JP2017199318A - Online training server device, online training method and online training program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an online training server device, an online training method and an online training program that can reduce a burden for a trainer and perform effective training to a user.SOLUTION: An online training cloud server 111 comprises a video and audio storage unit 202 that stores a video file to be distributed as content and a plurality of audio files corresponding to the video file, and a main control unit 223 that selects the video file and one audio file of the plurality of audio files as the content for training from the video and audio storage unit 202. The main control unit 223 selects, in selection of the content, one piece of audio data of the plurality of pieces of audio data corresponding to the video data, according to user's acquisition level of training based on each reproduction frequency of a plurality of pieces of audio data reproduced by the user.SELECTED DRAWING: Figure 19

Description

  The present disclosure relates to an online training server device, an online training method, and an online training method in which a training menu suitable for each user is created and provided online, and the user performs training by playing content provided as the training menu. The present invention relates to a training program, and more particularly to a technique for providing video data and audio data for training more suitable for a user.

  2. Description of the Related Art Conventionally, a moving image display system for performing a lesson by a virtual instructor online via the Internet has been developed (see, for example, Patent Document 1).

JP 2009-95404 A

  However, in the above-described conventional moving image display system, there are cases where a heavy burden is placed on the trainer due to advice and response to questions to a large number of users.

  Therefore, if a typical sentence is prepared in advance for advice and answers to questions, the burden on the trainer can be reduced. However, this makes the user bored and the motivation of the user performing the training is reduced, making it difficult to obtain a high training effect.

  The present disclosure provides an on-line training server device, an on-line training method, and an on-line training program that can reduce the burden on a trainer and allow a user to perform effective training.

  In order to solve the above-described problem, one aspect of an online training server device is an online training server device for a user to perform training while playing training content online, and the video to be distributed as the content A storage unit storing data and a plurality of audio data corresponding to the video data, and selecting the video data and one of the plurality of audio data as the training content from the storage unit The control unit corresponds to the video data in accordance with the training level of the user based on the number of times each of the plurality of audio data reproduced by the user in the selection of the content. One voice data is selected from the plurality of voice data. To.

  In order to solve the above problem, one aspect of the online training method is an online training method for supporting a user to perform training while playing training content online, and the video to be distributed as the content A storage step of storing data and a plurality of audio data corresponding to the video data, and a control step of selecting the video data and one of the plurality of audio data as the training content. In the selection of the content, the control step includes the plurality of audio data corresponding to the video data according to the training level of the user based on the number of reproductions of each of the plurality of audio data reproduced by the user. Select one audio data from That.

  In order to solve the above problem, one aspect of an online training program causes a computer to execute an online training method.

  According to the present disclosure, it is possible to reduce the burden on the trainer and to perform effective training for the user.

It is a figure which shows the whole image of the service which an online training system provides. It is a figure which shows the example in which an apparatus maker corresponds to a data center operating company. It is a figure which shows the example in which both or one of an apparatus manufacturer and a management company corresponds to a data center operating company. It is a block diagram which shows an example of a structure of an online fitness system. It is a figure which shows an example which showed member information typically. It is a figure which shows an example of the new member information registration screen where a user registers member information. It is a figure which shows an example which showed content metadata information typically. It is a figure which shows an example which showed audio | voice metadata information typically. It is a figure which shows an example of the video audio | voice registration screen for a trainer to register a video file and an audio | voice file. It is a figure which shows an example of the audio | voice registration screen for a trainer to register an audio | voice file. It is a figure which shows an example which showed typically the personal training menu which the training menu memory | storage part hold | maintains. It is a figure which shows an example of the screen in which a trainer inputs personal training. It is a figure which shows an example of the screen in which a trainer inputs personal training. It is a figure which shows an example of the screen which a user implements a personal training menu. It is a figure which shows an example of the screen which a user implements a personal training menu. It is a figure of an example which showed the composition information of a store program typically. It is a figure of an example which showed schedule information of a store program typically. It is a figure of an example which showed store history information typically. It is a figure which shows an example of the screen of a shop history management site. It is a figure which shows an example of the screen of a shop history management site. It is a figure which shows an example which showed the training history typically. It is a figure which shows an example which showed the training history typically. It is a figure which shows an example which showed the training history typically. It is a flowchart which shows an example of the data registration procedure at the time of video / audio registration. It is a flowchart which shows an example of the data registration procedure at the time of a voice registration instruction | indication. It is a flowchart which shows an example of the procedure which delivers the video file and audio | voice file at the time of the instruction | indication which reproduces | regenerates a content. It is a flowchart which shows an example of the procedure which determines audio | voice ID. It is a flowchart which shows an example of the procedure which determines a user's audio | voice ID which the audio | voice delivery control part performs in the modification of FIG. It is a flowchart which shows an example of the procedure which acquires the acquisition level with respect to audio | voice ID. It is a flowchart which shows an example of the procedure different from FIG. 21 of the procedure which acquires the acquisition level with respect to audio | voice ID in the modification of FIG. It is a flowchart which shows an example of the procedure different from FIG. 21, FIG. 22 of the acquisition procedure of the learning level with respect to audio | voice ID in the modification of FIG. It is a flowchart which shows an example of the procedure in which an audio | voice file is automatically registered into a video / audio storage part. It is a figure which shows the whole image of the service which the online coaching system in the service type 1 (in-house data center type cloud service) provides. It is a figure which shows the whole image of the service which the online coaching system provides in the service type 2 (IaaS use type cloud service). It is a figure which shows the whole image of the service which the online coaching system provides in the service type 3 (PaaS use type cloud service). It is a figure which shows the whole image of the service which the online coaching system provides in the service type 4 (SaaS use type cloud service).

(Knowledge that became the basis of the present invention)
2. Description of the Related Art In recent years, online training systems have been developed in which trainers present training menus via the Internet for users who cannot frequently visit stores, and users perform training presented on the training menus at home or the like. In this online training system, a trainer creates a training menu suitable for each user and notifies the user of this. And a user reproduces | regenerates the content notified as a training menu in the convenient time slot | zone, and implements training. Here, training refers not only to exercise such as fitness, rehabilitation, and sports training, but also to instruction on device handling and learning of a cram school.

  In general online training, in order to be effective and continue online training for users, it is known how to compare the exercise load level of training with the physical fitness level of the user and give instructions and encouragement according to this difference. It has been.

  In such a training menu, when training is not performed correctly, the effect of training is smaller than when training is performed correctly. In order to perform training correctly, there are a number of points to keep in mind (contents of instruction) such as posture, breathing method, and position of the center of gravity.

  In such online training, a sample video by the trainer and commentary audio that is a point of attention by the trainer synchronized with the sample video are provided to the user, but the number of points to be communicated to the user within the content playback time is limited. It is not possible to convey all points to be noted.

  In addition, when a user conducts training in a store, the trainer can see the user's training status in real time, so the trainer is most suitable for the user among many points to keep training right Points to note can be provided. However, in the online training system, there is a problem that it is difficult to provide an appropriate point of attention according to the user's training situation because the trainer cannot see the user's training situation in real time.

  For this reason, it is necessary not only to give an instruction according to the difference between the exercise load level of training and the physical fitness level of the user, but also to provide appropriate points to be noted according to the training situation of the user. There is a desire to obtain a high training effect by providing all these points of attention and performing correct training. There have been no studies on technical solutions to meet these demands.

  In order to solve such a problem, a server device for online training for a user to perform training while playing content for training online, corresponding to the video data to be distributed as the content and the video data A storage unit storing a plurality of audio data, and a control unit for selecting the video data and one audio data among the plurality of audio data as the training content from the storage unit. Yes. In the selection of the content, the control unit is configured to select the plurality of audio corresponding to the video data according to the training level of the user based on the number of times each of the plurality of audio data reproduced by the user. One audio data is selected from the data.

  According to this configuration, the control unit selects one piece of sound data from among the plurality of pieces of sound data in accordance with the user's mastery based on the number of times of reproduction of the plurality of pieces of sound data. For this reason, even when the user performs the same training, the user can listen to the voice data including different points to be noted, so that the response to the user performed by the trainer is reduced and correct training can be performed. For this reason, a higher training effect can be obtained.

  Therefore, the burden on the trainer can be reduced and the user can be effectively trained.

  If video data and audio data are stored in the storage unit, it is possible to reduce the man-hours for producing video data and audio data used in online training.

  Further, by continuing the training using the online training server device, a higher training effect can be obtained.

  In addition, the online training method is an online training method that supports a user to perform training while playing back training content online, and includes video data distributed as the content and a plurality of video data corresponding to the video data. And a control step of selecting the video data and one of the plurality of audio data as the training content from the storage unit. In the selection of the content, the control step includes: selecting the content of the plurality of audio data corresponding to the video data according to the user's training proficiency based on the number of reproductions of each of the plurality of audio data reproduced by the user. Select one audio data from the list.

  This method has the same effect.

  In this online training program, the computer executes an online training method.

  This program has the same effect.

  In this online training server device, the learning level is a value determined by the number of times the audio data reproduced by the user is reproduced depending on one selected audio data in order for the user to acquire training. It is calculated by dividing by the acquired number of times of learning.

  According to this configuration, since the number of acquisitions and acquisitions according to the audio data is set, the user can perform training while confirming his / her level of acquisition. For this reason, the user can acquire training reliably.

  In this online training server device, the learning level is calculated by adding the number of times the user has visited the store and received the training directly from the trainer to the number of times the audio data reproduced by the user has been reproduced. In order for the user to acquire training, the calculated value is divided by the acquired number of times of reproduction, which is a value determined depending on the selected one audio data.

  According to this configuration, online training and in-store training are also added to the number of acquisitions and the learning level is calculated, so that it is easy to match the user's usage environment. Moreover, since such a learning level is automatically calculated, it is possible for the store side to reduce the work to be added to the number of times of learning and learning. Therefore, the online training server device is highly convenient.

  Further, in this online training server device, the plurality of audio data corresponding to the video data are natural number N of audio data ordered in advance. Further, the control unit determines whether or not the learning level of the natural number M-th speech data having a value equal to or less than N is less than a certain value, and the learning level of the M-th speech data is less than the certain value. If M + 1> N, the first audio data is selected when the Mth audio data is selected, the learning level of the Mth audio data is greater than or equal to the predetermined value, and M + 1> N. When the learning level of the 1st audio data is equal to or greater than the predetermined value and M + 1 ≦ N, it is determined whether or not the learning level of the M + 1th audio data is less than the predetermined value.

  According to this configuration, by associating a large number of points of attention for correctly performing training with a single video data as a plurality of pieces of audio data, even when the user performs the same training, the user listens to different points of attention as sounds. be able to. It is possible to acquire the user's learning level for each audio data, determine the first audio data whose learning level is less than a certain value, and automatically distribute the determined audio data together with the video data.

  In the online training server device, the control unit selects the audio data having the lowest learning level from the plurality of audio data corresponding to the video data.

  According to this configuration, the acquisition level of the user is acquired for each audio data, the audio data having the lowest acquisition level is determined from the audio data whose acquisition level is less than a certain value, and the audio data determined together with the video data Can be delivered automatically.

  In the online training server device, the control unit further determines whether or not a user attribute that is information about the user satisfies a target attribute that is information about a trainer targeted at a predetermined user. When the user attribute satisfies the target attribute, the user attribute satisfies the target attribute and the learning level is determined to be less than a predetermined value, and one audio data is determined. If the target attribute is not satisfied, one piece of voice data is determined from the N pieces of voice data.

  According to this configuration, it is possible to determine one audio data from the audio data ordered in advance and automatically distribute the determined audio data together with the video data.

  In the online training server device, the storage unit stores a history of training performed by the user who performed the training. The control unit determines from the history whether or not the period of the previously performed training and the currently performed training is within a certain period, and if the period is not within the certain period, the audio of the previously performed training Select data.

  According to this configuration, after the audio data is reproduced, when the second reproduction is performed after a certain period of time, the user forgets the first content and cannot be learned by the second reproduction. there is a possibility. For this reason, if a certain period of time has passed, the user can perform training correctly because he / she selects the sound data of the training performed last time.

  In the online training server device, the control unit determines whether or not the obtained reproduction time of the video data matches the reproduction time of the selected one of the audio data. When the playback time of the video data is different from the playback time of the audio data, the playback time of the audio data is changed to be equal to the playback time of the video data.

  According to this configuration, since the reproduction time of the audio data is changed so as to be equal to the reproduction time of the video data even if the reproduction time of the video data and the reproduction time of the audio data are different, the user can perform training without a sense of incongruity. It can be performed.

  Note that each of the embodiments described below shows a specific example of the present invention. Numerical values, shapes, components, steps, order of steps and the like shown in the following embodiments are merely examples, and are not intended to limit the present invention. In addition, among the constituent elements in the following embodiments, constituent elements that are not described in the independent claims indicating the highest concept are described as optional constituent elements. In all the embodiments, the contents can be combined.

(Overview of services provided)
First, an overview of services provided by the online training system in the present embodiment will be described with reference to FIGS. 1A, 1B, and 1C.

  FIG. 1A is a diagram showing an overview of services provided by an online training system. FIG. 1B is a diagram illustrating an example in which a device manufacturer corresponds to a data center operating company. FIG. 1C is a diagram illustrating an example in which both or one of the device manufacturer and the management company corresponds to the data center operating company.

  As shown in FIG. 1A, the online training system includes a coaching group 100, a data center operating company 110, and a user group 120. One or more coaching groups 100 exist. One or more user groups 120 also exist.

  The coaching group 100 is, for example, a company such as a fitness club, a group, or a private business, and may be of any size. One or more trainers 101 belong to the coaching group 100. The trainer 101 owns one or more trainer devices 102. The trainer device 102 includes a device that can be connected to the Internet (for example, a smartphone, a tablet, a personal computer (PC), a television, or the like). The trainer device 102 itself may be unable to connect to the Internet, and may include a device that can connect to the Internet via a home gateway (not shown).

  The user group 120 is, for example, a company, an organization, or a home, and may be of any size. One or more users 121 belong to the user group 120.

  The user 121 owns one or more user devices 122. The user device 122 includes a device (for example, a smartphone, a tablet, a personal computer (PC), a television, or the like) that can be connected to the Internet.

  The data center operating company 110 includes a cloud server 111 (an example of a server device). The cloud server 111 is a virtualization server that cooperates with various devices via the Internet. The cloud server 111 mainly manages huge data (big data) that is difficult to handle with a normal database management tool or the like. The data center operating company 110 performs management of data, management of the cloud server 111, operation of the data center that performs them, and the like. Details of services performed by the data center operating company 110 will be described later.

  Note that the server managed by the data center operating company 110 is not limited to a virtualization server, and may be a computer that physically includes an external storage device such as a CPU, memory, HDD, or a personal computer.

  Here, the data center operating company 110 is not limited to a company that only manages data or the cloud server 111. For example, as shown in FIG. 1B, when a device manufacturer that develops or manufactures one of a plurality of devices performs data management or cloud server 111 management, the device manufacturer This corresponds to the data center operating company 110. The data center operating company 110 is not limited to one company. For example, as shown in FIG. 1C, when the device manufacturer and the management company jointly or share the management of the data or the cloud server 111, both or one of them corresponds to the data center operating company 110. .

  Next, transmission of information in the above online training system will be described.

  First, the trainer 101 uses the trainer device 102 to register a video file (an example of video data) and an audio file (an example of video defile), which are contents used by the user for training, in the cloud server 111 (arrows). 134). The contents referred to in the present embodiment are video data and audio data recorded and recorded by a trainer in a studio or the like, which is composed of a video that does not include audio and audio corresponding to this video, and is a cloud server 111 is a moving image data distributed from 111. The video referred to in this embodiment is a moving image itself that records the movement of the trainer 101, and is a moving image that does not include sound. In addition, the sound referred to in the present embodiment is the sound of the trainer 101 that is recorded at the same time when video is recorded.

  Next, the user 121 performs initial registration from the cloud server 111 of the data center operating company 110 using the user device 122 before acquiring the content. The user device 122 acquires a later-described new member information registration screen for performing initial registration from the cloud server 111 and displays the new member information registration screen on the user device 122 (arrow 131). The user 121 inputs member information on the new member information registration screen. Member information input by the user 121 on the user device 122 is managed on the cloud server (arrow 132). It is assumed that registration of member information is performed at the time of joining the online training service.

  Next, in order to create a training menu, the trainer 101 uses the trainer device 102 to obtain a registration screen for inputting to the cloud server 111 of the data center operating company 110 and member information input by the user 121. (Arrow 133). That is, the trainer device 102 displays the registration screen and the member information input by the user 121 on the trainer device 102 (arrow 133). The trainer 101 refers to the member information of the user 121 from the trainer device 102 and performs an operation for creating a training menu suitable for the user 121. Member information input by the trainer 101 on the trainer device 102 is managed on the cloud server 111 (arrow 134).

  Next, the user 121 acquires a training menu from the cloud server 111 of the data center operating company 110 using the user device 122, and displays an application screen on the user device 122 (arrow 131). The user 121 displays the personal training menu input by the trainer 101 on the user device 122, selects content to be played back from the presented training menu, and instructs playback (viewing) (arrow 132).

  When the user 121 instructs the reproduction of the content, the cloud server 111 acquires a video file and an audio file necessary for the reproduction of the instructed content, and distributes them to the user device 122 (arrow 131). The user device 122 is in a state where content can be reproduced.

  When the user 121 reproduces the content, the reproduced history is transmitted to the cloud server 111 (arrow 132). In addition, you may preserve | save in the cloud server the log | history which the user 121 accessed to the cloud server in order to utilize this online training service, the operation log | history operated on the application, etc. (arrow 132).

(Embodiment)
The present embodiment relates to a technique for providing attention points suitable for a user as an audio file when the user reproduces the content of a training menu in an online fitness service.

  A server device, an online training method, and an online training program used in the online training system in the present embodiment will be described.

  FIG. 2 is a block diagram showing an example of the configuration of the online fitness system.

  As shown in FIG. 2, the online fitness system is used for registering video files and audio files as the content of the cloud server 111 and training menu for managing member information and content, and inputting a training menu for each user. A trainer device 102 mainly used by the trainer and a user device 122 mainly used by the user for referring to the training menu created by the trainer and playing back the content.

  The cloud server 111 includes a member information storage unit 201, a video / audio storage unit 202 (an example of a storage unit), a content meta storage unit 203, an audio meta storage unit 204, a store history storage unit 205, a training menu storage unit 206, and a training history storage. Unit 207, store program information storage unit 208, video / audio registration control unit 209 (an example of a control unit), video / audio distribution control unit 210 (an example of a control unit), moving image distribution unit 220, screen information storage unit 221, and communication unit 222 And a main control unit 223 (an example of a control unit).

  The member information storage unit 201 manages member information of members who are enrolled in the online fitness service. The video / audio storage unit 202 manages video files and audio files of content distributed as a training menu. The content metadata storage unit 203 manages metadata and video metadata of each training content. The audio meta storage unit 204 manages audio metadata of content. The store history storage unit 205 manages a training history (training history) in a store where each user performs a fitness gym or the like. The training menu storage unit 206 manages a personal training menu list 501 (described later) created for each user. The training history storage unit 207 manages the results of user training according to the personal training menu list 501. The store program information storage unit 208 manages the schedule information of the store program that the fitness gym is implementing in the store and the configuration information of the store program. The video / audio registration control unit 209 controls registration of video files and audio files of content distributed as training. The audio / video distribution control unit 210 determines an audio file to be distributed together with the video file when distributing the moving image of the training menu, and performs control for distributing the video file and the audio file as a moving image. The moving image distribution unit 220 distributes content to the user device 122. The screen information storage unit 221 manages screen information for creating an application screen and a website screen to be displayed on the trainer device 102 used by the trainer 101 and the user device 122 used by the user 121. The communication unit 222 communicates with the trainer device 102 that is a trainer terminal and the user device 122 that is a member terminal. The main control unit 223 receives input from the audio / video distribution control unit 210, the trainer device 102, and the user device 122, and receives a member information storage unit 201, an audio / video storage unit 202, a content meta storage unit 203, an audio meta storage unit 204, Data is transferred to the store history storage unit 205, training menu storage unit 206, training history storage unit 207, store program information storage unit 208, and a screen corresponding to the input is created and the trainer device 102, user via the communication unit 222 To the device 122.

  The trainer device 102 and the user device 122 may acquire and display an application screen created by the main control unit 223 of the cloud server 111, a website screen, or an HTML file for generating the screen. Since the trainer device 102 and the user device 122 can be realized by general-purpose devices such as a TV, a PC, a tablet, a smartphone, and a mobile phone having a communication function and a browser function, detailed description thereof is omitted.

  FIG. 3 is a diagram schematically showing member information.

  As shown in FIG. 3, the member information list 301 is held by the member information storage unit. The member information list 301 includes a “user ID” for identifying a plurality of users. The user basic information includes “user name”, user “birth date”, user “sex”, and user “member type”. In addition, these items in the member information list 301 are examples, and are not limited to these items.

  There are users who perform online fitness services (directly receiving guidance from the trainer of the store) while attending a store where a fitness gym is performed, and users who perform online fitness without going to the store. Here, “online” is applied as a member type to a user who does not go to the store, and a member type used in the store such as “regular” or “premium” is applied as a member type of the user who goes to the store. In addition, the basic information of the user may include “store identification” indicating which store the user who goes to the store goes to. The items on the first line in FIG. 3 and the second line corresponding to the items are information on one user. In the example of FIG. 3, information on users for five persons is managed.

  FIG. 4 is a diagram illustrating an example of a new member information registration screen in which a user registers member information.

  As shown in FIGS. 2 and 4, the new member information registration screen 302 is held by the screen information storage unit 221. The new member information registration screen 302 is an initial registration screen for the user to perform initial registration, and includes an input frame for inputting member information. In this embodiment, as the member information, “user name”, user “birth date”, user “sex”, user “member type”, and “store identification” that the user goes to are managed. It includes an input frame for entering the information. Note that these items on the new member information registration screen 302 are examples and are not limited to these items.

  In the present embodiment, the user inputs member information when joining an online fitness service. A user who goes to a store also joins an online fitness service when joining the store.

  When the user joins the online fitness service, the user accesses the cloud server 111 using the user device 122 in order to input member information. For example, the online fitness website for users managed by the cloud server 111 is accessed, and the new member information registration screen 302 is accessed. Specifically, the main control unit 223 of the cloud server 111 detects access to the new member information registration screen 302, acquires an HTML file necessary for creating a screen from the screen information storage unit 221, and newly acquires the HTML file. A member information registration screen 302 is created and transmitted to the user device 122 via the communication unit 222. Then, the user device 122 displays the new member information registration screen 302 using a browser or the like.

  The user uses the keyboard, software keyboard, numeric keypad, mouse, and the like provided in the user device 122 to display “user name”, “birth date”, “gender”, “member type” on the new member information registration screen 302. , “Store identification” is input, and the registration button 303 is pressed. Then, the user's member information such as the input “user name”, “birth date”, “gender”, “member type”, “store identification” is controlled from the user device 122 via the network 300 and the communication unit 222. Transmitted to the unit 223.

  When “online” is selected as the member type, the “store identification” information may not be input or may be input, and the input member information may not be registered in the member information list 301.

  The main control unit 223 refers to the member information list 301 managed in the member information storage unit 201, assigns a “user ID” that is not used, and “user ID”, “user name”, “birth date” “Day”, “Gender”, “Member type”, and “Store identification” are added to the member information storage unit 201.

  When the registration button 303 is pressed, the script of the new member information registration screen 302 is called, and the member information list 301 input on the new member information registration screen 302 of the user device 122 is the member information storage unit 201 which is a database of the cloud server. Since the procedure stored in is a general technique of cloud services, detailed description is omitted.

  As for member information registration of a user who goes to the store, the trainer 101 may register the user member information using the trainer device 102 when joining the store.

  FIG. 5 is an example schematically showing content metadata information.

  In the present embodiment, the trainer creates a training menu by combining one or more training contents. In other words, the training menu is composed of one or more training contents. When the user executes the training menu, the training content serving as a model for training is reproduced. There are one video file and a plurality of audio files as components of the training content. When the content is reproduced, an audio file suitable for the user is selected, and the video file and the selected audio file are reproduced to the user as a moving image. As components of the training content, one video and one selected audio, that is, a video file and an audio file have a one-to-one correspondence. In the present embodiment, the content metadata information includes metadata regarding training content and metadata regarding video files.

  As shown in FIGS. 2 and 5, the content metadata information 320 is held by the content metadata storage unit 203. The content metadata information 320 includes “video ID”, “title”, “reproduction time”, “genre”, and “enhanced part” for identifying a video file. Note that these items in the content metadata information 320 are examples and are not limited to these items.

  “Genre” is information on training characteristics indicating the type of exercise as information for the trainer to refer to when creating a training menu. “Strengthening site” is information on a training characteristic indicating which part of the body is to be trained. Note that the training characteristics are not limited to these. For example, in order to reproduce and train training content, the “skill level” indicating the level of skill desired by the user, or the “luck strength” indicating the level of physical strength desired by the user. Or the like.

  The item on the first line in FIG. 5 and the second line corresponding to this item are one piece of content metadata information, and there are as many pieces of metadata information as the number of training contents that can be distributed.

  FIG. 6 is an example schematically showing audio metadata information.

  In the present embodiment, the training menu is composed of one or more contents. As content components, there are one video file and one or more audio files. When a user reproduces content for training, it is necessary to select an audio file in which attention points suitable for the user are recorded from one or more audio files. For this reason, the audio metadata information includes information for specifying the corresponding video file and information for selecting an audio file in which attention points suitable for the user are recorded.

  As shown in FIGS. 2 and 6, the audio metadata information 330 is held in the audio metadata storage unit 204. The audio metadata information 330 includes “audio ID”, “corresponding video ID”, “recording date / time”, “recording store”, “studio identification”, “program identification”, “trainer identification”, “acquired playback count”, “ "Target attribute" is included. Note that these items in the audio metadata information 330 are examples and are not limited thereto.

  “Audio ID” is an identifier for identifying an audio file. The “corresponding video ID” is an identifier that identifies the video file corresponding to the audio file. “Recording date and time” is information indicating the date and time when the sound was recorded. “Recording store” is information indicating a store in which voice is recorded. “Studio identification” is information indicating a studio in which sound is recorded. “Program identification” is information indicating a training program recorded when the program is executed. “Trainer identification” is information indicating which trainer has uttered, that is, information indicating the trainer who was in charge of “program identification”. The “acquired playback count” is information that indicates the number of playbacks required to acquire the points to be noted, which are determined depending on one selected audio data in order for the user to acquire training and are explained in speech. is there. The “acquired playback count” can be arbitrarily set by the trainer. The “target attribute” is information indicating what kind of user's (user attribute) points to be noted are points to be noted described in the voice. In the present embodiment, the “target attribute” uses the age of the user, but is not limited to this, and may be, for example, gender or exercise purpose.

  A “target attribute” value of “30's” indicates that it is a caution point suitable for users from 30 to 39 years old. Further, the value of the target attribute “all members” indicates a point to be noted suitable for all users.

  In this embodiment, in order to reduce the number of man-hours for producing video files and audio files used in online training, video files and audio files are recorded by recording (recording and recording) a training program being performed in the studio or gym area of the store. Assumed to be used as. In addition, it is also assumed that only the audio recording of the points to be noted by the trainer is performed and used as an audio file. Here, the video file is recorded video data and indicates a silent video file that does not include an audio element. Here, the audio file is recorded audio data and indicates a file that does not include a video element.

  The training program performed at the store is composed of a plurality of trainings performed by the trainer. In other words, the training program is divided into individual trainings in the online training. The training performed by the trainer in the present embodiment is an operation for recording and recording by the trainer in a studio or the like and a sound accompanying the operation. Further, the same training program is executed at a plurality of stores, or is executed at the same store a plurality of times at the same or different date and time. At that time, since the trainer to be instructed differs depending on the store and the date and time, points to be noted during the training program also change.

  In the present embodiment, for the same training program, video and audio (audio recorded for the first time) are captured using a video camera or the like only for the first time. Since the points to be noted during the program differ depending on the trainer, only the sound is recorded with respect to points to be noted that are different from the sound that was recorded the first time (the second and subsequent recordings are only recorded), By associating this audio file with a file, a plurality of audio files are managed for one video file.

  FIG. 7A is a diagram illustrating an example of a video / audio registration screen for the trainer to register a video file and an audio file. FIG. 7B is a diagram illustrating an example of a voice registration screen on which the trainer registers a voice file. The video / audio registration screen is a screen on which a video file and an audio file recorded by the trainer can be registered.

  In the present embodiment, when a moving image is provided to a user as training content, the training (video and audio) performed by the trainer is created using a video camera or the like to create the content. Since audio data is also present at the time of photographing, both the video file and the audio file are registered. Thereafter, when recording the audio corresponding to the video file, only the audio is recorded and registered in association with the already registered video file.

  As shown in FIG. 2 and FIG. 7A, the video / audio registration screen 401 has an input frame for inputting a “moving image file name” that is the name of a captured content (moving image file), and a search for the content. And a search button 402. First, when the trainer presses the search button 402, the content arranged in the trainer device 102 or the cloud server 111 can be browsed, and by specifying the content from there, an input frame of “video file name” is displayed. The specified “movie file name” is input. The procedure of browsing and specifying content in the terminal or on the network is a general Web function, and thus description thereof is omitted here.

  The video / audio registration screen 401 is stored in the screen information storage unit 221. The video / audio registration screen 401 is a screen for managing “title”, “genre”, and “enhanced part” as content metadata information, and includes an input frame for inputting these pieces of information. Moreover, since “recording store”, “studio identification”, “program identification”, “trainer identification”, “number of mastered reproductions”, and “target attribute” are managed as the audio metadata information 330, these information are input. Includes an input frame for The video / audio registration screen 401 includes a video / audio registration button 403 for instructing registration of the video file and the audio file. Note that these items on the video / audio registration screen 401 are merely examples and are not limited to these.

  When the video / audio registration button 403 is pressed after information is input to all input frames of the video / audio registration screen 401, the main control unit 223 registers the video file and the audio file in the video / audio storage unit 202, and The control unit 223 registers the content metadata information in the content metadata storage unit 203, and the main control unit 223 registers the audio metadata information 330 in the audio metadata storage unit 204. A detailed procedure will be described later using a flowchart.

  As shown in FIGS. 2 and 7B, the video / audio registration screen 401 is stored in the screen information storage unit 221. The audio registration screen 410 includes “corresponding video ID” as the audio metadata information 330. The “corresponding video ID” may be directly input by the trainer. Further, even if “corresponding video ID” and a paired title are acquired from the content meta storage unit 203 and displayed as a list, one “title” is selected from the “title” paired by the trainer. Good.

  The voice registration screen 410 includes an input frame for inputting a “voice file name” that is a file name of a voice file to be registered, and a search button 411 for starting a search for the voice file. This “speech file name” is the name of the sound file recorded with respect to points of caution different from the first sound file, because the points of caution generated during the program differ depending on the trainer.

  When the search button 411 is pressed, a file placed in the trainer device 102 or the cloud server 111 can be browsed, and by specifying “audio file name” from there, an input frame for “audio file name” is displayed. The specified “sound file name” is input. The procedure for browsing and specifying the “sound file name” in the trainer device 102 or on the network is a general Web function, and will not be described here.

  The audio registration screen 410 is a screen that manages “recording store”, “studio identification”, “program identification”, “trainer identification”, “number of mastered reproductions”, and “target attribute” as the audio metadata information 330. Yes, it includes an input frame for inputting these pieces of information. Also, a voice registration button 412 for instructing registration of a voice file is included. When the audio registration button 412 is pressed after information is input to all the input frames of the audio registration screen 410, the main control unit 223 registers the audio file in the video / audio storage unit 202, and the main control unit 223 inputs the audio meta data. Data information 330 is registered in the audio meta storage unit 204. A detailed procedure will be described later using a flowchart. Note that these items on the voice registration screen 410 are examples and are not limited to these.

  FIG. 8 is a diagram schematically showing a personal training menu.

  As shown in FIGS. 2 and 8, the personal training menu list 501 is held in the training menu storage unit 206. The personal training menu list 501 is a user-specific training menu that incorporates training so that the trainer is suitable for the user. The personal training menu list 501 includes “user ID”, “menu name”, and “video ID”. Note that these items in the personal training menu list 501 are examples and are not limited thereto.

  “User ID” identifies for which user the personal training menu list 501 is created. “Menu name” identifies the personal training menu list 501 or displays it to the user. “Performance period” designates the implementation period of the personal training menu list 501 for the user. “Video ID” is training content that constitutes the personal training menu list 501.

  The personal training menu list 501 includes personal training menus 502, 503, and 504 for individual users. The personal training menu 502 is a training menu for a user having a “user ID” of “AA0001”. The personal training menu 503 is a training menu for a user having a “user ID” of “AA0002”. The personal training menu 503 is a training menu for a user having a “user ID” of “AA0003”.

  9A and 9B are diagrams illustrating an example of a screen on which the trainer inputs a personal training menu. FIG. 9A shows an example of a user selection screen. FIG. 9B is a diagram illustrating an example of a personal training menu creation screen.

  In the present embodiment, the trainer creates and updates a personal training menu for a user who is enrolled in the online fitness service at regular intervals. The fixed time is a period arbitrarily determined by the trainer, and is, for example, a period of one week, two weeks, one month, three months, six months, one year, or the like. Since a plurality of users are enrolled in the online fitness service, the trainer selects one user from the plurality of users and then creates a personal training menu for the selected user.

  As shown in FIG. 2, the trainer accesses the cloud server 111 using the trainer device 102 in order to create a personal training menu. For example, the user selection screen 510 in FIG. 9A on the online fitness website for trainers managed by the cloud server 111 is accessed.

  As shown in FIGS. 2 and 9A, the main control unit 223 of the cloud server 111 detects access to the user selection screen 510, and acquires an HTML file necessary for creating a screen from the screen information storage unit 221. Then, the member information is acquired from the member information list 301 of the member information storage unit 201 for further display on the screen. Further, the main control unit 223 selects a personal training menu managed by the training menu storage unit 206 in order to identify a user for whom a personal training menu has not been created or a user whose personal training menu has not been updated for a certain period of time. The user selection screen 510 is generated by referring to it. The main control unit 223 transmits the generated user selection screen 510 to the trainer device 102 via the communication unit 222. The trainer device 102 displays the user selection screen 510 using a browser or the like.

  For displaying the user selection screen 510, the main control unit 223 obtains member information from the member information list 301 in the member information storage unit 201 by calling a script when the HTML file for generating the user selection screen 510 is initially started. To do. The main control unit 223 refers to the personal training menu managed by the training menu storage unit 206, and identifies a user for whom no personal training menu has been created or a user for whom personal training has not been updated for a certain period of time. Then, the main control unit 223 displays it separately from the user who has created the personal training menu. Since such a procedure is a general technique of Web services, detailed description is omitted.

  The user selection screen 510 displays a user list 513, a creation necessity mark 511 indicating whether or not a personal training menu needs to be created, and selection buttons 512 and 514 for selecting a user.

  The user list 513 includes, as member information acquired from the member information list 301 of the member information storage unit 201, information that the trainer refers to in order to create a personal training menu, “user ID”, “user name”, “Birth date”, “Gender”, “Membership type”, and “Store” are displayed. In addition, the trainer refers to the personal training menu managed by the training menu storage unit 206, and in order to confirm the user for whom the personal training menu has not been created, the creation shown on the left side of the “user ID” Look at the necessity mark 511. The creation necessity mark 511 is a user for whom a personal training menu has not been created or a personal training menu has not been created for a certain period of time after a user joins, and a user who should create a personal training menu. It means that. That is, the creation necessity mark 511 is a mark that allows the trainer to quickly determine that the training menu needs to be created.

  As shown in FIGS. 9A and 9B, the trainer presses a selection button 512 on the user selection screen 510 to transition to a user personal training menu creation screen 520 with a creation necessity mark 511.

  As shown in FIGS. 2 and 9B, the main control unit 223 of the cloud server 111 detects access to the personal training menu creation screen 520, and an HTML file necessary for creating a screen from the screen information storage unit 221. And the content metadata information 320 is acquired from the content metadata storage unit 203 for display on the screen, thereby generating a personal training menu creation screen 520. The main control unit 223 transmits the generated personal training menu creation screen 520 to the trainer device 102 via the communication unit 222. Then, the trainer device 102 displays a personal training menu creation screen 520 using a browser or the like.

  As shown in FIG. 2 and FIG. 9A, the trainer device 102 calls the script by pressing the selection button 512 on the user selection screen 510, calls the HTML file on the personal training menu creation screen 520, and at the initial startup of the HTML file. A script is called to acquire and display video metadata information. Since such a procedure is a general technique of Web services, detailed description is omitted.

  As shown in FIG. 9B, the personal training menu creation screen 520 presents the trainer with the menu name input frame 521 for inputting the “menu name” and the video information metadata acquired from the content meta storage unit 203 to the trainer. A content list 522 for registration and a registration button 523 for registering in the training menu storage unit 206 after creating the personal training menu are displayed. If the content does not fit on one screen, it may be displayed by a crawl operation.

  The content list 522 displays one content check column (one column at the right end in the content list 522) for each content in order to select (check) content as a personal training menu.

  The trainer inputs a menu name in the menu name input frame 521 using the keyboard or software keyboard of the trainer device 102. Then, the trainer selects one or more contents for training by clicking the mouse or touching the screen.

  When the trainer selects content on the personal training menu creation screen 520, a check mark 524 for presenting the selected content to the trainer is displayed. When the trainer presses the registration button 523 after selecting the content, the main control unit 223 displays, for example, “2016/3 /” which is one week from today as an implementation period as a personal training menu of a user whose “user ID” is “AA0002”. A value of 1 to 2016/3/7 ”is given. Further, the main control unit 223 sets the menu name that is the value of the menu name input frame 521 to “to a body that can move in one week”. Further, the main control unit 223 acquires the “video ID” from “the pigeon pose” with the check mark 524 and the “hero pose” with the check mark 525 in the title of the content list 522. As described above, the main control unit 223 registers the personal training menu including the “user ID”, “menu name”, “implementation period”, and “video ID” in the training menu storage unit 206.

  Through the above processing, a personal training menu 502 as shown in FIG. 8 is registered. The same applies to the personal training menus 503 and 504.

  In this embodiment, since the implementation period of the personal training menu is 1 week, “2016/3/1 to 2016/3/7”, which is one week from today, was given to the implementation period. For example, it may be 3 days or 1 month. The trainer may directly input the “implementation period”.

  In the present embodiment, the trainer creates a personal training menu at the time of new enrollment, and thereafter, the trainer updates the personal training menu regularly or irregularly.

  It should be noted that the trainer may arbitrarily update the personal training menu even when it is not a new enrollment and when a certain period has not elapsed since the personal menu was created. In this case, as shown in FIGS. 8 and 9A, a user who does not have the creation necessity mark 511, for example, a user list 513 with a user ID “AA0001” in the user list 513 is pressed, A transition is made to the personal training menu 502 of the user whose “user ID” is “AA0001”.

  Note that there is already a personal training menu except when creating the first personal training menu. Therefore, the main control unit 223 acquires the personal training menu 502 of the user whose “user ID” is “AA0001” from the training menu storage unit 206. The main control unit 223 sets “menu name” as the initial value of the training name, sets the content included in “title” as the initial value of the content list, and sets “menu name” and “title” as personal values. Displayed in the training menu 502.

  If it is not at the time of new enrollment, the user's training history already exists, so that the trainer can create a personal training menu while referring to the training history, the personal training screen 520 in FIG. The analysis result may be displayed.

  The user performs a personal training menu using the user equipment 122 after the trainer creates a personal training.

  10A and 10B are diagrams illustrating an example of a screen on which the user performs a personal training menu. FIG. 10A shows an example of a personal training screen. FIG. 10B shows an example of a content playback screen.

  As shown in FIGS. 1A and 10A, the user accesses the cloud server 111 using the user device 122 in order to reproduce the content specified in the personal training menu. For example, the personal training screen 530 of the online fitness website for users managed by the cloud server 111 is accessed. The personal training screen 530 is stored in the screen information storage unit 221.

  As shown in FIGS. 2 and 10A, at this time, the main control unit 223 detects access to the personal training screen 530, and an HTML file necessary for creating the personal training screen 530 from the screen information storage unit 216. And member information is obtained from the member information list 301 of the member information storage unit 201 for display on the personal training screen 530. Further, the main control unit 223 acquires a personal training menu corresponding to the user who has accessed the cloud server 111 from the personal training menu list 501 of the training menu storage unit 206 shown in FIG. The user is specified by inputting a “user ID” at the time of login.

  As shown in FIG. 8, for example, when accessing from a user whose “user ID” is “AA0002”, a personal training menu 503 whose “user ID” is “AA0002” is selected from the personal training menu list 501. get.

  Thereby, a personal training screen 530 shown in FIG. 10A is generated. The main control unit 223 transmits the generated personal training screen 530 to the user device 122 via the communication unit 222. 1 displays a personal training screen 530 using a browser or the like.

  When the HTML file for generating the personal training screen 530 is initially activated, the script is called to identify the accessed “user ID”, and obtain the personal training menu corresponding to the “user ID” from the training menu storage unit 206. To display. Since such a procedure is a general technique of Web services, detailed description is omitted.

  On the personal training screen 530, personal training information 531 and a playback button 532 and playback buttons 533 and 534 are displayed.

  The personal training information 531 is information for explaining the contents of the personal training menu to the user. The all playback button 532 is a button for instructing to continuously playback all the contents included in the personal training. The play buttons 533 and 534 are buttons for individually playing the contents. The play button 533 corresponds to the title of the pigeon pose, and the play button 534 corresponds to the title of the hero pose.

  In the personal training information 531, “menu name”, “implementation period”, and “title” are displayed as information acquired from the personal training menu 503. The “title” is acquired from the content metadata information 320 of FIG. 5 using the “video ID” acquired from the personal training menu 503 of FIG. 8 as a key.

  When the user presses the playback button 533 on the personal training screen 530, an HTML script is called, and a content playback instruction is given with “video ID” and “user ID” of the pigeon pose as arguments. The main control unit 223 of the cloud server 111 accepts the content reproduction instruction, and determines the “audio ID” that the video / audio distribution control unit 210 distributes together with the video file. The main control unit 223 instructs the moving image distribution unit 220 to distribute the video file corresponding to the “video ID” and the audio file corresponding to the “audio ID”. The moving image distribution unit 220 acquires the corresponding video file and audio file from the video / audio storage unit 202 and distributes them to the user device 122 as content via the communication unit 222. The user device 122 reproduces the distributed content using a browser function or a player function installed in the user device 122. The cloud server 111 distributes the content, and the user device 122 receives the content by the browser function or the player function and reproduces the content. Since such a procedure is a general technique of a Web service, description thereof is omitted.

  As shown in FIGS. 10A and 10B, the content playback screen 540 shows a state where the content corresponding to the all playback button 532 is played back on the full screen. The user can perform training even if the trainer is not nearby by making the same movement using the content being played as a model. Trick play such as stopping playback or fast-forwarding can be operated by a remote controller for a TV. Further, in a smartphone or PC, this trick play can be operated by a slide bar (not shown) on the screen. When the user instructs to stop the reproduction, the main control unit 223 instructs the moving image distribution unit 220 to stop the reproduction, thereby stopping the reproduction.

  FIG. 11 is an example diagram schematically illustrating the configuration information of the store program. The store program is a training program executed in the store. In general, the program execution time and the structure of the training program are determined in advance. Store programs include, for example, “Yoga Beginner”, “Yoga Intermediate”, “Muscle Training Beginner”, and “Muscle Training Intermediate”.

  Store program configuration information 701 is stored in the store program information storage unit 208. This configuration information 701 is information indicating from which training the training program executed in the store is configured. For example, the “Yoga Beginner” training program consists of “Form Up”, “Pigeon Pose”, “Hero Hero Pose”, “Standing Tree Pose”, and “Cool Down”. The training program is an example and is not limited thereto.

  The configuration information 701 includes “program identification”, “title”, “program execution time”, and “training execution time”. Note that these items in the configuration information 701 are examples and are not limited to these.

  “Program identification” is information for identifying a training program. “Title” is information for identifying the training that constitutes the training program. “Program execution time” is information indicating the time required for the training program. “Training execution time” is the time required for individual training, which is assigned to each training title. That is, the “program execution time” is equal to the sum of “training execution time” in “program identification”.

  Since one training program is composed of one or more trainings, one or more titles are linked to one program identification. For example, one piece of configuration information 702 whose “program identification” is “Muscle Training Intermediate” is composed of five trainings of “warm up”, “crunch”, “bench press”, “leg curl”, and “cool down”. Has been.

  In the present embodiment, it is assumed that, in the same store and the same trainer, individual training in the training program at the store and individual training in the training program for online training have the same contents. In addition, it is assumed that the training program performed in the store and the training program performed in the online training in the same store and the same trainer have the same content or a part of the same content.

  FIG. 12 is an example diagram schematically showing schedule information of a store program.

  As shown in FIGS. 2 and 12, the store program schedule information 710 is stored in the store program information storage unit 208. The schedule information 710 includes “store identification”, “studio identification”, “program identification”, “trainer identification”, “implementation day”, “start time”, and “end time”. Note that these items in the schedule information 710 are examples and are not limited thereto.

  “Store identification” is information indicating which store is used. “Studio identification” is information indicating which studio among a plurality of studios in the store is implemented. “Program identification” is information indicating a program to be executed. “Trainer identification” is information indicating a trainer in charge of the program. The “implementation day” is information indicating the day of the week to be implemented. “Start time” is information indicating the start time of the program. “End time” is information indicating the end time of the program.

  For example, from the schedule information 711 indicated by the alternate long and short dash line, the trainer “Tetsuya” has a schedule from “17:00” to “18:00” every week “Sunday” in the studio “B” in the store of “Umeda”. However, it can be seen that the “Muscle Training Intermediate” training program is being implemented.

  When training programs having the same configuration information 701 are executed at different stores or on different days, programs having the same training program identification are described repeatedly.

  In the present embodiment, the store training program repeats the same schedule every week and uses the implementation day of the week to identify the implementation date, but the implementation date designation method is not limited to this.

  FIG. 13 is a diagram schematically illustrating store history information.

  As shown in FIGS. 2 and 13, the store history information 730 is stored in the store history storage unit 205. The store history storage unit 205 manages, as store history information 730, the visit time to the store where the user trains, the exit time, and the history of the training program that participated at the visit.

  The store history information 730 includes “user ID”, “store identification”, “studio identification”, “program identification”, “trainer identification”, “implementation date”, “start time”, and “end time”. Note that these items in the store history information 730 are examples and are not limited to these.

  “User ID” is an identifier indicating a user. “Store identification” is information indicating the history of the user's store. “Studio identification” is information indicating a studio in which the participating training program is performed. “Program identification” is information indicating a training program that has participated. “Trainer identification” is information indicating a trainer who performs a training program that has participated. The “implementation date”, “start time”, and “end time” are information indicating the date and time from the start to the end of training.

  As the history when the user participates in the training program at the store, all the above-mentioned items are input.

  For example, in the store history information 730, a user whose “user ID” is “AA0002” visits a store in “Shinjuku” at the start time “9:30” on the implementation date “2016/2/20”, This indicates that the user has left the building at the end time “12:30”.

  Further, for example, in the next line of the store history information 730, the user whose “user ID” is “AA0002” starts from the start time “10:00” on the implementation date “2016/2/20” to the end time “11: It shows that he participated in the “Yoga Beginner” training program conducted by the trainer “Aiko” in Studio “A” until “00”.

  Among the items described above, “user ID”, “store identification”, “implementation date”, “start time”, and “end time” are input as the history of the user's visit and exit.

  FIG. 14A and FIG. 14B are diagrams illustrating an example of a store history management site screen. FIG. 14A is an example of the top screen of the store history management site. FIG. 14B is an example of a program reservation screen of the store history management site.

  As shown in FIG. 2, FIG. 14A, and FIG. 14B, the store history management site is stored in the screen information storage unit 221 and manages the history of training programs that the user has visited the store and participated in the store. Use for.

  When a user visits a store, the user performs visit registration, exit registration, and training program reservation registration using the user device 122 in order to register the visit history and the history of a training program that participated in the store. .

  As shown in FIGS. 2 and 14A, the user accesses the cloud server 111 using the user device 122 in order to use the store history management site. For example, the top screen 800 of the website of the store history management site managed by the cloud server 111 is accessed.

  The main control unit 223 of the cloud server 111 detects access to the top screen 800, acquires an HTML file necessary for creating the screen from the screen information storage unit 216, and further displays member information for display on the screen. Is acquired from the member information list 301 of the member information storage unit 201. The user is specified by inputting a “user ID” at the time of login.

  As a result, the top screen 800 is generated on the user device 122. The main control unit 223 transmits the generated personal training screen 530 to the user device 122 via the communication unit 222. Then, the user device 122 displays the top screen 800 using a browser or the like.

  The main control unit 223 identifies the accessed “user ID” from the script called at the initial startup of the HTML file for generating the top screen 800, and stores the “member type” and “ "Store" is acquired from the member information storage unit 201. Since such a procedure is a general technique of Web services, detailed description is omitted.

  FIG. 14A is a diagram illustrating an example of a top screen of a store history management site. FIG. 14B is a diagram showing an example of a program reservation screen displayed when the “Move program reservation screen” button is pressed on the top screen 800.

  As shown in FIG. 14A, the top screen 800 transitions to a visit button 801 for the user to register his / her visit information, an exit button 802 for the user to register his / her exit information, and a program reservation screen for the store. For example, a program reservation button 803 of a training program for performing the training. The top screen 800 includes a visit status display frame 804 for displaying the visit status of the user.

  In the visit status display frame 804 of the user, for example, information such as visit time and information on a training program being reserved may be displayed if the user is visiting, or information such as the last visit date may be displayed if the user is not visiting. Also, the current date and time may be displayed. Moreover, you may display the time to the reserved training program (not shown).

  As shown in FIG. 2, FIG. 14A and FIG. 14B, the program reservation management screen 810 has a program list 811 displaying a list of training programs to be executed on the day at the store where the user visits, reservation buttons 814 and 815, reservations And a button 816 for returning to the top screen. The program reservation management screen 810 is stored in the screen information storage unit 221. The store where the user is visiting can be acquired by referring to the store corresponding to the “user ID” from the member information list 301. Each row of the program list 811 is an individual training program. On the right side of each row, reservation buttons 814 and 815 or reserved buttons 813 are arranged. When the user has not reserved the training program, reservation buttons 814 and 815 are arranged on the right side of the program list 811. The user presses reservation buttons 814 and 815 to reserve the program.

  When the training program is reserved by the user, a reserved button 813 is arranged on the right side of the program list 811. In this case, the user cannot reserve a training program.

  When the user presses the button for returning to the top screen, the top screen 800 is displayed.

  When the user accesses the store history management site, the main control unit 223 of the cloud server 111 detects the access to the top screen 800 of the store history management site, and creates a screen from the screen information storage unit 221. The top screen 800 is generated by acquiring a necessary HTML file. The main control unit 223 transmits the generated top screen 800 to the user device 122 via the communication unit 222, and the user device 122 displays the top screen 800 using a browser or the like. The procedure for calling the HTML file of the top screen 800 and displaying the screen on the user device 122 is a general technique of Web services, and thus detailed description thereof is omitted.

  When the visit button 801 is pressed on the top screen 800, an HTML script is called, and an instruction to register a visit history (visit history registration instruction) is transmitted to the cloud server 111 with “user ID” as an argument.

  When there is a visit history registration instruction, the main control unit 223 of the cloud server 111 acquires “store identification” corresponding to the “user ID” for which the visit history registration instruction has been given by referring to the member information list 301. Get the day and time. Then, “user ID”, “store identification”, and “implementation date” are added to the items of the store history information 730 in FIG.

  On the other hand, when the exit button 802 is pressed on the top screen 800, an HTML script is called, and an instruction to register a history of exiting with the “user ID” as an argument (exit history registration instruction) is sent to the cloud server 111. Sent to.

  When there is an exit history registration instruction, the main control unit 223 of the cloud server 111 refers to the store history information 730 and today's visit history related to the “user ID”, that is, the “user ID” field includes the “user ID”. Stores in which the date of the day is entered in the column of “ID”, “implementation date”, the time of visit is entered in the column of “start time”, and “studio identification”, “program identification”, and “trainer identification” are blank History information 730 is acquired. Then, the current time is acquired, and the acquired current time is added to the “end time” of today's exit history.

  When the program reservation button 803 of the training program is pressed on the top screen 800, an HTML script is called, and the main control unit 223 of the cloud server 111 detects access to the program reservation management screen 810 of the store history management site. Then, an HTML file necessary for creating a screen is acquired from the screen information storage unit 221. Further, the main control unit 223 acquires the “user ID” instructed to create the program reservation management screen 810, the current date and time. Then, the main control unit 223 refers to the member information list 301 and acquires “store identification” corresponding to “user ID”. Then, the main control unit 223 refers to the schedule information 710 held in the store program information storage unit 208 and acquires information such as “store identification”, “implementation date”, “start time” from the schedule information 710. Thus, a program list 811 is generated. Then, a program reservation management screen 810 is generated. The main control unit 223 transmits the generated program reservation management screen 810 to the user device 122 via the communication unit 222. The user device 122 displays the program reservation management screen 810 using a browser or the like.

  When the reservation button 814 is pressed on the program reservation management screen 810, it is called an HTML script, “user ID”, “store identification” held, “studio identification” corresponding to the reservation button, “trainer identification” ”,“ Start time ”, and“ end time ”as arguments, an instruction to register the training program history (program history registration instruction) is transmitted to the cloud server 111.

  The main control unit 223 of the cloud server 111 acquires the current date when there is a program history registration instruction. Then, the main control unit 223 stores the acquired “user ID”, the instructed “user ID”, the acquired “store identification”, the instructed “store identification”, the instructed “studio identification” in the store history information 730. ”,“ Program identification ”instructed,“ Trainer identification ”instructed,“ Implementation date ”that is the date of acquisition,“ Start time ”that is instructed time, and“ End time ”that is instructed time The item is added to the store history information 730 as an item.

  As described above, the user's visit, exit, and participation in the training program at the store are added to the store history information 730.

  In the present embodiment, when the user presses a button on the top screen 800 and the program reservation management screen 810 of the store history management site, the visit history registration, the exit history registration, Although the history of participation in the training program has been registered, the history acquisition method is not limited to this. For example, the user holds a non-contact terminal for identifying the user, and the user passes near the reader of the non-contact terminal by installing a reader of the non-contact terminal at the entrance of the hall or the entrance of the studio. Thus, it is possible to acquire a history of automatically visiting, a history of leaving, and a training history in which a training program at a store has participated.

  15A, 15B, and 15C are examples schematically showing training histories. 15A is a training history of a user whose “user ID” is “AA0001”, a training history 902 of FIG. 15B is a training history of a user whose “user ID” is “AA0002”, and a training history 903 of FIG. 15C. Is a training history of a user whose “user ID” is “AA0003”.

  As shown in FIGS. 15A, 15B, and 15C, the training history storage unit 207 holds the training history 901, the training history 902, and the training history 903. The training history 901, the training history 902, and the training history 903 are “user ID” for identifying a user who has performed training and “content ID” indicating which content has been implemented among the contents specified in the personal training menu. “Title”, “Video ID” of the video file used for reproduction of the title, “Audio ID” of the audio file, “Implementation date” and “Implementation time” of the training. Since “title” and “video ID” correspond one-to-one, “title” or “video ID” may be omitted, or “implementation date” or “implementation time” may be omitted. Good. Further, the training history 901 may include a “menu name” and an “implementation period” for identifying the personal training menu (not shown).

  As shown in FIG. 2 and FIG. 10A, for example, when the user presses the play button 532 on the personal training screen 530, the main control unit 223 replays the training history after the training is performed. The main control unit 223 acquires the “title” of the content corresponding to the button, the “menu name” of the training, and the “implementation period”. In addition, the main control unit 223 acquires “video ID” and “audio ID” used for moving image content distribution, and further acquires “implementation date” and “implementation time” from the date and time when the play button 532 is pressed. Thus, management is performed by registering it in the training history storage unit 207 as a training history.

  FIG. 16 is a flowchart showing an example of a data registration procedure at the time of video / audio registration. FIG. 16 shows an example of a procedure in which a video file, an audio file, video metadata information, and audio metadata information 330 are registered in the cloud server when the trainer issues a video / audio registration instruction.

  As shown in FIG. 7A, when the trainer inputs all items on the video / audio registration screen 401 and presses the video / audio registration button 403, the script of the HTML file is called and input on the video / audio registration screen 401. The video / audio registration instruction of the moving image file designated by the moving image file name on the video / audio registration screen 401 is made using the value as an argument. Then, the flow of FIG. 16 is started.

  As shown in FIGS. 2, 5, 6, and 16, first, the video / audio registration control unit 209 receives a video / audio registration instruction from the main control unit 223, and receives content from the trainer device 102 via the communication unit 222. Is acquired (step S1001).

  Next, the video / audio registration control unit 209 transmits the arguments “title”, “genre”, “enhanced part”, “recording store”, “studio” from the trainer device 102 via the communication unit 222 and the main control unit 223. "Identification", "Program identification", "Trainer identification", "Learning playback count", and "Target attribute" are acquired (step S1002).

  Next, the video / audio registration control unit 209 analyzes the content acquired in step S1001 and acquires “reproduction time” (step S1003).

  Next, the video / audio registration control unit 209 analyzes the content acquired in step S1001 and acquires “recording date / time” which is the date / time when the audio was recorded (step S1004).

  Next, the video / audio registration control unit 209 refers to the content metadata information held in the content meta storage unit 203 and acquires an unused “video ID” (step S1005).

  Next, the video / audio registration control unit 209 refers to the audio metadata information 330 held in the audio meta storage unit 204 and acquires an “audio ID” that is not used (step S1006).

  Next, the video / audio registration control unit 209 determines the “video ID” acquired in step S1005, the “title”, “genre”, and “enhanced part” acquired in step S1002, and the “playback time” acquired in step S1003. It is additionally registered in the content metadata information held in the content metadata storage unit 203 (step S1007).

  Next, the video / audio registration control unit 209 associates the “video ID” acquired in step S1005 with the “corresponding video ID” of the audio file. The video / audio registration control unit 209 determines the “corresponding video ID”, the “audio ID” acquired in step S1006, the “recording date / time” acquired in step S1004, the “recording store” acquired in step S1002, and the “studio identification”. Then, the audio metadata information 330 is additionally registered in the audio meta storage unit 204 as “program identification”, “trainer identification”, the acquired reproduction count as “acquired reproduction count”, and “target attribute” (step S1008).

  Next, the video / audio registration control unit 209 acquires a video file in which video elements are extracted from the content acquired in step S1001. Here, when the acquired video file is different from the distribution format, for example, when the file encoding format, resolution, and bit rate are different, the video / audio registration control unit 209 encodes the video file into a format suitable for distribution. Then, the video file encoded in a format suitable for distribution is registered in the video / audio storage unit 202 (step S1009). It should be noted that the video file to be registered is associated with the content metadata registered in step S1007. For example, the video file name can be associated with “video ID”.

  Next, the video / audio registration control unit 209 acquires an audio file obtained by extracting audio elements from the moving image file acquired in step S1001. Here, when the acquired audio file is different from the distribution format, for example, when the file encoding format, sampling frequency, and bit rate are different, the video / audio registration control unit 209 encodes into a format suitable for distribution. Then, an audio file encoded in a format suitable for distribution is registered in the video / audio storage unit 202 (step S1010) (steps S1001 to S1010 are examples of storage steps). Note that the audio file to be registered is associated with the audio metadata registered in step S1008. For example, the voice file name can be associated by setting it as “voice ID”. Thus, this flow ends.

  FIG. 17 is a flowchart showing an example of a data registration procedure at the time of voice registration instruction. FIG. 17 shows an example of a procedure for registering an audio file and audio metadata information 330 in the cloud server when the trainer gives an audio registration instruction.

  As shown in FIG. 7B, when the trainer inputs all items on the voice registration screen 410 and presses the voice registration button 412, the script of the HTML file is called, and the value input on the voice registration screen 410 is displayed. A voice registration instruction for the voice file designated by the voice file name on the voice registration screen 410 is given as an argument. Then, the flow of FIG. 17 is started.

  As shown in FIGS. 2, 6, and 17, first, the video / audio registration control unit 209 receives an audio registration instruction from the main control unit 223 and acquires an audio file from the trainer device 102 via the communication unit 222. (Step S1101).

  Next, the video / audio registration control unit 209 transmits the arguments “corresponding video ID”, “recording store”, “studio identification”, “program identification” from the trainer device 102 via the communication unit 222 and the main control unit 223. , “Trainer identification”, “acquired playback count”, and “target attribute” are acquired (step S1102).

  Next, the video / audio registration control unit 209 analyzes the audio file acquired in step S1101 and acquires “reproduction time” (step S1103).

  Next, the video / audio registration control unit 209 analyzes the audio file acquired in step S1101 and acquires “recording date / time” which is the date / time when the audio was recorded (step S1104).

  Next, the video / audio registration control unit 209 refers to the audio metadata information 330 held by the audio meta storage unit 204 and acquires an “audio ID” that is not used (step S1105).

  Next, the video / audio registration control unit 209 refers to the content metadata managed by the content meta storage unit 203 and acquires the reproduction time of the “corresponding video ID” acquired in step S1102 (step S1106).

  Next, the video / audio registration control unit 209 acquires the “corresponding video ID” acquired in step S1105, the “audio ID” acquired in step S1105, the “recording date / time” acquired in step S1104, and the “recording date / time” acquired in step S1102. The audio metadata information 330 is additionally registered in the audio meta storage unit 204 as “recording store”, “studio identification”, “program identification”, “trainer identification”, “number of mastered reproductions”, and “target attribute” (step S1107). .

  Next, the video / audio registration control unit 209 determines whether or not the playback time of the video file related to the “corresponding video ID” acquired in Step S1106 is longer than the playback time of the audio file acquired in Step S1103 (Step S1103). S1108).

  If it is determined in step S1108 that the playback time of the video file related to “corresponding video ID” is longer than the playback time of the audio file acquired in step S1103, the determination result is YES and processing proceeds to step S1109.

  Next, in step S1109, the playback time is extended so that the playback time of the audio file acquired in step S1101 is equal to the playback time of the video file related to “corresponding video ID” (step S1109). For example, a silent section is inserted before, after, or both before and after the audio file so as to be equal to the reproduction time of “corresponding video ID”. Also, for example, re-encoding is performed so that the audio file is slowly reproduced, thereby extending the reproduction time.

  On the other hand, if the playback time of the video file related to “corresponding video ID” is shorter than the playback time of the audio file in step S1108, the determination result is NO and the process proceeds to step S1110. In this case, the video / audio registration control unit 209 determines whether or not the playback time of the video file related to the “corresponding video ID” acquired in step S1106 is shorter than the playback time of the audio file acquired in step S1103 (step S1110). ).

  Next, in step S1110, if the playback time of the video file related to “corresponding video ID” is shorter than the playback time of the audio file acquired in step S1103, the determination result is YES and processing proceeds to step S1111.

  Next, in step S1111, the playback time is shortened so that the playback time of the audio file acquired in step S1101 becomes equal to the playback time of the video file related to “corresponding video ID” (step S1111). For example, the audio file is deleted before, after, or both before and after the audio file so that the playback time of the “corresponding video ID” is equal. Also, for example, an audio file is played, a silent section or a section with a low volume is searched, and the section is deleted. Also, for example, the reproduction time is shortened by re-encoding so that the audio file is reproduced quickly. Further, for example, the reproduction time is shortened by combining the above-described processes.

  Next, the video / audio registration control unit 209 registers the audio file in the video / audio storage unit 202 when the process of step S1109 ends or when the process of step S1111 ends (step S1112). Here, when the audio file to be registered is different from the distribution format (for example, when the file encoding format, sampling frequency, and bit rate are different), the audio file is encoded into a format suitable for distribution. Then, an audio file encoded in a format suitable for distribution is registered in the video / audio storage unit 202. Note that the audio file to be registered is associated with the audio metadata registered in step S1107. For example, the voice file name is “voice ID” for association.

  On the other hand, in step S1110, if the playback time of the video file related to “corresponding video ID” is the same as the playback time of the audio file acquired in step S1103, the determination result is NO and the process proceeds to step S1112. When the playback time of the video file related to “corresponding video ID” is the same as the playback time of the audio file acquired in step S1103, it is not necessary to search for a silent section, delete a part of the audio file, encode, or the like. Therefore, the audio file registered in the video / audio storage unit 202 is associated with the audio metadata registered in step S1107. For example, the voice file name is associated with “voice ID” (step S1112) (steps S1101 to S1112 are examples of storage steps). Thus, this flow ends.

  FIG. 18 is a flowchart illustrating an example of a procedure for distributing a video file and an audio file at the time of an instruction to reproduce content. FIG. 18 shows an example of a procedure for delivering a video file and an audio file when the user instructs the reproduction of the content of the training menu.

  As shown in FIG. 10A, when the user presses the play buttons 533 and 534 on the personal training screen 530, the script of the HTML file is called, and the “video ID” and “user ID” instructed to play the content are displayed. As an argument, playback of content is instructed. Then, the flow of FIG. 18 is started.

  As shown in FIG. 2, FIG. 15A, FIG. 15B, FIG. 15C, and FIG. 18, first, the main control unit 223 receives an instruction to play back the content and receives an instruction from the trainer device 102 via the communication unit 222. “User ID” and “Video ID” are acquired (step S1201).

  Next, the main control unit 223 instructs the video / audio distribution control unit 210 to determine an audio file to be distributed together with the video file, and determines an “audio ID” (step S1202). Details of the procedure in which the audio / video distribution control unit 210 determines the “audio ID” will be described later with reference to FIG.

  Next, the main control unit 223 distributes content (moving image distribution) including the video file having the predetermined “video ID” and the audio file having the predetermined “audio ID” acquired in step S1202 to the moving image distribution unit 220. Instruct. The moving image distribution unit 220 distributes content including a video file corresponding to the instructed video ID and an audio file corresponding to the audio ID (step S1203). At this time, when it is necessary to distribute the video file and the audio file as a single content, the video file and the audio file are multiplexed, encoded into a format suitable for distribution, and then distributed.

  Next, the main control unit 223 updates the training history (step S1204). Specifically, the “user ID” specified by the argument, the “video ID” specified by the argument, the “title” corresponding to the “video ID”, the “voice ID” determined in step S1202, the training program The implementation date is added to the training history in the training history storage unit 207 as “implementation date” and the current time as “execution time”. Thus, this flow ends.

  FIG. 19 is a flowchart illustrating an example of a procedure for determining the user's “voice ID”.

  As shown in FIG. 2 and FIG. 19, first, the video / audio distribution control unit 210 acquires “user ID” and “video ID”, which are arguments of the playback instruction, in accordance with an instruction from the main control unit 223 (Step 1 S1301).

  Next, the video / audio distribution control unit 210 acquires the training history related to the “user ID” acquired in step S1301 from the training history managed by the training history storage unit 207 (step S1302). Note that a training history related to the “user ID” may be acquired from all the training histories, or a training history related to the “user ID” may be acquired from the training history for a certain period. In the present embodiment, it is assumed that a training history related to the “user ID” is acquired from the latest training history for one month.

  Next, the video / audio distribution control unit 210 selects all audio metadata whose “corresponding video ID” is equal to the “video ID” acquired in step S1301 from the audio metadata information 330 managed by the audio meta storage unit 204. Obtain (step S1303).

  Next, the video / audio distribution control unit 210 refers to the training history acquired in step S1302, and determines whether or not there is a training history in which “corresponding video ID” is equal to the “video ID” acquired in step S1301 ( Step S1304).

  If there is no training history in which the “corresponding video ID” is equal to the “video ID” acquired in step S1301, the determination result is NO and the process advances to step S1305. In this case, the video / audio distribution control unit 210 determines whether or not “audio ID” in which the target attribute satisfies the user attribute exists in the audio metadata information 330 acquired in step S1303 (step S1305) (step S1305). S1332 is an example of a control step).

  If there is a “voice ID” whose “target attribute” satisfies the user attribute, the determination result is YES, and the flow proceeds to step S1331. In this case, the video / audio distribution control unit 210 determines that the “target attribute” is the first “audio ID” that satisfies the user attribute (step S1331) (step S1332 is an example of a control step). The video / audio distribution control unit 210 determines that the plurality of audio files corresponding to the video file are ordered in advance, and has the first “audio ID” thus ordered. Then, this flow ends.

  For example, whether or not the “target attribute” satisfies the user attribute is determined by referring to the date of birth for the “user ID” from the “member information” and obtaining the age, so that the “target attribute” of the audio metadata information 330 It is possible to determine whether or not there is something satisfying this.

  On the other hand, if there is no “voice ID” whose “target attribute” satisfies the user attribute, the determination result is NO and processing proceeds to step S1332. In this case, the video / audio distribution control unit 210 determines an audio file having “corresponding video ID” corresponding to “video ID” of the video file (step S1332) (step S1332 is an example of a control step).

  For example, when the “video ID” in FIG. 5 is “1002”, the “audio ID” having “1002” in the “corresponding video ID” in FIG. 6 corresponding to this “video ID” is “2003”, “ 2004 "and" 2005 ". Since the “audio ID” of the first audio metadata information 330 of the ordered audio file is “2003”, the video / audio distribution control unit 210 corresponds “2003” of the “audio ID” to the video file. Decide on an audio file. Then, this flow ends.

  If there is a training history in which “corresponding video ID” is equal to the “video ID” acquired in step S1301, the determination result is YES and processing proceeds to step S1306.

  If there is a training history in which “corresponding video ID” is equal to “video ID” acquired in step S1301, the determination result is YES, and the video / audio distribution control unit 210 acquires “corresponding video ID” acquired in step S1301. Of the training history equal to the “video ID”, the “voice ID” of the latest training history is acquired (step S1306).

  Next, the video / audio distribution control unit 210 acquires the learning level of the audio file having the “audio ID” acquired in step S1306 (step S1307). Details of the procedure for acquiring the learning level will be described later. Here, the degree of acquisition is a degree indicating how much the user has acquired each notice point.

  Next, the video / audio distribution control unit 210 determines whether or not the learning level acquired in step S1307 is less than a certain value (step S1308). In the present embodiment, whether or not the learning level is less than a certain value is determined based on whether or not the learning level is less than 1.0.

  If the learning level is less than a certain value, the determination result is YES and the process advances to step S1309. In this case, the video / audio distribution control unit 210 determines an audio file having the same “audio ID” as the latest training history acquired in step S1306 (step S1309). Then, this flow ends.

  If the learning level is greater than or equal to a certain value, the determination result is NO and the process advances to step S1310. In this case, “1” is substituted into the variable M (step S1310). The variable M is a natural number equal to or less than N when the number of a plurality of audio files corresponding to the video file is a natural number N. Among the N audio files that are ordered in advance, the Mth “audio ID” Is an audio file having “

  Next, the video / audio distribution control unit 210 acquires the learning level of the “audio ID” of the Mth audio metadata information 330 out of the audio metadata information 330 acquired in step S1303 (step S1311). Details of the procedure for acquiring the learning level will be described later.

  Next, the video / audio distribution control unit 210 adds the value “1” to the variable M (step S1312).

  Next, it is determined whether or not M + 1> N. In other words, it is determined whether or not the (M + 1) th audio metadata information 330 exists (step S1313).

  If M + 1> N is not satisfied, the determination result is NO and the process returns to step S1311. The case of not satisfying M + 1> N means that M + 1 ≦ N, and means that there are M + 1th and subsequent voices.

  When M + 1> N is satisfied, the video / audio delivery control unit 210 determines YES, the “target attribute” of the audio metadata information 330 acquired in step S1303 satisfies the user attribute, and the learning level is a constant value. It is determined whether or not there is a “voice ID” that is less than (step S1314).

  If there is an “audio ID” that satisfies the user attribute and the learning level is less than a certain value, the video / audio distribution control unit 210 determines that the “target attribute” satisfies the user attribute and is acquired. The audio file having the “audio ID” of the first audio metadata information 330 whose degree is less than a certain value is determined (step S 1333). Then, this flow ends.

  On the other hand, if the “target attribute” satisfies the user attribute and there is no “sound ID” whose learning level is less than a certain value, the video / audio distribution control unit 210 has “sound” whose learning level is less than a certain value. It is determined whether or not “ID” exists (step S1334).

  If there is an “audio ID” whose learning level is less than a certain value, the determination result is YES, and the video / audio distribution control unit 210 performs ordering on the “audio ID” whose learning level is less than a certain value. The audio file having the “audio ID” in the first audio metadata information 330 is determined (step S1335) (steps S1307 to S1314 and steps S1333 to S1336 are examples of control steps). Then, this flow ends.

  On the other hand, if there is no “audio ID” whose learning level is less than a certain value, the determination result is NO, and the video / audio distribution control unit 210 sets “audio ID” in the first audio metadata information 330. (Step S1336). Then, this flow ends.

  In the present embodiment, when there are a plurality of “voice IDs” that satisfy the condition, the first “voice ID” is determined as in steps S1331, S1332, S1333, S1335, and S1336. This is merely an example, and the present invention is not limited to these. For example, one “voice ID” may be randomly selected (determined) from “voice IDs” that satisfy the conditions.

  As described above, the video / audio distribution control unit 210 determines the “voice ID” from the learning level of each voice based on the user attributes age and the training history of the user, and acquires the “voice ID”.

  FIG. 20 is a flowchart illustrating an example of a procedure for determining the user's “audio ID” performed by the video / audio distribution control unit 210 in the modification of FIG. 19. FIG. 20 shows an example of a procedure different from FIG.

  The flow shown in FIG. 20 is started. First, the video / audio distribution control unit 210 acquires “user ID” and “video ID”, which are arguments of the playback instruction, according to an instruction from the main control unit 223 (step S1301).

  Next, the video / audio distribution control unit 210 acquires the training history related to the “user ID” acquired in step S1301 from the training history managed by the training history storage unit 207 (step S1302). Note that a training history related to the “user ID” may be acquired from all the training histories, or a training history related to the “user ID” may be acquired from the training history for a certain period. In the present embodiment, it is assumed that a training history related to the “user ID” is acquired from the latest training history for one month.

  Next, the audio / video distribution control unit 210, from the audio metadata information 330 managed by the audio meta storage unit 204, the audio metadata in which the value of “corresponding video ID” is equal to the “video ID” acquired in step S1301. Are all acquired (step S1303).

  Next, the video / audio delivery control unit 210 substitutes “1” for the variable M (step S1321).

  Next, the video / audio distribution control unit 210 acquires the learning level of the Mth “audio ID” (step S1322). Details of the acquisition level acquisition procedure will be described later.

  Next, the video / audio distribution control unit 210 adds the value “1” to the variable M (step S1323).

  Next, the video / audio distribution control unit 210 determines whether or not M + 1> N. In other words, the video / audio distribution control unit 210 determines whether or not the (M + 1) th audio metadata information 330 is present (step S1324).

  Next, when M + 1> N is not satisfied, the determination result is NO and the process returns to step S1322.

  On the other hand, if M + 1> N is satisfied, the determination result is yes and the process proceeds to step S1325.

  Next, the video / audio distribution control unit 210 compares the learning levels for each “voice ID” acquired in step S1322, and determines the audio file having the lowest “voice ID” (step S1325) (step S1325). Steps S1321 to S1325 are examples of control steps). Then, this flow ends.

  As described above, the video / audio distribution control unit 210 determines the “voice ID” from the degree of acquisition of each voice based on the user's training history, and acquires the “voice ID”.

  Here, the acquisition procedure of the learning level for the “voice ID” in step S1307, step S1311, and step S1322 will be described. In this embodiment, for example, in step S1308, step S1314, step S1334, and the like, determination is made based on whether or not the acquisition level of “voice ID” is less than a certain value. The number of acquisitions may be compared with the number of acquisitions to determine whether or not the number of reproductions is greater than the number of acquisitions, and such a determination step may be inserted. Further, the step of determining based on whether or not the acquisition level of “voice ID” is less than a certain value may be present in FIG.

  In the present embodiment, a large number of points to remember for performing training correctly are linked to one video file as a plurality of audio files, so that even when a user performs the same training, different points to be noted are heard as audio. be able to. The user's learning level is acquired for each “voice ID”, the “voice ID” whose learning level is less than a certain value and the “voice ID” having the lowest learning level are determined, and the “voice ID” determined together with the video is determined. The purpose is to deliver audio.

  FIG. 21 is a flowchart illustrating an example of a procedure for acquiring a learning level for a voice ID.

  The flow shown in FIG. 21 is started. First, the video / audio distribution control unit 210 acquires, from the training history storage unit 207, the number of times of reproduction including the designated “audio ID” from the training history in the certain period acquired in step S1302, according to an instruction from the main control unit 223. (Step S1401).

  Next, the video / audio distribution control unit 210 refers to the audio metadata information 330 acquired in step S1303, and acquires the value of the acquired number of acquisitions of the designated “audio ID” from the training history storage unit 207 (step S1402). ).

  Next, the video / audio distribution control unit 210 acquires a value obtained by dividing the number of reproductions acquired in step S1401 by the number of acquisitions acquired in step S1402 as the learning level (step S1403). Then, this flow ends.

  As described above, the video / audio distribution control unit 210 calculates the learning level from the user's number of times of reproduction for the same “voice ID” and the number of times of learning and reproduction necessary for learning the points to be noted of the “voice ID”. .

  FIG. 22 is a flowchart illustrating an example of a procedure for acquiring a learning level for a voice ID. FIG. 22 shows an example of a procedure different from FIG. FIG. 22 differs from FIG. 21 in that the learning level is calculated using not only the training history but also the visit history.

  The flow shown in FIG. 22 is started. First, the video / audio distribution control unit 210 acquires the number of reproductions including the designated “audio ID” from the training history in the certain period acquired in step S1302 (step S1401).

  Next, the video / audio distribution control unit 210 acquires the number of store exercise histories of the designated “audio ID”, “trainer identification”, “audio ID”, and “corresponding video ID” from the visit history (step S1404). .

  Specifically, the video / audio distribution control unit 210 refers to the audio metadata information 330 and acquires “audio ID”, “corresponding video ID”, “recording store”, and “trainer identification”. Then, the video / audio distribution control unit 210 refers to the content metadata information 320 and acquires the “title” of the “video ID” corresponding to the “corresponding video ID”. Then, the video / audio distribution control unit 210 refers to the store program configuration information 701 and acquires all “program identification” including the acquired “title”. Then, the video / audio distribution control unit 210 acquires the number of store history information 730 based on “program identification”, “store identification”, and “trainer identification” in the store history information 730 of the user as the number of store exercise histories. .

  In the present embodiment, the number of store history information 730 based on “program identification”, “store identification”, and “trainer identification” is acquired as the number of store exercise histories, but is not limited thereto.

  For example, the number of store history information 730 based on “program identification” and “trainer identification” may be acquired as the number of store exercise histories. Further, for example, “studio identification” may be acquired, and the number of store history information 730 based on “program identification”, “store identification”, “studio identification”, and “trainer identification” may be acquired as the number of store exercise histories. .

  Next, the video / audio distribution control unit 210 refers to the audio metadata information 330 acquired in step S1303, and acquires the acquired number of acquisitions of the designated “audio ID” (step S1402).

  Next, the video / audio distribution control unit 210 calculates a value obtained by adding the number of reproductions acquired in step S1401 and the number of store exercises acquired in step S1404, and divides this value by the number of acquired reproductions acquired in step S1402. Then, the learning level is calculated and the learning level is acquired (step S1405). Then, this flow ends. The number of times of store exercise is the number of times a user visits a store and receives training from the trainer directly, and the number of times of acquisition and acquisition of “voice ID” corresponding to this training is added once per training. .

  As described above, the video / audio distribution control unit 210 calculates the learning level from the online training history and the visit history.

  FIG. 23 is a flowchart showing a procedure for acquiring a learning level for “voice ID” in the modification of FIG. 21. FIG. 23 is a modification showing an example of a procedure different from those in FIGS. 21 and 22.

  For example, for an audio with the number of acquisitions of 2 times, even when the training history is 2 times, there is an interval of a certain period (for example, 1 week or more) between the first reproduction and the second reproduction. May have forgotten the contents of the first time and may not be learned in the second playback. Therefore, FIG. 23 differs from FIGS. 21 and 22 in that the effective number of reproductions is acquired instead of simply acquiring the number of reproductions in consideration of the training history interval.

  The flow shown in FIG. 23 is started. First, the video / audio delivery control unit 210 assigns “1” to the variable M, “0” to the variable K, and “0” to the variable L (step S1501).

  Next, the video / audio delivery control unit 210 determines whether or not M> N. In other words, the video / audio distribution control unit 210 determines whether or not the M-th training history of the “voice ID” specified in the training history acquired in step S1302 does not exist (step S1502).

  If M> N is not satisfied, the determination result is NO and processing proceeds to step S1503. In this case, the video / audio distribution control unit 210 substitutes “1” for the variable L (step S1503).

  Next, the video / audio delivery control unit 210 substitutes “1” for the variable K (step S1504).

  Next, the video / audio delivery control unit 210 adds “1” to the value of the variable M (step S1505).

  Next, the video / audio distribution control unit 210 determines whether or not M + 1> N. In other words, the video / audio distribution control unit 210 determines whether or not there is an M + 1th training history including the “voice ID” specified in the training history acquired in step S1302 (step S1506).

  If M + 1> N is not satisfied, the determination result is NO and the process proceeds to step S1507. In this case, the video / audio distribution control unit 210 obtains the M−1th training history (M−1th implementation date) and the Nth training history (Nth implementation date) of the designated “audio ID”. The interval (the period from the (M−1) th implementation date to the Nth implementation date) is calculated with reference to the reference. Then, the video / audio distribution control unit 210 determines whether or not the interval is within a certain period (for example, within one week) (step S1507).

  If the interval is within a certain period, the determination result is yes and the process proceeds to step S1508. In this case, the video / audio delivery control unit 210 adds “1” to the value of K (step S1508). Then, the process returns to step S1505.

  On the other hand, if the interval has passed a certain period, the determination result is NO and the process proceeds to step S1509. In this case, the video / audio distribution control unit 210 determines whether or not K> L is satisfied (step S1509). If K> L is satisfied, the determination result is NO and the process returns to step S1504.

  If K> L is not satisfied, the determination result is YES, the video / audio distribution control unit 210 substitutes the value of K for L, and the process returns to step S1504 (step S1510).

  If M + 1> N is satisfied in step S1506, the determination result is yes and the process proceeds to step S1511. In this case, the video / audio distribution control unit 210 determines whether or not K> L is satisfied (step S1511).

  If K> L is satisfied, the determination result is yes and the process proceeds to step S1512. In this case, the video / audio distribution control unit 210 substitutes the value of K for L, and proceeds to step S1513 (step S1512).

  If K> L is not satisfied, the determination result is NO and the process proceeds to step S1513. Also, if M> N is satisfied in step S1502, the determination result is YES and processing proceeds to step S1513.

  The video / audio delivery control unit 210 refers to the audio metadata information 330 acquired in step S1303, and acquires the acquired number of acquisitions of the designated “audio ID” (step S1513).

  Next, the video / audio distribution control unit 210 calculates and acquires a value obtained by dividing the value of L, which is an effective number of continuous reproductions, by the number of acquired reproductions acquired in step S1513. Then, this flow ends.

  Here, when a user whose “user ID” is “AA0003” and the member type is online issues a playback instruction, a sound file is determined, and a content in which the audio file is attached to the video file is played back. 2, FIG. 6, FIG. 18, FIG. 19, FIG. 21, FIG. 23, and the actual data.

  When the user whose “user ID” is “AA0003” accesses his / her personal training screen 530, a training menu 503 created by the trainer for “AA0003” of “user ID” is displayed on the personal training screen 530. The user instructs the cloud server 111 to receive “user ID” and “video ID” as an argument by instructing playback of “hero pose” out of “heroes pose” and “push-up” which are training menus. An instruction to play the content is sent.

  First, the video / audio distribution control unit 210 receives an instruction to reproduce the content, and receives “AA0003” of “User ID” and “1002” of “Video ID” as arguments from the trainer device 102 via the communication unit 222. Obtain (step S1201).

  Next, the video / audio distribution control unit 210 instructs the audio distribution control unit 210 to determine an audio file to be distributed together with the video file, and determines an “audio ID” (step S1202).

  Here, the procedure in which the voice delivery control unit 210 determines the “voice ID” will be described using FIG. 19 and actual data.

  First, the audio distribution control unit 210 acquires “AA0003” of “user ID” and “1002” of “video ID”, which are reproduction instructions from the video / audio distribution control unit 210 (step S1301).

  Next, the audiovisual delivery control unit 210 acquires the training history 903 related to “AA0003” of the “user ID” acquired in step S1301 from the training history managed by the training history storage unit 207 (step S1302). In the present embodiment, it is assumed that a training history related to the “user ID” is acquired from the latest training history for one month.

  Next, the video / audio distribution control unit 210 sets the value of “corresponding video ID” to “1002” of “video ID” acquired in step S1301 from the audio metadata information 330 managed by the audio meta storage unit 204. Metadata information of equal audio files, that is, metadata information of audio files whose “audio ID” is “2003”, “2004”, and “2005” is acquired (step S1303).

  Next, the video / audio distribution control unit 210 refers to the training history 903 acquired in step S1302, and determines whether or not there is a training history in which “video ID” is equal to “1002” of “video ID” acquired in step S1301. Is determined (step S1304).

  The item “video ID” “1002” in the training history 903 of FIG. 15C has two training histories, so the determination result is YES. In this case, among the training histories whose “video ID” is equal to “1002” of “video ID” acquired in step S1301, the “voice ID” of the latest training history is acquired (step S1306). In the training history 903 of FIG. 15C, the implementation date is 2016/3/1 (the third row including the items) of the two training histories in “1002” of the “video ID”. The video / audio distribution control unit 210 acquires “2003” of “audio ID” in the training history of the latest implementation date.

  Next, the video / audio distribution control unit 210 acquires the learning level of “2003” of the “audio ID” acquired in step S1306 (step S1307). Here, the acquisition level acquisition procedure will be described using FIG. 21 and actual data.

  First, the video / audio distribution control unit 210 acquires the number of reproductions including “2003” of the designated “audio ID” from the training history 903 in the fixed period acquired in step S1302 (step S1401). In the training history 903, there are two histories with the “voice ID” “2003”, so the number of reproductions is “2”.

  Next, the video / audio distribution control unit 210 refers to the audio metadata information 330 acquired in step S1303, and acquires “2”, which is the value of the acquired number of acquisitions of “2003” of the designated “audio ID”. (Step S1402).

  Next, the audiovisual distribution control unit 210 acquires “1.0” as a learning level from a value obtained by dividing the reproduction count “2” acquired in step S1401 by the acquired reproduction count “2” acquired in step S1402. (Step S1403). Here, it returns to the flowchart of FIG.

  Next, it is determined whether the learning level “1.0” acquired in step S1307 is less than a certain value (step S1308). In the present embodiment, the video / audio distribution control unit 210 determines whether or not the learning level is less than 1.0 and is less than a certain value.

  Since the determination result of step S1308 is NO, the process proceeds to step S1310. In this case, “1” is substituted into the variable M (step S1310).

  Next, the video / audio distribution control unit 210 sets the Mth (here, M = 1) out of the audio metadata information 330 acquired in step S1303, that is, the audio metadata information 330 whose “corresponding video ID” is “1002”. The learning level is acquired for “2003” of “voice ID” of the (th) voice metadata information 330 (step S1311). The current learning level is “0.5”.

  Next, “1” is added to the value of M to obtain “2” (step S1312).

  Next, the video / audio distribution control unit 210 determines whether or not 2> N. In other words, the video / audio distribution control unit 210 determines whether the second audio metadata information 330 does not exist (step S1313).

  If the determination result of step S1313 is NO, the process returns to step S1311.

  Next, the video / audio distribution control unit 210 performs the Mth (M = 2th) among the audio metadata information 330 acquired in step S1303, that is, the audio metadata information 330 whose “corresponding video ID” is “1002”. Acquisition level is acquired for “2003” of “audio ID” of the audio metadata information 330 (step S1311).

  In the flowchart of FIG. 21, the learning level “1.0” is acquired in the same manner.

  Next, the video / audio distribution control unit 210 determines whether or not the learning level acquired in step S1311 is less than a certain value (step S1312). In the present embodiment, the video / audio distribution control unit 210 determines whether it is less than a certain value based on whether it is less than 1.0.

  Since the determination result is YES, it is determined to be “2004” which is the Mth (here, M = 2) “voice ID”, and the process ends (step S1313).

  As described above, “2003” of “voice ID” is determined. And it returns to FIG.

  Next, the main control unit 223 instructs the moving image distribution unit 220 to distribute the content from “1002” of the “video ID” as an argument and “2003” of the “voice ID” acquired in step S1202. Instruct. The moving image distribution unit 220 distributes the content using the video file corresponding to the instructed “video ID” and the audio file corresponding to “audio ID” (step S1203).

  At this time, when it is necessary to distribute the video file and the audio file as one content, the video file and the audio file are multiplexed and encoded into a format suitable for distribution.

  Next, the main control unit 223 updates the training history 903 (step S1204). Specifically, the main control unit 223 has titles corresponding to “AA0003” that is “user ID” specified by the argument, “1002” that is “video ID” specified by the argument, and “video ID”. A certain “hero's pose” and “2003”, which is the “voice ID” determined in step S1202, are added to the training history 903 of the training history storage unit 207. Further, if the current date and time is 20:00 on March 6, 2016, the main control unit 223 will display “2016/3/6” as the “implementation date” and “20:00” as the “implementation time”. 0:00 ”is added to the training history 903 of the training history storage unit 207.

  Here, in step S1307 described above, a procedure for determining the learning level will be described using the flowchart of FIG. 23, which is a procedure for determining the “voice ID” different from FIG. 21, and the actual data.

  First, “1” is substituted for variable M, “0” is substituted for variable K, and “0” is substituted for variable L (step S1501).

  Next, the video / audio delivery control unit 210 determines whether or not M> N is satisfied. In other words, it is determined whether or not there is an M-th (here, M = 1) training history of “2003” of “voice ID” specified in the training history 903 acquired in step S1302 (step S1502). .

  Since 1> N and “2003” of the item “voice ID” in the training history 903 of FIG. 15C acquired in step S1302 has two training histories (N = 2), the determination result is NO. It is. In this case, “1” is substituted into the variable L (step S1503).

  Next, the video / audio delivery control unit 210 substitutes “1” for the variable K (step S1504).

  Next, the video / audio delivery control unit 210 adds “1” to the value of the variable M to obtain “2” (step S1505).

  Next, the video / audio distribution control unit 210 determines whether or not M + 1> N is satisfied. In other words, the video / audio distribution control unit 210 determines whether or not there is a second training history including “2003” of the “voice ID” specified in the training history acquired in step S1302 (step S1506). .

  Since 2 + 1 does not satisfy M + 1> N, the determination result of step S1506 is NO, and the process proceeds to step S1507. In this case, the video / audio delivery control unit 210 performs the implementation date of the M-1 (= 1) th training history and the implementation date of the M (= 2) th training history of “2003” of the designated “audio ID”. , It is determined whether or not the interval is within a certain period, for example, one week (step S1507). Since the implementation date of the first training history is “February 18, 2016” and the implementation date of the second training history is “March 1, 2016, the determination result is NO and the process advances to step S1509. .

  In this case, the video / audio delivery control unit 210 determines whether or not K (= 1)> L (= 1) is satisfied (step S1509).

  Since 1 = 1, the determination result is NO and processing returns to step S1504.

  Next, the video / audio delivery control unit 210 substitutes “1” for the variable K (step S1504).

  Next, the video / audio distribution control unit 210 adds “1” to the value of the variable M to obtain “3” (step S1505).

  Next, the video / audio distribution control unit 210 determines whether or not 3> N is satisfied. In other words, the video / audio distribution control unit 210 determines whether or not there is a third training history including “2003” of the “voice ID” specified in the training history acquired in step S1302 (step S1506). .

  Since N = 2 and the determination result is YES, the process proceeds to step S1511. In this case, the video / audio distribution control unit 210 determines whether or not K (= 1)> L (= 1) is satisfied (step S1511). Since 1 = 1, the process proceeds to step S1513.

  Next, the video / audio delivery control unit 210 refers to the audio metadata information 330 acquired in step S1303, and acquires “2” as the number of acquisitions and reproductions of the designated “audio ID” (step S1513).

  Next, the video / audio distribution control unit 210 obtains “0.5” as a value obtained by dividing “1”, which is an effective number of continuous reproductions, by “2”, which is the number of acquisitions acquired in step S1513. Is calculated.

  Returning to FIG. 19, the video / audio distribution control unit 210 determines whether or not the learning level “0.5” acquired in step S1307 is less than a certain value (step S1308). In the present embodiment, whether or not the learning level is less than 1.0 determines whether it is less than a certain value. In this case, the determination result is YES, and the process proceeds to step S1309. In this case, “2003”, which is the same “voice ID” as the latest training history acquired in step S1306, is determined, and the process ends (step S1309).

  As described above, in the above-described step S1307, when the flowchart of FIG. 23, which is a procedure for determining “voice ID” different from that in FIG. 21, is used, “voice ID” is determined to be “2003”. The content of “1002” of “Video ID” and “2003” of “Audio ID” is distributed to the user.

  Here, when a user whose “user ID” is “AA0002” and whose member type is a regular member issues a playback instruction, the content in which the audio file is attached to the video file for which the audio file has been determined is played back Will be described with reference to the flowcharts of FIG. 2, FIG. 6, FIG. 15B, FIG. 18, FIG.

  The member information storage unit 201 holds a member information list 301. The audio meta storage unit 204 holds the content metadata information 320, while the content meta storage unit 203 holds content metadata information 320. Audio metadata information 330 is held. The training menu storage unit 206 holds a personal training menu list 501. The store program information storage unit 208 holds store program configuration information 701 and schedule information 710. The store history storage unit 205 holds store history information 730. The training history storage unit 207 holds a training history 901, a training history 902, and a training history 903.

  When a user whose “user ID” is “AA0002” presses a play button 533 for playing “pause pose” on the personal training screen 530, the script of the HTML file is called and the play is instructed. The content reproduction instruction is made with “1001” of “Video ID” and “AA0002” of “User ID” as arguments.

  First, the main control unit 223 receives an instruction to reproduce the content, and acquires “AA0002” of “User ID” and “1001” of “Video ID” as arguments from the trainer device 102 via the communication unit 222. (Step S1201).

  Next, the main control unit 223 instructs the audio distribution control unit 210 to determine an audio file to be distributed together with the video file, and determines “audio ID” (step S1202).

  Here, a procedure for determining the “voice ID” will be described using the flowchart of FIG. 20 and actual data.

  First, “AA0002” of “user ID” and “1001” of “video ID” which are arguments of the reproduction instruction are acquired (step S1301).

  Next, the training history 902 relating to “AA0002” of “user ID” acquired in step S1301 is acquired from the training history managed by the training history storage unit 207 (step S1302). Note that a training history related to the “user ID” may be acquired from all the training histories, or a training history related to the “user ID” may be acquired from the training history for a certain period. In the present embodiment, it is assumed that a training history related to the “user ID” is acquired from the latest training history for one month.

  Next, from the audio metadata information 330 managed by the audio meta storage unit 204, audio metadata in which the value of “corresponding video ID” is equal to “1001” of “video ID” acquired in step S1301, that is, “ The audio metadata information 330 having the audio IDs “2001” and “2002” is acquired (step S1303).

  Next, the video / audio delivery control unit 210 substitutes “1” for the variable M (step S1321).

  Next, the video / audio delivery control unit 210 acquires the learning level of “2001” of the Mth (here, M = 1) “voice ID” (step S1322).

  Here, a procedure for acquiring the learning level will be described using the flowchart of FIG. 22 and actual data.

  First, the number of reproductions including “2001” of the designated “voice ID” is acquired from the training history 902 in the fixed period acquired in step S1302 (step S1401).

  The training history 902 includes one history with “2001” of “voice ID”, so the number of playbacks is “1”.

  Next, the “trainer identification” corresponding to the “voice ID” and the number of store exercise histories of the same “title” as the “corresponding video ID” are acquired from the visit history (step S1404).

  Specifically, referring to the audio metadata information 330, “1001” that is the “corresponding video ID” of “2001” that is the designated “audio ID”, “Umeda” that is “recording store”, “ Acquire “Yumi” as “trainer identification”. Then, the content metadata information 320 is referred to, and the title of “corresponding video ID” “pause pose” is acquired. Then, referring to the store program configuration information 701, all the “program identification” including the acquired “title”, that is, “Yoga Beginner” and “Yoga Intermediate” are acquired. Then, referring to the store history information 730, among the store history information 730 of “AA0002” of the “user ID”, “program identification” is equal to “Yoga Beginner” or “Yoga Intermediate” and “Store Identification” The number of store history information 730 that is equal to “Umeda” and whose “trainer identification” is equal to “Yumi” is acquired as the number of store exercise histories. Since the store history information 730 that satisfies the condition is “0”, the number of store exercise histories is “0”.

  Next, with reference to the audio metadata information 330 acquired in step S1303, “2”, which is the value of the acquired number of reproductions of “2001” of the specified “audio ID”, is acquired (step S1402).

  Next, “1”, which is a value obtained by adding “1”, which is the number of times of reproduction acquired in step S1401 and “0”, which is the number of times of store exercise acquired in step S1404, as the acquired number of times of learning, acquired in step S1402. After obtaining “0.5” as a value divided by a certain “2”, the process ends (step S1405). And it returns to FIG.

  Next, the value “1” of M is added to “2” (step S1323).

  Next, the video / audio delivery control unit 210 determines whether or not M + 1> N is satisfied. In other words, the video / audio distribution control unit 210 determines whether or not the (M + 1) th (M = 2th here) audio metadata information 330 is present (step S1324).

  Since 2 = 2, the determination result of step S1324 is NO, and the process returns to step S1322.

  Next, the video / audio delivery control unit 210 acquires the learning level of “2002” of the Mth (here, M = 2) “voice ID” (step S1322). And it returns to FIG.

  In FIG. 22, a procedure for acquiring the learning level will be described using a flowchart and actual data.

  As shown in FIG. 22, first, the number of reproductions including “2002” of the designated “voice ID” is acquired from the training history 902 in the fixed period of FIG. 15B acquired in step S1302 of FIG. 20 (step S1401). ). In the training history 902, since there is no history “voice ID” “2001”, the number of playbacks is “0”.

  Next, the number of store exercise histories of the “title” having the “trainer identification” of the designated “voice ID” and the same “corresponding video ID” of the designated “voice ID” is acquired from the visit history ( Step S1404).

  Specifically, referring to the audio metadata information 330 in FIG. 6, “1001” that is the “corresponding video ID” of “2002” that is the designated “audio ID” and “Shinjuku” that is the “recording store”. And “Ico”, which is “trainer identification”, is acquired. Then, the content metadata information 320 of FIG. 5 is referred to, and the title of “corresponding video ID” “pause of pigeon” is acquired. Then, with reference to the store program configuration information 701, all program identifications including the acquired title, that is, “Yoga Beginner” and “Yoga Intermediate” are acquired. Then, referring to the store history information 730 of FIG. 13, among the store history information of “AA0002” of the “user ID”, the “program identification” is “yoga beginner” or “yoga intermediate”, and “store The number of store history information whose “identification” is “Shinjuku” and whose “trainer identification” is “Aiko” is acquired as the number of store exercise histories. According to FIG. 13, the store history information that satisfies the condition is “2”, so the number of store exercise histories is “2”.

  Next, with reference to the audio metadata information 330 in FIG. 6 acquired in step S1303 in FIG. 20, “3”, which is the value of the acquired number of acquisitions of “2002” of the specified “audio ID” (step S1303), is acquired. S1402).

  Next, “2”, which is a value obtained by adding “2”, which is the number of store exercises acquired in step S1404, and “2”, which is acquired in step S1401, as the learning level, is acquired in step S1402. “0.67” is acquired as a value divided by “3”. (Step S1405). And it returns to FIG.

  Next, the value “1” of M is added to “3” (step S1323).

  Next, the video / audio distribution control unit 210 determines whether or not M + 1> N is satisfied. In other words, the video / audio delivery control unit 210 determines whether or not the (M + 1) th (here, M + 1 = 3) audio metadata information 330 is present (step S1324). Here, since the determination result of step S1324 is NO, the process returns to step S1322.

  Next, the video / audio delivery control unit 210 acquires the learning level of “2002” of the Mth (here, M = 3) “sound ID” (step S1322).

  Next, the video / audio distribution control unit 210 adds the value “1” of M to “4” (step S1323).

  Next, the video / audio distribution control unit 210 determines whether or not M + 1> N is satisfied. In other words, the video / audio distribution control unit 210 determines whether or not the (M + 1) th (M + 1 = 4th) audio metadata information 330 is present (step S1324). Here, since the determination result of step S1324 is YES, the process proceeds to step S1325. In this case, the video / audio distribution control unit 210 compares the proficiency levels for the respective “audio IDs” acquired in step S1322, and calculates the respective proficiency levels. The learning level of “voice ID” in “2001” is “0.5”, and the learning level of “voice ID” in “2002” is “1.0”. For this reason, “2001” of “voice ID” having the lowest learning level is determined (step S1325). And it returns to FIG. For example, in the case where “0.2”, “0.7”, etc. exist in addition to “0.5”, the “voice” corresponding to “0.2” having the lowest acquisition level ID ”.

  As shown in FIG. 18, the main control unit 223 performs the moving image distribution unit 220 so as to distribute the moving image with “1001” of the “video ID” that is the argument and “2001” of the “audio ID” acquired in step S1202. To instruct. Then, the moving image distribution unit 220 distributes the content using the video file corresponding to the “video ID” instructed by the main control unit 223 and the audio file corresponding to the “audio ID” (step S1203).

  At this time, when it is necessary to distribute the video file and the audio file as a single content, the video file and the audio file are multiplexed, encoded into a format suitable for distribution, and then distributed.

  Next, the main control unit 223 updates the training history (step S1204). Specifically, as shown in FIGS. 15B and 18, “AA0002” as “user ID”, “1001” as “video ID”, and “title” corresponding to “title ID” corresponding to “video ID”. “Pause”, “2001” which is the “voice ID” determined in step S1202, and if the current date and time is 20:00 on March 6, 2016, the “implementation date” is “2016/3/6”, “ The “execution time” is set as “20:00: 00” and added to the training history 902 of the training history storage unit 207 (step S1205).

  As described above, the audio file corresponding to the “audio ID” distributed together with the video file by acquiring the proficiency level for each “audio ID” from the online training history and the store history participating in the training program at the store. Can be determined.

  Here, when the user whose “user ID” is “AA0001” issues a playback instruction, the flow of determining the audio file and playing the content with the audio file attached to the video file is shown in FIGS. This will be described using the flowchart and actual data.

  The member information storage unit 201 holds a member information list 301. The content metadata storage unit 203 holds content metadata information 320. The audio meta storage unit 204 holds audio metadata information 330. The training menu storage unit 206 holds a personal training menu list 501. The training history storage unit 207 holds a training history 901, a training history 902, and a training history 903.

  As shown in FIG. 8, when a user whose “user ID” is “AA0001” accesses his / her personal training screen 530, the training menu 503 created by the trainer for “AA0001” of “user ID” is personal training. It is displayed on the screen 530. By instructing playback of “push-up” among “push-up” and “crunch” which are training menus, the user plays content with “user ID” and “video ID” as arguments to the cloud server 111. Instructions to send.

  As shown in FIG. 18, first, the main control unit 223 receives an instruction to reproduce content, and “AA0001” and “Video ID” of “User ID” as arguments via the communication unit 222 from the trainer device 102. "1007" is acquired (step S1201).

  Next, the main control unit 223 instructs the audio distribution control unit 210 to determine an audio file to be distributed together with the video file, and determines “audio ID” (step S1202).

  Here, the procedure in which the voice distribution control unit 210 determines the “voice ID” will be described using FIG. 19 and actual data.

  First, “AA0001” of “user ID” and “1007” of video ID ”which are arguments of the reproduction instruction are acquired (step S1301).

  Next, a training history 901 relating to “AA0001” of “user ID” acquired in step S1301 is acquired from the training history managed by the training history storage unit 207 (step S1302). Note that a training history related to the “user ID” may be acquired from all the training histories, or a training history related to the “user ID” may be acquired from the training history for a certain period. In the present embodiment, it is assumed that a training history related to the “user ID” is acquired from the latest training history for one month.

  Next, from the audio metadata information 330 managed by the audio meta storage unit 204, audio metadata in which the value of “corresponding video ID” is equal to “1007” of “video ID” in FIG. 6 acquired in step S1301; That is, the audio metadata information 330 whose “audio ID” in FIG. 6 is “2010”, “2011”, and “2012” is acquired (step S1303).

  Next, with reference to the training history 901 in FIG. 15A acquired in step S1302, it is determined whether or not there is a training history in which “video ID” is equal to “1007” of “video ID” in FIG. 6 acquired in step S1301. (Step S1304).

  In FIG. 15A, since there is no training history equal to “1007” of “Video ID”, the determination result of step S1304 is NO, and the process proceeds to step S1305.

  In this case, “audio ID” in which the “target attribute” satisfies the user attribute is searched from the audio metadata information 330 acquired in step S1303.

  As shown in FIG. 6, the video / audio distribution control unit 210 refers to the audio metadata information 330 and knows that the user “AA0001” of the “user ID” is “30's”. From “2010”, “2011”, and “2012” of “ID”, a “voice ID” that satisfies “target attribute” is searched. The target attribute whose “voice ID” is “2011” is “30's” and satisfies the “target attribute”. In addition, the “target attribute” whose “voice ID” is “2012” is “all members” and satisfies the “target attribute”. Here, the main control unit 223 determines “2011”, which is a lower number in the order of “voice ID”, and ends the process. And it returns to FIG.

  As shown in FIG. 18, the main control unit 223 then uses the arguments “1007” of “Video ID” in FIG. 6 and “2011” of “Audio ID” in FIG. 6 acquired in Step S1202. Is distributed to the moving image distribution unit 220. The moving image distribution unit 220 distributes the content using the video file corresponding to the instructed “video ID” and the audio file corresponding to “audio ID” (step S1203).

  At this time, when it is necessary to distribute the video file and the audio file as a single content, the video file and the audio file are multiplexed, encoded into a format suitable for distribution, and then distributed.

  Next, the main control unit 223 updates the training history 901 (step S1204). Specifically, as shown in FIG. 15C, “AA0001” that is “user ID” specified by the argument, “1007” that is “video ID” specified by the argument, and titles corresponding to “video ID” “Push-up”, “2011” which is the “voice ID” determined in step S1202, and if the current date is 20:00 on March 6, 2016, “2016 / “3/6” and “20:00:00” as the “execution time” are added to the training history 903 of the training history storage unit 207 (step S1205).

  As described above, the audio file to be distributed together with the video file can be determined in accordance with the user attribute.

  As described above, since the optimal audio for the user is determined, even if the training is the same, the content with a different audio file attached to the video file is played back every time. Even when performing the above, since different points of interest can be heard as audio data, the training can be performed more correctly by continuing the training, and a higher training effect can be obtained compared to the case where the training is not performed correctly.

  In this embodiment, in order to reduce the number of man-hours for producing video files and audio files used in online training, the programs running in the studios and gym areas of the store are photographed and recorded and used as video files and audio files. Is assumed.

  In FIG. 7B and FIG. 17, the registration screen and the processing procedure when the trainer manually records the audio metadata information 330 and registers it after the second time are described. Registration of the audio file and audio metadata information 330 can be automated.

  FIG. 24 is a flowchart illustrating an example of a procedure in which an audio file is automatically registered in the video / audio storage unit.

  In the present embodiment, when the trainer performs the training program for the store, the headset is attached and the trainer's voice is automatically recorded while the training program is being performed by the headset. After the training program is completed, the trainer device 102 logs in to the trainer device 102 and copies the recorded sound file to the trainer device 102, so that the trainer device 102 transmits the sound file to the cloud server 111, and the sound file is automatically registered.

  Note that the audio recording method and the audio file transmission method to the trainer device 102 are not limited thereto. For example, a wireless communication function such as Wi-Fi (registered trademark) or a non-contact communication function may be mounted on the headset and automatically transmitted to the trainer device 102.

  When the main control unit 223 acquires the audio file, the video / audio registration control unit 209 instructs the audio registration process to start the automatic registration process.

  As shown in FIG. 24, first, the video / audio registration control unit 209 acquires an audio file in accordance with an instruction from the main control unit 223 (step S1601).

  Next, the video / audio registration control unit 209 acquires “trainer identification” from the audio meta storage unit 204 (step S1602). When a trainer logs in to the trainer device 102 and copies an audio file, if the audio file and “trainer identification” are managed in association with each other, the “trainer identification” is transmitted to the cloud server 111 together with the audio file. Thus, “trainer identification” can be acquired. When an audio file is automatically transmitted, an individual headset is attached to each trainer, and when the trainer device 102 acquires the audio file when the trainer device 102 acquires the audio file, the “trainer identification” is performed. Can be acquired.

  Next, the video / audio registration control unit 209 acquires the schedule information 710 of the store program (step S1603).

  Next, the video / audio registration control unit 209 acquires the recording date and time of the audio file (step S1604).

  Next, the video / audio registration control unit 209 refers to the schedule information 710, specifies which program is recorded from the recording date and time of the audio file and the trainer identification, and acquires store identification, studio identification, and program identification (step S1605). As shown in FIG. 12, for example, when the recording date of the audio file is 18:00 on Sunday, February 28, 2016, and the “trainer identification” is Tetsuya, as in the schedule information 711, Since the recording date and time is generally the time when recording is stopped, the recording date and time is equal to the end time of the program. Also, the audio / video registration control unit 209 acquires audio metadata information 330 of “Umeda” as “Recording Store” and “Muscle Training Intermediate” as “Program Identification”.

  Next, as shown in FIG. 24, the video / audio registration control unit 209 acquires the number of acquisitions (step S1606). In the present embodiment, the number of acquisitions for learning is set in advance for each trainer and the value is used. For example, when the learning reproduction count is set to “2” in advance, the learning reproduction count “2” is acquired.

  Next, the video / audio registration control unit 209 acquires the store history information 730 (step S1607).

  Next, the video / audio registration control unit 209 acquires “target attribute” (step S1608). The trainer utters different points of attention according to the user attributes and proficiency level of the program attendees when the program is executed at the store. In other words, it can be said that points of caution spoken by a program having many attendees with a certain user attribute are points of caution suitable for users with the same user attribute. For example, in the same program, if there are times when many women in their 20s participate and many women in their 40s participate, the women in their 40s who conduct online training will be able to Is more suitable. In the present embodiment, the user attributes of the program participants are statistically acquired from the store history information 730, and user attributes having a large ratio are acquired as target attributes.

  Specifically, the video / audio registration control unit 209 refers to the store history information 730, acquires the “user IDs” of all users who participated in the program identified in step S1605, and acquires all the acquired “user IDs”. The age is acquired from the date of birth with reference to the member information list 301. Then, the video / audio registration control unit 209 statistically analyzes the ages of all “user IDs”, specifies which ages are large, and acquires the ages with a large ratio as “target attributes”. When the ratio does not change greatly in any age, the “target attribute” is set to “all”.

  For example, when the recording date and time of the audio file is 18:00 on Sunday, February 28, 2016, and the program specified in step S1605 is the schedule information 711 in FIG. 12, refer to the store history information 730 in FIG. Then, the “user ID” that participated in the schedule information 711 is acquired. That is, “Store identification” is “Umeda”, “Studio identification” is “B”, “Program identification” is “Muscle training intermediate”, “Trainer identification” is “Tetsuya”, and “Performance date” is “2016/2 / “AA0004” and “AA0005” are acquired as the “user ID” of the store history information 730 that satisfies the conditions of “28” and “end time” of “18:00”. As shown in FIG. 3, the member information list 301 is referred to, and the user “AA0004” of “user ID” is in his 30s and the user of “AA0005” of “user ID” is in his 30s. “30s” is acquired as the target attribute.

  Next, as shown in FIG. 24, the audio / video registration control unit 209 acquires the configuration information of “program identification” acquired in step S1605 (step S1609). For example, if the “program identification” acquired in step S 1605 is “intermediate muscle training”, the configuration information 702 of the training program in FIG. 11 is acquired.

  Next, the audio file is divided with reference to the training execution time of the configuration information acquired in step S1609 (step S1610). For example, the configuration information 702 acquired in step S1609 is warmed up for the first training execution time of 20 minutes, crunched for the next 6 minutes and 30 seconds, bench pressed for the next 7 minutes and 15 seconds, and leg curl for the next 5 minutes and 10 seconds. Since the last 12 minutes 05 seconds is a cool-down configuration, audio files from the beginning to 20 minutes 00 seconds, from 20 minutes 00 seconds to 26 minutes 30 seconds, from 26 minutes 30 seconds to 33 minutes 45 seconds And divided into 5 parts from 33 minutes 45 seconds to 38 minutes 55 seconds and 38 minutes 55 seconds to the last.

  In this embodiment, the audio file is divided based on the training time of the configuration information. However, the method for dividing the audio file is not limited to this.

  For example, the training execution time of the configuration information may be used as basic information on the division points of the audio file, and further, the division points may be corrected using the characteristics of the audio file. For example, the part where the silence or the sound is reduced before and after the dividing point of the audio file that is the training time of the configuration information may be used as the dividing point, or the phrase such as “Yes end” that is the utterance at the end of the training May be detected by voice recognition to correct the dividing points.

  Further, for example, a video file corresponding to an audio file and edit information when the audio file is edited may be used. For example, in the first shooting, video and audio are recorded for a store program using a video camera or the like, and a division point that is editing information when a video file and an audio file are registered by dividing each motion into individual motions is obtained. May be used.

  Next, “1” is substituted into the variable M (step S1611).

  Next, the content metadata information 320 is referred to, and it is determined whether there is a title equal to the title of the Mth training in the configuration information acquired in step S1609 (step S1612).

  For example, if the value of M in the configuration information 702 acquired in step S1609 is “1”, the video / audio registration control unit 209 has content metadata whose title is “warm-up” in the content metadata information 320 of FIG. Determine whether the information exists. Since “warm-up” does not exist in the title of the content metadata information 320 in FIG. 5, the determination result is NO in this case. In this case, the process proceeds to step S1623.

  On the other hand, for example, when the value of M is “2”, the video / audio registration control unit 209 determines whether or not content metadata information whose title is “crunch” exists in the content metadata information 320. Since “crunch” exists in the title of the content metadata information 320 of FIG. 5, the determination result is YES and processing proceeds to step S1613. In this case, with reference to the content metadata information 320, the “video ID” of the title equal to the title of the Mth training in the configuration information acquired in step S1609 is acquired as the “corresponding video ID” (step S1613). For example, if “Title” is “Crunch”, the content metadata information 320 of FIG. 5 is referred to, and “1008” of “Video ID” whose “Title” is “Crunch” is acquired.

  Next, the video / audio registration control unit 209 acquires the recording time of the divided audio file (step S1614). For example, when the “recording date / time” of the audio file before division is “February 28, 2016 18:00”, the value may be used as the “recording date / time” of the divided audio file.

  Next, the playback time of the divided file is acquired (step S1615). The reproduction time may be acquired by analyzing the divided audio file, or the division information may be managed and the value may be used when dividing the audio file in step S1610.

  Next, referring to the content metadata information 320, the playback time of the “corresponding video ID” acquired in step S1613 is acquired (step S1616). For example, if the acquired “corresponding video ID” is “1008”, the playback time is 6 minutes 30 seconds.

  Next, the audio metadata information 330 is registered in the audio meta storage unit (step S1617). Specifically, the video / audio registration control unit 209 refers to the audio metadata information 330 and does not use the “audio ID”, the “corresponding video ID” acquired in step S1613, and the “recording date and time” acquired in step S1614. "Recording store", "Studio identification", and "Program identification" acquired in step S1605, "Trainer identification" acquired in step S1602, "Learning playback count" acquired in step S1606, "Obtained playback count" acquired in step S1608 The “target attribute” is added to the audio metadata information 330 as an input value.

  Next, the video / audio registration control unit 209 determines whether or not the playback time of the “corresponding video ID” is larger than the playback time of the divided audio (step S1618).

  If it is determined in step S1618 that the playback time is greater than the playback time of the divided audio file, the determination result is yes and the process proceeds to step S1109. In this case, the processing in step S1109 is the same as that in FIG.

  If the playback time is equal to or less than the playback time of the divided audio file in step S1618, the determination result is NO, and it is determined whether or not the playback time of “corresponding video ID” is smaller than the playback time of the divided audio file (step S1618). S1620).

  If it is determined in step S1620 that the playback time of “corresponding video ID” is shorter than the playback time of the divided audio file, the determination result is YES and processing proceeds to step S1111. In this case, the processing in step S1111 is the same as that in FIG.

  When the process of step S1109 is completed, when the process of step S1111 is completed, or when the reproduction time of the “corresponding video ID” is the same as the reproduction time of the audio file divided in step S1620 (the determination result of step S1620 is If NO, the divided audio file is registered in the video / audio storage unit 202 (step S1622).

  Next, the video / audio registration control unit 209 adds the value “1” of M (step S <b> 1623). Here, in step S1612, even if there is no title equal to the title of the Mth training in the configuration information acquired in step S1609, the value “1” of M is added (step S1623).

  Next, the video / audio registration control unit 209 determines whether or not M + 1> N is satisfied for the audio file divided in step S1610. In other words, the video / audio registration control unit 209 determines whether or not the (M + 1) th audio file does not exist (step S1624).

  If M + 1> N is not satisfied, the determination result is NO and the process returns to step S1612.

  On the other hand, if M + 1> N is satisfied, the determination result is YES and this flow ends.

  As described above, by recording and automatically registering a program at a store, it is possible to increase the number of audio files corresponding to training without reducing the number of trainers.

  Although the number of times of learning and reproduction is determined in advance, it may be edited after registering the audio file. Also, for other audio metadata information, values edited after registration may be changed.

  Although the present embodiment has been described by taking the online fitness service as an example, the online training system according to the present invention changes only the audio of the content used for training in the training system that performs training by playing back the content. It can be used for services such as rehabilitation, sports training, and lessons for education.

(Effects etc.)
In the online training cloud server 111, the main video / audio distribution control unit 210 selects one audio file from the plurality of audio files according to the user's level of proficiency based on the number of reproductions of each of the plurality of audio files. For this reason, even if the user performs the same training, the user can listen to the audio file including different points to be noted, so that the response to the user performed by the trainer is reduced and correct training can be performed. For this reason, a higher training effect can be obtained.

  Therefore, the burden on the trainer can be reduced and the user can be effectively trained.

  If the video file and the audio file are stored in the video / audio storage unit 202, it is possible to reduce the man-hours for producing the video file and the audio file used in the online training.

  Further, by continuing the training using the online training cloud server 111, a higher training effect can be obtained.

  In addition, the same effects can be obtained in the online training method and the online training program.

  Further, according to the online training cloud server 111, the number of acquisitions and reproductions according to the audio file is set, so that the user can perform the training while confirming his / her own learning level. For this reason, the user can acquire training reliably.

  Also, according to the online training cloud server 111, online training and in-store training are also added to the number of acquisitions and the learning level is calculated, so that it is easy to match the user's usage environment. Moreover, since such a learning level is automatically calculated, it is possible for the store side to reduce the work to be added to the number of times of learning and learning. Therefore, the cloud server 111 for online training is highly convenient.

  In addition, according to the cloud server 111 of this online training, even when the user performs the same training by associating a number of points to remember correctly for training with one video file as a plurality of audio files, You can hear different points of attention as audio. It is possible to acquire the user's learning level for each audio file, determine the first audio file whose learning level is less than a certain value, and automatically distribute the determined audio file together with the video file.

  Further, according to the cloud server 111 of this online training, the user's acquisition level is acquired for each audio file, and the audio file having the lowest acquisition level is determined from among the audio files whose acquisition level is less than a certain value. The audio file determined together with the video file can be automatically distributed.

  Further, according to the cloud server 111 for online training, it is possible to determine the first audio data from the audio data ordered in advance and automatically distribute the audio data determined together with the video data.

  Further, according to the cloud server 111 of this online training, when a second period of time has elapsed after playing an audio file, the user has forgotten the contents of the first time, There is a possibility that it cannot be learned by the second playback. For this reason, if a certain period of time has passed, the user can perform training correctly because the audio file of the training performed last time is selected.

  Also, according to the online training cloud server 111, even if the playback time of the video file and the playback time of the audio file are different, the playback time of the audio file is changed to be equal to the playback time of the video file. The user can perform training without a sense of incongruity.

  In addition, the technique demonstrated in the said aspect can be implement | achieved in the following types of cloud services, for example. However, the types of cloud services in which the technology described in the above aspect is realized are not limited to these.

(Service type 1: In-house data center type cloud service)
FIG. 25 is a diagram showing an overview of services provided by the online coaching system in service type 1 (in-house data center type cloud service).

  As shown in FIG. 25, in this type, the service provider 3120 acquires information from the coaching group 100 and provides a service to the user. In this type, the service provider 3120 has a function of a data center operating company. That is, the service provider 3120 has a cloud server 111 that manages big data. Therefore, there is no data center operating company.

  In this type, the service provider 3120 operates and manages a data center (cloud server) 3203. The service provider 3120 manages an operating system (OS) 3202 and an application 3201. The service provider 3120 provides a service using the OS 3202 and the application 3201 managed by the service provider 3120 (arrow 3204).

(Service type 2: Cloud service using IaaS)
FIG. 26 is a diagram illustrating an overall image of a service provided by the online coaching system in service type 2 (IaaS-based cloud service). Here, IaaS is an abbreviation for infrastructure as a service, and is a cloud service provision model that provides a base for constructing and operating a computer system as a service via the Internet.

  As shown in FIG. 26, in this type, the data center operating company 110 operates and manages a data center (cloud server) 3203. The service provider 3120 manages the OS 3202 and the application 3201. The service provider 3120 provides a service using the OS 3202 and the application 3201 managed by the service provider 3120 (arrow 3204).

(Service type 3: Cloud service using PaaS)
FIG. 27 is a diagram showing an overview of services provided by the online coaching system in service type 3 (PaaS use type cloud service). Here, PaaS is an abbreviation for Platform as a Service, and is a cloud service provision model that provides a platform serving as a foundation for constructing and operating software as a service via the Internet.

  As shown in FIG. 27, in this type, the data center operating company 110 manages the OS 3202 and operates and manages the data center (cloud server) 3203. The service provider 3120 manages the application 3201. The service provider 3120 provides a service using the OS 3202 managed by the data center operating company 110 and the application 3201 managed by the service provider 3120 (arrow 3204).

(Service type 4: Cloud service using SaaS)
FIG. 28 is a diagram showing an overall image of a service provided by the online coaching system in service type 4 (SaaS-based cloud service). Here, SaaS is an abbreviation for software as a service.

  As shown in FIG. 28, the SaaS-based cloud service is an application provided by a platform provider that has a data center (cloud server), for example, a company or an individual that does not have a data center (cloud server). Is a cloud service provision model having a function that can be used by a user such as the Internet via a network such as the Internet.

  In this type, the data center operating company 110 manages the application 3201, manages the OS 3202, and operates and manages the data center (cloud server) 3203. Further, the service provider 3120 provides a service using the OS 3202 and the application 3201 managed by the data center operating company 110 (arrow 3204).

  As described above, in any cloud service type, the service provider 3120 provides a service. In addition, for example, the service provider or the data center operating company may develop an OS, an application, a big data database, or the like, or may be outsourced to a third party.

  As described above, the embodiments have been described as examples of the technology in the present disclosure. For this purpose, the accompanying drawings and detailed description are provided.

  Accordingly, among the components described in the accompanying drawings and the detailed description, not only the components essential for solving the problem, but also the components not essential for solving the problem in order to illustrate the above technique. May also be included. Therefore, it should not be immediately recognized that these non-essential components are essential as those non-essential components are described in the accompanying drawings and detailed description.

  Moreover, since the above-mentioned embodiment is for demonstrating the technique in this indication, a various change, replacement, addition, abbreviation, etc. can be performed in a claim or its equivalent range.

  The present invention provides an online training server device that can create optimal content at the optimal timing when content to be used for training is added, updated, or deleted regularly or irregularly. It is useful as a training method and online training program.

  That is, the present invention is useful not only for exercises such as fitness, rehabilitation, and sports training, but also for learning systems such as instruction for handling devices and cram schools. Moreover, in the industry which manufactures, sells, provides, and uses the online system and the like, it can be used in a management, continuous, and repetitive manner.

DESCRIPTION OF SYMBOLS 100 Coaching group 101 Trainer 102 Trainer equipment 110 Data center management company 111 Cloud server 120 User group 121 User 122 User equipment 201 Member information storage part 202 Video / audio storage part 203 Content meta storage part 204 Audio meta storage part 205 Store history storage part 206 Training menu storage unit 207 Training history storage unit 208 Store program information storage unit 209 Video / audio registration control unit 210 Video / audio distribution control unit 220 Video distribution unit 221 Screen information storage unit 222 Communication unit 223 Main control unit 300 Network 301 Member information list 302 New Member Information Registration Screen 303 Registration Button 320 Content Metadata Information 330 Audio Metadata Information 401 Video / Audio Registration Screen 402, 411 Search button 403 Video / audio registration button 410 Audio registration screen 412 Audio registration button 501 Personal training menu list 502, 503, 504 Personal training menu 510 User selection screen 511 Creation necessity mark 512, 514 Selection button 513 User list 520 Personal training creation Screen 521 Menu name input frame 522 Contents list 523 Registration button 524 Check mark 525 Check-in 530 Personal training screen 531 Personal training information 532 Play all button 533, 534 Play button 540 Content play screen 701, 702 Configuration information 710, 711 Schedule information 730 Store history information 800 Top screen 801 Visit button 802 Exit button 803 Prog Reservation button 804 Visit status display frame 810 Program reservation management screen 811 Program list 813 Reserved button 814, 815 Reservation button 816 Return to top screen 901, 902, 903 Training history 3120 Service provider 3201 Application 3202 OS
3203 Data Center (Cloud Server)

Claims (10)

An online training server device for a user to perform training while playing training content online,
A storage unit storing video data to be distributed as the content and a plurality of audio data corresponding to the video data;
A control unit that selects the video data and one audio data among the plurality of audio data as the training content from the storage unit;
The controller is
In selecting the content, one audio is selected from the plurality of audio data corresponding to the video data in accordance with the training level of the user based on the number of reproductions of each of the plurality of audio data reproduced by the user. Select the data Online training server device. The learning level is calculated by dividing the number of times of reproduction of the audio data reproduced by the user by the number of times of learning reproduction that is a value determined depending on one selected audio data in order for the user to acquire training. The server device for online training according to claim 1. The learning level is a value obtained by adding the number of times the user has visited the store and received the guidance directly from the trainer to perform the training to the number of times the audio data reproduced by the user has been reproduced. The online training server device according to claim 1, wherein the online training server device is calculated by dividing by the number of acquisitions and learning times, which is a value determined depending on one selected voice data. The plurality of audio data corresponding to the video data is a natural number N of audio data ordered in advance,
The controller is
It is determined whether or not the learning level of the natural number M-th speech data that is a value of N or less is less than a certain value,
When the learning level of the Mth audio data is less than the predetermined value, the Mth audio data is selected,
When the learning level of the Mth audio data is equal to or greater than the predetermined value, and M + 1> N, the first audio data is selected,
2. When the learning level of the M-th speech data is equal to or greater than the predetermined value and M + 1 ≦ N, it is determined whether or not the learning level of the M + 1-th speech data is less than a certain value. The server apparatus of online training of any one of -3. The controller is
The online training server device according to any one of claims 1 to 4, wherein the voice data having the lowest learning level is selected from the plurality of voice data corresponding to the video data. The controller is
Determining whether a user attribute that is information about the user satisfies a target attribute that is information about a trainer for a predetermined user;
When the user attribute satisfies the target attribute, the user attribute satisfies the target attribute, and the learning level is determined to be one voice data from less than a certain value,
The online training server device according to claim 4, wherein one voice data is determined from the N pieces of voice data when the user attribute does not satisfy the target attribute. The storage unit stores a history of training performed by a user who performed the training,
The controller is
From the history, it is determined whether or not the period of the previous training and the current training is within a certain period,
The online training server apparatus according to any one of claims 1 to 6, wherein if the period is not within a certain period, the voice data of the training performed last time is selected. The controller is
Determining whether the playback time of the acquired video data and the playback time of the selected one audio data match,
The playback time of the audio data is changed to be equal to the playback time of the video data when the playback time of the video data and the playback time of the audio data are different. The online training server device described. An online training method that helps users conduct training while playing online training content,
A storage step of storing video data to be distributed as the content and a plurality of audio data corresponding to the video data;
A control step of selecting the video data and one of the plurality of audio data as the training content,
The control step includes
In selecting the content, one audio is selected from the plurality of audio data corresponding to the video data in accordance with the training level of the user based on the number of reproductions of each of the plurality of audio data reproduced by the user. Select data Online training method. An online training program for causing a computer to execute the online training method according to claim 9.

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