Video distribution device, video distribution method, and video distribution system

Abstract

To provide a video distribution device capable of shortening a time required to select an exercise video to be viewed.SOLUTION: A video distribution device includes a memory unit that stores exercise videos distributed via the Internet to a device on which a user views the videos, an information acquisition unit that acquires physical information of the user, a candidate determination unit that uses the physical information acquired by the information acquisition unit to determine candidate videos suitable for the user, and a display instruction unit that displays the candidate videos determined by the candidate determination unit on the device and plays one of the selected candidate videos in accordance with a user selection.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to a video distribution device, a video distribution method, and a video distribution system. [Background technology]

[0002] Methods for determining a product or service suitable for a user have been studied for some time. For example, the system disclosed in Patent Document 1 acquires data and / or information about a user, calculates a score that represents the user's characteristics in a multidimensional manner based on the acquired data and / or information about the user, and uses the score to determine a product or service suitable for the user. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2022-137865 A Summary of the Invention [Problem to be solved by the invention]

[0004] In the technology disclosed in Patent Document 1, at least two of information on personality, information on money, and information on health are included as data and / or information on a user, and a score is calculated based on this information to determine a suitable product or service. However, there is no specific indication of what products or services are suitable for a user. Therefore, in a fitness video provision service, it has been difficult to provide a suitable video to a user.

[0005] The present invention has been made in consideration of such problems, and aims to provide a video distribution device, a video distribution method, and a video distribution system that can reduce the time required to select an exercise video to watch by providing a fitness video that is suitable for the user. [Means for solving the problem]

[0006] The video distribution device of the present invention comprises a memory unit that stores exercise videos distributed via the Internet to a device on which a user views the videos; an information acquisition unit that acquires physical information of the user; a candidate determination unit that uses the physical information acquired by the information acquisition unit to determine candidate videos suitable for the user; and a display instruction unit that displays the candidate videos determined by the candidate determination unit on the device and plays one of the selected candidate videos in accordance with a user's selection.

[0007] The video distribution method of the present invention is a video distribution method that distributes exercise videos to a device on which a user watches via the Internet using a video distribution device. The video distribution device acquires physical information of the user, determines suitable candidate videos for the user using the acquired physical information, displays the determined candidate videos on the device, and plays one of the selected candidate videos in response to a user selection.

[0008] The video distribution system of the present invention includes a video distribution device that distributes exercise videos to a device on which a user watches via the Internet, and a physical information acquisition device that acquires physical information of the user. The video distribution device acquires the physical information of the user acquired by the physical information acquisition device, determines suitable candidate videos for the user using the physical information acquired by the physical information acquisition device, displays the determined candidate videos on the device, and plays one of the selected candidate videos in response to a user selection. Effect of the Invention

[0009] According to the video distribution device, video distribution method, and video distribution system of the present invention, it is possible to determine suitable candidate videos for a user using the user's individual physical information, thereby reducing the time it takes for the user to select an exercise video to watch. [Brief description of the drawings]

[0010] [Figure 1] FIG. 1 is a schematic configuration diagram of a video distribution system. [Diagram 2] FIG. 2 is a diagram illustrating a hardware configuration of a video distribution device. [Diagram 3] 1 is a flowchart showing a video distribution method. [Figure 4A] 4 is an example of a display screen on a mirror type device in step S1 of FIG. 3. [Figure 4B] 4 is an example of a display screen on a mirror type device in step S1 of FIG. 3. [Figure 4C] 4 is an example of a display screen on the mirror type device in step S4 of FIG. 3. [Figure 4D] 4 is an example of a display screen on the mirror type device in step S4 of FIG. 3. [Figure 4E] 4 is an example of a display screen on the mirror type device in step S4 of FIG. 3. [Figure 4F] 4 is an example of a display screen on the mirror type device in step S4 of FIG. 3. [Figure 5A] 4 is an example of a display screen on a personal device in step S1 of FIG. 3. [Figure 5B] 4 is an example of a display screen on a personal device in step S3 of FIG. 3. [Figure 5C] 4 is an example of a display screen on a personal device in step S4 of FIG. 3. [Figure 6] 4 is a flowchart showing details of the process in step S4 of FIG. 3. [Figure 7A] FIG. 6 is a diagram showing an example of data to be processed in step S41 of FIG. 5. [Figure 7B]FIG. 6 is a diagram showing an example of data to be processed in steps S42 and S43 in FIG. 5. [Figure 7C] FIG. 6 is a diagram showing an example of data to be processed in step S44 of FIG. 5. [Figure 7D] FIG. 6 is a diagram showing an example of a processing result in step S44 of FIG. 5. [Figure 8] 6 is a flowchart showing details of the process of step S42 in FIG. 5. [Figure 9] 13 is a flowchart showing a modified example of a video distribution method. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0011] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings. In the following description, the same components are given the same reference numerals, and duplicated description will be omitted.

[0012] 1 is a schematic diagram of a video providing system. The video providing system 10 includes a mirror type device 1, a personal device 2, a body composition meter 3, a smart watch 4, and a video providing apparatus 5. The mirror type device 1, the personal device 2, and the video providing apparatus 5 are connected to the Internet 6 via a wired or wireless connection. In this example, the body composition meter 3 and the smart watch 4 are configured to be able to communicate with the Internet 6 via the personal device 2. The body composition meter 3 and the smart watch 4 may be connected to the Internet 6 directly without going through the personal device 2, or may be connected to the Internet 6 via the mirror type device 1.

[0013] Due to this configuration, the mirror type device 1, the personal device 2, the body composition scale 3, the smart watch 4, and the video providing device 5 can communicate with each other. In the video providing system 10, an exercise video that serves as a reference for the user when exercising (for example, a video in which the user imitates the exercise of an instructor according to the instructor's instructions, hereinafter simply referred to as a video) is distributed to one or both of the mirror type device 1 and the personal device 2. Note that, hereinafter, an example in which a video is displayed on the mirror type device 1 will be mainly described, but the device on which the video is displayed is not limited.

[0014] The mirror type device 1 is a relatively large, plate-like device supported by legs. The mirror type device 1 includes a touch panel 11 and a camera 12, and is configured so that the touch panel 11 and the camera 12 can be controlled by a control unit provided inside. The entire surface of the mirror type device 1 is configured as a semi-transparent mirror surface. A user can operate the touch panel 11, and the camera 12 is exposed on the surface, allowing the user to be photographed by the camera 12.

[0015] A video provided by a video providing device 5 is displayed on the touch panel 11 of the mirror type device 1, and the user can exercise while viewing the video and his / her own reflected image in comparison. The mirror type device 1 is preferably vertically long so that the entire body of the user can be displayed. In addition, the mirror type device 1 may be configured to facilitate user authentication by using face recognition or the like. In addition, the video may be live-streamed so that two-way communication with the instructor is possible, and a reservation for viewing the live-streamed video can be made by the mirror type device 1 or the personal device 2.

[0016] The personal device 2 is, for example, an information and communication device such as a smartphone, a tablet, or a personal computer, and is operated by a user. In this example, the personal device 2 is operated by the same user as the mirror type device 1, and is configured to be able to watch videos provided by the video providing device 5. The personal device 2 also acquires lifestyle information such as the number of steps taken by the user. The user may input lifestyle information such as meal contents to the personal device 2.

[0017] The body composition meter 3 is a device capable of measuring physical information related to the body composition of the user, such as weight, body fat percentage, etc. The measured physical information of the user is transmitted to the video providing device 5. The body composition meter 3 is an example of a physical information acquisition device.

[0018] The smart watch 4 is a health management device configured to be able to measure the user's heart rate and blood pressure. The user's physical information such as heart rate and blood pressure can be acquired not only during daily life but also during exercise. The smart watch 4, like the body composition meter 3, is an example of a physical information acquisition device.

[0019] The video providing device 5 stores a plurality of videos (exercise videos) and selects a video recommended for viewing by the user in response to the user's operation, and displays it on the mirror type device 1 and the personal device 2. The video providing device 5 can select and provide a video suitable for the user by using lifestyle information acquired by the personal device 2 and physical information acquired by the body composition scale 3 and the smart watch 4.

[0020] 2 is a diagram showing a hardware configuration of the moving image providing device 5. The moving image providing device 5 includes a control unit 51 configured with a CPU (Central Processing Unit) and / or a GPU (Graphics Processing Unit) for overall control, a storage unit 52 configured with a ROM (Read Only Memory), a RAM (Random Access Memory), and / or a hard disk, etc., for storing programs and various data, a communication unit 53 for communicating via the Internet 6, a display unit 54 for displaying data on the mirror type device 1 and the personal device 2 via the Internet 6, and an input unit 55 for receiving input from the mirror type device 1 and the personal device 2 via the Internet 6.

[0021] The control unit 51, the storage unit 52, the communication unit 53, the display unit 54, and the input unit 55 are interconnected and configured to be able to communicate with each other within the moving image providing device 5. The moving image providing device 5 is configured to be able to execute predetermined processes by executing programs stored in the storage unit 52. The hardware configuration of the moving image providing device 5 shown in this figure is one example, and it is sufficient that the moving image providing device 5 is configured to be able to execute predetermined processes by operating in accordance with the stored programs.

[0022] The control unit 51 can execute various processes by executing a program, and includes physical and logical processing blocks for executing these processes. In detail, the control unit 51 includes an information acquisition unit 511, a candidate determination unit 512, a display instruction unit 513, and an exercise evaluation unit 514. The information acquisition unit 511 acquires lifestyle information acquired by the personal device 2 and physical information of the user acquired by the body composition meter 3 and the smart watch 4. The candidate determination unit 512 determines candidates for videos to be provided to the user. The display instruction unit 513 displays the determined candidate videos on the mirror type device 1 and plays a video according to the selection. The exercise evaluation unit 514 measures the reproduction rate of the instructor's exercise in the video for the user's movements captured by the camera 12 during playback of the video on the mirror type device 1. In addition to the information acquisition unit 511, the candidate determination unit 512, the display instruction unit 513, and the exercise evaluation unit 514, the control unit 51 may include other blocks for realizing other functions.

[0023] The memory unit 52 is configured to be capable of storing any information, and in addition to the program executed by the control unit 51, any information such as video data delivered to the mirror type device 1, and the user's lifestyle information and physical information is stored.

[0024] FIG. 3 is a flowchart for explaining video provision control performed by the video providing device 5. The video providing device 5 determines video candidates suitable for the user, displays the candidate videos on the mirror type device 1, and then plays the video selected by the user. As described above, the display of the candidate videos or the playback of the videos may be performed on the personal device 2. Also, FIGS. 4A to 4F show example images displayed on the mirror type device 1 in correspondence with the operations of steps S1 and S4 in FIG. 3. Also, FIGS. 5A to 5C show example images displayed on the personal device 2 in correspondence with the operations of steps S1, S3, and S4 in FIG. 3.

[0025] In step S1, the video providing device 5 displays a message prompting the user to input a desired exercise category, and receives the desired input.

[0026] Fig. 4A is a start screen displayed on the mirror type device 1, and an area 611 shows a button for accepting a request to start a diagnosis required for selecting a video. An area 612 shows a display indicating that the diagnosis will be performed later if selected. When the area 611 is selected on Fig. 4A, Fig. 4B is displayed on the mirror type device 1.

[0027] In FIG. 4B, a display such as "What is the purpose of exercise?" (area 621) is displayed to prompt the user to input the purpose of exercise, along with buttons to select one of the purposes, "diet" (area 622), "body make-up" (area 623), "stress relief / mental care" (area 624), and "improvement of physical condition" (area 625). The video providing device 5 accepts the input of the user's purpose in response to the user's selection from areas 622 to 625. A "BACK" button (area 626) may be provided to prompt the user to transition back to the previous screen.

[0028] FIG. 5A is an example of an image displayed on the personal device 2. This screen displays a message prompting the user to input the purpose of exercise. For example, a pop-up area 71 displays a message prompting the user to input the purpose of exercise, such as "How are you feeling right now?", and buttons to select one of the purposes, "I want to lose weight" (area 711), "I want to relax" (area 712), and "I want to build muscle" (area 713). The video providing device 5 accepts the input of the user's purpose in response to the user's selection in areas 711 to 713.

[0029] In step S2, the video providing apparatus 5 receives physical information acquired by the mirror type device 1 and the body composition scale 3. For example, the video providing apparatus 5 receives the user's weight, muscle composition, and the like acquired by the body composition scale 3. The mirror type device 1 can also measure specific body parts such as height, upper arms, abdominal circumference, thighs, and waist circumference (hips) from a whole-body image of the user captured by the camera 12, and transmits this physical information to the video providing apparatus 5. The height may be input by the user to the mirror type device 1 or the personal device 2.

[0030] Furthermore, the video providing device 5 accepts a specific request from the user at any timing. For example, any information such as a request to lose weight in the upper arms or feeling a little tired may be accepted. Such any information may be accepted at any timing. For example, the request may be accepted before or after the display of FIG. 4B or FIG. 5A in the processing of step S1. Furthermore, if it is detected in the process of acquiring physical information in step S2 that the left and right sides of the user's body are out of balance, the same operation may be performed as when the user requests improvement of the distortion of the user's body.

[0031] In step S3, the video providing apparatus 5 receives lifestyle information from the personal device 2. The lifestyle information may include not only the user's behavior history but also meal contents and the like. Fig. 5B is a diagram showing an example in which the lifestyle information acquired by the personal device 2 is displayed on the personal device 2, but the same screen may be displayed on the mirror type device 1.

[0032] According to this figure, the number of steps taken by the user (area 721), workout time indicating the time spent exercising while watching videos (area 722), and the total calories burned in one day (area 723) are shown as examples of lifestyle information. Also, area 724 at the bottom of the screen shows a list of videos that the user is encouraged to watch. Note that area 724 may randomly display videos stored by the video providing device 5, or may reuse and display past candidate videos.

[0033] In step S4, the video providing device 5 determines a plurality of candidate videos to be candidates for the video to be provided to the user. Details of the candidate video determination process will be described later with reference to Fig. 5. Then, the video providing device 5 causes the mirror type device 1 to display the candidate videos determined in step S4.

[0034] 4C is a display example of the candidate video on the mirror type device 1. According to this example, the candidate video determined in step S4 is displayed in an area 631. Note that a "BACK" button (area 632) for prompting a transition to return to the previous screen, a "NEXT" button (area 633) for prompting a transition to proceed to the next screen, and a button (area 634) indicating "Diagnose Again" for prompting a re-execution of the diagnosis may also be provided.

[0035] Fig. 4D is a diagram showing the screen after the "NEXT" button (area 633) is pressed in Fig. 4C. According to this diagram, area 641 at the top of the screen shows progress on a weekly basis. Specifically, the total exercise time for that week (area 6411), the total calories burned through exercise (6412), and the progress rate of the amount of exercise for each day relative to the goal (area 6413) are shown. Further below, there are provided operation buttons (area 6414) for receiving exercise goal settings.

[0036] In addition to the candidate videos shown in Fig. 4C, other candidate videos are displayed in area 642 in the center of the screen. Furthermore, a button (area 643) labeled "Diagnose" for performing the process of step S1 again may be displayed. Also, at the bottom of the drawing, an icon (area 6441) for transitioning to the home screen, an icon (area 6442) for selecting a lesson, an icon (area 6433) for watching a live-streamed video, and an icon (area 6444) for taking a personal lesson are displayed.

[0037] Fig. 4E is a diagram showing an example of the candidate videos shown in area 631 of Fig. 4C and area 642 of Fig. 4D. According to this diagram, areas 651-653 show different videos that are recommended to be performed on days 1 to 3, and areas 651-653 show thumbnails of the videos, the time required, the level of difficulty, and the calories burned. Areas 6441-6444 at the bottom of the diagram show icons similar to those in Fig. 4D.

[0038] Fig. 4F is an example of candidate videos determined in accordance with the desires input in step S2. According to this figure, areas 661-663 show videos that are effective for the bust, arms, and waist, respectively. Also, like areas 651-653 in Fig. 4E, thumbnails of the videos, the time required, the level of difficulty, and the calories burned are shown.

[0039] 5C is a diagram showing an example of candidate videos displayed on the personal device 2. In this example, the video determined to be the most suitable for the user is displayed relatively large in the center (area 731), and the videos determined to be the second and third most suitable are displayed relatively small below it, in order from left to right (areas 732, 733).

[0040] In step S5, when the video providing device 5 accepts the selection of one of the candidate videos, it causes the mirror type device 1 to play the selected video. While the video is being played on the mirror type device 1, the camera 12 captures the user's exercise, and measures the user's reproduction rate of the instructor's exercise in the video. While playing the video, the video providing device 5 may appropriately display a prompt to the user to reproduce the exercise accurately, or may display the calories burned according to the user's exercise reproduction rate. In addition, the changes in the user's blood pressure and heart rate during exercise acquired by the smart watch 4 may be stored together with the user's video viewing results.

[0041] In detail, the above-mentioned processes of S1 to S5 are executed by functional blocks included in the control unit 51 of the moving image providing device 5. The input of requests and the like is accepted in step S1 by the candidate determining unit 512. The acquisition of physical information in step S2 and the acquisition of lifestyle information in step S3 are performed by the information acquiring unit 511. The candidate moving images are determined in step S4 by the candidate determining unit 512. In step S5, the provision of moving images is performed by the display instructing unit 513, and the measurement of the movement reproducibility is performed by the movement evaluating unit 514.

[0042] Fig. 6 is a flow chart showing details of the candidate moving image determination process in step S4 in Fig. 3. Also, Figs. 7A to 7D show tables used in the candidate moving image determination process.

[0043] In step S41, the video providing device 5 acquires detailed exercise information for each video. Fig. 7A shows a list of videos including detailed exercise information. The detailed exercise information includes the calories burned, muscle load, and difficulty level when performing the same exercise as that video, as well as special notes for the video. The detailed exercise information is set in advance for each video.

[0044] Calories burned are calculated by breaking down the movements in the video into individual movements and summing up the calories burned by each movement. The calories burned may be calculated by multiplying the sum of METs (metabolic equivalents, a value indicating how many times the energy consumed by an exercise is compared to that at rest) per movement by the body weight and the duration of the exercise. Muscular load indicates the load on the muscles when the same exercise as in the video is performed. Even if the movements consume the same calories, the load on the muscles differs between when the exercise is performed for a short period of time and when it is performed for a long period of time. Therefore, the muscular load is calculated mainly based on METs per hour, for example, METs per minute. Similarly, even if the movements consume the same calories, the difficulty level differs depending on the movements that make up the exercise, so the difficulty level is determined based on statistical data on the user's movement reproduction rate, questionnaires, etc. In addition, special notes include explanations for the videos, such as that it has a specific effect (video 1 in the figure, "improved posture"), that it is effective for specific parts of the body (video 2, "slimming arms" and video 3, "slimming abdomen"), and that it is not recommended for elderly people if the muscular load is high (video 4 in the figure, "not recommended for users over 60 years old"). These exercise details are set in advance for each video.

[0045] In step S42, the video providing device 5 corrects the detailed exercise information of each video for each user. Details of this correction process are shown in FIG. 8, and will be described later. The upper part of FIG. 7B shows the correction result. As shown in this figure, the calories burned, muscle load, and difficulty level are corrected for each user for each video acquired in step S41.

[0046] In step S43, the video providing device 5 evaluates each video for each objective based on the exercise detail information corrected in step S42, and classifies the videos into levels according to the obtained evaluation results. Such evaluation results for each video and level classification for each objective are shown in the lower part of Fig. 7B. In the example of this figure, the evaluation results are shown as points (P), but the evaluation method is arbitrary.

[0047] For example, as shown in the lower part of Fig. 7B, for purpose 1 "diet", the evaluation result is shown in points with emphasis on calories burned, and with consideration of muscle load and difficulty. For purpose 2 "body make", the evaluation result is shown in points with emphasis on muscle load, and for purpose 3 "relax", the evaluation result is shown in points with emphasis on difficulty, and with consideration of other detailed exercise information.

[0048] In addition, the objectives 1 to 3 correspond to "diet" (area 622), "body make-up" (area 623), and "stress relief and mental care" (area 624) in Fig. 4B, and correspond to "want to lose weight" (area 711), "want to relax" (area 712), and "want to build muscle" (area 713) in Fig. 5A. In addition, the lower part of Fig. 7B does not show an objective corresponding to "improvement of illness" (area 625) in Fig. 4B.

[0049] After that, the video providing device 5 classifies each video into a level according to the evaluation result (points) for each purpose. For example, if it is less than 30, the level is "none", if it is 30 or more and less than 50, the level is "low", if it is 50 or more and less than 70, the level is "medium", and if it is 70 or more, the level is "high".

[0050] In step S44, the video providing device 5 classifies each video into a category according to the purpose and level determined in step S43. FIG. 7C shows a specific example of the categories. For purpose 1 "diet", purpose 2 "body makeover", and purpose 3 "relaxation", the high, medium and low levels are classified into categories 1 to 3, 4 to 6, and 7 to 9, respectively. Note that when classifying the video into levels in step S43, a purpose classified as "no level" is not classified into a category for that purpose. Note that these levels mean that the higher the level, the more easily the purpose can be realized.

[0051] For example, video 1 is classified into category 1 because it is a high level for purpose 1, into category 5 because it is a medium level for purpose 2, and into category 8 because it is a medium level for purpose 3. In this way, video 1 belongs to categories 1, 5, and 8. Similar categorization is performed for other videos. In this way, multiple videos that belong to each of the categories set for each purpose and level are determined.

[0052] In addition, in the process of classifying the levels of each video in the lower part of Fig. 7B, the video providing device 5 may change the level of the purpose with the lowest evaluation result (points) among the levels set for purposes 1 to 3 to "none", or may set a level only for the purpose with the highest evaluation result (points) and change the other purposes to "none". In this way, when classifying the videos into each category shown in Fig. 7C, it is possible to prevent the same video from being overlapped and present in multiple purposes, and therefore it is possible to classify the categories that are more closely associated with the purposes.

[0053] In step S45, the video providing device 5 selects one level for each purpose based on the physical information. Furthermore, for the purpose input in step S2, a level one level higher than the selection based on the physical information is determined. Fig. 7E shows a specific example of level selection, and the part surrounded by a thick frame indicates the category selected according to the purpose and level.

[0054] For the purpose 1 "diet," the BMI (Body Mass Index (height)) was calculated using the height and weight of the body information. 2 Levels are selected based on BMI (body mass / body weight). Specifically, if the BMI is 25 or greater, a high level is selected, if the BMI is 18.5 or greater but less than 25, a medium level is selected, and if the BMI is less than 18.5, a low level is selected.

[0055] In Objective 2 "Body Make", a level is selected based on the measured muscle composition (ratio). In detail, the level selection method differs between men and women, and for men, if the muscle composition is 38 or more, a high level is selected, if it is 32 or more and less than 38, a medium level is selected, and if it is less than 32, a low level is selected. For women, if the muscle composition is 32.5 or more, a high level is selected, if it is 26.5 or more and less than 32.5, a medium level is selected, and if it is less than 26.5, a low level is selected.

[0056] Objective 3 "Relax" is determined according to the combination of the levels of objective 1 "Dieting" and objective 2 "Bodybuilding". If objective 1 is high level and objective 2 is high level, if objective 1 is high level and objective 2 is medium level, or if objective 1 is medium level and objective 2 is high level, then objective 3 "Relax" will be high level. If objective 1 is low level and objective 2 is medium level, or if objective 1 is low level and objective 2 is low level, then objective 3 "Relax" will be low level. In cases other than those mentioned above, objective 3 "Relax" will be medium level.

[0057] In the example of FIG. 7D, the user's physical information is male, BMI is 20, muscle composition is 30, and further, purpose 2 is selected by the user. For purpose 1 "diet", a medium level is selected according to the BMI. For purpose 2 "body make", the level is medium according to the muscle composition, but since it has been selected by the user, a high level, which is one level higher, is set. Then, according to the combination of purposes 1 and 2, purpose 3 "relax" is set to a high level. In this way, a category for each purpose is determined as shown by the thick frame.

[0058] In step S46, the video providing device 5 determines one of the videos belonging to the category selected in step S45 corresponding to each purpose as a candidate video to be displayed on the mirror type device 1. The video providing device 5 randomly selects one of the videos belonging to the category. Note that if the same video is selected for multiple purposes, the candidate video is reselected.

[0059] When a specific request of the user is accepted in step S1 of FIG. 3, the video providing device 5 may select a video within a category according to the special notes of the video. For example, as another example, when a user desires to lose weight in the arms, video 2 having a special note stating that it is effective for the arms is selected. Video 4 having a special note stating that it is not recommended for people over 60 years old may not be determined as a candidate video if the user is over 60 years old. In this way, a video within a category may be selected according to the special note of the video.

[0060] In this manner, the video providing device 5 determines one candidate video for each selected category. Note that, as in the display example of the personal device 2 shown in Fig. 5C, the candidate video corresponding to the purpose input by the user in step S1 may be displayed large in area 66, and the candidate videos for other purposes may be displayed small in areas 67 and 68.

[0061] Fig. 8 is a diagram showing details of the correction process in step S42 in Fig. 6. As described above, this correction corrects the motion details of each video.

[0062] In step S421, the video providing device 5 corrects the exercise detail information based on the physical information. For example, since the muscular load changes mainly depending on age and muscle mass, the muscular load is corrected to be larger as the user gets older or the muscle mass decreases. The difficulty level is also corrected to be higher as the user gets older. When the muscular load or difficulty level increases, the evaluation result (points) in the level classification (step S43, FIG. 7C) increases, and the user is classified into a higher level. In this way, by correcting the exercise detail information based on physical information such as age and muscle mass, the category of the video is corrected according to the individual information of the user, so that a video suitable for the user can be set as a candidate video.

[0063] In step S422, the video providing device 5 corrects the detailed exercise information based on the lifestyle information. For example, the video providing device 5 calculates the calorie consumption that contributed to weight loss during exercise accompanied by watching the video using weight transition, meal contents, and lifestyle behavior, and corrects the calorie consumption of the video.

[0064] In step S423, the video providing device 5 performs a correction based on the past exercise results. For example, the correction is made so that the muscular load increases as the increase rate of blood pressure and heart rate during exercise acquired by the smart watch 4 increases. In addition, the calorie consumption may be calculated by multiplying the theoretical calorie consumption of the video theoretically calculated by the ratio of the user's body weight to the reference body weight and the movement reproduction rate of the past video.

[0065] In step S424, the video providing device 5 performs a correction based on the selection record of past videos. For example, for videos played within three days, all exercise details information may be corrected to zero. In this way, the evaluation result (points) in the level classification (step S43, FIG. 7C) is lowered. If the evaluation result (points) is below the threshold, no level is set for any purpose, and the video is no longer a candidate video. In addition, the exercise details information may be corrected using purposes and videos selected in the past.

[0066] In this way, by making corrections based on the user's physical information, lifestyle information, past exercise history, and past selection results, videos that suit the user become candidate videos, making it easier for the user to select videos.

[0067] According to the video providing device 5 of this embodiment, the candidate determination unit 512 determines, as a candidate video, a video that corresponds to the level set using the user's physical information from among the videos that have been classified into levels using the evaluation information. This makes it possible to determine a candidate video that is suitable for the user, thereby enabling the user to reduce the time required to select a video to watch, thereby improving usability.

[0068] Furthermore, according to the video providing device 5 of the present embodiment, a level is set for each exercise purpose of the user using detailed video information of calories burned, muscular load, and difficulty level that is stored in association with each video. In this way, the level of the video can be appropriately categorized by using calories burned, muscular load, and difficulty level, so that candidate videos can be determined by selecting videos with different levels based on physical information, thereby determining candidate videos that are more suitable for the user.

[0069] Furthermore, according to the video providing device 5 of this embodiment, the video detail information is corrected using the user's physical information and behavioral information, as well as the user's past exercise reproduction rate while watching videos and physical information during exercise, thereby making it possible to determine candidate videos that are more suitable for the user.

[0070] Furthermore, according to the video providing device 5 of the present embodiment, the candidate videos are displayed in an order according to the selected purpose. Also, for the selected purpose, when selecting candidate videos based on the body information, videos of a higher level are set as the candidate videos. In this way, candidate videos according to the purpose selected by the user are displayed, so that a candidate video more suitable for the user can be determined.

[0071] (Modification) In the above embodiment, as shown in Fig. 6, the motion details of the video are corrected based on the individual information of the user in step S42, and the level of the video is determined based on the corrected motion details, thereby determining a candidate video suitable for the user. In contrast, Fig. 9 shows a flowchart of a candidate video determination process of a modified example.

[0072] In the illustrated flowchart, compared to the example of Fig. 6, the correction process of the exercise detail information in step S42 is deleted, and in step S44A, the threshold value (shown in the lower part of Fig. 7D) used for categorization is changed based on the individual information of the user, and the category for each purpose of each video is determined using the changed threshold value. That is, in this example, candidate videos suitable for the user are determined by correcting the threshold value of the table used for selection shown in the lower part of Fig. 6D. Note that the correction in step S44A is performed based on physical information, lifestyle information, past exercise records, and past selection results, as shown in Fig. 8.

[0073] Even in this method of changing the threshold value when selecting a category, the video distribution device 5 can determine candidate videos suitable for the user based on the physical information, lifestyle information, past exercise records, and past selection results. In order to determine candidate videos suitable for the user based on the physical information, lifestyle information, past exercise records, and past selection results, any parameter used during the determination of the candidate videos may be corrected.

[0074] The present invention allows various embodiments and modifications without departing from the broad spirit and scope of the present invention. The above-described embodiments are for explaining the present invention and do not limit the scope of the present invention. That is, the scope of the present invention is indicated by the claims, not the embodiments. Various modifications made within the scope of the claims and the scope of the invention equivalent thereto are considered to be within the scope of the present invention. [Explanation of symbols]

[0075] 1 Mirrored Device 2. Personal Devices 3 Body composition monitor 4. Smartwatch 5. Video providing device 6. Internet 10 Video provision system 11 Touch Panel 12 Camera 51 Control section 511 Information Acquisition Department 512 Candidate Decision Department 513 Display instruction section 514 Exercise Evaluation Department

Claims

1. A storage unit that stores exercise videos that are distributed via the Internet to a device on which a user watches the videos; An information acquisition unit that acquires physical information of the user; a candidate determination unit that determines a suitable candidate video for the user by using the body information acquired by the information acquisition unit; A video distribution device comprising: a display instruction unit that displays the candidate videos determined by the candidate determination unit on the device and plays one of the selected candidate videos in accordance with a selection by the user.

2. The candidate determination unit setting a level for each exercise purpose of the user, using at least detailed video information of the exercise video stored in the storage unit, such as calories burned, muscular load, and difficulty level, which are stored in association with the exercise video; determining a level of the exercise video for each of the objectives using the physical information acquired by the information acquisition unit; The video distribution device according to claim 1 , wherein the exercise video to which the determined level for each of the determined objectives is set is determined as the candidate video.

3. a motion evaluation unit that uses captured data of the user during playback of the exercise video to evaluate a motion reproduction rate of the captured motion of the user relative to an ideal motion in the exercise video; The video distribution device according to claim 2 , wherein the candidate designator further determines the candidate videos by using the exercise reproduction rate obtained by the exercise evaluator for an exercise performed by the user in the past.

4. The information acquisition unit acquires the physical information of the user while the exercise video is being played back, The video distribution device according to claim 3 , wherein the candidate designator further determines the candidate videos by using the physical information acquired by the information acquirer during a past exercise performed by the user.

5. The information acquisition unit acquires daily behavior information of the user, The video distribution device according to claim 2 , wherein the candidate designator is configured to determine the candidate videos by using at least one of the physical information and the behavioral information of the user acquired by the information acquirer.

6. The display instruction unit is determining a display order of the candidate videos according to a purpose selected by the user; The video distribution device according to claim 1 , wherein the candidate videos are displayed on the device in accordance with the determined display order.

7. The display instruction unit is The video distribution device according to claim 6 , wherein, for the purpose selected by the user, exercise videos having a higher feasibility level for the purpose than a level set by the candidate designator are displayed on the device.

8. A video distribution method for distributing exercise videos to a device on which a user watches the video via the Internet using a video distribution device, comprising: The video distribution device includes: Acquire physical information of the user; Using the acquired physical information, determining suitable candidate videos for the user; The video distribution method includes displaying the determined candidate videos on the device, and playing one of the selected candidate videos in response to a selection by the user.

9. A video distribution system including a video distribution device that distributes exercise videos to a device on which a user watches the video via the Internet, and a physical information acquisition device that acquires physical information of the user, The video distribution device includes: Acquiring the physical information of the user acquired by the physical information acquisition device; determining suitable candidate videos for the user using the physical information acquired by the physical information acquisition device; The video distribution system displays the determined candidate videos on the device, and plays one of the selected candidate videos in response to a selection by the user.

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