KR20220000164A - Player emotion analysis method for virtual reality game, player emotion-based virtual reality service management method and virtual reality system - Google Patents

Abstract

The present application relates to a player emotion analysis method for a virtual reality game, a virtual reality game operation method based on the player emotion, and a virtual reality system. The player emotion analysis method for the virtual reality game according to one aspect of the present application comprises the following steps of: obtaining real space information related to a player performing the VR game; and obtaining emotional information of the player from the real space information by using an artificial neural network trained by using learning data that an emotion index defined by using biometric information reflecting emotional intensity and game progress information of the VR game reflecting the emotional type is labeled with the real space information. According to the present invention, a variety of emotional states of the player such as immersion, fear, or inconvenience are recognized in response to a posture or movement of the player.

Description

PLAYER EMOTION ANALYSIS METHOD FOR VIRTUAL REALITY GAME, PLAYER EMOTION-BASED VIRTUAL REALITY SERVICE MANAGEMENT METHOD AND VIRTUAL REALITY SYSTEM

The present application relates to a method for analyzing player emotions for a virtual reality game, a method for operating a virtual reality service based on player emotions, and a virtual reality system, and more particularly, analyzing emotions such as excitement, immersion, and embarrassment of a player performing a virtual reality game It relates to a method for analyzing player emotions for virtual reality games, a method for operating a virtual reality service based on player emotions, and a virtual reality system.

A virtual reality (VR) service made with computer graphics having an environment similar to the real one is spotlighted as a next-generation representative service as a large-scale investment is in progress. The field of application of virtual reality technology spans various fields such as education, medical care, national defense, and transportation.

Initially, virtual reality games were developed mainly for personal platforms, but recently, they are developing into a location-based entertainment form centered on theme parks and the like.

A place-based VR platform targets a variety of customer groups, unlike personal VR platforms that target gamers who are familiar with games. Because of the advantages of , it can cause motion sickness or fear, so countermeasures are being requested.

One object of the present application is to provide a player emotion analysis method for a virtual reality game, a method for operating a virtual reality service based on player emotion, and a virtual reality system for analyzing the emotion of a player who performs a VR game while the VR game is in progress.

The problem to be solved by the present application is not limited to the above-mentioned problems, and the problems not mentioned will be clearly understood by those of ordinary skill in the art to which the present application belongs from the present specification and the accompanying drawings. .

According to an aspect of the present application, the method comprising: acquiring real-space information about a player performing a VR game; and an artificial neural network in which an emotion index defined using biometric information reflecting the emotional intensity and game progress information in the VR game reflecting the emotion type is learned using the learning data labeled in the real spatial information. An emotion analysis method for a virtual reality game including; obtaining emotional information of the player from real space information may be provided.

The solutions to the problems of the present invention are not limited to the above-described solutions, and solutions not mentioned will be clearly understood by those of ordinary skill in the art to which the present invention belongs from the present specification and the accompanying drawings. will be able

According to the embodiment of the present application, various emotional states of the player, such as whether the player is immersed in the VR game or feels discomfort such as fear or motion sickness, can be known according to the player's posture or movement.

In addition, according to the embodiment of the present application, by detecting the emotional state of the player, such as the degree of immersion or excitement, it is possible to provide a more improved virtual reality experience for the player by adjusting the difficulty of the VR game.

In addition, according to the embodiment of the present application, by detecting the emotional state of the player such as fear, anxiety, nausea, etc., the environment in the VR game is adjusted or an alarm is provided so that the VR operator can take action, so that the player can be further improved in VR service can be provided.

The effect of the present invention is not limited to the above-described effect, and the tasks not mentioned will be clearly understood by those of ordinary skill in the art to which the present invention belongs from the present specification and accompanying drawings.

1 is a block diagram of a virtual reality system according to an embodiment of the present specification.
2 is a schematic diagram of a virtual reality system according to an embodiment of the present specification.
3 is a flowchart of an example of an emotion analysis method according to an embodiment of the present specification.
4 is a diagram illustrating an example of an artificial neural network for performing emotion analysis according to an embodiment of the present specification.
5 is a flowchart illustrating an example of a method for operating a virtual reality service according to an embodiment of the present specification.
6 is a flowchart illustrating another example of a method for operating a virtual reality service according to an embodiment of the present specification.

The embodiments described herein are for clearly explaining the spirit of the present invention to those of ordinary skill in the art to which the present invention pertains, so the present invention is not limited by the embodiments described herein, and the present invention It should be construed as including modifications or variations that do not depart from the spirit of the present invention.

The terms used in this specification have been selected as widely used general terms as possible in consideration of the functions in the present invention, but they may vary depending on the intention, custom, or emergence of new technologies of those of ordinary skill in the art to which the present invention belongs. can However, if a specific term is defined and used in an arbitrary sense, the meaning of the term will be separately described. Therefore, the terms used in this specification should be interpreted based on the actual meaning of the terms and the contents of the entire specification, rather than the names of simple terms.

The drawings attached to this specification are for easily explaining the present invention, and the shapes shown in the drawings may be exaggerated as necessary to help understand the present invention, so the present invention is not limited by the drawings.

In the present specification, when it is determined that a detailed description of a known configuration or function related to the present invention may obscure the gist of the present invention, a detailed description thereof will be omitted if necessary.

The present specification relates to a player emotion analysis method for a virtual reality game, a player emotion-based virtual reality service operating method, and the virtual reality system 1000 .

Hereinafter, a virtual reality system 1000 according to an embodiment of the present specification will be described with reference to FIGS. 1 and 2 .

The virtual reality system 1000 is a system that provides virtual reality to a user. Here, virtual reality (VR) may mean an artificial environment provided by using visual and auditory information created by a computer program, unlike the real world.

Virtual reality is mainly a virtual reality that provides an image by creating a virtual space separated from reality by a program, and Augmented Reality (AR: Augmented Reality) that provides a single image by overlapping virtual images based on the real world ) and mixed reality (MR: Mixed Reality), which provides a virtual space by fusing the real world and virtual reality and provides an image for it, the term 'virtual reality' is It can be interpreted as virtual reality in a broad sense.

In the present specification, the virtual reality system 1000 may provide, for example, a video game made in virtual reality (hereinafter referred to as a 'VR game') to a user (hereinafter referred to as a 'player 3').

1 is a block diagram of a virtual reality system 1000 according to an embodiment of the present specification, and FIG. 2 is a schematic diagram of a virtual reality system 1000 according to an embodiment of the present specification.

1 and 2, the virtual reality system 1000 includes a head mounted display (HMD 1100: Head-Mounted Display), a game controller 1200, an auxiliary computing device 1300, a positioning module 1400, It may include a monitoring module 1500 and a server 1600 .

The HMD 1100 is a device worn on the head of the player 3 and may function as an output interface for a user of a virtual reality service.

Mainly, the HMD 1100 may output visual information about the virtual environment, ie, a virtual image, to the player 3 . For example, the HMD 1100 may provide a 3D image to the player 3 through a stereoscopic display that outputs two images isolated from each other to both eyes of the wearer.

In addition, the HMD 1100 may include a speaker that selectively outputs a voice to output a voice related to the virtual environment to the wearer.

The HMD 1100 may function as a sensor for the wearer in addition to the above-described role as the output interface. For example, the HMD 1100 is equipped with a gyro sensor, an acceleration sensor, or the like, and the HMD 1100 can detect the movement of the user's head or the posture of the head using this.

In addition, a marker used for tracking the position, posture, and motion of the wearer's head by the positioning model of the virtual reality system 1000 may be installed on the exterior of the HMD 1100 .

The game controller 1200 functions as an input interface for a user of the virtual reality service.

The game controller 1200 is mainly provided in a stick shape or a gun shape as shown in FIG. 2 and can be gripped by the player 3 .

The game controller 1200 may include an operation button for receiving an operation of the player 3 . For example, the player 3 may fire a gun in the virtual space through an operation button of the game controller 1200 .

In addition, the game controller 1200 may include a gyro sensor or an acceleration sensor that detects the posture of the game controller 1200 adjusted according to the manipulation of the player 3 . For example, the player 3 may adjust the firing direction of the gun in the virtual space by adjusting the posture of the game controller 1200 .

In addition, a marker used for tracking the position, posture, motion, etc. of the game controller 1200 by the positioning model of the virtual reality system 1000 may be installed on the exterior of the game controller 1200 .

The positioning module 1400 may measure the position of the player 3 or the game controller 1200 in real space.

The virtual space in the VR game may be matched with the playground 1, which is a real space in which the VR game is performed. For example, in the real space, the player 3 plays the playground 1 on the When positioned, the virtual reality system 1000 sets the character (hereinafter referred to as 'player 3 character' or 'avatar') controlled by the player 3 to a virtual position corresponding to the position on the playground 1 in the virtual space. , or when the player 3 moves on the playground 1, the avatar can also be moved in the virtual space.

As such, the positioning module 1400 may position the player 3 or the game controller 1200 as basic information for the virtual reality system 1000 to process the avatar in the virtual space.

The positioning module 1400 may be, for example, a camera that tracks a marker installed in the player 3 in the playground 1 , the HMD 1100 , or the game controller 1200 . Here, the camera is a concept including all infrared cameras and thermal cameras, including RGB cameras, and the positioning module 1400 may be implemented in various forms other than the camera.

The positioning module 1400 may be installed in the structure 2 around which the playground 1 is disposed so as to have an angle suitable for imaging the player 3 in the playground 1 .

The auxiliary computing device 1300 and the server 1600 may perform various calculations and information processing for realizing virtual reality. For example, they process the various information detected by the positioning module 1400, the HMD 1100, and the game controller 1200 to determine the position, posture, motion, and motion of the player 3 or the game controller 1200, the player 3 The visual/auditory information that forms the virtual reality is generated by calculating the viewing angle of the .

1 and 2 , the auxiliary computing device 1300 and the server 1600 are illustrated as separate components, but in the virtual reality system 1000 , the auxiliary computing device 1300 is omitted and the auxiliary computing device 1300 is Functions may be integrated into the server 1600 or HMD 1100 .

However, in the VR game service, real-time audiovisual feedback may be important to improve immersion. When using wireless communication between the server 1600 and the HMD 1100, a delay time may occur, whereas the player 3 ) carried by the HMD 1100 and the auxiliary computing device 1300 capable of being connected by wire to generate a VR image or voice and transmit it to the HMD 1100 by wire, there may be an advantage that low-delay audiovisual feedback is possible.

Here, the auxiliary computing device 1300 , the server 1600 , or the HMD 1100 having an arithmetic function may include a controller, and in this specification, the controller is a chip or processor that executes a computer program, various arithmetic and information processing. It can be interpreted as encompassing not only a hardware form such as an electrical circuit capable of performing the above, but also a software form or a form in which hardware and software are combined.

Meanwhile, it should be noted that operations performed by the virtual reality system 1000 in the methods according to embodiments of the present specification to be described below may be understood to be performed under the control of the above-described controller unless otherwise specified.

The monitoring module 1500 may provide information to the manager of the VR game.

Here, the manager may mean a person in charge of operation of a VR service in a place-based VR platform such as a theme park. In general, when operating a place-based VR platform, there may be beginners who are unfamiliar with VR among the players (3). Ancillary services such as

In particular, in the case of children, the elderly who are unfamiliar with the game, or users with phobia of heights or claustrophobia, they cannot enjoy the VR service due to the immersion of VR or, in severe cases, feel anxiety or fear, and cause motion sickness or vomiting. It can be seen as one of the most important factors in VR service for the company to quickly identify the status of users of these VR services and respond accordingly.

The monitoring module 1500 may provide the manager with information or instructions on the status of the player 3 currently using the VR service or actions necessary for the player 3 . For example, the monitoring module 1500 may be provided as a display, a speaker, or a device in which they are combined, and may output the above-described information to an administrator. Of course, the monitoring module 1500 also performs a relay broadcast that displays the progress in the virtual space of VR to nearby viewers, functions as an electric billboard displaying information in the VR game, or outputs an image to promote the VR game It is also possible to serve as a billboard for The monitoring module 1500 may be provided in the form of lighting lighting that irradiates lighting to users who need measures in addition to the display format.

It should be noted that the above-mentioned components of the virtual reality system 1000 may transmit/receive data to and from each other through a communication unit.

Hereinafter, an emotion analysis method according to an embodiment of the present specification will be described. Here, the emotions of the player 3 may be understood as encompassing human emotions such as pleasure, interest, excitement, immersion, fear, anxiety, boredom, and the like. In addition, in this specification, it is clarified in advance that it is okay to understand that the player 3's state is analyzed instead of the player's 3 emotions for the sake of the overall purpose.

In addition, the present method may be mainly interpreted as an emotion analysis method for a virtual reality game, but it should be noted in advance that it is not necessarily for a game.

Meanwhile, the operations performed in the following description should be understood as being performed by the virtual reality system 1000, particularly the server 1600, unless otherwise noted as being performed by other components or otherwise clear from the context. will be.

3 is a flowchart of an example of an emotion analysis method according to an embodiment of the present specification.

Referring to FIG. 3 , the emotion analysis method according to the embodiment of the present specification includes the steps of obtaining real space information of the player 3 ( S1100 ), obtaining virtual space information of the player 3 ( S1200 ), and reality It may include analyzing the emotion of the player 3 based on the spatial information and the virtual spatial information ( S1300 ).

Hereinafter, each step of an example of the above-described emotion analysis method will be described with reference to FIG. 4 .

4 is a diagram illustrating an example of an artificial neural network for performing emotion analysis according to an embodiment of the present specification.

First, the virtual reality system 1000 may obtain real space information of the player 3 ( S1100 ). Here, the real space information includes the position where the player 3 is located on the playground 1 in the real world, the posture of the player 3, the movement or action of the player 3, the expression of the player 3, the player ( It is a comprehensive concept that includes everything that is responsive to the body of the player 3 in the real space, such as the state or movement of the pupil of 3). Such real space information may be obtained in various ways in the virtual reality system 1000 , and the following is a reference to some representative examples thereof.

As an example, the virtual reality system 1000 may obtain the position of the player 3 .

The positioning module 1400 provided as a camera captures the playground 1 where the player 3 is located and transmits it to the server 1600, and the server 1600 uses the image captured by the camera to capture the playground 1 It is possible to determine the position of the player 3 on the top. In this case, the server 1600 may calculate the player position by recognizing the human shape from the image using a machine learning algorithm such as a traditional object recognition algorithm or deep learning. Exemplarily, the server 1600 detects a bounding box for the player 3 region in the image through an artificial neural network model that generates a bounding box for a human-shaped object, and a bounding corresponding to the player 3’s foot. Using the point that the bottom of the box is the same height as the ground of the playground (1), the captured image is converted into a top view with the playground (1) as the reference plane in consideration of the camera’s posture and position, and the player (3) on the playground (1) ) can be calculated.

Alternatively, the HMD (1100) or the game controller (1200), including the equipment worn on the player (3) prepares a marker, detects the marker from the image, and the playground (1) through the size, positional relationship, arrangement pattern of the marker, etc. ), it is also possible to detect the position where the player 3 is located.

In addition, an active element is prepared in the equipment worn by the player 3, and the position of the player 3 is calculated by detecting the signal, or an accelerometer or gyro sensor installed in the equipment worn on the player 3, etc. It is also possible for the server 1600 to receive the sensed value and to detect the position of the player 3 through this.

As another example, the virtual reality system 1000 may acquire the posture of the player 3 . The acquisition of the posture may be performed, similarly to the acquisition of the position, through a posture recognition algorithm from an image captured by the player 3 or through a posture recognition algorithm through a joint angle or position through various markers.

As another example, the virtual reality system 1000 may acquire motion or motion. The motion acquisition may also be acquired similarly to the acquisition of a position or posture. Specifically, movement or motion may be acquired through a change in the posture or position of the player 3 on the time axis through analysis of a difference between consecutively captured images or a change in the position of a marker. Of course, it may be possible to directly measure the speed or direction of movement, change in posture, and the like, using signal values of accelerometers or gyro sensors mounted on various devices.

As another example, the state or movement of the pupil of the player 3 through the pupil tracking means mounted on the HMD 1200, the movement path, the viewing direction, the viewing speed switching speed, etc. may be acquired.

As another example, it is also possible to attach various biosensors (eg, a pulse sensor, etc.) to the user's body and acquire real spatial information based thereon.

Next, the virtual reality system 1000 may acquire virtual space information of the player 3 ( S1200 ). Here, the virtual space information includes various manipulations performed by the player 3 in the virtual world, the results of manipulations, the location of the avatar, the game score, the game performance speed, whether the player enters the game session, whether the game is cleared, the game score , avatar's death rate, avatar's hit/hit frequency, enemy character's hit/hit frequency, game win rate, etc., including all raw information related to VR games as well as statistically processed processed information. It is a comprehensive concept.

Virtual space information may be acquired by the server 1600, and processing of this information includes the movement of the player 3 detected by the positioning module 1400, user manipulation through the game controller 1200, and the HMD 1100. The movement of the head through the

When the above-described information is obtained, the virtual reality system 1000 may analyze the emotion of the player 3 based on the real space information and the virtual space information (S1300).

Specifically, the server 1600 may analyze/predict the emotion or emotional state or state of the player 3 using real space information, virtual space information, or both using various machine learning algorithms including deep learning. . For example, when the server 1600 detects that the user is in a stationary position for a long period of time or that the eyes are closed as a result of pupil tracking, it may be analyzed that the player 3 has negative emotions such as fear, anxiety, or boredom. For another example, if the pupil of the player 3 is moving at a very high speed, the server 1600 may analyze that the player 3 has positive emotions such as excitement, pleasure, and fun. As another example, if it is confirmed that the avatar frequently dies in the virtual space, the server 1600 may predict that the player 1600 is annoyed based on this, and conversely, the avatar does not die at all or all targets are quickly completed. If you achieve it in time, you can expect to feel bored.

However, emotion analysis using the above-described real/virtual spatial information is a very complex field, and in the present specification, a relatively accurate emotion analysis can be performed using an artificial neural network technique.

4 illustrates the structure of an artificial neural network for performing emotion analysis, the artificial neural network may have an input layer that receives at least a portion of real space information and virtual space information, and an output layer that outputs an emotion analysis result. Also, between the input layer and the output layer of the artificial neural network, a hidden layer whose weight and bias are adjusted by reversing the error between the emotion analysis result derived by the output layer and the actual emotion may be disposed. Such an artificial neural network can be trained in such a way that the model gradually becomes more precise through the learning set, which is a learning set consisting of input data labeled with the true value of the emotion analysis result, and the artificial neural network model trained to have sufficient accuracy is hardware-wise. Alternatively, it may be stored in the server 1600 in software or in the form of a combination of the two.

Accordingly, the server 1600 can obtain the analysis result on the emotion of the player 3 by using the artificial neural network model from the above-described real space information or virtual space information. Of course, the artificial neural network model may be separately prepared at a remote location other than the server 1600 , and the server 1600 may also perform emotion analysis through communication with a remote computer.

However, learning through a large number of running set data is essential to the advancement of the artificial neural network constructed in this way, that is, the accuracy of the artificial neural network is highly dependent on the collection of the running set.

However, since the emotion of the player 3 mentioned in this specification is not easy to quantify and express, it may be difficult to label the data of the running set. It is possible to define the real spatial information that reflects the emotional information as emotional information. In other words, by labeling some of the various pieces of information input to the input layer with the result value of the artificial neural network, it is possible to relatively easily secure the learning data.

As a specific example, biometric values that directly change with relatively low latency depending on emotions, such as heart rate or respiration rate of the player 3 , may be used as emotion information. For example, as the heart rate increases, it can be understood that the excitement level of the player 3 increases or the feeling of anxiety/fear increases, and as the heart rate decreases, the player 3 becomes more bored and loses interest. will be. This can be similarly applied to the movement of the pupil.

However, as described above, an increase in heart rate or pupil movement means an increase in excitement or anxiety, but it can be applied to both. Real space information and virtual space information can be used together.

More specifically, an emotion index is defined using intuitive real spatial information such as heart rate and pupil movement, and virtual spatial information that intuitively reflects whether the game is progressing well, such as an in-game score, as the main variable. It can be used as a result of emotional analysis. In this case, the emotion index may be prepared in a form in which the numerical value increases or decreases from negative emotions to positive emotions. Here, the biometric information may be interpreted as reflecting the intensity of the emotion, and the emotion type is reflected according to the progress of the game in the VR game.

Since such a learning data set can be obtained naturally from the player 3's VR game play, learning and upgrading of the artificial neural network will be relatively easy.

As a result, using the artificial neural network model trained as mentioned above, the server 3 can obtain an emotion index determined in a numerical range reflecting the emotional state of the player 3 from real/virtual spatial information. .

As described above, when the virtual reality system 1000 analyzes the emotion of the player 3 during VR experience, the emotion information of the player 3 may be utilized in various forms to operate the VR service.

Hereinafter, examples of a method for operating a virtual reality service according to an embodiment of the present specification will be described with reference to FIGS. 5 and 6 .

5 is a flowchart of an example of a method for operating a virtual reality service according to an embodiment of the present specification, and FIG. 6 is a flowchart of another example of a method of operating a virtual reality service according to an embodiment of the present specification.

Referring to FIG. 5 , an example of a method for operating a virtual reality service includes the steps of acquiring real and/or virtual space information of the player 3 ( S2100 ), analyzing the emotions of the player 3 ( S2200 ), and It may include adjusting the game difficulty based on the analyzed emotion (S2300).

Referring to FIG. 6 , another example of a virtual reality service operating method includes the steps of acquiring real and/or virtual space information of the player 3 ( S3100 ), analyzing the emotions of the player 3 ( S3200 ), and It may include a step (S3300) of instructing a player guide to the field agent based on the analyzed emotion.

Here, since steps S2100 and S3100 and steps S2200 and S3200 have already been described in detail, a description thereof will be omitted.

The virtual reality system 1000 may adjust the difficulty of the VR game by using the result of analyzing the player 3's emotions (S2300).

Specifically, the server 1600 may obtain the emotion analysis result in the form of an emotion index having a value expressing the level of excitement, and may change the difficulty level when the level of excitement of the player is low. More specifically, if the heart rate or pulse rate is low, it may be understood as uninteresting, and conversely, if the heart rate or pulse rate is high, it may be understood as interesting. can Based on this in-game information, if the player 3 is experiencing difficulty in the game, the difficulty may be changed in the direction of decreasing the difficulty, and vice versa, in the direction of increasing the difficulty.

In addition, the virtual reality system 1000 may instruct the field agent to guide the player using the result of analyzing the player 3's emotions (S2300).

Specifically, when the server 1600 detects a high emotion such as fear, anxiety, or nausea of the player 3, the server 1600 can help the player 3 or instruct the player 3 to stop the VR service. have. This instruction may be output through the monitoring module 1500 .

In order to perform the above various examples, the server 1600 may store a matching table between in-game information and lighting properties. After determining the lighting property with reference to, and thus determining the player 3 related to the corresponding in-game information, it is possible to perform lighting directing according to the lighting property determined for the player 3 .

The methods according to the embodiments of the present invention described above may be used alone or in combination with each other. Since each step described in the method according to the embodiment of the present invention is not essential, each method may be performed including all of the steps as well as only some of the steps. Also, since the order in which each step is described is only for convenience of description, each step in the method described in the present invention does not necessarily have to be performed in the described order.

The above description is merely illustrative of the technical spirit of the present invention, and various modifications and variations will be possible without departing from the essential characteristics of the present invention by those skilled in the art to which the present invention pertains. Accordingly, the embodiments of the present invention described above may be implemented separately or in combination with each other.

Therefore, the embodiments disclosed in the present invention are not intended to limit the technical spirit of the present invention, but to explain, and the scope of the technical spirit of the present invention is not limited by these embodiments. The protection scope of the present invention should be construed by the following claims, and all technical ideas within the scope equivalent thereto should be construed as being included in the scope of the present invention.

1: Playground 2: Structures
3: Player 1000: Virtual Reality System
1100: HMD 1200: game controller
1300: secondary computing device 1400: positioning module
1500: monitoring module 1600: server

Claims (7)

acquiring real spatial information about a player who plays a VR game; and
The emotion index defined using the biometric information that reflects the emotional intensity and the game progress information in the VR game that reflects the emotion type is the reality using an artificial neural network learned using the learning data labeled in the real spatial information. Including; obtaining emotional information of the player from spatial information
Sentiment analysis method for virtual reality games.
According to claim 1,
The biometric information includes at least one of a respiration rate, a pulse rate, a heart rate, and a blood pressure.
Sentiment analysis method for virtual reality games.
According to claim 1,
The game progress information, including the rate of change of the score in the game
Sentiment analysis method for virtual reality games.
According to claim 1,
Adjusting the difficulty level of the VR game based on the emotion information; further comprising
Sentiment analysis method for virtual reality games.
According to claim 1,
Instructing a player guide to the field agent based on the emotion information; further comprising
Sentiment analysis method for virtual reality games.
According to claim 1,
The real space information includes at least one of a position, movement, speed, posture, and gaze of the player.
Sentiment analysis method for virtual reality games.
According to claim 1,
acquiring the emotion information by further considering the virtual space information related to the VR game
Sentiment analysis method for virtual reality games.

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