WO2018214492A1

WO2018214492A1 - Method and apparatus for processing user experience data, electronic device, and computer storage medium

Info

Publication number: WO2018214492A1
Application number: PCT/CN2017/117555
Authority: WO
Inventors: 崔振科
Original assignee: 歌尔科技有限公司
Priority date: 2017-05-24
Filing date: 2017-12-20
Publication date: 2018-11-29
Also published as: CN107256085A; CN107256085B

Abstract

A method and apparatus for processing user experience data, an electronic device, and a computer storage medium. The method comprises: obtaining characteristic values of acceleration data output in a game (101); determining signal scaling conversion parameters according to the characteristic values of the acceleration data output in the game and preset characteristic values of acceleration data of a dynamic seat (102); and converting, according to the signal scaling conversion parameters, the acceleration data output in the game into acceleration data output by the dynamic seat (103). The signal scaling conversion parameters combine acceleration characteristic values of each game and structural characteristics of the dynamic seat, and therefore, the acceleration data of the dynamic seat obtained by means of signal scaling conversion is the most real experience of the game, thereby greatly improving the immersive experience effect of a user.

Description

User experience data processing method, device, electronic device and computer storage medium

cross reference

The present application is hereby incorporated by reference in its entirety in its entirety in its entirety in the entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire entire all all all all

Technical field

The present application relates to the field of virtual reality technologies, and in particular, to a method, an apparatus, an electronic device, and a computer storage medium for processing user experience data.

Background technique

The virtual reality device presents the experience game scene to the user to satisfy the user's panoramic display experience, such as outputting the somatosensory data of the game to the control device of the dynamic seat, and the control device of the dynamic seat controls the motion seat according to the somatosensory data of the game. , to give users a real rotation acceleration experience.

However, in the prior art, whether the game or the visual pickup of the virtual reality device combined with the application is far from the effect expected by the virtual reality device, and in order to obtain the immersive experience, complicated technical means are needed. .

Summary of the invention

In order to solve the above problems, the present invention provides a method, an apparatus, an electronic device, and a computer storage medium for processing user experience data, which can improve the immersive experience of the user and reduce the technical complexity and implementation cost of obtaining the immersive experience.

The present invention provides a method for processing user experience data, including:

Obtaining a feature value of the acceleration data output by the game;

Determining a signal scaling conversion parameter according to a feature value of the acceleration data output by the game and a feature value of the acceleration data of the preset dynamic seat;

The acceleration data output by the game is converted into the acceleration data output by the dynamic seat according to the signal scaling conversion parameter.

Optionally, before acquiring the feature value of the acceleration data output by the game, the method further includes:

Calculating acceleration data output by the game, the acceleration data including 3-axis angular acceleration and/or 3-axis linear acceleration;

Removing an abnormal value in the acceleration data;

And calculating a distribution range of the acceleration data after the abnormal value is removed, determining a feature value of the acceleration data output by the game, and the feature value of the acceleration data output by the game includes a first feature value, a second feature value, a third feature value, a fourth eigenvalue and a fifth eigenvalue;

Saving a correspondence between the game and the feature value of the acceleration data;

The first feature value is a minimum value of the statistical game output acceleration data; the second feature value is a minimum value of the preset percentage acceleration data in the statistical game output; and the third feature value is a statistical game output. The average value of the preset percentage acceleration data; the fourth characteristic value is the maximum value of the preset percentage acceleration data in the statistical game output; and the fifth characteristic value is the maximum value of the statistical game output acceleration data.

Optionally, removing the abnormal value in the acceleration data includes:

In the acceleration data, acceleration data that meets a preset abnormal data range is removed; and/or

In the acceleration data, the adjacent three data are averaged. If the intermediate position data of the adjacent three data exceeds the preset mean range, the intermediate position data is removed, the data average is recalculated, and the data is re-calculated. The calculated average value of the data replaces the intermediate position data.

Optionally, after removing the abnormal value in the acceleration data, the method includes:

Statistical processing is performed on the acceleration data after the abnormal value is removed, and the minimum value X _min and the maximum value X _max in the acceleration data are recorded, and the average value in the 80% acceleration data of the game output is counted.

The minimum of the 80% acceleration data of the statistical game output

The maximum value of the 80% acceleration data of the statistical game output

Optionally, acquiring the feature values of the acceleration data output by the game includes:

When the user starts to experience the game, the feature value of the acceleration data corresponding to the game is acquired according to the correspondence between the saved game and the feature values of the acceleration data according to the game identifier of the user experience.

Optionally, determining a signal scaling conversion parameter according to the feature value of the acceleration data output by the game and the feature value of the acceleration data of the preset dynamic seat, including:

Determining the first parameter and the second parameter according to the first feature value and the second feature value and the feature value of the preset acceleration data of the dynamic seat;

Determining, according to the second feature value, the third feature value, the fourth feature value, and the feature value of the preset acceleration data of the dynamic seat, the third parameter, the fourth parameter, and the fifth parameter;

The characteristic value of the acceleration data of the preset dynamic seat includes the maximum value of the acceleration data of the dynamic seat analog output, and is pre-configured according to the motor speed of the dynamic seat and the electric cylinder stroke amount.

Optionally, converting the acceleration data output by the game into the acceleration data output by the dynamic seat according to the signal scaling conversion parameter, including:

Converting the acceleration data output by the game into acceleration data output by the dynamic seat according to the signal scaling conversion formula;

Among them, the signal conversion ratio formula includes:

Where a is the first parameter, e is the second parameter, b is the third parameter, c is the fourth parameter, d is the fifth parameter, and _Xmin is the first eigenvalue.

Second characteristic value,

For the third eigenvalue,

For the fourth characteristic value, X _max is the fifth characteristic value, Y _max is the maximum value of the acceleration data of the dynamic seat simulation output, x is the acceleration data output by the game, and y is the acceleration data output by the dynamic seat.

Optionally, the method further includes:

Substituting in the signal scaling conversion formula (x=X _min , y=0)

The parameters a, e are obtained; that is, in the signal scaling conversion formula, when the acceleration data x output by the game is equal to X _min , the acceleration data y output by the dynamic seat is 0, and the acceleration data output by the game is set. x equals

When the acceleration data y output by the dynamic seat is equal to one-tenth of Y _max , the parameters a and e can be calculated;

Substituting in the signal scaling conversion formula

(

y=Y _max ), find the parameters b, c, d; that is, in the signal scaling conversion formula, let the acceleration data x output by the game equal

The acceleration data y output by the dynamic seat is

Let the acceleration data x output by the game equal

The acceleration data y output from the dynamic seat is equal to

Let the acceleration data x output by the game equal

At the time, the acceleration data y output from the dynamic seat is equal to Y _max , and the number of parameters b, c, and d is calculated.

The present invention also provides a device for processing user experience data, including:

An obtaining module, configured to acquire a feature value of the acceleration data output by the game;

a determining module, configured to determine a signal scaling conversion parameter according to a feature value of the acceleration data output by the game and a feature value of the acceleration data of the preset dynamic seat;

And a conversion module, configured to convert the acceleration data output by the game into the acceleration data output by the dynamic seat according to the signal scaling conversion parameter.

Optionally, the device further includes:

An acquisition module, configured to calculate acceleration data output by the game, the acceleration data including 3-axis angular acceleration and/or 3-axis linear acceleration;

An exception processing module, configured to remove an abnormal value in the acceleration data;

a statistical module, configured to calculate a distribution range of the acceleration data after the abnormal value is removed, and determine a feature value of the acceleration data output by the game, where the feature value of the acceleration data output by the game includes a first feature value, a second feature value, a third eigenvalue, a fourth eigenvalue, and a fifth eigenvalue;

a saving module, configured to save a correspondence between the game and the feature value of the acceleration data;

Optionally, the exception processing module is specifically configured to:

Optionally, the determining module is specifically configured to:

Optionally, the conversion module is specifically configured to:

Among them, the signal conversion ratio formula includes:

Second characteristic value,

For the third eigenvalue,

The application also provides an electronic device, including: a processor and a memory;

The memory is configured to store a program supporting a processing method of user experience data, the processor being configured to execute a program stored in the memory;

The program includes one or more computer instructions, wherein the one or more computer instructions are for execution by the processor.

The present application also provides a computer storage medium: computer software instructions for storing a processing method for supporting user experience data, the computer software instructions including a program involved in a method of processing the user experience data.

The embodiment of the present invention may perform pre-processing on different game acceleration data to obtain feature values of acceleration data of each game, and then, according to the feature values of the acceleration data of each game, combined with the structural features according to the dynamic seat. The acceleration data feature value determines the parameters required for subsequent signal scaling conversion. Since the above parameters are combined with the acceleration characteristic values of each game and the structural features of the dynamic seat, the dynamic seat converted by the signal reduction ratio is obtained. The acceleration data is the most realistic experience of the game. Therefore, the technical solution of the embodiment of the present invention can greatly improve the immersive experience of the user. At the same time, the technical solution of the embodiment of the present invention is simple to implement, and only needs to be used for each game. The acceleration number is statistically analyzed to extract the corresponding feature value, and the signal scaling output formula is directly used to perform the data output of the dynamic seat, so that the technical complexity and implementation cost of the immersive experience effect can be obtained.

DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, a brief description of the drawings used in the embodiments or the prior art description will be briefly described below. Obviously, the drawings in the following description It is a certain embodiment of the present invention, and other drawings can be obtained from those skilled in the art without any creative work.

FIG. 1 is a schematic flowchart of a method for processing user experience data according to an embodiment of the present invention;

2 is a schematic flow chart of a specific implementation method of step 101 in the embodiment shown in FIG. 1;

FIG. 3 is a schematic structural diagram of a device for processing user experience data according to an embodiment of the present invention;

FIG. 4 shows a schematic diagram of the internal configuration of the virtual reality helmet device 100 in some embodiments.

detailed description

The technical solutions of the present application will be clearly and completely described in the following with reference to the specific embodiments of the present application and the corresponding drawings. It is apparent that the described embodiments are only a part of the embodiments of the present application, and not all of them. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present application without departing from the inventive scope are the scope of the present application.

Although the combination of dynamic seat-like experience equipment and virtual reality can bring unprecedented real experience to the user, the inventors found in the process of implementing the invention that the body sense data of the game output for various dynamic seats, such as angular acceleration. The horizontal acceleration is different, and the dynamic seat type equipment is limited by its own design. The acceleration that can be simulated is limited. If the game's somatosensory data is simply output to the dynamic seat type control device (also known as the motor) ), there will be the following problems: 1. The acceleration range and mean value of different games are quite different. For different games, the effect difference cannot be achieved; 2. The acceleration range simulated by the motion seat type control device (also called motor) Limited, if the game's somatosensory data is directly output to the dynamic seat type control device (also known as the motor), the best experience effect can not be made for the human body's perceived characteristics, such as the human body's sensing characteristics are sensitive to the acceleration trigger signal, and the peak value The signal is not sensitive, which reduces the user's immersive gaming experience.

Therefore, in order to improve the user's immersive game experience, it is necessary to process the acceleration data outputted by various games, thereby improving the user's immersive game experience.

In view of the problem that the different game experiences proposed above cannot be differentiated and optimized, and the optimization processing for the sensing characteristics of the human body cannot be achieved, the present invention provides a method for processing user experience data, which optimizes the acceleration data outputted by the game. The pre-processing is then transmitted to the control device (motor) of the dynamic seat type to improve the user's immersive game experience, and pre-process the dangerous acceleration data output from the game to protect the safety of the dynamic seat.

FIG. 1 is a schematic flowchart of a method for processing user experience data according to an embodiment of the present invention. As shown in FIG. 1 , the method includes:

101. Acquire a feature value of the acceleration data output by the game;

Since the user experience of each type of game is different, in order to target the user experience of different games, the dynamic seat can be differentiated and optimized, and optimized for the sensing characteristics of the human body. In the embodiment of the present invention, the user experience of each game is analyzed, and the feature values of the acceleration data of each game are extracted in advance.

2 is a schematic flowchart of a specific implementation method of step 101 in the embodiment shown in FIG. 1, as shown in FIG. 2, and the specific implementation includes:

201. Acquire acceleration data outputted by each game;

The acceleration data includes, but is not limited to, at least one of a 3-axis angular acceleration and a 3-axis linear acceleration.

202. The abnormal value of the acceleration data collected above is removed.

Optionally, in the acceleration data, acceleration data that meets a preset abnormal data range is removed, where the setting of the abnormal data range may be specifically set according to a safety factor of each game;

Optionally, in the acceleration data, an average of each adjacent three data may be averaged. If the intermediate position data of the adjacent three data exceeds a preset mean value range, the intermediate position data is removed, and the calculation is performed. The average value of the data is substituted for the intermediate position data; for example, A, B, and C are adjacent data, and the data is obtained for the adjacent three positions A, B, and C. The average value is D. If the difference between the intermediate position data B and D is greater than the preset mean range (also known as the difference threshold), indicating that B is abnormal data, the abnormal data of B is discarded, and then A and C are recalculated. The average value E of the data is substituted for the recalculated average value E to replace the original intermediate position data B.

The above-mentioned abnormal data (hazardous acceleration data) appearing in the acceleration data outputted by the game is eliminated, and the dynamic seat can be protected to a certain degree. Because, generally, the rate of change of acceleration should not be very large. If the abnormal data is not removed, it may cause damage to the dynamic seat. The preset mean range (also known as the difference threshold) can be adaptively set according to the actual test data output characteristic value of each game.

203. The distribution range of the acceleration data after the abnormal value is removed is determined, and the feature value of the acceleration data output by the game is determined;

Optionally, the feature value of the acceleration data output by the game includes a first feature value, a second feature value, a third feature value, a fourth feature value, and a fifth feature value, wherein the first feature value is a statistical game. The minimum value of the output acceleration data; the second characteristic value is the minimum value of the preset percentage acceleration data in the statistical game output; the third characteristic value is the average value of the preset percentage acceleration data in the statistical game output; The feature value is the maximum value in the preset percentage acceleration data in the game output of the statistics; the fifth feature value is the maximum value in the acceleration data of the statistical game output.

For example, statistical processing is performed on the acceleration data after the abnormal value is removed, and the minimum value X _min and the maximum value X _max in the acceleration data can be recorded, and the average value in the 80% acceleration data of the game output is counted.

The minimum of the 80% acceleration data of the statistical game output

The maximum value of the 80% acceleration data of the statistical game output

204. Save a correspondence between each game and the feature values of the acceleration data of the game;

For example, the acceleration data feature value database may be established in advance, and the mapping relationship between the identification of each game and the corresponding feature value of the acceleration data is stored in the database.

205. Acquire a feature value of the acceleration data of the game according to the correspondence between the feature values of the saved game and the acceleration data thereof.

The above-mentioned acceleration data of each game is processed in advance, and the feature values of the acceleration data of each game are extracted and saved, so that when the user starts to experience the game, the game logo can be saved according to the user experience. The correspondence between the feature values of the game and its acceleration data acquires the feature value of the acceleration data corresponding to the game, and is directly used for subsequent signal scaling conversion, which greatly improves the real-time performance and reduces the lag of the user experience.

102. Determine a signal scaling conversion parameter according to the feature value of the acceleration data output by the game and the feature value of the preset acceleration data of the dynamic seat.

Specifically, the first parameter and the second parameter may be determined according to the determined first feature value and the second feature value and the feature value of the preset acceleration data of the dynamic seat; and the second feature value determined according to the foregoing Determining, by the three feature values, the fourth feature value, and the feature value of the acceleration data of the preset dynamic seat, determining the third parameter, the fourth parameter, and the fifth parameter;

Wherein, the characteristic value of the acceleration data of the preset dynamic seat includes the maximum value of the acceleration data of the dynamic seat analog output, which is pre-configured according to the motor speed of the dynamic seat and the electric cylinder stroke amount; for example, the dynamic seat After the structural characteristics are determined, taking the horizontal acceleration as an example, the maximum position amount (stroke amount) of the dynamic seat can also confirm that the power speed characteristic (motor running speed) of the motor that controls the movement of the dynamic seat can also be determined, based on the sense The maximum position amount (stroke amount) of the seat and the power speed characteristic of the motor (motor running speed) can be used to configure the characteristic value of the acceleration data of the dynamic seat. 103. Convert the acceleration data output by the game into the acceleration data output by the dynamic seat according to the signal scaling conversion parameter.

Specifically, the acceleration data output by the game may be converted into the acceleration data output by the dynamic seat according to the signal reduction ratio conversion formula;

Among them, the signal conversion ratio formula includes:

Second characteristic value,

For the third eigenvalue,

Specifically, it is substituted in the above-mentioned signal scaling conversion formula (x=X _min , y=0)

The parameters a and e can be obtained; that is, in the above-mentioned signal scaling conversion formula, when the acceleration data x output by the game is equal to X _min , the acceleration data y output by the dynamic seat is 0, and the acceleration data output by the game is set. x equals

Substituting in the above signal scaling conversion formula

(

y=Y _max ), the parameters b, c, and d can be obtained; that is, in the above-mentioned signal scaling conversion formula, the acceleration data x of the game output is set equal to

The acceleration data y output by the dynamic seat is

Let the acceleration data x output by the game equal

The acceleration data y output from the dynamic seat is equal to

Let the acceleration data x output by the game equal

When the acceleration data y output from the dynamic seat is equal to Y _max , the number of parameters b, c, and d can be calculated.

The embodiment of the invention provides an optimization method for a dynamic seat game experience, which can be pre-processed for different game acceleration data to obtain feature values of acceleration data of each game, and then according to acceleration data of each game. The characteristic value, combined with the acceleration data feature value preset according to the structural characteristics of the dynamic seat, determines the parameters required for subsequent signal scaling conversion, since the above parameters are combined with the acceleration characteristic values of each game and the dynamic seat The structural feature of the dynamic seat of the dynamic seat is the most realistic experience of the game. Therefore, the technical solution of the embodiment of the present invention can greatly improve the immersive experience of the user, and at the same time, the present invention The technical solution of the embodiment is simple to implement, and only needs to perform statistical analysis on the acceleration number of each game to extract corresponding feature values, and directly use the signal reduction ratio conversion formula to perform data output of the dynamic seat, thereby obtaining an immersive experience effect. Technical complexity and implementation costs.

The technical solution of the embodiment of the present invention can specifically perform data processing on a computer device. wherein the game is run on the computer device, the VR helmet is connected to the computer device, and the game screen can be displayed. The motion controller is provided with a motion controller and a motion controller. Connected to a computer device, the motion controller converts the data processed by the computer device into a somatosensory motion to complete the user experience.

The specific implementation of the technical solution of the embodiment of the present invention is described in detail below:

1. Acquire acceleration data output by the game, including 3-axis angular acceleration and 3-axis linear acceleration;

For example, the user clicks on the game to start the run, and the 3-axis angular acceleration and the 3-axis linear acceleration of the game output are acquired through the UDP port of the game output.

2. Pre-processing the acceleration data of the game;

First, the abnormal value in the acceleration data is removed, and each adjacent three data is averaged to determine whether the intermediate position data is normal. If the intermediate position data exceeds a certain range of the mean value (difference threshold), the intermediate position data is discarded. The average value of the data is recalculated, and the abnormal data is replaced by the average value; the removal of the abnormal data (smoothing processing) can protect the motor that controls the movement of the dynamic seat from a sudden change in acceleration.

After that, statistical processing is performed on the acceleration data after the abnormal processing, and the acceleration minimum value X _min and the acceleration maximum X _{max are} recorded, and the data falling within 80% of the average position is recorded, and the minimum value of the 80% data is recorded.

Maximum

Mean

Thereafter, the game name and the maximum, minimum, and intermediate mean values of the acceleration data obtained by the above statistics, and the intermediate mean range are saved.

3. Real-time signal scaling conversion;

After the user clicks on the game experience, according to the data stored in the above 2, the maximum value, the minimum value, and the intermediate mean value of the game acceleration data obtained before the pre-processing, and the intermediate mean value range are read, and the signal scaling conversion is performed.

Specifically, the segmentation processing and the nonlinear processing may be used to perform signal scaling conversion. For example, according to the minimum value of the game acceleration data obtained above, the intermediate mean value of the acceleration data and the range thereof, and the maximum value of the acceleration data, the game is input. The acceleration data is processed in 3 stages, and the minimum value to the lower limit of the mean (the minimum value of the middle mean range) is processed according to the linear method, and the lower limit of the mean (the minimum value of the middle mean range) to the upper limit of the mean (the maximum value of the middle mean range) is adopted. The second-order polynomial performs signal conversion, and smoothes the upper limit of the mean (the maximum value of the middle mean range) to the maximum value of the acceleration data. Since the data in this part is small, the user's real experience is not affected. At the same time, the maximum simulated acceleration Y _{max of the} dynamic seat can be pre-configured according to the structural characteristics of the dynamic seat.

The following is the relationship between the output data y of the dynamic seat and the input data x of the game:

Using the first parameter a, the second parameter e, the third parameter b, the fourth parameter c, and the fifth parameter d after the above calculation is completed, the game acceleration data x input in real time is converted into the adaptive motion seat in each operation. The acceleration data y of the chair is output, and the motion controller of the kinematic seat controls the movement of the kinematic seat according to the output acceleration data y, thereby converting the output acceleration data y into a somatosensory motion to complete the user's real experience.

FIG. 3 is a schematic structural diagram of a device for processing user experience data according to an embodiment of the present invention. As shown in FIG. 3, the method includes:

The obtaining module 31 is configured to acquire a feature value of the acceleration data output by the game;

a determining module 32, configured to determine a signal scaling conversion parameter according to a feature value of the acceleration data output by the game and a feature value of the acceleration data of the preset dynamic seat;

The conversion module 33 is configured to convert the acceleration data output by the game into the acceleration data output by the dynamic seat according to the signal scaling conversion parameter.

In some embodiments, the apparatus further includes:

The acquisition module 34 is configured to calculate acceleration data of the game, where the acceleration data includes 3-axis angular acceleration and/or 3-axis linear acceleration;

An exception processing module 35, configured to remove an abnormal value in the acceleration data;

The statistic module 36 is configured to calculate a distribution range of the acceleration data after the abnormal value is removed, determine a feature value of the acceleration data output by the game, and the feature value of the acceleration data output by the game includes the first feature value and the second feature value. a third eigenvalue, a fourth eigenvalue, and a fifth eigenvalue; wherein the first eigenvalue is a minimum value of the statistical game output acceleration data; the second eigenvalue is a preset percentage of the statistical game output The minimum value in the acceleration data; the third characteristic value is an average value of the preset percentage acceleration data in the statistical game output; the fourth characteristic value is the maximum value in the preset percentage acceleration data in the statistical game output; the fifth characteristic value The maximum value in the acceleration data output for the statistical game;

The saving module 37 is configured to save a correspondence between the game and the feature value of the acceleration data, so that the obtaining module 31 acquires the feature value of the acceleration data of the game according to the correspondence stored in the saving module.

In some embodiments, the exception handling module 35 is specifically configured to:

In the acceleration data, the acceleration data that meets the preset abnormal data range is removed; and/or in the acceleration data, the adjacent three data are averaged, if the intermediate position data of the adjacent three data exceeds The preset mean range is removed, the intermediate position data is removed, the data average is recalculated, and the recalculated average value is substituted for the intermediate position data.

In some embodiments, the determining module 32 is specifically configured to:

The characteristic value of the acceleration data of the preset dynamic seat includes the maximum value of the acceleration data of the dynamic seat analog output, which is pre-configured according to the motor speed of the dynamic seat and the electric cylinder stroke amount.

In some embodiments, the conversion module 33 is specifically configured to:

Among them, the signal conversion ratio formula includes:

Second characteristic value,

For the third eigenvalue,

The apparatus shown in the embodiment of the present invention can perform the methods shown in FIG. 1 and FIG. 2, and the implementation principles and technical effects thereof are not described again.

In the embodiment of the present invention, the processing device of the user experience data includes a processor and a memory, where the memory is used to store a processing method for the user experience data in the embodiment shown in FIG. And a processor configured to execute a program stored in the memory.

The embodiment of the present invention further provides a computer storage medium, which is used to store computer software instructions used by a processing device for storing user experience data, where the computer software instruction includes a processing method for executing the user experience data as user experience data. The program involved in the processing device.

The electronic device provided by some embodiments of the present invention may be a virtual reality helmet device including a processor and a memory; wherein the memory stores a program for processing the user experience data, the processing The device is configured to execute the program stored in the memory, and can perform pre-processing for different game acceleration data to obtain feature values of acceleration data of each game, and further according to the feature value of the acceleration data of each game. Combining the acceleration data characteristic values preset according to the structural features of the dynamic seat, determining the parameters required for subsequent signal scaling conversion, since the above parameters are combined with the acceleration characteristic values of each game and the structural features of the dynamic seat Therefore, the acceleration data of the dynamic seat obtained by the signal reduction ratio conversion is the most realistic experience of the game, and therefore, the immersive experience of the user can be greatly improved.

The display unit 101 may include a display panel disposed on a side surface of the head mounted display device 100 facing the user's face, and may be a one-piece panel or left and right panels respectively corresponding to the left and right eyes of the user. The display panel may be an electroluminescence (EL) element, a liquid crystal display or a microdisplay having a similar structure, or a laser-scanned display in which the retina may be directly displayed or similar.

The virtual image optical unit 102 photographs the image displayed by the display unit 101 in an enlarged manner, and allows the user to observe the displayed image in the enlarged virtual image. As the display image outputted to the display unit 101, it may be an image of a virtual scene supplied from a content reproduction device (a Blu-ray disc or a DVD player) or a streaming server, or an image of a real scene photographed using the external camera 110. In some embodiments, virtual image optical unit 102 can include a lens unit, such as a spherical lens, an aspheric lens, a Fresnel lens, and the like.

The input operation unit 103 includes at least one operation member for performing an input operation, such as a button, a button, a switch, or other similarly functioned component, receives a user instruction through the operation member, and outputs an instruction to the control unit 107.

The status information acquisition unit 104 is configured to acquire status information of the user wearing the head mounted display device 100. The status information acquisition unit 104 may include various types of sensors for detecting status information by itself, and may acquire status information from an external device such as a smartphone, a wristwatch, and other multi-function terminals worn by the user through the communication unit 105. The status information acquisition unit 104 can acquire location information and/or posture information of the user's head. The status information acquisition unit 104 may include one or more of a gyro sensor, an acceleration sensor, a global positioning system (GPS) sensor, a geomagnetic sensor, a Doppler effect sensor, an infrared sensor, and a radio frequency field intensity sensor. Further, the state information acquisition unit 104 acquires state information of the user wearing the head-mounted display device 100, for example, acquires, for example, an operation state of the user (whether the user wears the head-mounted display device 100), an action state of the user (such as standing, walking, running) And the state of movement such as the state of the hand or fingertip, the open or closed state of the eye, the direction of the line of sight, the size of the pupil, the mental state (whether the user is immersed in observing the displayed image, and the like), or even the physiological state.

The communication unit 105 performs communication processing, modulation and demodulation processing with an external device, and encoding and decoding processing of the communication signal. In addition, the control unit 107 can transmit transmission data from the communication unit 105 to an external device. The communication method may be wired or wireless, such as mobile high-definition link (MHL) or universal serial bus (USB), high-definition multimedia interface (HDMI), wireless fidelity (Wi-Fi), Bluetooth communication, or low-power Bluetooth communication. And the mesh network of the IEEE802.11s standard. Additionally, communication unit 105 can be a cellular wireless transceiver that operates in accordance with Wideband Code Division Multiple Access (W-CDMA), Long Term Evolution (LTE), and the like.

In some embodiments, the head mounted display device 100 can also include a storage unit, which is a mass storage device configured to have a solid state drive (SSD) or the like. In some embodiments, storage unit 106 can store applications or various types of data. For example, content viewed by the user using the head mounted display device 100 may be stored in the storage unit 106.

In some embodiments, the head mounted display device 100 may further include a control unit, and the control unit 107 may include a computer processing unit (CPU) or other device having similar functions. In some embodiments, control unit 107 may be used to execute an application stored by storage unit 106, or control unit 107 may also be used to perform the methods, functions, and operations disclosed in some embodiments of the present application.

The image processing unit 108 is for performing signal processing such as image quality correction related to the image signal output from the control unit 107, and converting its resolution into a resolution according to the screen of the display unit 101. Then, the display driving unit 109 sequentially selects each line of pixels of the display unit 101, and sequentially scans each line of pixels of the display unit 101 line by line, thereby providing a pixel signal based on the signal-processed image signal.

In some embodiments, the head mounted display device 100 can also include an external camera. The external camera 110 may be disposed on a front surface of the body of the head mounted display device 100, and the external camera 110 may be one or more. The external camera 110 can acquire three-dimensional information and can also be used as a distance sensor. Additionally, a position sensitive detector (PSD) or other type of distance sensor that detects reflected signals from the object can be used with the external camera 110. The external camera 110 and the distance sensor can be used to detect the body position, posture, and shape of the user wearing the head mounted display device 100. In addition, under certain conditions, the user can directly view or preview the real scene through the external camera 110.

In some embodiments, the head mounted display device 100 may further include a sound processing unit 111 that can perform sound quality correction or sound amplification of the sound signal output from the control unit 107, signal processing of the input sound signal, and the like. Then, the sound input/output unit 112 outputs the sound to the outside and the sound from the microphone after the sound processing.

It should be noted that the structure or component shown by the dotted line in FIG. 4 may be independent of the head mounted display device 100, for example, may be disposed in an external processing system (for example, a computer system) for use with the head mounted display device 100; or The structure or component shown by the dashed box may be disposed inside or on the surface of the head mounted display device 100.

Those skilled in the art will appreciate that embodiments of the present invention can be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or a combination of software and hardware. Moreover, the invention can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.

The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (system), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine for the execution of instructions for execution by a processor of a computer or other programmable data processing device. Means for implementing the functions specified in one or more of the flow or in a block or blocks of the flow chart.

The computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device. The apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.

These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device. The instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include non-persistent memory, random access memory (RAM), and/or non-volatile memory in a computer readable medium, such as read only memory (ROM) or flash memory. Memory is an example of a computer readable medium.

Computer readable media includes both permanent and non-persistent, removable and non-removable media. Information storage can be implemented by any method or technology. The information can be computer readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory. (ROM), electrically erasable programmable read only memory (EEPROM), flash memory or other memory technology, compact disk read only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, Magnetic tape cartridges, magnetic tape storage or other magnetic storage devices or any other non-transportable media can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary storage of computer readable media, such as modulated data signals and carrier waves.

It is also to be understood that the terms "comprises" or "comprising" or "comprising" or any other variations are intended to encompass a non-exclusive inclusion, such that a process, method, article, Other elements not explicitly listed, or elements that are inherent to such a process, method, commodity, or equipment. An element defined by the phrase "comprising a ...", without further limitation, does not exclude the presence of additional equivalent elements in the process, method, item, or device that comprises the element.

Those skilled in the art will appreciate that embodiments of the present application can be provided as a method, system, or computer program product. Thus, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment in combination of software and hardware. Moreover, the application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) including computer usable program code.

The above description is only an embodiment of the present application and is not intended to limit the application. Various changes and modifications can be made to the present application by those skilled in the art. Any modifications, equivalents, improvements, etc. made within the spirit and scope of the present application are intended to be included within the scope of the appended claims.

Claims

A method for processing user experience data, comprising:

Obtaining a feature value of the acceleration data output by the game;

Determining a signal scaling conversion parameter according to a feature value of the acceleration data output by the game and a feature value of the acceleration data of the preset dynamic seat;

The acceleration data output by the game is converted into the acceleration data output by the dynamic seat according to the signal scaling conversion parameter.
The method according to claim 1, wherein before acquiring the feature value of the acceleration data output by the game, the method further comprises:

Calculating acceleration data output by the game, the acceleration data including 3-axis angular acceleration and/or 3-axis linear acceleration;

Removing an abnormal value in the acceleration data;

And calculating a distribution range of the acceleration data after the abnormal value is removed, determining a feature value of the acceleration data output by the game, and the feature value of the acceleration data output by the game includes a first feature value, a second feature value, a third feature value, a fourth eigenvalue and a fifth eigenvalue;

Saving a correspondence between the game and the feature value of the acceleration data;

The first feature value is a minimum value of the statistical game output acceleration data; the second feature value is a minimum value of the preset percentage acceleration data in the statistical game output; and the third feature value is a statistical game output. The average value of the preset percentage acceleration data; the fourth characteristic value is the maximum value of the preset percentage acceleration data in the statistical game output; and the fifth characteristic value is the maximum value of the statistical game output acceleration data.
The method according to claim 2, wherein removing the abnormal value in the acceleration data comprises:

In the acceleration data, acceleration data that meets a preset abnormal data range is removed; and/or

In the acceleration data, the adjacent three data are averaged. If the intermediate position data of the adjacent three data exceeds the preset mean range, the intermediate position data is removed, the data average is recalculated, and the data is re-calculated. The calculated average value of the data replaces the intermediate position data.
The method according to claim 3, wherein after removing the abnormal value in the acceleration data, the method comprises:

Statistical processing is performed on the acceleration data after the abnormal value is removed, and the minimum value X min and the maximum value X max in the acceleration data are recorded, and the average value in the 80% acceleration data of the game output is counted.
The minimum of the 80% acceleration data of the statistical game output
The maximum value of the 80% acceleration data of the statistical game output
The method according to claim 2, wherein acquiring the feature values of the acceleration data output by the game comprises:

When the user starts to experience the game, the feature value of the acceleration data corresponding to the game is acquired according to the correspondence between the saved game and the feature values of the acceleration data according to the game identifier of the user experience.
The method according to any one of claims 2 to 5, wherein the signal scaling conversion parameter is determined according to the characteristic value of the acceleration data output by the game and the characteristic value of the acceleration data of the preset dynamic seat ,include:

Determining the first parameter and the second parameter according to the first feature value and the second feature value and the feature value of the preset acceleration data of the dynamic seat;

Determining, according to the second feature value, the third feature value, the fourth feature value, and the feature value of the preset acceleration data of the dynamic seat, the third parameter, the fourth parameter, and the fifth parameter;

The characteristic value of the acceleration data of the preset dynamic seat includes the maximum value of the acceleration data of the dynamic seat analog output, and is pre-configured according to the motor speed of the dynamic seat and the electric cylinder stroke amount.
The method according to claim 6, wherein converting the acceleration data output by the game into the acceleration data output by the dynamic seat according to the signal scaling conversion parameter comprises:

Converting the acceleration data output by the game into acceleration data output by the dynamic seat according to the signal scaling conversion formula;

Among them, the signal conversion ratio formula includes:

Where a is the first parameter, e is the second parameter, b is the third parameter, c is the fourth parameter, d is the fifth parameter, and Xmin is the first eigenvalue.
Second characteristic value,
For the third eigenvalue,
For the fourth characteristic value, X max is the fifth characteristic value, Y max is the maximum value of the acceleration data of the dynamic seat simulation output, x is the acceleration data output by the game, and y is the acceleration data output by the dynamic seat.
The method of claim 7 further comprising:

Substituting in the signal scaling conversion formula
The parameters a, e are obtained; that is, in the signal scaling conversion formula, when the acceleration data x output by the game is equal to X min , the acceleration data y output by the dynamic seat is 0, and the acceleration data output by the game is set. x equals
When the acceleration data y output by the dynamic seat is equal to one-tenth of Y max , the parameters a and e can be calculated;

Substituting in the signal scaling conversion formula

Find the parameters b, c, d; that is, in the signal scaling conversion formula, let the acceleration data x output by the game equal
The acceleration data y output by the dynamic seat is
Let the acceleration data x output by the game equal
The acceleration data y output from the dynamic seat is equal to
Let the acceleration data x output by the game equal
At the time, the acceleration data y output from the dynamic seat is equal to Y max , and the number of parameters b, c, and d is calculated.
A device for processing user experience data, comprising:

An obtaining module, configured to acquire a feature value of the acceleration data output by the game;

a determining module, configured to determine a signal scaling conversion parameter according to a feature value of the acceleration data output by the game and a feature value of the acceleration data of the preset motion seat;

And a conversion module, configured to convert the acceleration data output by the game into the acceleration data output by the dynamic seat according to the signal scaling conversion parameter.
The device according to claim 9, further comprising:

An acquisition module, configured to calculate acceleration data output by the game, the acceleration data including 3-axis angular acceleration and/or 3-axis linear acceleration;

An exception processing module, configured to remove an abnormal value in the acceleration data;

a statistical module, configured to calculate a distribution range of the acceleration data after the abnormal value is removed, and determine a feature value of the acceleration data output by the game, where the feature value of the acceleration data output by the game includes a first feature value, a second feature value, a third eigenvalue, a fourth eigenvalue, and a fifth eigenvalue;

a saving module, configured to save a correspondence between the game and the feature value of the acceleration data;

The first feature value is a minimum value of the statistical game output acceleration data; the second feature value is a minimum value of the preset percentage acceleration data in the statistical game output; and the third feature value is a statistical game output. The average value of the preset percentage acceleration data; the fourth characteristic value is the maximum value of the preset percentage acceleration data in the statistical game output; and the fifth characteristic value is the maximum value of the statistical game output acceleration data.
The device according to claim 10, wherein the exception processing module is specifically configured to:

In the acceleration data, acceleration data that meets a preset abnormal data range is removed; and/or

In the acceleration data, the adjacent three data are averaged. If the intermediate position data of the adjacent three data exceeds the preset mean range, the intermediate position data is removed, the data average is recalculated, and the data is re-calculated. The calculated average value of the data replaces the intermediate position data.
The device according to claim 10 or 11, wherein the determining module is specifically configured to:

Determining the first parameter and the second parameter according to the first feature value and the second feature value and the feature value of the preset acceleration data of the dynamic seat;

Determining, according to the second feature value, the third feature value, the fourth feature value, and the feature value of the preset acceleration data of the dynamic seat, the third parameter, the fourth parameter, and the fifth parameter;

The characteristic value of the acceleration data of the preset dynamic seat includes the maximum value of the acceleration data of the dynamic seat analog output, and is pre-configured according to the motor speed of the dynamic seat and the electric cylinder stroke amount.
The device according to claim 12, wherein the conversion module is specifically configured to:

Converting the acceleration data output by the game into acceleration data output by the dynamic seat according to the signal scaling conversion formula;

Among them, the signal conversion ratio formula includes:

Where a is the first parameter, e is the second parameter, b is the third parameter, c is the fourth parameter, d is the fifth parameter, and Xmin is the first eigenvalue.
Second characteristic value,
For the third eigenvalue,
For the fourth characteristic value, X max is the fifth characteristic value, Y max is the maximum value of the acceleration data of the dynamic seat simulation output, x is the acceleration data output by the game, and y is the acceleration data output by the dynamic seat.
An electronic device, comprising: a processor and a memory;

The memory is configured to store a program supporting a processing method of user experience data according to any one of claims 1 to 8, the processor being configured to execute a program stored in the memory;

The program includes one or more computer instructions, wherein the one or more computer instructions are for execution by the processor.
A computer storage medium for storing computer software instructions for use in a processing method for supporting user experience data according to any one of claims 1 to 8, the computer software instructions comprising A program related to a method of processing user experience data.