JP7162613B2 - Information processing device, program - Google Patents

Description

The present invention relates to an information processing apparatus and program.

It is known that there is a correlation between walking motion and human body characteristics. In other words, the characteristics of the human body can be known by looking at the walking motion. For example, Japanese Patent Application Laid-Open No. 2017-6305 discloses a technique for evaluating the physical strength of a subject based on walking parameters that indicate walking conditions.

Recent studies have revealed that there is a correlation between human walking motion and the beauty of human motion.

However, the technique disclosed in Japanese Patent Application Laid-Open No. 2017-6305 only evaluates physical strength, and cannot evaluate the beauty of movement.
In other words, the conventional technology cannot evaluate the beauty of motion from walking motion.

An object of the present invention is to evaluate the beauty of motion from walking motion.

One aspect of the present invention is
An information processing device for evaluating the beauty of motion of a subject,
A means for acquiring a moving image of a walking subject,
means for extracting walking speed, walking posture, and motion frequency by analyzing the moving image;
means for calculating a first parameter based on the correlation between walking speed and beauty;
comprising means for calculating a second parameter based on the correlation between walking posture and beauty;
means for calculating a third parameter based on the correlation between motion frequency and beauty;
The information processing apparatus includes means for calculating a beauty score of the motion using the first to third parameters.

ADVANTAGE OF THE INVENTION According to this invention, the beauty of a motion can be evaluated from a walking motion.

1 is a schematic diagram of an information processing system according to an embodiment; FIG. 2 is a block diagram showing the configuration of the information processing system in FIG. 1; FIG. BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is an explanatory diagram of the outline of this embodiment; 4 is a diagram showing the data structure of a subject information database of this embodiment; FIG. It is a figure which shows the data structure of the calculation formula master database of this embodiment. It is a figure which shows the data structure of the evaluation master database of this embodiment. It is a figure which shows the data structure of the solution master database of this embodiment. It is a figure which shows the data structure of the score log information database of this embodiment. 4 is a sequence diagram of information processing according to the embodiment; FIG. FIG. 10 is a diagram showing an example of a screen displayed in the information processing of FIG. 9; FIG. 10 is a detailed flow chart of the score calculation of FIG. 9;

An embodiment of the present invention will be described in detail below with reference to the drawings. In the drawings for describing the embodiments, in principle, the same constituent elements are denoted by the same reference numerals, and repeated description thereof will be omitted.

(1) Configuration of information processing system The configuration of the information processing system will be described. FIG. 1 is a schematic diagram of an information processing system according to this embodiment. FIG. 2 is a block diagram showing the configuration of the information processing system of FIG.

As shown in FIG. 1 , the information processing system 1 includes a client device 10 and a server 30 .
The client device 10 and server 30 are connected via a network (for example, the Internet or an intranet) NW.

The client device 10 is an example of an information processing device that transmits requests to the server 30 . The client device 10 is, for example, a smart phone, a tablet terminal, or a personal computer.

The server 30 is an example of an information processing device that provides the client device 10 with a response in response to a request transmitted from the client device 10 . Server 30 is, for example, a web server.

(1-1) Configuration of Client Apparatus The configuration of the client apparatus 10 will be described.

As shown in FIG. 2, the client device 10 includes a storage device 11, a processor 12, an input/output interface 13, a communication interface 14, and a camera 15.

Storage device 11 is configured to store programs and data. The storage device 11 is, for example, a combination of ROM (Read Only Memory), RAM (Random Access Memory), and storage (eg, flash memory or hard disk).

Programs include, for example, the following programs.
・OS (Operating System) program ・Application (for example, web browser) program that executes information processing

The data includes, for example, the following data.
・Databases referenced in information processing ・Data obtained by executing information processing (that is, execution results of information processing)

The processor 12 is configured to implement the functions of the client device 10 by activating programs stored in the storage device 11 . Processor 12 is an example of a computer.

The input/output interface 13 is configured to acquire a user's instruction from an input device connected to the client device 10 and output information to an output device connected to the client device 10 .
Input devices are, for example, keyboards, pointing devices, touch panels, or combinations thereof.
An output device is, for example, a display.

Communication interface 14 is configured to control communications between client device 10 and server 30 .

The camera 15 is configured to capture moving images and generate moving image data of the captured moving images (hereinafter referred to as “captured moving images”). The camera 15 has, for example, a CMOS (Complementary Metal Oxide Semiconductor) image sensor.

(1-2) Server Configuration The configuration of the server 30 will be described.

As shown in FIG. 2, the server 30 includes a storage device 31, a processor 32, an input/output interface 33, and a communication interface .

Storage device 31 is configured to store programs and data. Storage device 31 is, for example, a combination of ROM, RAM, and storage (eg, flash memory or hard disk).

Programs include, for example, the following programs.
・OS program ・Application program that executes information processing

The data includes, for example, the following data.
・Databases referenced in information processing ・Execution results of information processing

The processor 32 is configured to implement the functions of the server 30 by activating programs stored in the storage device 31 . Processor 32 is an example of a computer.

The input/output interface 33 is configured to acquire user instructions from input devices connected to the server 30 and to output information to output devices connected to the server 30 .
Input devices are, for example, keyboards, pointing devices, touch panels, or combinations thereof.
An output device is, for example, a display.

Communication interface 34 is configured to control communications between server 30 and client device 10 .

(2) Overview of this embodiment An overview of this embodiment will be described. FIG. 3 is an explanatory diagram of the outline of this embodiment.

As shown in FIG. 3, the client device 10 captures a moving image of a walking subject OBJ and generates moving image data of the captured moving image.
The client device 10 transmits video data to the server 30 .

The server 30 performs image analysis on the moving image data transmitted from the client device 10 to calculate the beauty of motion score.

In this manner, the server 30 of the present embodiment evaluates the beauty of motion of the subject OBJ from the moving image of the subject OBJ during walking. This makes it possible to obtain an evaluation index of the beauty of the movement of the subject OBJ simply by photographing the walking state.

(3) Database The database of this embodiment will be described. The following databases are stored in the storage device 31.

(3-1) Subject Information Database The subject information database of this embodiment will be described. FIG. 4 is a diagram showing the data structure of the subject information database of this embodiment.

The subject information database of FIG. 4 stores subject information related to the subject.
The subject information database includes a "subject ID" field, a "subject name" field, and a "subject attribute" field. Each field is associated with each other.

A subject ID for identifying the subject OBJ is stored in the "subject ID" field. The subject ID is arbitrarily determined by the server 30 .

The "subject name" field stores information (for example, text) regarding the name of the subject OBJ.

The "subject attribute" field stores subject attribute information regarding attributes of the subject OBJ. The 'subject attribute' field includes a 'gender' field, an 'age' field, and an 'occupation' field.

The "sex" field stores information about the sex of the subject OBJ.

The "age" field stores information about the age of the subject OBJ.

The "occupation" field stores information about the occupation of the subject OBJ.

(3-2) Calculation formula master database The calculation formula master database of this embodiment will be described. FIG. 5 is a diagram showing the data structure of the calculation formula master database of this embodiment.

Calculation formulas corresponding to subject attribute information are stored in the calculation formula master database of FIG.
The calculation formula master database includes a "subject attribute" field and a "calculation formula" field. Each field is associated with each other.

The "subject attribute" field is the same as the "subject attribute" field in FIG.

In the "calculation formula" field, the first calculation formula (formula 1) for calculating the speed score S1 (an example of the "first score") and the posture score S2 (an example of the "second score") are calculated. A second calculation formula (formula 2) for calculating a skill score S3 (an example of a "third score") and a third calculation formula (formula 3) for calculating the beauty of movement score Sm A fourth calculation formula (Formula 4) for is stored.

・ｐ１…被写体の歩行速度に関する第１パラメータ
・ｗ１１…速さスコアＳ１を算出するための歩行速度に関する第１重み付け係数
・ｐ２…被写体の歩行姿勢に関する第２パラメータ
・ｗ１２…速さスコアＳ１を算出するための歩行姿勢に関する第２重み付け係数
・ｐ３…被写体の歩行技術に関する第３パラメータ
・ｗ１３…速さスコアＳ１を算出するための歩行技術に関する第３重み付け係数Formula 1 is an example of the first calculation formula. The coefficients w11 to w13 are determined according to subject attribute information. Coefficient w11 is greater than coefficients w12 and w13. It is generally known that the walking speed depends on the psychological state. The psychological state is reflected in, for example, a stress level, a measured value of movement of the corners of the mouth when smiling, or a state evaluated by the measured value. Since the coefficient w11 is larger than the coefficients w12 and w13, the speed score S1 can also be said to be a "score regarding the psychological state of the subject". A higher speed score S1 indicates a negative state of mind (for example, depressed state).

p1 first parameter relating to walking speed of subject w11 first weighting coefficient relating to walking speed for calculating speed score S1 p2 second parameter relating to walking posture of subject w12 calculating speed score S1 second weighting coefficient related to walking posture to perform p3 third parameter related to walking technique of subject w13 third weighting coefficient related to walking technique for calculating speed score S1

・ｗ２１…姿勢スコアＳ２を算出するための歩行速度に関する第１重み付け係数
・ｗ２２…姿勢スコアＳ２を算出するための歩行姿勢に関する第２重み付け係数
・ｗ２３…姿勢スコアＳ２を算出するための歩行技術に関する第３重み付け係数Formula 2 is an example of the second calculation formula. The coefficients w21 to w23 are determined according to subject attribute information. Coefficient w22 is greater than coefficients w21 and w23. It is generally known that walking posture depends on body composition. The body composition is reflected in, for example, a body fat percentage measurement value or a state evaluated by the measurement value. Since the coefficient w22 is larger than the coefficients w21 and w23, the posture score S2 can also be said to be "a score relating to the body composition of the subject". A higher posture score S2 indicates a negative body composition (for example, a state in which fat is above average).

w21: first weighting coefficient relating to walking speed for calculating posture score S2 w22: second weighting coefficient relating to walking posture for calculating posture score S2 w23: walking technique for calculating posture score S2 third weighting factor

・ｗ３１…技術スコアＳ３を算出するための歩行速度に関する第１重み付け係数
・ｗ３２…技術スコアＳ３を算出するための歩行姿勢に関する第２重み付け係数
・ｗ３３…技術スコアＳ３を算出するための歩行技術に関する第３重み付け係数Formula 3 is an example of the third calculation formula. The coefficients w31 to w33 are determined according to subject attribute information. Coefficient w33 is greater than coefficients w31 and w32. In general, walking techniques are known to rely on motor control. Motor control is reflected, for example, in a skeletal muscle index measurement or a state evaluated by such measurement. Since the coefficient w33 is larger than the coefficients w31 and w32, the technical score S3 can also be said to be a "score related to motion control of the subject". A higher skill score S3 indicates a negative motor control (for example, a state in which the rhythm of motion is not constant).

w31: first weighting coefficient related to walking speed for calculating technical score S3 w32: second weighting coefficient related to walking posture for calculating technical score S3 w33: walking technique for calculating technical score S3 third weighting factor

・ｗｍ１…動きの美しさのスコアＳｍを算出するための歩行速度に関する第１重み付け係数
・ｗｍ２…動きの美しさのスコアＳｍを算出するための歩行姿勢に関する第２重み付け係数
・ｗｍ３…動きの美しさのスコアＳｍを算出するための歩行技術に関する第３重み付け係数Formula 4 is an example of the fourth calculation formula. The coefficients wm1 to wm3 are determined according to subject attribute information.

wm1: First weighting coefficient related to walking speed for calculating score Sm of beauty of movement wm2: Second weighting coefficient related to walking posture for calculating score Sm of beauty of movement wm3: Beauty of movement A third weighting factor related to walking technique for calculating the fitness score Sm

(3-3) Evaluation Master Database The master database of this embodiment will be described. FIG. 6 is a diagram showing the data structure of the evaluation master database of this embodiment.

The evaluation master database in FIG. 6 stores information about evaluations according to scores.
The evaluation master database includes a "score" field and an "evaluation" field. Each field is associated with each other.

The "evaluation" field stores an evaluation message indicating an evaluation according to each of the speed score, posture score, and skill score.

(3-4) Solution Master Database The solution master database of this embodiment will be described. FIG. 7 is a diagram showing the data structure of the solution master database of this embodiment.

The solution master database in FIG. 7 stores solution information corresponding to scores.
The solution master database includes a "score" field and a "solution" field. Each field is associated with each other.

The "solution" field stores solution information corresponding to a combination of beauty score of movement, speed score, posture score, and technique score.
The "solution" field includes an "advice" field and a "recommended product" field.

The "advice" field stores an advice message indicating advice on lifestyle habits. Lifestyle includes, for example:
・Exercise ・Diet ・Sleep

The "recommended product" field stores product information about the product (for example, product name, URL (Uniform Resource Locator) of the website for purchasing the product, or a combination thereof). Goods include, for example:
・Cosmetics ・Sports equipment ・Food ・Supplements

(3-5) Score Log Information Database The score log information database of this embodiment will be described. FIG. 8 is a diagram showing the data structure of the score log information database of this embodiment.

The score log information database in FIG. 8 stores score log information.
The score log information database includes a "score log ID" field, a "date" field, and a "score" field. Each field is associated with each other.
The score log information database is associated with the subject ID.

The “score log ID” field stores a score log ID that identifies a score log. The score log ID is arbitrarily determined by the server 30 .

The "Date" field stores information about the date when the score log was acquired.

The "score" field includes a "speed score" field, a "posture score" field, a "technical score" field, and a "movement beauty score" field.

The "speed" field stores a speed score.

The "posture score" field stores the posture score.

The "technical score" field stores the technical score.

The “score of beauty of motion” field stores the score of beauty of motion.

(4) Information processing Information processing according to the present embodiment will be described. FIG. 9 is a sequence diagram of information processing according to the embodiment. FIG. 10 is a diagram showing a screen example displayed in the information processing of FIG. FIG. 11 is a detailed flow chart of the score calculation of FIG.

As shown in FIG. 9, the client device 10 acquires a moving image (S100).
Specifically, processor 12 displays screen P100 (FIG. 11) on the display.

As shown in FIG. 9, a screen P100 includes button objects B100a-B100b, an input field object F100, and an image object IMG100.
The input field object F100 is an object that receives input of the subject ID of the subject OBJ.
The button object B100a is an object that receives a user instruction for video recording.
The button object B100b is an object that receives a user instruction for requesting an evaluation of the beauty of movement.
Image object IMG100 corresponds to a moving image captured by camera 15 .

When the user of the client device 10 operates the button object B100a, the processor 12 activates the camera 15. FIG.
The camera 15 captures moving images of the subject OBJ while walking, and generates moving image data of the captured moving images.

After step S100, the client device 10 executes an evaluation request (S101).
Specifically, when the user operates the button object B 100 b ( FIG. 9 ), the processor 12 transmits evaluation request data to the server 30 .
Evaluation request data includes the following information.
・Subject ID
・Moving image data generated in step S100 ・Information about execution date of step S101

After step S101, the server 30 performs score calculation (S300) based on the video data included in the evaluation request data.
Step S300 will be described with reference to FIG.

As shown in FIG. 11, the server 30 executes speed parameter calculation (S3000).
Specifically, the processor 32 performs feature amount analysis on the moving image data included in the evaluation request data, thereby determining pixels (hereinafter referred to as “first reference "pixel").
The processor 12 calculates the amount of change in the coordinates of the first reference pixel in a plurality of frames forming moving image data. This amount of change is the speed parameter related to walking speed.

After step S3000, the server 30 performs posture parameter calculation (S3001).
Specifically, the processor 32 performs a feature amount analysis on the video data included in the evaluation request data, thereby identifying sites that have a strong correlation with the walking posture (for example, the spine, trunk, pelvis, and body). At least one pixel (hereinafter referred to as "second reference pixel") is specified.
The processor 32 refers to the second reference pixels to calculate the anteversion angle of the part. This forward tilt angle is a posture parameter related to walking posture.
The anteversion angle includes at least one of the following angles:
・Anterior tilt angle of the cervical spine with respect to the vertical ・Anterior tilt angle of the trunk with respect to the vertical ・Anterior tilt angle of the pelvis with respect to the horizontal ・Anterior tilt angle of the whole body with respect to the vertical )
・Ankle joint angle (for example, at least one of movable angle and flexion angle)

After step S3001, the server 30 performs technical parameter calculation (S3002).
Specifically, the processor 32 performs feature amount analysis on the moving image data included in the evaluation request data to obtain pixels (hereinafter referred to as “third (referred to as "reference pixel").
The processor 32 calculates the frequency of displacement of the third reference pixels (hereinafter referred to as “motion frequency”) in a plurality of frames forming moving image data. This motion frequency is a technical parameter for gait technique (especially gait smoothness).

After step S3002, the server 30 determines the calculation formula (S3003).
Specifically, the processor 32 refers to the subject information master database (FIG. 4) to identify subject attribute information associated with the subject ID included in the evaluation request data.
The processor 32 refers to the calculation formula master database (FIG. 5) to identify calculation formulas (first to fourth calculation formulas) associated with the identified subject attribute information.

After step S3003, the server 30 executes speed score calculation (S3004).
Specifically, the processor 32 adds the parameters calculated in steps S3000 to S3002 (speed parameter p1, attitude parameter p2, and technique parameter p3) to the first calculation formula (formula 1) specified in step S3003. Calculate the speed score S1 by applying

After step S3004, the server 30 performs posture score calculation (S3005).
Specifically, the processor 32 adds the parameters calculated in steps S3000 to S3002 (the speed parameter p1, the attitude parameter p2, and the technique parameter p3) to the second calculation formula (formula 2) specified in step S3003. Calculate the pose score S2 by applying

After step S3005, the server 30 performs technical score calculation (S3006).
Specifically, processor 32 adds the parameters calculated in steps S3000 to S3002 (speed parameter p1, posture parameter p2, and technique parameter p3) to the third calculation formula (formula 3) identified in step S3003. Calculate the skill score S3 by applying

After step S3006, the server 30 performs motion beauty score calculation (S3007).
Specifically, processor 32 adds the scores (speed score S1, posture score S2, and technique score S3) calculated in steps S3004 to S3006 to the fourth calculation formula (formula 4) identified in step S3003. Calculate the motion beauty score Sm by applying

As shown in FIG. 9, after step S300, the server 30 updates the database (S301).
Specifically, the processor 32 adds a new record to the evaluation log information database (FIG. 8) associated with the subject ID included in the evaluation request data.
Processor 32 stores the following information in each field of the new record.
- A new score log ID is stored in the "score log ID" field.
・In the "Date" field, information related to the execution date included in the evaluation request data is stored.
- The "speed score" field stores the speed score S1 calculated in step S3004.
- The posture score S2 calculated in step S3005 is stored in the "posture score" field.
- The technical score S3 calculated in step S3006 is stored in the "technical score" field.
The "motion beauty score" field stores the motion beauty score Sm calculated in step S3007.

After step S301, the server 30 performs evaluation (S302).
Specifically, processor 32 references the rating master database (FIG. 6) to identify the information (rating messages) stored in the “rating” field associated with each score calculated in steps S3004-S3007. do.

After step S302, the server 30 identifies solution information (S303).
Specifically, the processor 32 refers to the solution master database (FIG. 7) to refer to the information (advice message and product information).

After step S303, the server 30 executes an evaluation response (S304).
Specifically, the processor 32 transmits evaluation response data to the client device 10 .
The evaluation response data contains the following information.
- Scores obtained in step S300 (speed score S1, posture score S2, skill score S3, and beauty of movement score Sm)
・Evaluation message specified in step S302 ・Solution information (advice message and product information) specified in step S303

After step S304, the client device 10 performs screen display (S102).
Specifically, the processor 12 displays a screen P102 (FIG. 10) based on the evaluation response data on the display.

As shown in FIG. 10, the screen P102 includes display objects A101a to A101b.
The display object A101a contains the advice message contained in the evaluation response data.
The display object A101b contains the solution information contained in the evaluation response data.

According to the present embodiment, parameters extracted from specific parts (specifically, walking speed, walking posture, and parts having a strong correlation with walking technique) included in a moving image are used to determine the beauty of movement. Calculate the score Sm of the newness. This makes it possible to evaluate the beauty of motion from the walking motion.

(5) Summary of this embodiment This embodiment will be summarized.

The first aspect of this embodiment is
An information processing device (for example, a server 30) that evaluates the beauty of motion of a subject,
A means for acquiring a moving image of a walking subject (for example, a processor 32 that executes the process of step S300),
means for extracting the walking speed, walking posture, and motion frequency by analyzing the moving image (for example, a processor 32 that executes the processing of step S300);
Based on the correlation between walking speed and beauty, means for calculating the first parameter p1 (for example, a processor 32 that executes the processing of step S3000),
Based on the correlation between walking posture and beauty, means for calculating the second parameter p2 (for example, a processor 32 that executes the processing of step S3001),
Based on the correlation between motion frequency and beauty, means for calculating the third parameter p3 (for example, the processor 32 that performs the processing of step S3002);
The information processing apparatus includes means (for example, the processor 32 that executes the process of step S3007) for calculating the motion beauty score Sm using the first parameter p1 to the third parameter p3.

According to the first mode, the beauty score Sm of motion is calculated using the first to third parameters extracted by analyzing the moving image of the walking subject. This makes it possible to evaluate the beauty of motion from the walking motion.

A second aspect of the present embodiment is
Means for calculating a first score S1 regarding the psychological state of the subject using the first parameter p1 to third parameter p3 and the first weighting coefficient regarding walking speed (for example, the processor 32 that executes the processing of step S3004) An information processing device comprising:

According to the second aspect, by using the first to third parameters and the first weighting coefficient related to the walking speed correlated with the psychological state, the first score S1 related to the psychological state of the subject can be obtained. can.

The third aspect of this embodiment is
Means for calculating a second score S2 regarding the body composition of the subject using the first parameter p1 to third parameter p3 and the second weighting coefficient regarding the walking posture (for example, the processor 32 that executes the processing of step S3005) An information processing device comprising:

According to the third aspect, by using the first to third parameters and the second weighting coefficient related to the walking posture correlated with the body composition, it is possible to obtain the second score S2 related to the body composition of the subject. can.

The fourth aspect of this embodiment is
Means for calculating a third score S3 relating to motion control of the subject using the first parameter p1 to third parameter p3 and the third weighting factor relating to walking technique (for example, the processor 32 executing the processing of step S3006) An information processing device comprising:

According to the fourth aspect, by using the first to third parameters and the second weighting factor related to the walking technique correlated with the motion control, it is possible to obtain the third score S3 related to the motion control of the subject. can.

The fifth aspect of this embodiment is
An information processing apparatus comprising means for presenting at least one of the calculated scores (for example, the processor 32 executing the process of step S304).

According to the fifth aspect, it is possible to make the user recognize the score.

A sixth aspect of the present embodiment is
The information processing apparatus includes means for presenting solution information according to at least one calculated score (for example, a processor 32 that executes the process of step S304).

According to the sixth aspect, it is possible to provide the user with useful information for the solution.

The seventh aspect of this embodiment is
The solution information is an information processing device that includes advice on at least one of suitable lifestyle habits and suitable products.

According to the seventh aspect, it is possible to provide the user with useful information about at least one of suitable lifestyle habits and suitable products.

The eighth aspect of the present embodiment is
a means (for example, a storage device 31) for storing subject attribute information regarding subject attributes and a calculation formula (Equation 4) for the beauty of motion score Sm in association with each other;
The obtaining means further obtains subject attribute information of the subject,
The calculation means is an information processing device that calculates the beauty of motion score Sm using a calculation formula associated with the acquired subject attribute information.

According to the eighth aspect, since a calculation formula corresponding to the attribute of the subject is used, it is possible to obtain a highly accurate score in consideration of the attribute of the subject.

A ninth aspect of the present embodiment is
The information processing apparatus includes means (for example, a processor 32 that executes the process of step S301) that associates and stores subject identification information that identifies a subject and at least one of the calculated scores.

According to the ninth aspect, since the subject identification information and the score are stored in association with each other, the log of the score can be saved.

A tenth aspect of the present embodiment is a program for causing a computer (for example, processor 32) to function as each means described above.

(6) Other modified examples

The storage device 11 may be connected to the client device 10 via the network NW. Storage device 31 may be connected to server 30 via network NW.

Each step of the information processing described above can be executed by either the client device 10 or the server 30 .

In this embodiment, an example of the server 30 that executes information processing (FIG. 9) based on the moving image data acquired by the client device 10 in step S100 is shown. However, this embodiment is not limited to this.
The server 30 of this embodiment may execute information processing ( FIG. 9 ) based on the moving image data stored in the storage device 31 . In this case, step S100 is omitted.

In this embodiment, the posture parameters include at least one of the anteversion angle of the cervical spine with respect to the vertical, the anteversion angle of the trunk with respect to the vertical, the anteversion angle of the pelvis with respect to the horizontal, and the anteversion angle of the whole body with respect to the vertical. I gave an example. However, the posture parameter of this embodiment is not limited to this.
Posture parameters may include at least one of the following:
・Hip joint angle (at least one of movable angle and flexion angle)
・Knee angle (at least one of movable angle and flexion angle)
・Stride length

Although the embodiments of the present invention have been described in detail above, the scope of the present invention is not limited to the above embodiments. Also, the above embodiments can be modified and modified in various ways without departing from the gist of the present invention. Also, the above embodiments and modifications can be combined.

1: information processing system 10: client device 11: storage device 12: processor 13: input/output interface 14: communication interface 15: camera 30: server 31: storage device 32: processor 33: input/output interface 34: communication interface

Claims (9)

An information processing device for evaluating the beauty of motion of a subject,
A means for acquiring a moving image of a walking subject,
means for extracting walking speed, walking posture, and motion frequency by analyzing the moving image;
means for calculating a first parameter related to the walking speed based on the amount of change in the coordinates of the pixels of the part having a strong correlation with the walking speed;
means for calculating a second parameter related to the walking posture based on the anteversion angle of the pixels of the part having a strong correlation with the walking posture;
means for calculating a third parameter related to the walking motion based on the motion frequency of the displacement of pixels in a portion having a strong correlation with the walking motion;
Using the first parameter to the third parameter, comprising means for calculating the beauty score of the movement,
An information processing apparatus comprising means for calculating a first score regarding the psychological state of the subject using the first to third parameters and a first weighting factor regarding the walking speed. An information processing device for evaluating the beauty of motion of a subject,
A means for acquiring a moving image of a walking subject,
means for extracting walking speed, walking posture, and motion frequency by analyzing the moving image;
means for calculating a first parameter related to the walking speed based on the amount of change in the coordinates of the pixels of the part having a strong correlation with the walking speed;
means for calculating a second parameter related to the walking posture based on the anteversion angle of the pixels of the part having a strong correlation with the walking posture;
means for calculating a third parameter related to the walking motion based on the motion frequency of the displacement of pixels in a portion having a strong correlation with the walking motion;
Using the first parameter to the third parameter, comprising means for calculating the beauty score of the movement,
means for calculating a second score for the body composition of the subject using the first to third parameters and a second weighting factor for the walking posture;
Information processing equipment. An information processing device for evaluating the beauty of motion of a subject,
A means for acquiring a moving image of a walking subject,
means for extracting walking speed, walking posture, and motion frequency by analyzing the moving image;
means for calculating a first parameter related to the walking speed based on the amount of change in the coordinates of the pixels of the part having a strong correlation with the walking speed;
means for calculating a second parameter related to the walking posture based on the anteversion angle of the pixels of the part having a strong correlation with the walking posture;
means for calculating a third parameter related to the walking motion based on the motion frequency of the displacement of pixels in a portion having a strong correlation with the walking motion;
Using the first parameter to the third parameter, comprising means for calculating the beauty score of the movement,
An information processing apparatus, comprising means for calculating a third score relating to motion control of the subject using the first to third parameters and a third weighting factor relating to the walking motion. An information processing device for evaluating the beauty of motion of a subject,
A means for acquiring a moving image of a walking subject,
means for extracting walking speed, walking posture, and motion frequency by analyzing the moving image;
means for calculating a first parameter related to the walking speed based on the amount of change in the coordinates of the pixels of the part having a strong correlation with the walking speed;
means for calculating a second parameter related to the walking posture based on the anteversion angle of the pixels of the part having a strong correlation with the walking posture;
means for calculating a third parameter related to the walking motion based on the motion frequency of the displacement of pixels in a portion having a strong correlation with the walking motion;
Using the first parameter to the third parameter, comprising means for calculating the beauty score of the movement,
means for presenting solution information responsive to at least one of said calculated scores;
Information processing equipment. 5. The information processing apparatus according to claim 4, wherein said solution information includes advice on at least one of suitable lifestyle habits and suitable products. An information processing device for evaluating the beauty of motion of a subject,
A means for acquiring a moving image of a walking subject,
means for extracting walking speed, walking posture, and motion frequency by analyzing the moving image;
means for calculating a first parameter related to the walking speed based on the amount of change in the coordinates of the pixels of the part having a strong correlation with the walking speed;
means for calculating a second parameter related to the walking posture based on the anteversion angle of the pixels of the part having a strong correlation with the walking posture;
means for calculating a third parameter related to the walking motion based on the motion frequency of the displacement of pixels in a portion having a strong correlation with the walking motion;
Using the first parameter to the third parameter, comprising means for calculating the beauty score of the movement,
means for associating and storing subject attribute information regarding attributes of the subject and the calculation formula for the beauty of movement score;
The obtaining means further obtains subject attribute information of the subject,
the means for calculating the score calculates the beauty score of the motion using a formula associated with the acquired subject attribute information;
Information processing equipment. An information processing device for evaluating the beauty of motion of a subject,
A means for acquiring a moving image of a walking subject,
means for extracting walking speed, walking posture, and motion frequency by analyzing the moving image;
means for calculating a first parameter related to the walking speed based on the amount of change in the coordinates of the pixels of the part having a strong correlation with the walking speed;
means for calculating a second parameter related to the walking posture based on the anteversion angle of the pixels of the part having a strong correlation with the walking posture;
means for calculating a third parameter related to the walking motion based on the motion frequency of the displacement of pixels in a portion having a strong correlation with the walking motion;
Using the first parameter to the third parameter, comprising means for calculating the beauty score of the movement,
means for associating and storing subject identification information that identifies the subject and at least one of the calculated scores;
Information processing equipment. The information processing apparatus according to any one of claims 1 to 7, comprising means for presenting at least one of said calculated scores. A program for causing a computer to function as each means according to any one of claims 1 to 8.

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