WO2022217846A1 - 游戏互动方法、系统、服务器及存储介质 - Google Patents

游戏互动方法、系统、服务器及存储介质 Download PDF

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Publication number
WO2022217846A1
WO2022217846A1 PCT/CN2021/120554 CN2021120554W WO2022217846A1 WO 2022217846 A1 WO2022217846 A1 WO 2022217846A1 CN 2021120554 W CN2021120554 W CN 2021120554W WO 2022217846 A1 WO2022217846 A1 WO 2022217846A1
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Prior art keywords
game
user
matching
data
team
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English (en)
French (fr)
Inventor
宋轩
陈纪元
张浩然
江宇辰
黄文杰
谢洪彬
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Southern University of Science and Technology
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Southern University of Science and Technology
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    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F13/00—Video games, i.e. games using an electronically generated display having two or more dimensions
    • A63F13/70—Game security or game management aspects
    • A63F13/79—Game security or game management aspects involving player-related data, e.g. identities, accounts, preferences or play histories
    • A63F13/795—Game security or game management aspects involving player-related data, e.g. identities, accounts, preferences or play histories for finding other players; for building a team; for providing a buddy list
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63F—CARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F2300/00—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game
    • A63F2300/50—Features of games using an electronically generated display having two or more dimensions, e.g. on a television screen, showing representations related to the game characterized by details of game servers
    • A63F2300/55—Details of game data or player data management
    • A63F2300/5546—Details of game data or player data management using player registration data, e.g. identification, account, preferences, game history
    • A63F2300/5566—Details of game data or player data management using player registration data, e.g. identification, account, preferences, game history by matching opponents or finding partners to build a team, e.g. by skill level, geographical area, background, play style

Definitions

  • the present invention relates to the field of computer technology, and in particular, to a game interaction method, system, server and storage medium.
  • 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.
  • the present invention provides a game interaction method, the method comprising:
  • real interaction data of multiple users in the same game team 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 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.
  • the present invention provides a server, including:
  • processors one or more processors
  • a storage system for storing one or more programs
  • the one or more processors can implement the game interaction method provided by any embodiment of the present invention.
  • 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.
  • 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.
  • 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.
  • Embodiment 3 is a sub-flow diagram of a game interaction method provided in Embodiment 2 of the present invention.
  • FIG. 4 is a sub-flow diagram of a game interaction method provided in Embodiment 2 of the present invention.
  • FIG. 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.
  • 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.
  • 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.
  • a feature defined as “first” or “second” may expressly or implicitly include one or more of that feature.
  • plural 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.
  • 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:
  • 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.
  • 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.
  • the server can obtain the data sent by the game client in a wired or wireless manner.
  • the user 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.
  • 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.
  • matching rules such as matching rules based on adjacent request times and similar user strength, which are not listed here.
  • 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.
  • Real interaction data includes relevant data obtained based on the user's real behavior and that can affect the game.
  • 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.
  • 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.
  • the server 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.
  • 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.
  • the real interaction data includes at least one of close contact data, real image data, and positioning data.
  • 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;
  • 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;
  • the user's position information is determined according to the positioning data, and the corresponding game event is determined according to the position information.
  • 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:
  • 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.
  • the close connection system is used in the background of the application to continuously scan for external Bluetooth devices.
  • the two smartphones 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.
  • 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.
  • 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.
  • the Android mobile phone system has its own GPS positioning service and is integrated in the android.location package.
  • the Android built-in API 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.
  • 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):
  • 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.
  • 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.
  • the real interaction data 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.
  • 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: :
  • Step S120 is to match the user with a game team based on the game matching request, including:
  • the geographic location is the actual location where the game client sends the game matching request
  • 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.
  • step S121 includes steps S1211-1213:
  • 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.
  • 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.
  • 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.
  • the silhouette coefficient (SC) 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:
  • ⁇ out min ( xi ) represents the drawn Euler distance from point xi to points in the same cluster
  • ⁇ 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.
  • matching is performed in combination with the user's game strength to ensure that users with similar strengths enter the same game team. .
  • step S122 includes steps S1221-1224:
  • the user ID can be the user's game account.
  • the user's historical game records can be determined, thereby determining the user's game strength.
  • 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.
  • S1223. Determine, according to the request time, whether there is a first remaining user whose matching duration exceeds the first preset time.
  • 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.
  • 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:
  • D is the score difference between the two competing players.
  • 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)
  • P(D) is the expected win rate.
  • 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):
  • T is the direction coefficient (1 for winning streak and -1 for losing streak)
  • 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.
  • the ELO algorithm will give priority to match the opponent whose score is [X- ⁇ 1 , X+ ⁇ 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- ⁇ 2 , X+ ⁇ 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.
  • 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.
  • 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.
  • the game matching request includes user identification, user geographic location, and request time
  • 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.
  • the matching pool dividing unit is specifically used for:
  • a plurality of matching pools are determined by the K-means algorithm based on the initial center point set.
  • the game team dividing unit is specifically configured to: determine the game strength of the user according to the user identification;
  • the users whose game strength difference is less than the first preset difference are matched into the unified game team;
  • 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.
  • the game matching request includes a device address
  • 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.
  • the game advancement module is specifically used to:
  • 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;
  • 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;
  • the user's position information is determined according to the positioning data, and the corresponding game event is determined according to the position information.
  • 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.
  • 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.
  • the real interaction data 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.
  • FIG. 6 is a schematic structural diagram of a server 400 according to Embodiment 4 of the present invention.
  • 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 .
  • 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).
  • 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.
  • 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.
  • 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 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:
  • real interaction data of multiple users in the same game team 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.
  • 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.
  • 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.
  • 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.
  • a computer server which can be a personal computer , server, or network server, etc.
  • 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.

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Abstract

一种游戏互动方法、系统、服务器及存储介质。该方法包括：获取用户的游戏匹配请求（S110）；基于所述游戏匹配请求为用户匹配游戏队伍（S120）；获取同一游戏队伍内多个用户的现实互动数据，所述现实互动数据包括密接数据、现实图像数据和定位数据中的至少一种（S130）；基于所述现实互动数据确定对应的游戏事件，以基于所述游戏事件推动游戏进程（S140）。该方法采用现实互动数据作为游戏事件的确定数据，能够在游戏中获取与现实对应的虚拟反应，将游戏的虚拟与现实交互，增强了游戏的现实互动性，能够引导用户进行现实活动从而降低对虚拟世界的沉迷，同时增强了游戏的可玩性。

Description

游戏互动方法、系统、服务器及存储介质 技术领域
本发明涉及计算机技术领域，尤其涉及一种游戏互动方法、系统、服务器及存储介质。
背景技术
随着生活质量水平的不断提高,人们对于娱乐方式的追求有了更高的标准,更多精神层面的追求需要被满足。在此期间，丰富多彩，各具特色的手机游戏成为了绝大多数人消遣娱乐的方式。然而研究指出，手机游戏虽然主要功能是娱乐生活，但在很大部分情况下，它也充当了用户之间娱乐沟通的社交媒介,并且不少的玩家甚至将游戏社交视为刚性需求。但是就目前状况来看，绝大多数关于手机游戏互动性的研究都是基于互联网层面，这在一定程度上其实限制了玩家之间社交的联动性。同时，沉迷网游缺乏运动对玩家的身体也造极大的伤害。因此，如何更多的关注游戏线上线下相结合方式，将虚拟与现实结合起来，鼓励玩家更多的将游戏代入现实将成为下一代网络游戏的主要研究方向。
技术问题
有鉴于此，本发明提供了一种游戏互动方法、系统、服务器及存储介质，以将游戏的虚拟与现实交互，增强了游戏的现实互动性。
技术解决方案
第一方面，本发明提供了一种游戏互动方法，该方法包括：
获取用户的游戏匹配请求；
基于所述游戏匹配请求为用户匹配游戏队伍；
获取同一游戏队伍内多个用户的现实互动数据，所述现实互动数据包括密接数据、现实图像数据和定位数据中的至少一种；
基于所述现实互动数据确定对应的游戏事件，以基于所述游戏事件推动游戏进程。
第二方面，本发明提供了一种游戏互动系统，包括：
匹配请求获取模块，用于获取用户的游戏匹配请求；
匹配模块，用于基于所述游戏匹配请求为用户匹配游戏队伍；
互动数据获取模块，用于获取同一游戏队伍内多个用户的现实互动数据，所述现实互动数据包括密接数据、现实图像数据和定位数据中的至少一种；
游戏推进模块，用于基于所述现实互动数据确定对应的游戏事件，以基于所述游戏事件推动游戏进程。
第三方面，本发明提供了一种服务器，包括：
一个或多个处理器；
存储系统，用于存储一个或多个程序；
当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器能够实现如本发明任一实施例所提供的游戏互动方法。
第四方面，本发明提供了一种计算机可读存储介质，所述存储介质存储有计算机程序，所述计算机程序包括程序指令，所述程序指令当被执行时实现本发明任一实施例所提供的游戏互动方法。
有益效果
本发明提供的游戏互动方法，先获取用户的游戏匹配请求，再根据用户的游戏匹配请求为用户匹配游戏队伍，进而获取同一游戏队伍内多个用户的现实互动数据，最终基于现实互动数据确定对应的游戏事件，以基于所述游戏事件推动游戏进程，本实施例采用现实互动数据作为游戏事件的确定数据，能够在游戏中获取与现实对应的虚拟反应，将游戏的虚拟与现实交互，增强了游戏的现实互动性，能够引导用户进行现实活动从而降低对虚拟世界的沉迷，同时增强了游戏的可玩性。
附图说明
为了更清楚地说明本申请实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单的介绍，显而易见的，下面描述中的附图仅仅是本申请的部分实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据提供的附图获得其他的附图。
图1是本发明实施例一提供的一种游戏互动方法的流程图；
图2是本发明实施例二提供的一种游戏互动方法的子流程图；
图3是本发明实施例二提供的一种游戏互动方法的子流程图；
图4是本发明实施例二提供的一种游戏互动方法的子流程图；
图5是本发明实施例三提供的一种游戏互动系统的结构示意图；
图6是本发明实施例四提供的一种服务器的结构示意图。
本发明的实施方式
下面结合本申请实施例中的附图，对本申请实施中的技术方案进行清楚、完整的描述。可以理解的是，此处所描述的具体实施例仅仅是本申请一部分实施例，而不是全部的实施例，仅用于解释本申请，而非对本申请的限定。另外还需要说明的是，基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
除非另有定义，本文所使用的所有的技术和科学术语与属于本发明的技术领域的技术人员通常理解的含义相同。本文中在本发明的说明书中使用的术语只是为了描述具体的实施方式的目的，不是旨在于限制本发明。本文所使用的术语“和/或”包括一个或多个相关的所列项目的任意的和所有的组合。
此外，术语“第一”、“第二”等可在本文中用于描述各种方向、动作、步骤或元件等，但这些方向、动作、步骤或元件不受这些术语限制。这些术语仅用于将第一个方向、动作、步骤或元件与另一个方向、动作、步骤或元件区分。举例来说，在不脱离本发明的范围的情况下，可以将第一区域称为第二区域，且类似地，可将第二区域称为第一区域。第一区域和第二区域两者都是区域，但其不是同一区域。术语“第一”、“第二”等而不能理解为指示或暗示相对重要性或者隐含指明所指示的技术特征的数量。由此，限定有“第一”、“第二”的特征可以明示或者隐含地包括一个或者更多个该特征。在本发明的描述中，“多个”的含义是至少两个，例如两个，三个等，除非另有明确具体的限定。需要说明的是，当一个部被称为“固定于”另一个部，它可以直接在另一个部上也可以存在居中的部。当一个部被认为是“连接”到另一个部，它可以是直接连接到另一个部或者可能同时存在居中部。本文所使用的术语“垂直的”、“水平的”、“左”、“右”以及类似的表述，只是为了说明的目的，并不表示是唯一的实施方式。
在更加详细地讨论示例性实施例之前应当提到的是，一些示例性实施例被描述成作为流程图描绘的处理或方法。虽然流程图将各步骤描述成顺序的处理，但是其中的许多步骤可以被并行地、并发地或者同时实施。此外，各步骤的顺序可以被重新安排。当其操作完成时处理可 以被终止，但是还可以具有未包括在附图中的附加步骤。处理可以对应于方法、函数、规程、子例程、子程序等等。
实施例一
本实施例提供了一种游戏互动方法，由软件和/或硬件的方式来实现，应用于各种网络游戏，可以基于终端或服务器实现，也可以通过终端和服务器的交互实现，本实施例以游戏的服务器为例进行说明。参见图1，该方法包括以下步骤：
S110、获取用户的游戏匹配请求。
匹配请求由用户基于游戏客户端发出，用于通知服务器用户需要开始进行游戏，以使服务器将用户加入游戏对局。具体的，游戏匹配请求中包括多种数据，例如用户身份标识(用户ID)、用户地理位置、请求时间等，此处不一一举例。
具体的，游戏客户端与服务器之间通信连接，服务器可以通过有线或无线的方式获取游戏客户端发送的数据，当用户需要进行游戏时，用户基于游戏客户端执行相应的操作以使游戏客户端确定用户的游戏需求，游戏客户端根据用户的操作生成游戏匹配请求，以使服务器接收到来自游戏客户端的游戏配请求。
S120、基于所述游戏匹配请求为用户匹配游戏队伍。
游戏队伍由多个用户组成，用于表示进行同一场游戏的全部玩家(也即用户)。本实施例中的游戏需要多人参与，因此会将发送了游戏匹配请求的用户进行匹配，按照一定的规则选择多个用户组成游戏队伍。具体的，匹配规则有多种，如以请求时间相邻、用户实力相近为标准的匹配规则，此处不一一举例。
具体的，本实施例中，服务器中设置有用于对用户进行匹配的匹配算法，能够根据游戏匹配请求分析用户的具体情况，并根据用户的具体情况按照一定的规则进行匹配，匹配到的用户即属于同一游戏队伍，需要说明的是此处所指的同一游戏队伍并非指友方关系，而是指用户处于同一场游戏对局(即用户间存在互动性的游戏事件)，用户之间的关系可以是友方或敌方。
S130、获取所述同一游戏队伍的多个用户的现实互动数据，所述现实互动数据包括密接数据、现实图像数据和定位数据中的至少一种。
现实互动数据包括基于用户现实行为获取的且能够对游戏产生影响的相关数据。具体的，现实互动数据包括用户通过游戏客户端上传的现实图像数据、密接数据和定位数据中的至少一种，其中：密接数据包括游戏客户端之间的蓝牙连接数据；现实图像数据包括用户通过游戏客户端拍摄的图像或视频；定位数据包括游戏客户端的GPS(Global Positioning System，全球定位系统)数据。
具体的，服务器在为用户匹配了游戏队伍之后，会获取同一队伍中所有用户的游戏用户端发送的游戏相关数据，也即现实互动数据，用于进行游戏。
S140、基于所述现实互动数据确定对应的游戏事件，以基于所述游戏事件推动游戏进程。游戏事件表示用于推进游戏进程的游戏内容，例如获取道具、完成交流等，不同的游戏事件对游戏进程有不同的影响。
具体的，服务器中设置有对现实互动数据进行游戏关联分析的互动算法，以根据分析显示互动数据对应的游戏事件，以根据不同的游戏事件推送游戏进程，从而实现在用户间进行游戏。具体的，前文已经提到现实互动数据包括密接数据、现实图像数据和定位数据中的至少一种，在一些实施例中，上述三种现实互动数据通过不同的方式确定对应的游戏事件，具体包括：若所述现实互动数据包括密接数据，根据所述密接数据判断用户接触情况，根据所述用户接触情况确定对应的游戏事件；
若所述现实互动数据包括现实图像数据，根据所述现实图像数据进行识别，以根据识别结果判断是否符合游戏规则，若符合则根据识别结果确定对应的游戏事件；
若现实互动数据包括定位数据，根据所述定位数据确定用户的位置信息，根据所述位置信息确定对应的游戏事件。
为了便于理解，以游戏客户端为终端设备如智能手机作为具体示例，说明上述三种现实互动数据的使用过程：
在一些实施例中，智能手机的Android操作系统中提供了蓝牙功能的接口，集成在android.bluetooth包内部，可以供开发者开发使用到蓝牙技术的应用。在游戏进行的过程中，在应用后台使用密接系统持续进行着外部蓝牙设备的扫描。
在建立连接之后，两台智能手机之间将会相互交换设备MAC码，用户ID，时间地址信息并转发到服务器端上，服务器根据交换的数据进行逻辑判断并将玩家之间的密接结果以游戏事件的形式返回到客户端。
在一些实施例中，游戏客户端以计算机视觉(CV)技术获取显示图像数据，计算机视觉技术示例性的为Python+ImageAI，ImageAI是一个开源的计算机智能视觉库，目前支持使用在ImageNet-1000数据集上训练的4种不同机器学习算法进行图像预测和训练。ImageAI还支持使用在COCO数据集上训练的RetinaNet，YOLOv3和TinyYOLOv3进行对象检测，视频检测和对象跟踪。同时，目前手机芯片也在逐步为第三方人工智能应用程序提供潜在加速，如麒麟970，这给AI算法在手机上运行提供了可能。下面以两个具体示例说明基于现实图像数据确定游戏事件的过程：玩家使用手机摄像头拍下图片，转由智能算法对图片进行物体检测并返回识别结果；玩家打开手机摄像头对准物体，由于ImageAI目前支持摄像机输入的情况下进行实时视频检测，使用OpenCV的VideoCapture()函数，应用可以从设备摄像机、通过电缆或IP摄像机连接的摄像机加载实时视频流，并将其解析为ImageAI的DetectObjectsFromVideo()和DetectCustomObjectsFromVideo()函数进行物体识别，返回识别结果。服务器根据识别结果进行判定，如果识别结果符合游戏规定，则可以得到对应的游戏事件。
在一些实施例中，Android手机系统自带GPS定位服务并集合在android.location包内部，通过使用Android内置API获取玩家GPS对应的地理位置信息，每间隔1秒钟进行一次定位并以XML文件格式保存在手机自身数据库中，对手机进行实时定位后将数据发送到服务器进行更多进一步的处理。游戏系统(即服务器)本身也会根据此刻玩家的位置信息进行一定的游戏事件响应。
根据上述密接数据示例可知，密接数据是需要用户的游戏客户端进行连接产生，而非同一游戏队伍内的用户之间的连接会产生干扰，也会给数据处理带来压力，因此，可选的，在一些实施例中，步骤S120之后，还包括步骤S150(图未示)：
S150、将所述同一游戏队伍内所有用户的设备地址发送给所述同一游戏队伍内的所有用户，以使所述同一游戏队伍内的用户根据所述同一游戏队伍内所有用户的设备地址进行同队密接。
示例性的，在Android系统内置的BluetoothDevice类(用于请求蓝牙连接)中包含了当前设备的MAC地址，而我们的玩家在匹配时就已经将自己设备的MAC地址发送到服务器中，因此我们可以做到本机只与在服务器上同一个小队中有记录的MAC地址所属的本机进行连接并且传输数据，这在一定程度上大大减少了连接干扰。更具体的，在一些实施例中，为了防止短时间内连续密接事件的发生，在密接系统的设计中，发生第一次密接之后将会将本机蓝牙扫描的线程进行5秒钟的沉睡之后再唤醒，沉睡过程中本机蓝牙设备不与外界蓝牙设备发生交互连接。
本实施例提供了一种游戏互动方法，先获取用户的游戏匹配请求，再根据用户的游戏匹配请求为用户匹配游戏队伍，进而获取同一游戏队伍内多个用户的现实互动数据，最终基于现实互动数据确定对应的游戏事件，以基于所述游戏事件推动游戏进程，本实施例采用现实互动 数据作为游戏事件的确定数据，能够在游戏中获取与现实对应的虚拟反应，将游戏的虚拟与现实交互，增强了游戏的现实互动性，能够引导用户进行现实活动从而降低对虚拟世界的沉迷，同时增强了游戏的可玩性。
实施例二
本实施例在实施例一的基础上对游戏互动方法中部分流程进行了进一步的解释和举例，例如根据游戏匹配请求中的用户身份标识、用户地理位置和请求时间为用户匹配游戏队伍，具体包括：
具体的，所述游戏匹配请求包括用户身份标识、用户地理位置、请求时间，步骤S120也即基于所述游戏匹配请求为用户匹配游戏队伍，包括：
S121、基于所述用户地理位置将用户划分至多个匹配池。
地理位置即游戏客户端发出游戏匹配请求时所处的现实位置，匹配池为可能会被匹配到同一游戏队伍的用户集合。本实施例提供的游戏互动方法是为了增强用户间的现实互动性，因此需要尽可能的将现实中互动可能性更高的用户匹配到同一场游戏中，因此本实施例以地理位置为依据对请求进行游戏的用户进行区分，将相邻的用户划分到一个匹配池中，这样在进行游戏时，同一队伍的用户现实是距离接近的。
更具体的，在一些实施例中，如图3所示，步骤S121包括步骤S1211-1213：
S1211、根据所述用户地理位置得到距离矩阵。
S1212、基于所述距离矩阵确定初始中心点集。
S1213、基于所述初始中心点集通过K-means算法确定多个匹配池。
传统的K-means算法是一种基于划分的聚类方法，采用欧拉距离的度量方式，适合用于对地点信息的聚类，但是它却有着对离群点敏感，对初始聚类中心选择敏感的缺点，然而在我们的游戏匹配机制设计的实现中，出现离群点是属于常见的情况。目前对传统K-means算法的改进中，比较有代表性的是Forgy，MacQueen的改进。Forgy的改进方法是将每个点随机分配给k个聚簇，再根据由此产生的聚簇计算聚类中心，但是这并不能避免离群点对总体数据集的影响。而MacQueen的方法则是从数据集中随机选取k个初始聚类中心点,依据是高密度区域的点更有可能被选中，但这样也会带来高密度区域点更容易被选中的问题。
在对K-means算法的改进中，对于离群点,先计算数据集的距离矩阵,以该距离举证为依据选取一定范围内的距离值求均值,“以该均值作为半径,在半径区域的点作为密度值,同时计算每个样本点到其他点的距离均值,将密度值除以距离均值得到的值作为评价指标,经过这样的处理,由于离群点的密度值将会非常低,而且离群点到其他点的距离均值比较大,作商后的值非常小,这将有利于在选取初始聚类中心点过程中屏蔽离群点,从而能够消除离群点对后续算法的影响”在K值的选定中，我们使用轮廓系数(SC)来确定K的选取，对于每一个点x i，它的轮廓系数s i和所有点的平均轮廓系数值可以由以下算式(1)和算式(2)进行计算：
Figure PCTCN2021120554-appb-000001
Figure PCTCN2021120554-appb-000002
其中，μ out min(x i)代表的是点x i到与它同一个簇的点的平局欧拉距离，μ in(x i)得出的是点x i到离它最近的簇的所有点的平均距离。最终计算结果将取SC最高值所对应的x轴坐标为最优的K值。
S122、基于所述用户身份标识和请求时间对同一匹配池内的用户进行同池匹配，以得到至少 一个游戏队伍。
同池匹配表示在同一个匹配池内进行用户匹配，而非跨匹配池匹配，游戏队伍为进行同一场游戏的用户集合。步骤S122为确定了匹配池只有基于匹配池进行游戏队伍划分的过程，本实施例中为了提高游戏的可玩性，会结合用户的游戏实力进行匹配，以保证实力相近的用户进入同一个游戏队伍。
更具体的，在一些实施例中，如图4所示，步骤S122包括步骤S1221-1224：
S1221、根据所述用户身份标识确定用户的游戏实力。
示例性的，用户身份标识可以是用户的游戏账号，根据用户的游戏账号可以确定用户的历史游戏记录，从而确定用户的游戏实力，当然此处仅为示例，根据不同的游戏具体情况可以自行设置。
S1222、根据所述游戏实力将游戏实力差距小于第一预设差值的用户的匹配进统一游戏队伍。为了保证游戏实力相近的用户一起游戏，以免实力相差过大导致游戏体验差，预先设置两个用户实力差距达到或超过一定值(即第一预设差值)时不会匹配到同一个游戏队伍中。
S1223、根据所述请求时间判断是否存在匹配时长超过第一预设时间的第一剩余用户。
S1224、若是，则根据所述游戏实力将游戏实力差距小于第二预设差值的用户匹配至同一游戏队伍。
步骤S1223-1224是为了避免用户较少时，用户长期无法匹配到实力相近的其他用户以开始游戏，可以适当放宽对实力的要求，即以数值更大的第二预设差值筛选实力相近的用户，也即第二预设差值大于第一预设差值。
具体的，本实施例中以ELO算法进行同池匹配。ELO算法是匈牙利裔美国物理学家阿帕德·埃洛创建的一个衡量各类对弈活动水平的评价方法，是当今对弈水平评估的公认的权威方法。ELO算法基于这样一种假设：一名选手的当前实力受各种因素的影响会在一定范围内波动，某个时刻的用来描述其实力的函数应当符合正态分布：
Figure PCTCN2021120554-appb-000003
其中U代表选手的实力平均水平，δ代表实力的稳定性。经过计算，可以得出两名选手进行对战时的预期胜率：
Figure PCTCN2021120554-appb-000004
D为两个对战玩家的分差。
上述利用了最小二乘法，我们可以得到与它的函数图向相近的另外的一个函数，这也是我们实际运时更常用的函数：
Figure PCTCN2021120554-appb-000005
因此我们可以得到，当玩家A和玩家B分数相差为D时，玩家A对玩家B的期望胜率为P(D)。当去判断一个玩家的真实分数水平的时候，我们通过玩家与大量不同玩家的比赛结果对其分数水平进行不断的加速修正，直到其收敛到近似其真实水平的程度。下面是玩家在进行了一次对局之后分数的加减情况：
Rn＝Ro+K*(W-P(D))     (6)
其中，Rn是玩家比赛结束后的新的分数值，Ro是比赛前玩家的排位分，K是一个加成系数，由玩家当前分值水平决定(分值越高K越小)，W是玩家实际对局结果得分(赢＝1，输＝0)，P(D)是预期胜率。
当玩家胜于一个分数比自己少700分的对手时，它的分数总数基本不变，而当他胜于一个分数比自己多700分的对手时，其加分的程度大于胜于一个分数和他差不多的对手，失败的情况同理。因此经过不断的收敛，我们将会得到一个比较接近该玩家的分数值。对于新玩家，我们将会给予他目前玩家的分数的均分。
然而，现有ELO算法在没有足够比赛场数之前还是难以真正衡量一个玩家的分数水平，为了让计分函数能够以更快的速度收敛，我们还需要引入连胜与连败机制。
进一步改进后的ELO算法引入了连胜连败阈值N和连胜连败奖励(惩罚)M，新的计分公式如下所示(连胜或连败场数大于N的情况下)：
Rn＝Ro+K*(W-P(D))+T*M     (7)
其中T是方向系数(连胜为1，连败为-1)
例如：当某位选手连胜场数达到阈值例如N＝5的时候，该选手之后每一都
会获得额外的附加分例如M＝100，一旦该选手失败，则连胜场数清零。连败惩罚同理。若连胜/连败并未达到阈值N，则计分公式仍同算式(6)
可选的，在一些实施例中，步骤S1224之后，还包括步骤S1225(图未示)：
S1225、根据所述请求时间判断是否存在匹配时长超过第二预设时间的第二剩余用户，若是，则根据所述第二剩余用户添加虚拟玩家。
实际可能存在某一时刻请求进行游戏的用户数量过少已经无法开始一局游戏的情况，此时可以为用户提供虚拟玩家，以确保能够开始游戏，并且考虑到用户的游戏体验，需要提供游戏实力与用户相近的虚拟玩家。
在匹配中，ELO算法根据上面的理论依据，对于分数为X的玩家A，将会优先匹配分数段在[X-λ 1,X+λ 1]的对手，使玩家A的胜率在50％左右。如果一定时间内没有符合优先匹配条件的对手的话,系统则会放宽匹配条件，匹配分数段在[X-λ 2,X+λ 2]内得选手，使玩家A得胜率在40％-60％之间，以此类推。当玩家A得胜率区间在30％-70％时仍然没有合适对手的情况下，系统将自动为其添加虚拟玩家。
本实施例提供的游戏互动方法在实施例一的基础上，进一步给出了根据游戏匹配请求为用于匹配游戏队伍的具体过程，通过用户地理位置将距离相近的用户划分到同一个匹配池，提高了用户在生成现实互动数据时产生现实交互的可能性，进一步提高了现实与虚拟的结合，通过游戏实力和匹配时间综合进行游戏队伍的确定，能够保证游戏体验同时减少匹配等待时间。
实施例三
图5为本发明实施例三提供的一种游戏互动系统的结构示意图，如图5所述，该系统包括：匹配请求获取模块310，用于获取用户的游戏匹配请求；
匹配模块320，用于基于所述游戏匹配请求为用户匹配游戏队伍；
互动数据获取模块330，用于获取同一游戏队伍内多个用户的现实互动数据，所述现实互动数据包括密接数据、现实图像数据和定位数据中的至少一种；
游戏推进模块340，用于基于所述现实互动数据确定对应的游戏事件，以基于所述游戏事件推动游戏进程。
更具体的，在一个实施例中，所述游戏匹配请求包括用户身份标识、用户地理位置、请求时间，所述匹配模块包括匹配池划分单元和游戏队伍划分单元：
匹配池划分单元，用于基于所述用户地理位置将用户划分至多个匹配池；
游戏队伍划分单元，用于基于所述用户身份标识和请求时间对同一匹配池内的用户进行同池匹配，以得到至少一个游戏队伍。
更具体的，在一个实施例中，所述匹配池划分单元具体用于：
根据所述用户地理位置得到距离矩阵；
基于所述距离矩阵确定初始中心点集；
基于所述初始中心点集通过K-means算法确定多个匹配池。
更具体的，在一个实施例中，所述游戏队伍划分单元具体用于：根据所述用户身份标识确定用户的游戏实力；
根据所述游戏实力将游戏实力差距小于第一预设差值的用户的匹配进统一游戏队伍；
根据所述请求时间判断是否存在匹配时长超过第一预设时间的第一剩余用户；
若是，则根据所述游戏实力将游戏实力差距小于第二预设差值的用户匹配至同一游戏队伍。更具体的，在一个实施例中，所述游戏队伍划分单元还用于：根据所述游戏实力将游戏实力差距小于第二预设差值的用户匹配至同一游戏队伍之后，根据所述请求时间判断是否存在匹配时长超过第二预设时间的第二剩余用户，若是，则根据所述第二剩余用户添加虚拟玩家。更具体的，在一个实施例中，所述游戏匹配请求包括设备地址，匹配模块还用于：将所述同一游戏队伍内所有用户的设备地址发送给所述同一游戏队伍内的所有用户，以使所述同一游戏队伍内的用户根据所述同一游戏队伍内所有用户的设备地址进行同队密接。
更具体的，在一个实施例中，游戏推进模块具体用于：
若所述现实互动数据包括密接数据，根据所述密接数据判断用户接触情况，根据所述用户接触情况确定对应的游戏事件；
若所述现实互动数据包括现实图像数据，根据所述现实图像数据进行识别，以根据识别结果判断是否符合游戏规则，若符合则根据识别结果确定对应的游戏事件；
若现实互动数据包括定位数据，根据所述定位数据确定用户的位置信息，根据所述位置信息确定对应的游戏事件。
本实施例提供了一种游戏互动系统，先获取用户的游戏匹配请求，再根据用户的游戏匹配请求为用户匹配游戏队伍，进而获取同一游戏队伍内多个用户的现实互动数据，最终基于现实互动数据确定对应的游戏事件，以基于所述游戏事件推动游戏进程，本实施例采用现实互动数据作为游戏事件的确定数据，能够在游戏中获取与现实对应的虚拟反应，将游戏的虚拟与现实交互，增强了游戏的现实互动性，能够引导用户进行现实活动从而降低对虚拟世界的沉迷，同时增强了游戏的可玩性。
实施例四
图6为本发明实施例四提供的一种服务器400的结构示意图，如图6所示，该服务器包括存储器410、处理器420，服务器中处理器420的数量可以是一个或多个，图6中以一个处理器420为例；服务器中的存储器410、处理器420可以通过总线或其他方式连接，图6中以通过总线连接为例。
存储器410作为一种计算机可读存储介质，可用于存储软件程序、计算机可执行程序以及模块，如本发明实施例中的游戏互动方法对应的程序指令/模块(例如，游戏互动系统中的匹配请求获取模块310、匹配模块320、互动数据获取模块330和游戏推进模块340)。处理器420通过运行存储在存储器410中的软件程序、指令以及模块，从而执行服务器的各种功能应用以及数据处理，即实现上述的游戏互动方法。
其中，所述处理器420用于运行存储在存储器410中的计算机可执行程序，以实现如下步骤：步骤S110、获取用户的游戏匹配请求；步骤S120、基于所述游戏匹配请求为用户匹配游戏队伍；步骤S130、获取同一游戏队伍内多个用户的现实互动数据，所述现实互动数据包括 密接数据、现实图像数据和定位数据中的至少一种；步骤S140、基于所述现实互动数据确定对应的游戏事件，以基于所述游戏事件推动游戏进程。
当然,本发明实施例所提供的一种服务器,该服务器不限于如上所述的方法操作,还可以执行本发明实施例任意实施例所提供的游戏互动方法中的相关操作。
存储器410可主要包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需的应用程序；存储数据区可存储根据终端的使用所创建的数据等。此外，存储器410可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他非易失性固态存储器件。在一些实例中，存储器410可进一步包括相对于处理器420远程设置的存储器，这些远程存储器可以通过网络连接至服务器。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
本实施例提供了一种服务器，先获取用户的游戏匹配请求，再根据用户的游戏匹配请求为用户匹配游戏队伍，进而获取同一游戏队伍内多个用户的现实互动数据，最终基于现实互动数据确定对应的游戏事件，以基于所述游戏事件推动游戏进程，本实施例采用现实互动数据作为游戏事件的确定数据，能够在游戏中获取与现实对应的虚拟反应，将游戏的虚拟与现实交互，增强了游戏的现实互动性，能够引导用户进行现实活动从而降低对虚拟世界的沉迷，同时增强了游戏的可玩性。
实施例五
本发明实施例五还提供一种包含计算机可执行指令的存储介质，所述计算机可执行指令在由计算机处理器执行时用于执行一种游戏互动方法，该游戏互动方法包括：
获取用户的游戏匹配请求；
基于所述游戏匹配请求为用户匹配游戏队伍；
获取同一游戏队伍内多个用户的现实互动数据，所述现实互动数据包括密接数据、现实图像数据和定位数据中的至少一种；
基于所述现实互动数据确定对应的游戏事件，以基于所述游戏事件推动游戏进程。
当然，本发明实施例所提供的一种包含计算机可执行指令的存储介质,其计算机可执行指令不限于如上所述的方法操作，还可以执行本发明任意实施例所提供的游戏互动方法中的相关操作。
通过以上关于实施方式的描述，所述领域的技术人员可以清楚地了解到，本发明可借助软件及必需的通用硬件来实现，当然也可以通过硬件实现，但很多情况下前者是更佳的实施方式。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品可以存储在计算机可读存储介质中，如计算机的软盘、只读存储器(Read-Only Memory,ROM)、随机存取存储器(Random Access Memory,RAM)、闪存(FLASH)、硬盘或光盘等，包括若干指令用以使得一台计算机服务器(可以是个人计算机，服务器，或者网络服务器等)执行本发明各个实施例所述的方法。
值得注意的是，上述游戏互动系统的实施例中，所包括的各个单元和模块只是按照功能逻辑进行划分的，但并不局限于上述的划分，只要能够实现相应的功能即可；另外，各功能单元的具体名称也只是为了便于相互区分，并不用于限制本发明的保护范围。
注意，上述仅为本发明的较佳实施例及所运用技术原理。本领域技术人员会理解，本发明不限于这里所述的特定实施例，对本领域技术人员来说能够进行各种明显的变化、重新调整和替代而不会脱离本发明的保护范围。因此，虽然通过以上实施例对本发明进行了较为详细的说明，但是本发明不仅仅限于以上实施例，在不脱离本发明构思的情况下，还可以包括更多其他等效实施例，而本发明的范围由所附的权利要求范围决定。

Claims (10)

  1. 一种游戏互动方法，其特征在于，包括：
    获取用户的游戏匹配请求；
    基于所述游戏匹配请求为用户匹配游戏队伍；
    获取同一游戏队伍内多个用户的现实互动数据，所述现实互动数据包括密接数据、现实图像数据和定位数据中的至少一种；
    基于所述现实互动数据确定对应的游戏事件，以基于所述游戏事件推动游戏进程。
  2. 根据权利要求1所述的游戏互动方法，其特征在于，所述游戏匹配请求包括用户身份标识、用户地理位置、请求时间，所述基于所述游戏匹配请求为用户匹配游戏队伍包括：
    基于所述用户地理位置将用户划分至多个匹配池；
    基于所述用户身份标识和请求时间对同一匹配池内的用户进行同池匹配，以得到至少一个游戏队伍。
  3. 根据权利要求2所述的游戏互动方法，其特征在于，所述基于所述用户地理位置将用户划分至多个匹配池包括：
    根据所述用户地理位置得到距离矩阵；
    基于所述距离矩阵确定初始中心点集；
    基于所述初始中心点集通过K-means算法确定多个匹配池。
  4. 根据权利要求2所述的游戏互动方法，其特征在于，所述基于所述用户身份标识和请求时间对同一匹配池内的用户进行同池匹配包括：
    根据所述用户身份标识确定用户的游戏实力；
    根据所述游戏实力将游戏实力差距小于第一预设差值的用户的匹配进统一游戏队伍；
    根据所述请求时间判断是否存在匹配时长超过第一预设时间的第一剩余用户；
    若是，则根据所述游戏实力将游戏实力差距小于第二预设差值的用户匹配至同一游戏队伍。
  5. 根据权利要求4所述的游戏互动方法，其特征在于，根据所述游戏实力将游戏实力差距小于第二预设差值的用户匹配至同一游戏队伍之后，还包括：
    根据所述请求时间判断是否存在匹配时长超过第二预设时间的第二剩余用户，若是，则根据所述第二剩余用户添加虚拟玩家。
  6. 根据权利要求1所述的游戏互动方法，其特征在于，所述游戏匹配请求包括设备地址，所述基于所述游戏匹配请求为用户匹配游戏队伍之后，还包括：
    将所述同一游戏队伍内所有用户的设备地址发送给所述同一游戏队伍内的所有用户，以使所述同一游戏队伍内的用户根据所述同一游戏队伍内所有用户的设备地址进行同队密接。
  7. 根据权利要求1所述的游戏互动方法，其特征在于，所述基于所述现实互动数据确定对应的游戏事件包括：
    若所述现实互动数据包括密接数据，根据所述密接数据判断用户接触情况，根据所述用户接触情况确定对应的游戏事件；
    若所述现实互动数据包括现实图像数据，根据所述现实图像数据进行识别，以根据识别结果判断是否符合游戏规则，若符合则根据识别结果确定对应的游戏事件；
    若现实互动数据包括定位数据，根据所述定位数据确定用户的位置信息，根据所述位置信息确定对应的游戏事件。
  8. 一种游戏互动系统，其特征在于，包括：
    匹配请求获取模块，用于获取用户的游戏匹配请求；
    匹配模块，用于基于所述游戏匹配请求为用户匹配游戏队伍；
    互动数据获取模块，用于获取同一游戏队伍内多个用户的现实互动数据，所述现实互动数据包括密接数据、现实图像数据和定位数据中的至少一种；
    游戏推进模块，用于基于所述现实互动数据确定对应的游戏事件，以基于所述游戏事件推动游戏进程。
  9. 一种服务器，其特征在于，包括：
    一个或多个处理器；
    存储系统，用于存储一个或多个程序；
    当所述一个或多个程序被所述一个或多个处理器执行，使得所述一个或多个处理器能够实现如权利要求1-8中任一项所述的游戏互动方法。
  10. 一种计算机可读存储介质，其上存储有计算机程序，其特征在于，该程序被处理器执行时实现如权利要求1-8中任一项所述的游戏互动方法。
PCT/CN2021/120554 2021-04-14 2021-09-26 游戏互动方法、系统、服务器及存储介质 Ceased WO2022217846A1 (zh)

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