17848results about "Video games" patented technology

A system and method for AI based user experience curation across multiple scenarios and finite time horizons of interest. The present invention integrates connectionist and symbolic AI techniques to generate coherent, relevant, and personalized content across various domains. The invention bridges the gap between connectionist AI and symbolic AI, enabling more adaptive, immersive, and engaging user experiences while prioritizing security and traceability and contextualization considerations behind recommendations or content generation. The platform furthers dynamic and tailored user interactions with digital systems across individual interactions, preferences, sequences and ongoing engagements across sessions by leveraging the power of analytics, deep learning, and AI to create truly intelligent, dynamic, and responsive user experiences enhanced with optimization and planning faculties.

A system and method for creating complex, immersive, and interactive digital content is disclosed. The system integrates advanced artificial intelligence, multi-modal input processing, cloud-based shared environments, and immersive hardware to generate, optimize, and deliver rich interactive experiences. The platform supports content mashups, custom scenario generation, and adaptive AI behaviors, enabling the creation of unique and engaging digital environments across various media formats.

Various embodiments of the technology described programmatically access a user query intended for a Large Language Model (LLM), analyze the user query, and determine prompt-enriching information that is combined with the user query to generate an enriched user query that is ultimately communicated to the LLM. In this manner, additional prompt-enriching information or context is added to the user query before being communicated to the LLM so that the additional prompt-enriching information, along with the user query, can be tokenized to better guide the LLM to a more accurate answer without modifying weights, parameters, or training of the LLM. Certain embodiments have the technical effect of improved accuracy relative to existing approaches by enriching user queries with prompt-enriching information to generate an enriched user query that is passed to the LLM. Based on the enriched user query, certain embodiments reduce the likelihood of hallucinations present in the LLM response.

Generative models are disclosed to generate audio and visual outputs to a user when the user struggles with a particular aspect of a video game. The generative outputs can demonstrate what success at that aspect of the game looks like, doing so using the same playstyle, ability, and tactics as the user themselves to provide relevant and feasible assistance to the user.

The invention provides a high-precision motion capture real-time calibration method based on multi-sensor fusion, and the method comprises the steps: obtaining motion data and environmental parameters collected by multiple sensors, the multiple sensors comprising an inertial measurement unit and an optical sensor; constructing a dynamic calibration model based on the action data and the environmental parameters, and performing real-time error compensation and fusion processing on the sensor data; and establishing a time-varying error dynamic model, and performing real-time compensation on zero offset drift, vibration noise and electromagnetic interference of the inertial measurement unit based on the environmental parameters. According to the invention, the IMU and the optical sensor are fused, respective advantages are exerted, and motion data are comprehensively collected. And meanwhile, the time-varying error dynamic model compensates errors generated by environmental interference in real time, so that real actions can be accurately restored through action capture.

A universal mobile game controller is provided that can interoperate with multiple computing device operating systems (e.g., Android and iOS) in an automatic way through a common connector (e.g., USB-C). With these embodiments, instead of building a separate mobile game controller for each operating system, a single mobile game controller can be used for all operating systems. These embodiments can also enable communication with an application running within the computing device operating system. Other embodiments are provided.

The invention provides a game scene optimization method and system based on dynamic rendering, and belongs to the technical field of game development.The game scene optimization method comprises the steps that firstly, a real-time rendering state data set of a current game scene, rendering resource occupation information containing scene elements and picture frame rendering time consumption parameters are obtained; then, a pre-trained rendering demand analysis model is called for analysis, a rendering demand feature set of the scene elements is obtained, the rendering demand feature set comprises element visual importance features and rendering resource sensitivity features, and a scene element dynamic optimization strategy is generated based on the rendering demand feature set; the scene element dynamic optimization strategy comprises an element detail level adjustment rule and a rendering resource allocation priority parameter, executing a rendering parameter adjustment operation on a target scene element according to the scene element dynamic optimization strategy, generating adjusted scene rendering configuration data, and finally inputting the scene rendering configuration data into a game rendering pipeline for real-time rendering processing. And outputting the optimized game scene picture frame sequence. Therefore, the game picture quality and the operation performance can be improved.

The invention provides a dynamic game difficulty self-adaptive adjustment method and system based on user behavior feedback, and relates to the technical field of game design, the method comprises the following steps: carrying out dynamic weighting calculation based on a difficulty adaptation index, generating a dynamic difficulty correction coefficient in combination with user real-time physiological feedback data, and adjusting the dynamic game difficulty according to the dynamic difficulty correction coefficient; the dynamic difficulty correction coefficient comprises a scene complexity adjustment parameter and an interaction response threshold adjustment parameter; inputting the user feedback parameter set into an image feature weight distributor, dynamically adjusting weight distribution of image retrieval feature vectors according to user attention distribution data and operation delay parameters, and generating an optimized scene element retrieval strategy; and performing feature space mapping on the dynamic difficulty correction coefficient and the optimized scene element retrieval strategy, and generating a final game difficulty control instruction set through nonlinear superposition. Game design can be optimized, and game adaptability and flexibility are enhanced.

A gaming device that includes a handheld controller having a handle and a depressible button on the handle configured to receive user input. The depressible button includes a first marking layer including a first indicia, a first light source configured to illuminate the first indicia in the first marking layer, a second marking layer stacked with the first marking layer and including a second indicia, and a second light source configured to illuminate the second indicia in the second marking layer.

A handheld gaming device in which configurations allow for default-open, force-close systems and separate the user's insertion of the mobile device and closure of the handles around the mobile device.

A mobile phone control handle assembly is suitable for holding a mobile phone, and is connected to the mobile phone. The mobile phone control handle assembly includes a handle body, a control module, two handle auxiliary accessories, and at least two magnetic shielding members. The handle body is used to hold the mobile phone. The handle body includes buttons and joysticks. When at least one of the buttons and the joysticks is pressed, the control module transmits a corresponding control signal to the mobile phone. The two handle auxiliary accessories are respectively and detachably fixed on two gripping parts of the handle body through magnets. The two magnetic shielding members are used to shield magnetic fields of the magnets. The two handle auxiliary accessories are configured to enhance a gripping experience of a user when gripping the two gripping parts.

A mixing device is provided. The mixing device includes: an input unit, inputting sounds; multiple output units, outputting the sounds; a sound setting operator, setting a sound setting value that is a setting value relating to the sounds; a selection operator, selecting the output unit of a target for setting the sound setting value; a setting value acquisition means, acquiring the sound setting value set by the sound setting operator with respect to the output unit selected by the selection operator; and a mixing means, for each of the output units, mixing the sounds input at the input unit based on the sound setting value corresponding to the output unit and being the sound setting value acquired by the setting value acquisition means.

Described herein are techniques for implementing a virtualized physical controller. The techniques may include receiving user input(s) on a touchscreen display of a user device, including a first touch from which can define a primary input region and one or more secondary touches offset from the first which can define or more secondary input regions arranged adjacent to the primary input region. The input regions are associated with respective input mechanisms or commands in the configuration data. While the configuration data is implemented, the touchscreen display can monitor for touches, detect touch input in the configured regions, and generate activation data for each input mechanism or command in response to touch. The positions and shapes of the input regions may be iteratively redefined as touch input is monitored on the touchscreen display.

A method of integrating a cryptographic digital asset into a digital software application, includes receiving a digital asset identification (ID) code, the digital asset ID code existing together with a unique owner ID code on a distributed blockchain ledger. The digital asset ID code represents the cryptographic digital asset, and the cryptographic digital asset comprises a plurality of attributes. A virtual object is then represented on the display via the digital software application. The virtual object has an appearance that is based on the plurality of attributes of the cryptographic digital asset, and the virtual object includes a plurality of object attributes. The method further includes modifying at least one of the object attributes according to an aspect of the digital software application or interaction between the character avatar and the virtual object and representing a modified virtual object on the display via the digital software application.

The invention discloses a game cue word generation method fusing an expert strategy and multi-thinking-chain reasoning. The method comprises the following steps that multi-modal input composed of a text and an image is obtained; multi-mode information is injected into multi-thinking-chain reasoning and expert strategies, and efficient access and cue word splicing of the multi-mode information are achieved; inputting the micro-operation multi-mode cue word fusing the expert multi-stage strategy and the multi-thinking chain reasoning into a large language model; performing comprehensive analysis on the input information by the large language model, generating a plurality of thinking chains in parallel, selecting an optimal scheme through evaluation, and mapping a high-level decision into a specific game operation instruction; the large language model outputs an action instruction to an LLM-PySC2 interface, and the game environment is executed and influenced; and outputting game information, related knowledge, legal actions, action parameters and actions of the previous step back to the large model, and carrying out learning and evaluation again.

A dry bag for game controllers is described. The dry bag may include one or more joystick protrusions that receive the joystick(s) of the game controllers to allow the user to move (and preferably rotate) the joystick(s) while the game controller is in the dry bag. The protrusion(s) may be surrounded by an accordion fold(s) that allows movement of the joystick protrusion(s) and joystick(s) in a 360 degree manner.

Methods and systems are provided for improving remote computing experiences. The methods leverage modified PC or console architectures, which enable both local and remote console connections. The systems operate with multiple devices through a peer-to-peer connection. In the context of gaming, the systems are engineered to address obstacles such as low upstream rates and limited bandwidth or quality of service. An AI trained on play style is used as a substitute for a low bandwidth client. Also, methods are provided for inviting remote players, transferring control to a remote user, managing controller connections, and addressing low bandwidth situations using adaptive bitrate. The enhancement of connection, single encoding, and transmission processes contributes to a superior computing and / or gaming experience for all players, irrespective of their bandwidth or quality of service. Related networks, models, apparatuses, devices, techniques, articles, architectures, packets, manifests, tables, data storages, and graphical user interfaces are provided.

Disclosed are a dart game apparatus and a dart game system outputting an event effect. The dart game apparatus may include: a dart target having a plurality of score areas; a sensing unit sensing a hit location of a dart pin in the dart target; a display unit providing a display area surrounding the dart target, provided in a body structure of the dart game apparatus, and outputting a variable screen, comprising a touch sensor to detect at least one of a touch pressure, a touched position and a touched area in the display unit; and a controller controlling the display unit at least partially based on the hit location of the dart pin in the dart target.

The disclosed concepts relate to training a machine learning model to provide help sessions during a video game. For instance, prior video game data from help sessions provided by human users can be filtered to obtain training data. Then, a machine learning model can be trained using approaches such as imitation learning, reinforcement learning, and / or tuning of a generative model to perform help sessions. Then, the trained machine learning model can be employed at inference time to provide help sessions to video game players.

Aspects of the present application help to alter searches in non-linear media. In some embodiments, a server may receive a part of a user search query related to non-linear content. The server may access progress data that is associated with the user profile and perform a search on a database using the progress data and the search query to produce a number of candidate content items (e.g., search results). The server may access a data structure that defines possible paths through the non-linear media, and may filter the candidate content items based on the progress data and the data structure that defines the possible paths through the non-linear media to generate output of a filtered candidate content item.

An extendable controller having a first handle part; a second handle part; an elongate bridge with a first half in sliding engagement with a first bridge-link portion of the first handle part and a second half in sliding engagement with a second bridge-link portion of the second handle part; and an extendable arrangement to synchronously extend and retract the first handle part and the second handle part uniformly in opposite directions relative to the elongate bridge along an extension axis. The extendable arrangement includes a dual-reciprocating-opposite-motion-carrier system having a first reciprocating carrier, a second reciprocating carrier, an opposite motion mechanism to move the first reciprocating carrier and the second reciprocating carrier in opposite directions with respect to the extension axis, a first elongate member coupling the first handle part to the first reciprocating carrier, and a second elongate member coupling the second handle part to the second reciprocating carrier.

An extendable controller having a first handle part; a second handle part; an elongate bridge with a first half in sliding engagement with a first bridge-link portion of the first handle part and a second half in sliding engagement with a second bridge-link portion of the second handle part; and an extendable arrangement to synchronously extend and retract the first handle part and the second handle part uniformly in opposite directions relative to the elongate bridge along an extension axis. The extendable arrangement includes a dual-reciprocating-opposite-motion-carrier system having a first reciprocating carrier, a second reciprocating carrier, an opposite motion mechanism to move the first reciprocating carrier and the second reciprocating carrier in opposite directions with respect to the extension axis, a first elongate member coupling the first handle part to the first reciprocating carrier, and a second elongate member coupling the second handle part to the second reciprocating carrier.

The invention discloses a game controller animation synchronization method and system, and relates to the technical field of data transmission. The method comprises the following steps: step S1, input capture; step S2, data preprocessing; s3, performing a prediction algorithm; step S4, data compression and packaging; step S5, network transmission; step S6, processing by a server; step S7, receiving and analyzing by the client; step S8, generating an animation; step S9, performing synchronous correction; and step S10, a feedback mechanism. According to the method, the input data of the game controller is collected, the next operation of the user is predicted, the skeletal animation is generated according to the predicted result, physical skin rendering is conducted on the animation, the skeletal animation or the key frame difference value is used, the playing speed is adjusted in combination with dynamic time distortion, the animation synchronization delay is reduced, and the animation synchronization effect is improved.

The invention relates to the technical field of game development and artificial intelligence, and discloses a Qt interactive game role action response control method fused with AI emotion recognition, which comprises the following steps: S1, acquiring multi-modal data such as facial expression, voice intonation and limb action of a player by using sensors such as a camera and a microphone on game equipment; s2, the collected multi-modal data are transmitted to an AI emotion recognition module, a deep learning algorithm is adopted to analyze and process the data, and the current emotion state of the player is recognized; and S3, obtaining current game scene information and other operation instructions input by the player through the Qt framework. According to the Qt interactive game role action response control method and system fused with AI emotion recognition, through the AI emotion recognition technology, a game role can sense the emotion state of a player and make the emotion interaction action matched with the game role, the emotion resonance between the game role and the player is enhanced, and the interaction experience and immersion of a game are greatly improved.

A device for simulating a weapon in a virtual reality (VR) environment, an augmented reality (AR) environment, a mixed reality (MR) environment, and / or combinations thereof. The device is adjustable to fit a user's shape and receive a gaming controller. The device includes a forearm grip and a front-end grip that improves the simulation of weaponry and user immersion.

The invention discloses a game level generation recommendation method, system, device and medium, and the method specifically comprises the steps: carrying out the combined modeling of multi-modal data through a multi-task learning network, and generating a dynamic user portrait vector, the main task of the multi-task learning network is used for predicting the skill level of a player, and the auxiliary task of the multi-task learning network is used for predicting the skill level of the player; auxiliary tasks of the multi-task learning network are used for classifying interest labels and analyzing emotional tendencies; inputting the dynamic user portrait vector into a dual-channel generative adversarial network, generating a candidate level set, and screening initial recommended levels through a playability evaluation algorithm; and calculating the matching degree between the skill score of the user and the level challenge degree in real time according to a difficulty-skill dynamic balance model, and dynamically adjusting the level parameters of the initial recommendation level through the matching degree to obtain a first recommendation level. According to the method, key problems in traditional game level design and recommendation are effectively solved, and efficient, personalized and real-time game level generation and recommendation with optimized user experience are realized.

The invention provides an AI role interaction method, interaction device and interaction equipment in a game platform, and relates to the technical field of game interaction.The method comprises the steps that a current game scene, game task information and game character information are obtained, and a first behavior parameter set of AI roles is generated; collecting current operation behavior data and voice interaction data of a user; performing intention recognition processing on the operation behavior data and the voice interaction data to generate a user behavior feature vector, and determining a relation link between the user behavior feature vector and at least one of game scene information, task information and character information to generate a dynamic interaction strategy; a second behavior parameter set is generated according to the dynamic interaction strategy, and multi-modal interaction content matched with the second behavior parameter set is rendered and generated; and displaying the multi-modal interaction content to the user terminal. According to the method, the interaction of the AI role can be more real and natural, and the game immersion and satisfaction of the user can be remarkably improved.

A method for generating broadcasts including receiving game state data and user data of players participating in a gaming session of a video game. A spectator zone-of-interest in the gaming session is identified having a scene of a virtual gaming world that is viewable from camera perspectives in the virtual gaming world. Statistics and facts are generated for the gaming session based on the game state data and the user data using a first AI model trained to isolate game state data and user data that are of interest by spectators. Narration is generated for the scene using a second AI model configured to select statistics and facts from the statistics and facts generated using the first AI model, the selected statistics and facts having a highest potential spectator interest as determined by the second AI model configured to generate the narration using the selected statistics and facts.

The invention discloses a WebGL-based mass data particle system rendering method and device, and belongs to the technical field of computer graphic processing. The method comprises the following steps: firstly, selecting the type of a particle emitter according to scene requirements, then constructing a primitive object based on points or quadrangles, and configuring three-dimensional coordinates and texture parameters; aggregation rendering is carried out on a single-frame primitive array through a WebGL vertex shader and a fragment shader, and the drawing calling frequency is reduced; the method comprises the steps of dynamically adjusting particle attributes, including position compensation, color gradient and explicit-implicit control, determining a rendering form and playing time of an animation according to requirements of an actual application scene, and supporting fine configuration of a single particle, including texture animation, dynamic scaling and rotation parameters. When a large amount of data is processed, on the premise of ensuring the rendering quality, the rendering efficiency can be remarkably improved, the consumption of a memory and GPU resources can be reduced, the response time of the system can be optimized, and meanwhile, the interaction experience of a user can be improved.