89 results about "User environment" patented technology

The invention relates to the field of artificial intelligence, and discloses an E-commerce platform commodity recommendation method based on AI intelligence, and the method comprises the steps: obtaining user environment and behavior data through multi-modal perception, generating a three-dimensional intention vector through space-time convolution network coding, and driving a dynamic strategy selector to configure a recommendation weight; generating an initial recommendation list in combination with the commodity feature library and the user portrait; collecting user interaction feedback in real time, analyzing and outputting a correction vector through a lightweight loop network, dynamically adjusting a strategy, and reordering recommendation results; after a user places an order, a scene complementation generator is started, a complementation commodity sub-list adaptive to a current transaction scene is generated based on knowledge graph multi-hop reasoning, and visual fusion presentation is carried out. According to the technical scheme, accurate intention recognition, millisecond-level strategy correction and dynamic complementary recommendation are achieved, and recommendation real-time performance, adaptability and diversity are improved.

The invention relates to a gesture recognition and projection fusion non-contact interaction method and device, equipment and a medium. The method comprises the steps of obtaining multi-user gesture original image data, extracting geometric features and boundary features of a hand contour after image preprocessing and noise removal, and generating recognition result data; secondly, on the basis of three-dimensional coordinate information in the recognition result, a tracking trajectory is analyzed through trajectory continuity, a user identity identifier is matched in combination with a user identity feature library, and user space positioning information is generated; then, a three-dimensional track point sequence is extracted from the user space positioning information, an initial projection area is divided by adopting a dynamic area segmentation algorithm, and an operation area mapping relation is formed; and finally, analyzing the operation area mapping relation to extract gesture action features, generating a control instruction set in combination with a preset rule, and scheduling a conflict instruction to generate an instruction execution sequence. By adopting the method, the scene limitation of traditional contact type interaction can be broken through, and the stability and practicability of non-contact interaction in a multi-user environment are improved.

A device located within a user environment may be used to measure one or more environmental conditions within the user environment. For example, the sensor device may measure the temperature, humidity, light intensity, color temperature, and / or the like. The sensor device may periodically measure the environmental conditions, and may periodically transmit the values of the measured environmental conditions to a computing device. A mobile device associated with a user may receive the measured values from the sensor device when the mobile device is within range of the sensor device, and may present a survey to the user that includes one or more questions that prompt the user to report their comfort level with respect to the measured environmental conditions. The mobile device and / or another computing device may build a profile for the location and / or the user based on the values and the user's reported comfort levels.

The embodiment of the invention provides a method and device for allowing an application to access a system resource, and a terminal. The method includes: acquiring an operation control request of anapplication; determining a user environment where the application is about to operate according to the operation control request of the application; acquiring a safe context corresponding to the userenvironment from a plurality of preconfigured safe contexts in a system, wherein the plurality of preconfigured safe contexts in the system are corresponding to different user environments respectively, and system resource access rights corresponding to the plurality of preconfigured safe contexts are different from each other; and performing access processing on the system resource according to the system resource access right corresponding to the safe context corresponding to the user environment. The scheme can perform application behavior control on the same application under different users.

The disclosed computer-implemented method may include (1) predicting a user state, wherein the user state is measurable via a plurality of different sensor sampling modes, (2) determining a level of uncertainty associated with the predicted user state, and (3) selecting, from the plurality of different sensor sampling modes, a sampling mode to measure the user state. Selecting the sampling mode may include selecting a first sampling mode in response to determining that the level of uncertainty is above a threshold or selecting a second sampling mode in response to determining that the level of uncertainty is below the threshold. Various other methods, systems, and computer-readable media are also disclosed.

The invention provides a home equipment control method based on artificial intelligence and related equipment. The method comprises the following steps: acquiring user environment data in real time; acquiring user habit data corresponding to the user environment data; calling a preset AI big data model to generate a control instruction based on the user habit data; and controlling the target home equipment based on the control instruction. According to the method, the user environment data is acquired in real time, so that the user habit data of the user in the environment condition can be accurately grasped. The personalized control instruction can be generated based on the user habit data and the preset AI big data model, so that personalized and automatic control of the home equipment is realized. Meanwhile, compared with a traditional manual control mode, automatic control is higher in response speed and more accurate in control.

A system S comprises a server 3 and HMDs 4. The server 3 comprises a composite space generation unit 31b that generates composite space, a user environment determination unit 32 that determines space to be recognized by each user via his HMD 4, a user state recognition unit 33 that recognizes a motion of the user, a trigger event recognition unit 35 that recognizes a trigger event which is a motion performed by the user to a virtual object, and a virtual space generation unit 37b that generates virtual space. When the trigger event is recognized, the user environment determination unit 32 causes the user to recognize the virtual space instead of the composite space.

The invention discloses an AI automobile recommendation method and system based on a multi-modal large model and electronic equipment, and relates to the field of sales recommendation, and the method comprises the steps: S1, data collection and preprocessing: collecting consumer portrait data, vehicle use environment context data and vehicle multi-modal data; through a cleaning algorithm, feature engineering is carried out after abnormal data is removed, and a pre-training data set, a fine tuning data set and an online real-time streaming data set are generated; local coding desensitization processing is carried out on the consumer sensitive portrait data; step S2, three-stage model training, specifically comprising the following steps: step S21, large-scale pre-training; step S22, performing task alignment and fine adjustment; step S23, carrying out online reinforcement learning; and S3, recommendation generation and output, which specifically comprises the steps of receiving basic information input by a user, performing cross-modal fusion reasoning on user, environment and vehicle information through a trained model, and outputting a Top-K vehicle type sorting result and a corresponding natural language recommendation reason.

An interactive system may be implemented in part by an audio device located within a user environment, which may accept speech commands from a user and may also interact with the user by means of generated speech. In order to improve performance of the interactive system, a user may use a separate device, such as a personal computer or mobile device, to access a graphical user interface that lists details of historical speech interactions. The graphical user interface may be configured to allow the user to provide feedback and / or corrections regarding the details of specific interactions.

The present invention relates to a system that automatically generates 2D animations based on text and embeddings, maintaining visual and semantic consistency by combining model IDs and embeddings of characters, backgrounds, and motions. Information regarding scenes, characters, backgrounds, actions, and dialogue is extracted from input text content through natural language processing (NLP) and semantic analysis. By combining character embeddings and motion embeddings with model IDs, background images are synthesized to automatically generate animation scenes while maintaining consistency in the appearance and movement of the characters. Adaptive learning based on user feedback is performed to continuously improve the generation performance of the system, and post-production work is automated to maximize production efficiency. By enabling the efficient and consistent production of 2D animations in large-scale user environments, this system reduces production costs and time and supports non-experts in easily creating animations.

The application belongs to the technical field of smart home, and particularly relates to a smart home device control method and system based on a smart door lock, which comprises the following steps: obtaining a plurality of historical data slices containing a leading event sequence; constructing a user behavior graph according to the historical data, and calculating a mode coincidence degree of a current behavior; meanwhile, learning a user environment preference according to the historical data, constructing a probability density model to calculate an imbalance degree of a current environment; finally, fusing the behavior mode coincidence degree and the environment imbalance degree into a decision factor through an adaptive nonlinear function, and the decision factor is used for dynamic matching in a historical successful scene library and driving the final device control. The application realizes adaptive, personalized and continuously optimized smart home control, and can improve user experience.

This disclosure relates to communicating with and controlling a load control system. Systems and methods are disclosed herein for: communicating with a load control system in a corresponding user environment via a communication network; receiving information about the load control system via the communication network; displaying a graphical user interface based on the received information; and controlling and configuring the load control system via the graphical user interface by transmitting messages to the load control system via the communication network.

The invention relates to a computer-implemented method (100) for generating a contextual memory aid for a user, comprising at least the following steps: generating (104) a response text (32) for a user request (30) using a language model; generating (106) an environment description (36) from image information (34) of a user environment in which the user request (30) was captured, using a visual language model; generating (108) a keyword (38) from the response text (32) and the environment description (36); generating (110) a memory aid text (40) from the keyword (38), the response text (32), the environment description (36), and the user request (30); generating (112) a memory aid image (42) from the image information (34) and the memory aid text (40); Providing (114) an output signal that displays the memory aid image (42) and the memory aid text (40).The method (100) improves the effectiveness of learning.

The application provides an enterprise document synchronization method and system, an electronic device and a storage medium. The enterprise document synchronization method is used for a server and includes the following steps: receiving an operation request for a target document from a first client, wherein the operation request includes adding, editing or deleting; performing permission verification on the operation request according to the first client; performing content compliance verification on the operation request based on the permission verification; performing version consistency verification on the operation request based on the content compliance verification; and sending consent information to the first client and distributing the operation request to a plurality of second clients based on the version consistency verification. Through real-time synchronization, permission verification and content compliance verification, the application realizes safe and efficient collaboration of documents in a multi-terminal and multi-user environment, and overcomes the problem of lack of fine permission control and content security review mechanism in related technologies.

A computer-implemented method that includes (1) maintaining access to a database that contains object augments mapped to one or more objects along with which the object augments are configured to be presented to and sensed by a user via an extended-reality system, (2) detecting an object in the user's environment that is mapped to at least one object augment in the database, (3) determining whether a presentation condition associated with the at least one object augment is satisfied, (4) prioritizing presentation of the at least one object augment to the user via the extended-reality system when the presentation condition is satisfied, and (5) constraining presentation of the at least one object augment to the user via the extended-reality system when the presentation condition is not satisfied. Various other methods, systems, and computer-readable media are also disclosed.

The present disclosure relates to a method and system for personalized resolving of one or more issues associated with one or more users in a multi-user environment. The method includes analyzing user data in real-time to create a dynamic and personalized user profile based on user behavior, user intent, and user sentiment. One or more insights are generated based on the user profile and provided to support agents during a support interaction session to assist in resolving user issues. Further, a personalized support interaction is generated during a support interaction session based on the user profile and insights to provide resolutions tailored to the user's context.

The invention discloses an experimental data encryption storage system, which comprises a data encryption storage unit configured to encrypt experimental data by using a symmetric encryption algorithm and realize key exchange by using an asymmetric encryption algorithm; the authority control unit is set to realize role-based access control; the reservation management unit is arranged to execute an experiment reservation function and generate and manage a reservation code; the data uploading and downloading unit is used for providing a standardized data uploading and downloading interface; and the administrator management unit is used for managing users, permissions, data and logs of the system. By integrating data encryption, authority control and appointment management, full-process safety and controllability of experimental data are achieved, management efficiency and internal safety are effectively improved, data confidentiality, completeness and flexible sharing are considered in a multi-user environment, and the dual requirements of a laboratory for safety and availability are met.

Techniques for providing horizontally scaled caching of versioned data are provided. In some aspects, the techniques described herein relate to a method including initializing a first version cache (VC) object based on a version of data stored in a data storage device; replicating the first VC to generate a second VC; receiving a write operation at the first VC; generating a delta for the write operation, the delta representing a change in the version of data; writing the delta to a persistent replication log, the persistent replication log storing an ordered set of deltas including the delta; writing data in the write operation to the data storage device; and applying the ordered set of deltas at the second VC to update data stored by the second VC.

Some embodiments of a method may include obtaining augmented reality (AR) anchoring information related to a real-world user environment; configuring at least one Quality of Experience (QoE) metric based on the AR anchoring information; measuring at least one QoE metric based on creation; measuring at least one QoE metric based on detection; and measuring at least one tracking-based QoE metric. Some embodiments of the method may further include adjusting the AR anchoring process based on at least one of the at least one creation-based QoE metric, the at least one detection-based QoE metric, and the at least one tracking-based QoE metric.

To provide a suitable selection of virtual objects in a three-dimensional space. [Solution] A system and method for interacting with virtual objects in three-dimensional space using a wearable system are disclosed. The wearable system can be programmed to allow a user to interact with virtual objects using a user input device and posture. The wearable system can also automatically determine contextual information such as the layout of virtual objects in the user's environment and switch user input modes based on the contextual information.

The invention discloses a multi-terminal linkage control system based on HDMI (High Definition Multimedia Interface) loop-out and infrared signaling control, and particularly relates to the technical field of artificial intelligence. Infrared operation signaling of a user and running state data of multimedia equipment are collected in real time through an infrared signal receiving unit and an HDMI loop-out distribution unit which are deployed in a user environment; performing fine structure extraction and analysis on the acquired infrared operation signaling, including infrared coding mode identification and signal strength and directivity analysis, and identifying an operation intention in combination with a preset equipment infrared code library; based on collected multimedia equipment operation state data and an operation intention identified by a signaling analysis and feature extraction module, a current control environment is analyzed through a self-adaptive algorithm, a multi-terminal linkage control strategy is dynamically generated, a control signal is sent to target multimedia equipment through an HDMI loop-out distribution unit, and the target multimedia equipment is controlled to operate. Automatic linkage control over the multiple terminal devices is achieved, and control results and state changes of all the devices are monitored.

A state of a multi-user communication session is saved in response to detection of an application state saving event, or a session state saving event. During runtime, application state saving events may be detected for each application executing during a session. Application state parameters are saved in response to each application state saving event, from which the application may be launched to the saved state. In response to a state saving event, the most recent application state information for each application executing in the session are collected and stored such that the multi-user communication session may be launched to the saved state, including each application executing in the session.

The invention relates to the technical field of range hood control, in particular to a range hood control method and device, electronic equipment and a storage medium, the method is applied to a range hood control system, the range hood control system comprises a range hood control module and a cloud server, and the range hood control module is in communication connection with the cloud server; the method comprises the steps that a range hood control module obtains current cooking information and sends the current cooking information to a cloud server; through the synergistic effect of the local range hood control module and the cloud server, the cloud server can record a temperature change curve and adjusted control parameters in a specific time period when misrecognition occurs, so that a control algorithm is subsequently optimized and improved. In this way, the intelligent level and user experience of the range hood can be improved, and when misrecognition is caused by the difference of use environments and use habits of different users, intelligent control of the range hood can be corrected in real time, and the user experience is improved.

A system and methodology for creating bespoke content tailored to each user in a user environment, including a bespoke content generator configured to autogenerate and test bespoke content in real-time and at least one machine learning platform. The at least one machine learning platform is configured to: autogenerate a landing webpage based on an interest level of all previously converted users from a same or similar followed generated multimedia content; monitor interaction with the landing webpage by a communicating device; and autogenerate on-the-fly and in real-time one or more subsequent webpages based on the interaction. The subsequent webpages are generated as the communicating device interacts with each webpage and progresses according to a predicted interaction trajectory.

A method for automatically generating a safety environment upon detection of a suspected malicious data file includes detecting, on a computing device, a suspect data file suspected of including code harmful to the computing device and / or a user and generating, via a request from the user, a safety environment accessible to the computing device. The safety environment is isolated from a user environment of the computing device where effects of accessing the suspect data file in the safety environment are isolated from the user environment of the computing device. The method includes performing one or more computing activities on the suspect data file within the safety environment that are configured to determine whether the suspect data file includes code harmful to the computing device and / or the user. The method includes receiving an exit signal to exit the safety environment and deactivating the safety environment in response to the exit signal.

We provide a system that supports effective decarbonization actions at the individual level and contributes to the realization of a sustainable society. [Solution] A system including means for acquiring household electricity usage data, means for transmitting the acquired electricity usage data to a server, means for analyzing the acquired data on the server and identifying electricity consumption patterns, means for inputting and transmitting user environmental behavior data to the server, means for analyzing the user's environmental behavior data and awarding points, means for generating suggestions using AI based on electricity usage data and environmental behavior data, means for transmitting suggestions from the server to the user's terminal, means for the user to perform the suggested actions and input feedback, and means for sharing data and listing environmentally friendly products and displaying them to the user.

The invention provides a process processing method and system, electronic equipment and a computer program product, and relates to the field of computers. The process processing method comprises the following steps: polling a virtual file system according to a preset period to obtain a current process list; generating a target event list according to a historical process list and the current process list; and performing anomaly detection on the target event in the target event list, and processing the target event according to an anomaly detection result. By using the process processing method provided by the embodiment of the invention, the process in the Linux operating system can be monitored in real time without the permission of a kernel level, the process processing method can be deployed and operated in a common user environment, and the application range of the process processing method is greatly expanded.

The invention provides an environment and resource state sensing resource distribution method and system, and the method comprises the steps: obtaining user environment states and network resource states in a coverage range of a plurality of cells, the user environment states comprise task information, user importance and maximum tolerable delay of tasks, and the network resource states comprise network resource states and network resource states; the network resource state comprises availability of communication resources in the network, availability of computing resources and channel state information from a user to a base station; and iteratively allocating communication resources and computing resources to the selected user according to the user environment state and the network resource state by taking an average user satisfaction degree, which maximizes the satisfaction degree of the selected user and the satisfaction degree of the rejected user at the same time, as an optimization target, the rejected user is a user which is estimated according to the task information and cannot meet the maximum tolerable delay.

The present disclosure discloses a system (102) enabling detection of anomalies in data stream processing and method thereof. The system includes an interactive e-commerce platform and acquires a user profile associated with the at least one user associated with one or more computing device from a user environment to a source environment by a connection system. System (102) authenticates a user proximity and analyses the user profile to allow the user to access one or more resources in the source environment. System (102) stores and secures one or more details pertaining to the interaction of the user with the resources to allow the user to access the details each time the user connects to the connection system. System (102) facilitates a secure and smart way for the user to interact and access the resources by generating the one or more content recommendations along with the one or more reward options.