WO2022217846A1

WO2022217846A1 - Game interaction method and system, and server and storage medium

Info

Publication number: WO2022217846A1
Application number: PCT/CN2021/120554
Authority: WO
Inventors: 宋轩; 陈纪元; 张浩然; 江宇辰; 黄文杰; 谢洪彬
Original assignee: 南方科技大学
Priority date: 2021-04-14
Filing date: 2021-09-26
Publication date: 2022-10-20
Also published as: CN113117343B; CN113117343A

Abstract

A game interaction method and system, and a server and a storage medium. The method comprises: obtaining a game matching request of a user (S110); matching a game team for the user on the basis of the game matching request (S120); obtaining reality interaction data of a plurality of users in a same game team, the reality interaction data comprising at least one of close connection data, reality image data, and positioning data (S130); and determining a corresponding game event on the basis of the reality interaction data so as to push a game process on the basis of the game event (S140). In the method, the reality interaction data is used as determination data of the game event, a virtual response corresponding to the reality can be obtained in a game, the virtuality of the game is interacted with the reality, the reality interactivity of the game is enhanced, the user can be guided to carry out a reality activity such that the addiction to a virtual world is reduced, and meanwhile, the playability of the game is enhanced.

Description

Game interaction method, system, server and storage medium

technical field

The present invention relates to the field of computer technology, and in particular, to a game interaction method, system, server and storage medium.

Background technique

With the continuous improvement of the quality of life, people have higher standards for the pursuit of entertainment, and more spiritual pursuits need to be satisfied. During this period, colorful and distinctive mobile games have become the way of entertainment for the vast majority of people. However, the study pointed out that although the main function of mobile games is to entertain life, in most cases, it also acts as a social media for entertainment communication between users, and many players even regard game socialization as a rigid demand. However, as far as the current situation is concerned, most of the research on the interactivity of mobile games is based on the Internet level, which actually limits the social interaction between players to a certain extent. At the same time, being addicted to online games and lack of exercise also causes great harm to the player's body. Therefore, how to pay more attention to the combination of online and offline games, combine virtual and reality, and encourage players to substitute games into reality will become the main research direction of the next generation of online games.

technical problem

In view of this, the present invention provides a game interaction method, system, server and storage medium, so as to interact the virtual and reality of the game and enhance the real interaction of the game.

technical solutions

In a first aspect, the present invention provides a game interaction method, the method comprising:

Get the user's game matching request;

Matching a game team for the user based on the game matching request;

Acquiring real interaction data of multiple users in the same game team, where the real interaction data includes at least one of close contact data, real image data and positioning data;

A corresponding game event is determined based on the real interaction data, so as to promote the game progress based on the game event.

In a second aspect, the present invention provides a game interaction system, including:

The matching request obtaining module is used to obtain the user's game matching request;

a matching module for matching a game team for a user based on the game matching request;

an interactive data acquisition module, configured to acquire real interactive data of multiple users in the same game team, where the real interactive data includes at least one of close contact data, real image data and positioning data;

A game promotion module, configured to determine a corresponding game event based on the real interaction data, so as to promote a game process based on the game event.

In a third aspect, the present invention provides a server, including:

one or more processors;

a storage system for storing one or more programs;

When the one or more programs are executed by the one or more processors, the one or more processors can implement the game interaction method provided by any embodiment of the present invention.

In a fourth aspect, the present invention provides a computer-readable storage medium, where the storage medium stores a computer program, the computer program includes program instructions, and the program instructions, when executed, implement any one of the embodiments of the present invention. game interaction method.

beneficial effect

The game interaction method provided by the present invention first obtains the user's game matching request, then matches the user with a game team according to the user's game matching request, then obtains the real interaction data of multiple users in the same game team, and finally determines the corresponding game based on the real interaction data. The game event is based on the game event, so as to promote the game process based on the game event, this embodiment uses the real interaction data as the determination data of the game event, can obtain the virtual response corresponding to the reality in the game, interacts the virtual and reality of the game, and enhances the The realistic interactivity of the game can guide the user to perform real activities, thereby reducing the addiction to the virtual world, and at the same time enhancing the playability of the game.

Description of drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the accompanying drawings used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only These are some of the embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained according to the provided drawings without any creative effort.

FIG. 1 is a flowchart of a game interaction method according to Embodiment 1 of the present invention;

FIG. 2 is a sub-flow chart of a game interaction method provided in Embodiment 2 of the present invention;

3 is a sub-flow diagram of a game interaction method provided in Embodiment 2 of the present invention;

4 is a sub-flow diagram of a game interaction method provided in Embodiment 2 of the present invention;

5 is a schematic structural diagram of a game interaction system according to Embodiment 3 of the present invention;

FIG. 6 is a schematic structural diagram of a server according to Embodiment 4 of the present invention.

Embodiments of the present invention

The technical solutions in the implementation of the present application will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present application. It should be understood that, the specific embodiments described herein are only a part of the embodiments of the present application, rather than all the embodiments, and are only used to explain the present application rather than limit the present application. In addition, it should be noted that, based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.

Furthermore, the terms "first," "second," etc. may be used herein to describe various directions, acts, steps or elements, etc., but are not limited by these terms. These terms are only used to distinguish a first direction, act, step or element from another direction, act, step or element. For example, a first region could be termed a second region, and, similarly, a second region could be termed a first region, without departing from the scope of the present disclosure. Both the first region and the second region are regions, but they are not the same region. The terms "first", "second" and the like should not be understood as indicating or implying relative importance or implying the number of technical features indicated. Thus, a feature defined as "first" or "second" may expressly or implicitly include one or more of that feature. In the description of the present invention, "plurality" means at least two, such as two, three, etc., unless otherwise expressly and specifically defined. It should be noted that when a part is referred to as being "fixed to" another part, it can be directly on the other part or there may be a central part. When one part is said to be "connected" to another part, it may be directly connected to the other part or there may be an intervening part at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for the purpose of illustration only and do not represent the only embodiment.

Before discussing the exemplary embodiments in greater detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowchart depicts the steps as a sequential process, many of the steps may be performed in parallel, concurrently, or concurrently. Furthermore, the order of the steps can be rearranged. The process may be terminated when its operation is complete, but may also have additional steps not included in the figures. A process may correspond to a method, function, procedure, subroutine, subroutine, or the like.

Example 1

This embodiment provides a game interaction method, which is implemented by software and/or hardware, and is applied to various online games. It can be implemented based on a terminal or a server, or can be implemented through interaction between a terminal and a server. The game server is used as an example to illustrate. Referring to Figure 1, the method includes the following steps:

S110. Acquire a game matching request of the user.

The matching request is sent by the user based on the game client to notify the server that the user needs to start the game, so that the server can add the user to the game. Specifically, the game matching request includes a variety of data, such as user identification (user ID), user geographic location, request time, etc., which are not listed here.

Specifically, there is a communication connection between the game client and the server, and the server can obtain the data sent by the game client in a wired or wireless manner. When the user needs to play a game, the user performs corresponding operations based on the game client to make the game client The game requirements of the user are determined, and the game client generates a game matching request according to the user's operation, so that the server receives the game matching request from the game client.

S120. Match a game team for the user based on the game matching request.

The game team is composed of multiple users, and is used to represent all players (ie, users) who play the same game. The game in this embodiment requires multiple people to participate, so the users who have sent the game matching request will be matched, and multiple users will be selected to form a game team according to certain rules. Specifically, there are many kinds of matching rules, such as matching rules based on adjacent request times and similar user strength, which are not listed here.

Specifically, in this embodiment, the server is provided with a matching algorithm for matching users, which can analyze the specific situation of the user according to the game matching request, and perform matching according to certain rules according to the specific situation of the user, and the matched user is the Belonging to the same game team, it should be noted that the same game team referred to here does not refer to the friendly relationship, but refers to the user in the same game match (that is, there are interactive game events between users), the relationship between users Can be friendly or enemy.

S130. Acquire real interaction data of multiple users of the same game team, where the real interaction data includes at least one of close contact data, real image data, and positioning data.

Real interaction data includes relevant data obtained based on the user's real behavior and that can affect the game. Specifically, the real interaction data includes at least one of real image data, close connection data and positioning data uploaded by the user through the game client, wherein: the close connection data includes the Bluetooth connection data between the game clients; the real image data includes the user through The image or video shot by the game client; the positioning data includes the GPS (Global Positioning System, global positioning system) data of the game client.

Specifically, after matching a game team for the user, the server will obtain game-related data sent by the game client terminals of all users in the same team, that is, the real interaction data, for playing the game.

S140. Determine a corresponding game event based on the real interaction data, so as to promote a game process based on the game event. Game events represent game content used to advance the game process, such as acquiring props, completing communication, etc. Different game events have different effects on the game process.

Specifically, the server is provided with an interaction algorithm that performs game correlation analysis on real interaction data to display game events corresponding to the interaction data according to the analysis, so as to push game progress according to different game events, so as to implement games between users. Specifically, as mentioned above, the real interaction data includes at least one of close contact data, real image data, and positioning data. In some embodiments, the above three types of real interaction data determine corresponding game events in different ways, specifically including: : if the real interaction data includes contact data, determine the user contact situation according to the contact data, and determine the corresponding game event according to the user contact situation;

If the real interaction data includes real image data, perform identification according to the real image data to determine whether the game rules are met according to the identification result, and if so, determine the corresponding game event according to the identification result;

If the real interaction data includes positioning data, the user's position information is determined according to the positioning data, and the corresponding game event is determined according to the position information.

In order to facilitate understanding, the game client is used as a terminal device such as a smart phone as a specific example to illustrate the use process of the above three kinds of real interactive data:

In some embodiments, the Android operating system of the smart phone provides a Bluetooth function interface, which is integrated in the android.bluetooth package, and can be used by developers to develop applications using the Bluetooth technology. During the process of the game, the close connection system is used in the background of the application to continuously scan for external Bluetooth devices.

After the connection is established, the two smartphones will exchange the device MAC code, user ID, time address information and forward it to the server. The form of the event is returned to the client.

In some embodiments, the game client uses computer vision (CV) technology to obtain and display image data. The computer vision technology is exemplified by Python+ImageAI. ImageAI is an open-source computer intelligent vision library that currently supports the use of ImageNet-1000 data. 4 different machine learning algorithms trained on the set for image prediction and training. ImageAI also supports object detection, video detection and object tracking using RetinaNet, YOLOv3 and TinyYOLOv3 trained on the COCO dataset. At the same time, mobile phone chips are also gradually providing potential acceleration for third-party artificial intelligence applications, such as the Kirin 970, which makes it possible for AI algorithms to run on mobile phones. The following two specific examples illustrate the process of determining game events based on real image data: the player uses the mobile phone camera to take a picture, and the intelligent algorithm detects the object in the picture and returns the recognition result; the player turns on the mobile phone camera to aim at the object, because ImageAI currently Real-time video detection with support for camera input, using OpenCV's VideoCapture() function, an application can load a live video stream from a device camera, a camera connected via a cable or an IP camera, and parse it into ImageAI's DetectObjectsFromVideo() and DetectCustomObjectsFromVideo The () function performs object recognition and returns the recognition result. The server makes a judgment according to the identification result, and if the identification result conforms to the game regulations, the corresponding game event can be obtained.

In some embodiments, the Android mobile phone system has its own GPS positioning service and is integrated in the android.location package. By using the Android built-in API to obtain the geographic location information corresponding to the player's GPS, positioning is performed every 1 second and is in XML file format. It is stored in the mobile phone's own database, and the data is sent to the server for further processing after real-time positioning of the mobile phone. The game system (ie the server) itself will also respond to certain game events according to the player's position information at the moment.

According to the above example of close connection data, close connection data is generated by the connection of the user's game client, and the connection between users not in the same game team will cause interference and pressure on data processing. Therefore, optional , in some embodiments, after step S120, it further includes step S150 (not shown in the figure):

S150. Send the device addresses of all users in the same game team to all users in the same game team, so that the users in the same game team perform the same process according to the device addresses of all users in the same game team. Team close.

Exemplarily, the built-in BluetoothDevice class of the Android system (used to request a Bluetooth connection) contains the MAC address of the current device, and our player has already sent the MAC address of his device to the server when matching, so we can The local machine can only connect and transmit data with the local machine to which the MAC address recorded in the same team on the server belongs, which greatly reduces the connection interference to a certain extent. More specifically, in some embodiments, in order to prevent the occurrence of continuous close contact events in a short period of time, in the design of the close contact system, after the first close contact occurs, the thread of the local Bluetooth scanning will be put into a deep sleep for 5 seconds. After waking up again, the local Bluetooth device does not interact with the external Bluetooth device during the sleeping process.

This embodiment provides a game interaction method, which first obtains a user's game matching request, then matches the user with a game team according to the user's game matching request, and then obtains the real interaction data of multiple users in the same game team, and finally based on the real interaction The data determines the corresponding game event, so as to promote the game process based on the game event. In this embodiment, the real interaction data is used as the determination data of the game event, and the virtual reaction corresponding to the reality can be obtained in the game, and the virtual interaction of the game and the reality can be obtained. , which enhances the real interaction of the game, can guide users to perform real activities, thereby reducing the addiction to the virtual world, and at the same time enhancing the playability of the game.

Embodiment 2

This embodiment further explains and exemplifies some of the processes in the game interaction method on the basis of Embodiment 1. For example, according to the user ID in the game matching request, the user's geographic location and the request time, the user is matched with a game team, which specifically includes: :

Specifically, the game matching request includes the user ID, the user's geographic location, and the request time. Step S120 is to match the user with a game team based on the game matching request, including:

S121. Divide the user into multiple matching pools based on the geographic location of the user.

The geographic location is the actual location where the game client sends the game matching request, and the matching pool is the set of users who may be matched to the same game team. The game interaction method provided in this embodiment is to enhance the real interaction between users. Therefore, it is necessary to match users with higher real interaction possibilities to the same game as much as possible. The users who request to play the game are distinguished, and the adjacent users are divided into a matching pool, so that when the game is played, the users of the same team are actually close to each other.

More specifically, in some embodiments, as shown in FIG. 3 , step S121 includes steps S1211-1213:

S1211. Obtain a distance matrix according to the geographic location of the user.

S1212. Determine an initial center point set based on the distance matrix.

S1213. Determine multiple matching pools by using the K-means algorithm based on the initial center point set.

The traditional K-means algorithm is a partition-based clustering method. It uses the Euler distance measurement method and is suitable for clustering location information. However, it is sensitive to outliers and is sensitive to the selection of initial cluster centers Sensitive shortcomings, however, in the implementation of our game matching mechanism design, the occurrence of outliers is a common situation. Among the current improvements to the traditional K-means algorithm, the more representative ones are the improvements of Forgy and MacQueen. Forgy's improved method is to randomly assign each point to k clusters, and then calculate the cluster centers according to the resulting clusters, but this does not avoid the impact of outliers on the overall dataset. MacQueen's method randomly selects k initial cluster center points from the data set, based on the fact that points in high-density areas are more likely to be selected, but this also brings about the problem that points in high-density areas are more likely to be selected.

In the improvement of the K-means algorithm, for outliers, the distance matrix of the data set is calculated first, and the distance values within a certain range are selected based on the distance evidence to obtain the mean value, "using the mean value as the radius, the distance in the radius area is calculated. point as the density value, and at the same time calculate the mean distance from each sample point to other points, and divide the density value by the mean distance value as the evaluation index. After such processing, the density value of outliers will be very low, and The average distance between outliers and other points is relatively large, and the value after quotient is very small, which will help to shield outliers in the process of selecting the initial cluster center point, so as to eliminate the influence of outliers on subsequent algorithms. In the selection of the K value, we use the silhouette coefficient (SC) to determine the selection of K. For each point x _i , its silhouette coefficient _si and the average silhouette coefficient value of all points can be calculated by the following formula (1) and Formula (2) is used to calculate:

Among them, μ _out ^min ( _xi ) represents the drawn Euler distance from point _xi to points in the same cluster, and μ _in ( _xi ) yields all the distances from point _xi to its nearest cluster Average distance of points. The final calculation result will take the x-axis coordinate corresponding to the highest value of SC as the optimal K value.

S122, perform same-pool matching on users in the same matching pool based on the user identity and the request time to obtain at least one game team.

Same-pool matching means that users are matched within the same matching pool, rather than across matching pools. The game team is a collection of users who play the same game. In step S122, it is determined that the matching pool is only a process of dividing game teams based on the matching pool. In this embodiment, in order to improve the playability of the game, matching is performed in combination with the user's game strength to ensure that users with similar strengths enter the same game team. .

More specifically, in some embodiments, as shown in FIG. 4 , step S122 includes steps S1221-1224:

S1221. Determine the game strength of the user according to the user identification.

Exemplarily, the user ID can be the user's game account. According to the user's game account, the user's historical game records can be determined, thereby determining the user's game strength. Of course, this is only an example, and can be set according to the specific situation of different games. .

S1222: Match the users whose game strength difference is smaller than the first preset difference into a unified game team according to the game strength. In order to ensure that users with similar game strengths can play together, so as not to cause a poor game experience due to a large difference in strength, it is preset that when the strength difference between two users reaches or exceeds a certain value (ie, the first preset difference), they will not be matched to the same game team. middle.

S1223. Determine, according to the request time, whether there is a first remaining user whose matching duration exceeds the first preset time.

S1224: If yes, match the users whose game strength difference is less than the second preset difference to the same game team according to the game strength.

Steps S1223-1224 are to prevent users from being unable to match other users with similar strengths to start the game for a long time when there are few users. The requirements for strengths can be appropriately relaxed, that is, the second preset difference with a larger value is used to screen the players with similar strengths. The user, that is, the second preset difference value is greater than the first preset difference value.

Specifically, in this embodiment, the ELO algorithm is used to perform the same pool matching. The ELO algorithm is an evaluation method created by the Hungarian-American physicist Arpad Elo to measure the level of various game activities. It is a recognized authoritative method for evaluating game levels today. The ELO algorithm is based on the assumption that a player's current strength will fluctuate within a certain range due to various factors, and the function used to describe his strength at a certain time should conform to a normal distribution:

Among them, U represents the average level of the player's strength, and δ represents the stability of the strength. After calculation, the expected win rate of the two players in the battle can be obtained:

D is the score difference between the two competing players.

The above uses the least squares method, we can get another function similar to its function graph, which is also the more commonly used function in our actual operation:

Therefore, we can get that when the difference between the scores of player A and player B is D, the expected winning ratio of player A to player B is P(D). When judging a player's true score level, we continuously accelerate the correction of the score level through the results of the game between the player and a large number of different players, until it converges to a level close to its true level. The following is the addition and subtraction of points after a player has played a game:

Rn=Ro+K*(W-P(D)) (6)

Among them, Rn is the player's new score after the game, Ro is the player's ranking score before the game, K is a bonus coefficient, determined by the player's current score level (the higher the score, the smaller the K), W is The player's actual game result score (win=1, lose=0), and P(D) is the expected win rate.

When a player beats an opponent whose score is 700 points less than himself, his total number of points is basically the same, and when he beats an opponent whose score is 700 points more than himself, the degree of bonus points is greater than that of winning a score and The same is true for his opponents who are similar to him. Therefore, after continuous convergence, we will get a score value that is relatively close to the player. For a new player, we will give him an average score of the current player's score.

However, the existing ELO algorithm is still difficult to measure a player's score level before there are enough games. In order to make the scoring function converge faster, we also need to introduce a winning streak and a losing streak mechanism.

The further improved ELO algorithm introduces the winning streak and losing streak threshold N and the winning streak reward (penalty) M. The new scoring formula is as follows (when the winning streak or losing streak is greater than N):

Rn=Ro+K*(W-P(D))+T*M (7)

where T is the direction coefficient (1 for winning streak and -1 for losing streak)

For example: when a certain player's winning streak reaches a threshold such as N=5, every subsequent

Additional extra points such as M=100 will be obtained. Once the player loses, the winning streak will be reset to zero. The penalty for losing streak is the same. If the winning streak/loss streak does not reach the threshold N, the scoring formula is still the same as formula (6)

Optionally, in some embodiments, after step S1224, step S1225 (not shown) is further included:

S1225. Determine whether there is a second remaining user whose matching duration exceeds the second preset time according to the request time, and if so, add a virtual player according to the second remaining user.

There may actually be a situation where the number of users requesting the game at a certain moment is too small to start a game. At this time, virtual players can be provided for users to ensure that they can start the game, and considering the user's game experience, it is necessary to provide game strength. Virtual players close to the user.

In the matching process, according to the above theoretical basis, the ELO algorithm will give priority to match the opponent whose score is [X-λ ₁ , X+λ ₁ ] for player A with a score of X, so that the winning rate of player A is about 50%. . If there are no opponents who meet the priority matching conditions within a certain period of time, the system will relax the matching conditions, and the matching score segment will be within [X-λ ₂ , X+λ ₂ ]. Player A will win 40%-60% between, and so on. When Player A still has no suitable opponent when the winning rate is in the range of 30%-70%, the system will automatically add a virtual player to him.

On the basis of the first embodiment, the game interaction method provided in this embodiment further provides a specific process for matching game teams according to the game matching request, and divides users with similar distances into the same matching pool according to the user's geographic location. It improves the possibility of real interaction for users when generating real interaction data, further improves the combination of reality and virtuality, and comprehensively determines the game team through game strength and matching time, which can ensure the game experience and reduce the waiting time for matching.

Embodiment 3

FIG. 5 is a schematic structural diagram of a game interaction system according to Embodiment 3 of the present invention. As shown in FIG. 5 , the system includes: a matching request obtaining module 310 for obtaining a user's game matching request;

a matching module 320, configured to match a game team for the user based on the game matching request;

The interactive data acquisition module 330 is configured to acquire real interactive data of multiple users in the same game team, the real interactive data includes at least one of close contact data, real image data and positioning data;

The game advancement module 340 is configured to determine a corresponding game event based on the real interaction data, so as to promote the game progress based on the game event.

More specifically, in one embodiment, the game matching request includes user identification, user geographic location, and request time, and the matching module includes a matching pool dividing unit and a game team dividing unit:

a matching pool dividing unit, configured to divide the user into multiple matching pools based on the geographic location of the user;

A game team dividing unit, configured to perform same-pool matching for users in the same matching pool based on the user identification and the request time to obtain at least one game team.

More specifically, in one embodiment, the matching pool dividing unit is specifically used for:

obtaining a distance matrix according to the user's geographic location;

determining an initial set of center points based on the distance matrix;

A plurality of matching pools are determined by the K-means algorithm based on the initial center point set.

More specifically, in one embodiment, the game team dividing unit is specifically configured to: determine the game strength of the user according to the user identification;

According to the game strength, the users whose game strength difference is less than the first preset difference are matched into the unified game team;

Judging whether there is a first remaining user whose matching duration exceeds the first preset time according to the request time;

If so, match the users whose game strength difference is smaller than the second preset difference to the same game team according to the game strength. More specifically, in one embodiment, the game team dividing unit is further configured to: according to the game strength, after matching users whose game strength difference is less than the second preset difference to the same game team, according to the request time It is judged whether there is a second remaining user whose matching duration exceeds the second preset time, and if so, a virtual player is added according to the second remaining user. More specifically, in one embodiment, the game matching request includes a device address, and the matching module is further configured to: send the device addresses of all users in the same game team to all users in the same game team, so as to The users in the same game team are connected to the same team according to the device addresses of all users in the same game team.

More specifically, in one embodiment, the game advancement module is specifically used to:

If the real interaction data includes contact data, determine the user contact situation according to the contact data, and determine the corresponding game event according to the user contact situation;

This embodiment provides a game interaction system, which first obtains a user's game matching request, then matches the user with a game team according to the user's game matching request, and then obtains the real interaction data of multiple users in the same game team, and finally based on the real interaction The data determines the corresponding game event, so as to promote the game process based on the game event. In this embodiment, the real interaction data is used as the determination data of the game event, and the virtual reaction corresponding to the reality can be obtained in the game, and the virtual interaction of the game and the reality can be obtained. , which enhances the real interaction of the game, can guide users to perform real activities, thereby reducing the addiction to the virtual world, and at the same time enhancing the playability of the game.

Embodiment 4

FIG. 6 is a schematic structural diagram of a server 400 according to Embodiment 4 of the present invention. As shown in FIG. 6 , the server includes a memory 410 and a processor 420. The number of processors 420 in the server may be one or more. A processor 420 is taken as an example in FIG. 6 ; the memory 410 and the processor 420 in the server may be connected by a bus or in other ways, and the connection by a bus is taken as an example in FIG. 6 .

As a computer-readable storage medium, the memory 410 can be used to store software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the game interaction method in this embodiment of the present invention (for example, a matching request in a game interaction system). acquisition module 310, matching module 320, interactive data acquisition module 330 and game advancement module 340). The processor 420 executes various functional applications and data processing of the server by running the software programs, instructions and modules stored in the memory 410, ie, implements the above-mentioned game interaction method.

The processor 420 is configured to run the computer-executable program stored in the memory 410 to implement the following steps: step S110, acquiring a user's game matching request; step S120, matching a game team for the user based on the game matching request ; Step S130, obtain the real interaction data of multiple users in the same game team, the real interaction data includes at least one of close contact data, real image data and positioning data; Step S140, based on the real interaction data Determine the corresponding Game events to advance game progress based on the game events.

Of course, the server provided by the embodiment of the present invention is not limited to the above method operations, and can also perform related operations in the game interaction method provided by any embodiment of the present invention.

The memory 410 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Additionally, memory 410 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, memory 410 may further include memory located remotely from processor 420, which may be connected to a server through a network. Examples of such networks include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

This embodiment provides a server that first obtains a user's game matching request, then matches the user with a game team according to the user's game matching request, then obtains the real interaction data of multiple users in the same game team, and finally determines based on the real interaction data The corresponding game event is used to promote the game process based on the game event. In this embodiment, the real interaction data is used as the determination data of the game event, and the virtual response corresponding to the reality can be obtained in the game, and the virtual interaction of the game and the reality can be enhanced. It improves the realistic interactivity of the game, and can guide the user to perform real activities, thereby reducing the addiction to the virtual world, and at the same time enhancing the playability of the game.

Embodiment 5

Embodiment 5 of the present invention further provides a storage medium containing computer-executable instructions, where the computer-executable instructions are used to execute a game interaction method when executed by a computer processor, and the game interaction method includes:

Get the user's game matching request;

Matching a game team for the user based on the game matching request;

Of course, a storage medium containing computer-executable instructions provided by an embodiment of the present invention is not limited to the above-mentioned method operations, and the computer-executable instructions can also execute any of the game interaction methods provided by any embodiment of the present invention. related operations.

From the above description of the embodiments, those skilled in the art can clearly understand that the present invention can be implemented by software and necessary general-purpose hardware, and of course can also be implemented by hardware, but in many cases the former is a better implementation Way. Based on such understanding, the technical solutions of the present invention can be embodied in the form of software products in essence or the parts that make contributions to the prior art, and the computer software products can be stored in a computer-readable storage medium, such as a floppy disk of a computer , read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), flash memory (FLASH), hard disk or optical disk, etc., including several instructions to make a computer server (which can be a personal computer , server, or network server, etc.) to execute the methods described in the various embodiments of the present invention.

It is worth noting that in the above embodiments of the game interaction system, the units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; The specific names of the functional units are only for the convenience of distinguishing from each other, and are not used to limit the protection scope of the present invention.

Note that the above are only preferred embodiments of the present invention and applied technical principles. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the present invention. Therefore, although the present invention has been described in detail through the above embodiments, the present invention is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present invention. The scope is determined by the scope of the appended claims.

Claims

A game interaction method, comprising:

Get the user's game matching request;

Matching a game team for the user based on the game matching request;

Acquiring real interaction data of multiple users in the same game team, where the real interaction data includes at least one of close contact data, real image data and positioning data;

A corresponding game event is determined based on the real interaction data, so as to promote the game progress based on the game event.
The game interaction method according to claim 1, wherein the game matching request includes a user ID, a user geographic location, and a request time, and the matching a game team for the user based on the game matching request includes:

dividing the user into a plurality of matching pools based on the user's geographic location;

The users in the same matching pool are matched with the same pool based on the user identification and the request time to obtain at least one game team.
The game interaction method according to claim 2, wherein the dividing the user into multiple matching pools based on the user's geographic location comprises:

obtaining a distance matrix according to the user's geographic location;

determining an initial set of center points based on the distance matrix;

A plurality of matching pools are determined by the K-means algorithm based on the initial center point set.
The game interaction method according to claim 2, wherein the performing the same-pool matching on the users in the same matching pool based on the user ID and the request time comprises:

Determine the game strength of the user according to the user identification;

According to the game strength, the users whose game strength difference is less than the first preset difference are matched into the unified game team;

Judging whether there is a first remaining user whose matching duration exceeds the first preset time according to the request time;

If so, match the users whose game strength difference is smaller than the second preset difference to the same game team according to the game strength.
The game interaction method according to claim 4, wherein after matching the users whose game strength difference is less than the second preset difference to the same game team according to the game strength, the method further comprises:

It is determined according to the request time whether there is a second remaining user whose matching duration exceeds the second preset time, and if so, a virtual player is added according to the second remaining user.
The game interaction method according to claim 1, wherein the game matching request includes a device address, and after matching a game team for a user based on the game matching request, the method further comprises:

Sending the device addresses of all users in the same game team to all users in the same game team, so that the users in the same game team perform the same team close connection according to the device addresses of all users in the same game team .
The game interaction method according to claim 1, wherein the determining a corresponding game event based on the actual interaction data comprises:

If the real interaction data includes contact data, determine the user contact situation according to the contact data, and determine the corresponding game event according to the user contact situation;

If the real interaction data includes real image data, perform identification according to the real image data to determine whether the game rules are met according to the identification result, and if so, determine the corresponding game event according to the identification result;

If the real interaction data includes positioning data, the user's position information is determined according to the positioning data, and the corresponding game event is determined according to the position information.
A game interaction system, characterized in that it includes:

The matching request obtaining module is used to obtain the user's game matching request;

a matching module for matching a game team for a user based on the game matching request;

an interactive data acquisition module, configured to acquire real interactive data of multiple users in the same game team, where the real interactive data includes at least one of close contact data, real image data and positioning data;

A game promotion module, configured to determine a corresponding game event based on the real interaction data, so as to promote a game process based on the game event.
A server, characterized in that it includes:

one or more processors;

a storage system for storing one or more programs;

When the one or more programs are executed by the one or more processors, the one or more processors can implement the game interaction method according to any one of claims 1-8.
A computer-readable storage medium on which a computer program is stored, characterized in that, when the program is executed by a processor, the game interaction method according to any one of claims 1-8 is implemented.