a predetermined control program. Thereby, the control unit 2 controls various operations such as calculation of motion information prediction value, sensing operation in the GPS signal receiving unit 6, acceleration sensor 8, direction sensor 9, display on the display unit 7, and the like.

  The storage unit 3 is a means for storing each of the illustrated information and the like, and is configured by, for example, a random access memory (RAM) or a read only memory (ROM). The storage unit 3 also stores an exercise information prediction program (control program) for causing a computer (including a portable terminal such as a smart phone) to function as an exercise information prediction device. A part or all of the storage unit 3 may have a form as a removable storage medium such as a memory card, for example, and may be configured to be removable from the portable terminal 1.

Next, each piece of information stored in the storage unit 3 will be described.
The map information is information of a map including a mountain climbing course (exercise course). For example, like the Google Maps map service (registered trademark) provided by Google (registered trademark) on the Internet, available on the Internet It may be possible map data, or may be commercially available map data in the form of a map disc.

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 portable 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).

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

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

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

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

  The photographing unit 4 is means for photographing and generating an image according to an operation by the user on the operation unit 11. 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 and receiving various data with an external apparatus such as a base station. For example, in the mobile terminal 1, the control unit 2 can obtain the latest map information from the external device via the communication unit 5 and store the latest map information in the storage unit 3. Here, as a method of transmitting and receiving data between the portable terminal 1 and the above 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 by using the Doppler shift effect of the radio wave from the GPS satellite, and outputs it as speed data. The velocity data may be calculated based on the position data and the elapsed time described above. The GPS information including the position data and the velocity data is stored in the storage unit 3 in association with the acquired (calculated) date and time data.

  The display unit 7 (notification unit) is a means for displaying an image, characters, figures, etc. 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 Display panel.

  The acceleration sensor 8 is a means for measuring the acceleration in each direction of the three axes of the portable terminal 1, detects the rate of change of the operating speed (acceleration) of the user carrying the portable terminal 1 during exercise, and uses it as acceleration data. Output. The acceleration data may be, for example, acceleration of movement of the mobile terminal 1 as complementary information of GPS information, velocity (time integration of acceleration), displacement (time integration of velocity) information, and step counting by the step counting unit 10 Used for

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

The step counting section 10 is a means for counting the number of steps of the user of the portable terminal 1, and counts the number of steps based on, for example, acceleration data acquired by the acceleration sensor 8.
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 pre-decided mountain climber's walking path from the mountain climbing start point at the foot of the mountain to the mountain peak is a mountain climbing course. In the first embodiment, movement information from the current position to the peak is predicted based on movement data from the mountain climbing start point to the current position.

  Next, an example of exercise data will be described. As shown in FIG. 3, the movement data stored in the storage unit 3 of FIG. 1 is the position information (latitude, longitude, altitude (altitude)) linked to the mountain climbing start point and the position linked to the current location. Information (latitude, longitude, altitude (altitude)), distance from the mountain climbing start point, calories consumed, time required, number of steps, and location information (latitude, longitude, altitude (altitude)) linked to the mountain top, It is.

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

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

  Also, the calorie consumption c (kcal) from the mountain climbing start point to the current position, the required time d (minutes), and the number of steps e (steps) 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 and the movement distance. The required time d (minute) can be calculated by the difference between the time at the mountain climbing start point and the time at the current position. Further, the number of steps e (steps) is obtained by the step count data of the step counting unit 10.

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

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

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

Next, the flow of the process of calculating the motion information prediction value in the portable terminal 1 will be described.
As shown in FIG. 5 (see also FIGS. 1 to 4 as appropriate), the control unit 2 of the portable terminal 1 determines whether or not the user has started climbing (step S101), and in the case of Yes to step S102. The process proceeds to step S101 if NO. In step S101, specifically, the control unit 2 may determine that the user has started mountain climbing by the user performing an operation to start mountain climbing by the operation unit 11, or the storage unit 3 The determination may be made by detecting that the portable terminal 1 has come to a mountain climbing start point designated in advance by the GPS information stored in.

  In step S102, the control unit 2 acquires position information of the current position 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 course information of the storage unit 3 to obtain position information of the current position of the user (mobile terminal 1). get.

  Next, in step S103, the control unit 2 acquires (calculates) exercise data (see FIGS. 1 and 3) from the mountain climbing start point to the current position, and stores the exercise data in the storage unit 3.

  In step S104, the control unit 2 determines whether or not there is an instruction to calculate a motion information predicted value by the operation of the user using the operation unit 11. If Yes, the process proceeds to step S105, and if No, the process proceeds to step S102. Return. Specifically, when the user performs an operation for calculating the motion information prediction value using the operation unit 11 at a point where he wants to know the motion information prediction value on the course, the control unit is displayed in step S104. In step 2, it is determined that there is an instruction to calculate the motion information predicted value.

  The repeated processing of No in steps S102 to S104 is performed, for example, at intervals of several milliseconds to several seconds.

  In step S105, the control unit 2 uses the map information and the course information of the storage unit 3 to acquire position information of the summit which 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 the motion information predicted value from the current location to the mountaintop by the equations (1) to (3) using the algorithm as described with reference to FIG. 4.

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

  A part or all of the GPS signal receiving unit 6, the acceleration sensor 8, the direction sensor 9, and the step counting unit 10 in the portable terminal 1 may be realized as a dedicated device different from the portable terminal 1. In that case, the portable terminal 1 and its dedicated device may be made communicable by Bluetooth (registered trademark), Wi-Fi (registered trademark) or the like.

Second Embodiment
Next, a second embodiment will be described. In the second embodiment, compared with the first embodiment, the target point (second position) is not determined in advance, and the user becomes a target point in the middle of the mountain climbing course using the photographing unit 4 of the portable terminal 1 It is different in that a scene including a portion to be photographed is photographed, a target spot such as a mountain peak or a peak is detected from the photographed image, and a motion information prediction value from the photographing spot to the detected spot is calculated and displayed. In the description of the flowchart of FIG. 7 below, detailed description of the same processing steps as those of FIG. 5 will be omitted.

  As shown in FIG. 7 (see also FIGS. 1 to 4 as appropriate), the control unit 2 of the portable terminal 1 determines whether the user has started climbing (step S201, similar to step S101 of FIG. 5) In the case of Yes, the process proceeds to step S202, and in the case of 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) exercise data from the climbing start point to the current position (see FIG. 3).

  In step S204, the control unit 2 determines whether or not there is an instruction to calculate the motion information predicted value by the operation of the user using the operation unit 11 together with the image capturing using the imaging unit 4 and in the case of Yes The process advances to step S205, and if No, the process returns to step S202. Specifically, the user operates the operation unit 11 to perform photographing by the photographing unit 4 at a point where the user wanted to know the predicted value of the motion information up to the target point during the course, and the operation unit 11 was used. 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 together 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 photographing information in the storage unit 3. Specifically, the control unit 2 acquires from the GPS information of the storage unit 3 the positional information when the photographing by the photographing unit 4 was performed by the user, the azimuth information of the imaging direction, and the angle information of 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 peaks and peaks using the captured image. Specifically, in the detection of the mountain top and the peak, for example, the control unit 2 performs image processing such as edge detection processing (such as ridge line detection processing) on the captured image to detect a feature point.

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

  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 peak and peak (see FIG. 4).

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

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

In the display area 73, an overview of a 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, the 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 present location to the summit, and the motion information prediction value (calories consumed, required time, number of steps) are displayed.
In the display area 76, the altitude of the peak, the distance from the present position to the peak, and the motion information prediction value (calories consumed, required time, number of steps) are displayed.

  The user can see the display to know the load of mountain climbing up to the peak and the peak, and can appropriately determine the subsequent action plan, such as whether to set the target point to the peak or the peak.

Third Embodiment
Next, a third embodiment will be described. The third embodiment is a motion information prediction system 1000 configured to include a terminal 101 and a server 201 connected via a network. The exercise information prediction system 1000 enables the user to simulate climbing by operating the terminal 101 at home, for example.

  As shown in FIG. 10, the terminal 101 is an apparatus capable of transmitting and receiving data to and from the server 201 via the network 301, and is, for example, a notebook or desktop PC (Personal Computer). And 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, and a mouse. 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 of FIG. Detailed explanation is omitted.

  The terminal 101 accesses the server 201 by the operation of the user, receives data such as the exercise information predicted value generated in the server 201 via the network 301, and displays the data on the web browser (display unit 104). Thereby, the user can browse exercise information prediction values and the like regarding unexecuted mountain climbing, and can be useful for drafting an exercise plan.

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, a photographed image, and photographing information. Here, course information of a plurality of climbing courses is stored, and past exercise data for each of the plurality of climbing courses is stored (details will be described later).

  The server 201 is installed on, for example, a website that can share information on mountain climbing. After climbing the mountain, the members of the site transmit data (exercise data, photographed image, photographed information, etc.) about their mountain climbing to the server 201 from their own PC etc. and store them.

  Next, the flow of the process of calculating the motion information prediction value in the motion information prediction system 1000 will be described. In the description of the flowchart of FIG. 11 below, detailed description of the same processing steps as those in FIGS. 5 and 7 will be omitted.

  As shown in FIG. 11, first, in step S301, the terminal 101 requests the server 201 to transmit course information. Specifically, for example, when the user wants to simulate mountain climbing, when the user performs a predetermined operation on the operation unit 105 of the terminal 101, in step S301, the terminal 101 requests the server 201 to transmit course information of the mountain climbing course. Signal is transmitted.

  In step S302, the control unit 202 of the server 201 determines whether or not a transmission request for 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 course information has been 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 S305, the control unit 102 of the terminal 101 displays course information of a plurality of mountain climbing courses on the display unit 104.

  In step S306, the control unit 102 of the terminal 101 receives a course selection using the operation unit 105 by the user. Specifically, when the user performs an operation of selecting one desired course information from among course information of a plurality of mountain climbing courses displayed on display unit 104, control unit in step S306 A step 102 accepts the 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 the selection of the designated point (first position) and the summit (second position) by the user using the operation unit 105. Specifically, for example, these selections may be made by the user using the operation unit 105 based on the overview of the course displayed on the display unit 104, or displayed on the display unit 104. You may carry out using the operation part 105 based on the picked-up image in the middle of the course. Also, the designated point may be a climbing start point or a point on the course.

Next, in step S309, the control unit 102 of the terminal 101 receives the selection of exercise data to be the basis of calculation of the exercise information predicted value using the operation unit 105 by the user. Specifically, here, for example, the following exercise data is available.
(A) Past own exercise data (B) Exercise data of other members (persons other than users) regarding the course

In the case of (A), for example, even if it is not the same course as the mountain climbing course selected in the step 306 among the past data, exercise data of other mountain climbing courses having similar characteristics such as distance and inclination. It 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, sex, physical constitution, etc., the average value of exercise data of a plurality of members equivalent to oneself may be used from among the level classified, and in that case, the more accurate exercise information predicted value Can be calculated.

  Next, in step S310, the control unit 102 of the terminal 101 receives an instruction of calculation of a motion information predicted 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, and if No, the step It returns to S311.

In step S312 (similar to step S106 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 S313, the control unit 202 of the server 201 transmits the calculated motion 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 has been 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).

  As described above, 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 to perform an exercise (for example, “○○ You can know the exercise load from the designated point (the first position) to the target point (the second position. If you are climbing a mountain, etc.) even if you are not on the mountain's site, appropriate exercise planning You can In addition, when referring to other climbing courses in the exercise data of (A) above, or using the exercise data of (B), the user can exercise the load even for mountains that he has not climbed yet You can know

Also, by collecting mountain climbing data of many mountain climbers by the server 201, for example, they are analyzed to identify a popular mountain climbing course, etc., and such popular mountain climbing course information as the terminal 101. It can be provided to the user who uses it.
In addition, by collectively managing information on 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 exercise information prediction value may be calculated and displayed in cooperation with the server as in the third embodiment, not the portable terminal 1 alone. That is, instead of using exercise data from the mountain climbing start point to the current position, the exercise information predicted value is calculated on the server side using the exercise data of (A) and (B) stored in the server, and the calculated exercise The information prediction value may be displayed on the display unit 7 of the mobile terminal 1.

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

In the first and second embodiments, a wristwatch type device may be used as the portable terminal 1.
Further, although in FIG. 9 the motion information prediction values for both the summit and the peak are displayed as the target points, only one selected by the user may be displayed.

  Also, in the third embodiment, when using the above “(B) exercise data of other members regarding the course”, for example, when calculating the consumed calories, attribute information (sex, age, Correction may be performed based on body weight, body fat percentage, muscle mass, etc.) and user attribute information.

Further, the notification unit for notifying the user of the motion information predicted 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, for example, an acoustic means.
The sound means has sound equipment such as a buzzer and a speaker, and generates sound information such as a predetermined tone color, a sound pattern, and a voice message to notify the user of information such as a motion information prediction value to the user through hearing.
The terminal 101 in FIG. 10 of the third embodiment may be a smartphone, a tablet terminal, or the like.

Although some embodiments of the present invention have been described above, the present invention is not limited to the above-described embodiments, but includes the invention described in the claims and the scope of equivalents thereof.
In the following, the invention described in the original claims of the present application is appended.

(Supplementary note)
[Claim 1]
A storage unit for storing exercise course course information and past exercise data of a part or all of the exercise course;
Using the course information and the exercise data, calculate an exercise information predicted value which is a predicted value of exercise information when the user exercises from a predetermined first position on the exercise course to a predetermined second position. A control unit,
An exercise 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 the latitude information, the longitude information, and the altitude information of the exercise course in the map information.
[Claim 3]
The exercise information prediction apparatus according to claim 1 or 2, wherein the exercise data is data of exercise from the exercise start point to the first position in the current exercise of the user.
[Claim 4]
The exercise data is any one of data of previous exercise of the user on the exercise course and data of past exercise of persons other than the user on the exercise course. Or 2 exercise | movement information prediction apparatuses.
[Claim 5]
5. The information processing apparatus according to any one of claims 1 to 4, further comprising: a notification unit that notifies the user of the calculated motion information prediction value, the notification unit being a display unit that displays the motion information prediction value. Motion information prediction device.
[Claim 6]
It further comprises an operation unit for receiving an operation by the user,
The exercise information prediction apparatus according to any one of claims 1 to 5, wherein the control unit determines the first position by designation by the user using the operation unit.
[Claim 7]
The exercise information prediction apparatus according to any one of claims 1 to 6, wherein the control unit determines the second position by designation by the user using the operation unit.
[Claim 8]
It further comprises a photographing unit for photographing and generating an image,
The control unit
Acquiring an image photographed by the photographing unit together with photographing information of the image;
Using the image, the imaging information, and the course information, the imaging position is set as the first position, and a feature point in the image is determined as the second position. The exercise information prediction apparatus according to any one of the above 6.
[Claim 9]
The exercise information prediction apparatus according to claim 8, wherein the imaging information is position information at the time of imaging, azimuth information of an imaging direction, and angle information of an elevation angle or a depression angle.
[Claim 10]
The exercise information prediction apparatus according to any one of claims 1 to 9, wherein the exercise information includes any of a consumed calorie, a required time, and a number of steps.
[Claim 11]
A motion information prediction program for causing a computer to function as the motion information prediction device according to any one of claims 1 to 10.
[Claim 12]
An exercise information prediction apparatus comprising: a storage unit for storing exercise course course information and past exercise data in part or all of the exercise course, a control unit, and a notification unit It is a calculation method of the motion information predicted value which is a predicted value, and
The control unit, using the course information and the exercise data, exercise information which is a predicted value of exercise information when the user exercises from a predetermined first position on the exercise course to a predetermined second position A method of calculating a motion information prediction value, comprising calculating a prediction value.
[Claim 13]
A motion information prediction system comprising a terminal and a server connected via a network, comprising:
The terminal is
An operation unit that receives an operation by a user;
An exercise course selected by the user from among course information of a plurality of exercise courses received from the server by a user operation using the operation unit, a first position specified 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, from the server, a motion information prediction value that is a prediction value of motion information when the user moves from the first position to the second position;
Equipped with
The server is
A storage unit that stores 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, the designated first position and second position, and course information stored in the storage unit of the server and exercise data of the selected exercise course received from the terminal. A control unit that calculates a motion information prediction value when the user moves from the first position to the second position, and transmits the calculated motion information prediction value to the terminal;
A motion information prediction system comprising:

Reference Signs List 1 portable terminal 2 control unit 3 storage unit 4 imaging unit 5 communication unit 6 GPS signal reception unit 7 display unit 8 acceleration sensor 9 azimuth sensor 10 step number count unit 11 operation unit 101 terminal 102 control unit 103 storage unit 104 display unit 105 operation unit 106 communication unit 201 server 202 control unit 203 storage unit 204 display unit 205 operation unit 206 communication unit 301 network 1000 motion information prediction system

Claims (12)

A storage unit for storing exercise course course information and past exercise data of a part or all of the exercise course;
An imaging unit that takes an image and generates an image;
Using said track information and the motion data, calculates a predicted value is motion information prediction value of the motion information in the case of movement from the predetermined first position to a predetermined second position in Yu chromatography The said motion Course and a control unit for, a,
The control unit
Acquiring an image photographed by the photographing unit together with photographing information of the image;
Using the image, the shooting information, and the course information, a shooting position is set as the first position, and a feature point in the image is determined as the second position. Motion information prediction device. The storage unit stores map information,
The exercise information prediction apparatus according to claim 1, wherein the course information is at least one of the latitude information, the longitude information, and the altitude information of the exercise course in the map information.   The exercise information prediction apparatus according to claim 1 or 2, wherein the exercise data is data of exercise from the exercise start point to the first position in the current exercise of the user.   The exercise data is any one of data of previous exercise of the user on the exercise course and data of past exercise of persons other than the user on the exercise course. Or 2 exercise | movement information prediction apparatuses. 5. The information processing apparatus according to any one of claims 1 to 4, further comprising: a notification unit that notifies the user of the calculated motion information prediction value, the notification unit being a display unit that displays the motion information prediction value. Motion information prediction device. It further comprises an operation unit for receiving an operation by the user,
The exercise information prediction apparatus according to any one of claims 1 to 5, wherein the control unit determines the first position by designation by the user using the operation unit. The exercise information prediction apparatus according to claim 6 , wherein the control unit determines the second position by designation by the user using the operation unit. The motion information prediction apparatus according to any one of claims 1 to 7, wherein the imaging information is position information at the time of imaging, azimuth information of an imaging direction, and angle information of an elevation angle or a depression angle. The exercise information prediction apparatus according to any one of claims 1 to 8 , wherein the exercise information includes any of a consumed calorie, a required time, and a number of steps. Motion information prediction program for a computer to function as the motion information prediction apparatus according to any one of claims 1 to 9. Exercise information provided with a storage unit that stores exercise course course information and past exercise data of a part or all of the exercise course, a control unit, and a photographing unit that photographs and generates an image It is a calculation method of the motion information predicted value which is a predicted value of motion information by a prediction device,
The control unit
Acquiring an image photographed by the photographing unit together with photographing information of the image;
Using the image, the imaging information, and the course information, the imaging position is determined to be a first position, and the feature point in the image is determined to be a second position.
Using said track information and the motion data, calculates a predicted value is motion information prediction value of the motion information in the case of movement from the predetermined first position to a predetermined second position in Yu chromatography The said motion Course The calculation method of the movement information predicted value characterized by doing. A motion information prediction system comprising a terminal and a server connected via a network, comprising:
The terminal is
An imaging unit that takes an image and generates an image;
A transmitter configured to transmit an image generated by the imaging unit to the server;
Equipped with
The server is
Course information of the exercise course, and, a storage unit for storing a past motion data before Kiun dynamic course,
Acquiring an image captured by the imaging unit from a terminal together with imaging information of the image;
Using the image, the imaging information, and the course information, the imaging position is determined to be a first position, and the feature point in the image is determined to be a second position.
Using the course information and the exercise data, an exercise information prediction value, which is a predicted value of exercise information when the user exercises from a predetermined first position on the exercise course to a predetermined second position, is calculated. A control unit that transmits the calculated motion information prediction value to the terminal;
Equipped with
The terminal further includes a receiving unit that receives the motion information prediction value transmitted by the control unit of the server.
A motion information prediction system characterized by