54 results about "User environment" patented technology

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 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.

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.

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.

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 application relates to the technical field of network information security, and discloses a user behavior risk identification method and device, equipment and a medium. The method comprises the following steps: acquiring mouse track data generated by a target user in webpage interaction; performing structural analysis on the mouse track data to obtain a multi-dimensional data set with a standardized structure, wherein the multi-dimensional data set represents the association relationship among mouse behavior data, page context data and user environment data; extracting multi-dimensional behavior features from the multi-dimensional data set, wherein the multi-dimensional behavior features represent the behavior features of the target user in different dimensions in webpage interaction; and performing risk identification on the interactive behavior of the target user according to the multi-dimensional behavior features to determine the risk type corresponding to the target user. The application overcomes the problems of isolated data dimensions and missing association relationships, thereby improving the accuracy and stability of the user behavior risk identification result.

The invention provides an artificial intelligence service processing method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: continuously collecting user environment data, and combining a preset triggering condition to recognize a potential service event, so as to generate a service scene description containing an environment state, a user behavior and an inference demand; meanwhile, the service scene description and user historical memory data are input into an analysis model to complete service type judgment and task planning, an external tool is called according to generated task execution logic to obtain real-time data, and personalized information in user memory is retrieved to generate customized service content fusing general knowledge and user characteristics; and finally, the customized service content is converted into a natural language to be output, so that the problem that customized service content fitting user characteristics cannot be generated in the prior art can be solved.

The invention relates to the technical field of data security, and discloses a CA authentication-based user identity recognition and access control method and system for a collection platform, and the method comprises the steps: obtaining user registration data, and determining an information collection template of a user according to the user registration data; inputting the user registration information into a corresponding information acquisition template, acquiring a user information text of the user, and signing and issuing a CA certificate for the user according to the user information text; acquiring a CA certificate of the user, setting a role for the user according to the CA certificate of the user, and determining an initial authority for the user according to the role of the user; and acquiring user environment data, determining a dynamic permission according to the user environment data, and performing access control on the user according to the initial permission and the dynamic permission. According to the invention, the access control of the user to the data is realized through more accurate and flexible role allocation, and the security and reliability of the data of the collection platform are improved.

A system is provided which may include (a) a knowledge database with required knowledge data associated with one or more goals of a user, (b) a skill database including required skill data associated with the one or more goals, (c) an AI bot module configured to generate first user environmental data, first user knowledge data; and first user skill data, (d) an environmental assessment module configured to match the first user environmental data to a current goal, (e) a knowledge assessment module, configure to obtain required knowledge data from the knowledge database based on the current goal and generate a first knowledge assessment as an output, (f) a skill assessment module, configured to select first required skill data from the skill database based on the current goal and generate a first skill assessment, and (g) an awarding module, configured to generate an award associated with the current goal

Systems and methods provide real-time guidance for a user performing a task by integrating sensor measurements with augmented-reality (AR) presentation. One or more sensors, including external sensors integrated with tools, devices, or packaging, generate measurement data associated with physical quantities. A processor receives the measurement data and, using spatial parameters corresponding to locations associated with the measurements, generates a virtual representation of at least a portion of the user's environment and one or more overlays indicating a status or guidance for one or more areas of the environment. An AR device displays the overlays in spatial registration with the environment to guide the user during task execution. In some embodiments, computer vision and machine-learning inference recognize objects, orientation, or task context to adapt the overlays and guidance.

The invention relates to a computer-implemented method for tagging user action (UAC) data in a user environment (ENV), in particular wherein the user environment (ENV) is a computer (CMP)-implemented user interaction (UIA) environment (ENV), the method is characterized by comprising the following steps: a) providing a pre-trained user action (UAC) pattern recognition model (PRM), the pattern recognition model (PRM) being designed in such a way that the pattern recognition model (PRM) recognizes a user action (UAC) pattern (APT) known to the pattern recognition model (PRM) from a sequence of user action (UAC) parts comprising the user action (UAC) pattern (APT) known to the pattern recognition model (PRM); and outputting a user action (UAC) mode (APT) or a flag associated with the user action (UAC) mode (APT), the invention relates to a method for identifying user actions (UAC) in a user action (UAC) sequence (SQC), b) recording of user actions (UAC), c) analyzing the recorded user actions (UAC) by a user action (UAC) pattern recognition model (PRM) for a user action (UAC) pattern (APT) known by the pattern recognition model (PRM), d) if a known user action (UAC) pattern (APT) is not detected in the user action (UAC) sequence (SQC), generating a user interaction (UIA) as a user interaction (UIA) requesting information about a previous user action (UAC) sequence (SQC), the present invention relates to a method for training a pattern recognition model (PRM) using a user action (UAC) sequence, e) tagging past user action (UAC) sequences (SQC) using information received from an information request, f) storing the tagged user action (UAC) sequences (SQC) in a user action (UAC) sequence (SQC) database (DBS), g) training the pattern recognition model (PRM) using the user action (UAC) sequences (SQC) and corresponding tags (LBL) of the user action (UAC) sequence (SQC) database (DBS).

We provide the system. [Solution] A visual device means for collecting environmental data and audio information from the user, Information processing device means for pre-processing collected data to anonymize and reduce data size, An analytical device means for analyzing pre-processed data to estimate individual interests, A video output device means for displaying information related to the user, An information integration system means that combines the analyzed results with information from an external database, A system that works in conjunction with a sensor network that provides real-time information on the usage status of public facilities, A system that includes this.

The invention provides a generative model driven sampling for adaptive sparse multi-modal sensing of user environments and intent. The disclosed computer-implemented method comprises: (1) predicting a user state, where the user state is measurable via a plurality of different sensor sampling patterns; (2) determining a level of uncertainty associated with the predicted user state; and (3) selecting a sampling pattern from the plurality of different sensor sampling patterns to measure the user state. Selecting the sampling pattern includes: selecting a first sampling pattern in response to determining that the uncertainty level is above a threshold; alternatively, a second sampling pattern is selected in response to determining that the uncertainty level is below the threshold. Other various methods, systems, and computer readable media are also disclosed.

The application relates to a mass multi-element data intelligent collection system and a collection method, wherein the mass multi-element data intelligent collection system comprises a collection extraction module, a collection storage module, a collection selection module and a collection query module. In view of the characteristics of multi-element data query request elements in a large-scale user environment, such as high concurrency of query requests, large storage data volume of multi-element data of users and the like, the mass multi-element data intelligent collection system can meet the key problems of rapid response to online concurrent requests of large-scale users and rapid multi-element search and query of mass multi-element data. In the storage stage, the mass multi-element data intelligent collection system extracts according to different element characteristics of invoices, stores into a collection information table after collection and classification, and in the query stage, originally required multi-element joint query is simplified into once element identification value calculation and twice single-element query, so that all electronic invoice information meeting the query condition can be quickly obtained, and the query time is greatly optimized.

The invention discloses a heterogeneous computing power resource time division multiplexing method and system oriented to a multi-user environment, and relates to the technical field of heterogeneous computing, the method comprises the following steps: acquiring operation state data of tasks and load data of heterogeneous equipment in a unified acquisition period, and acquiring a structural form data set and a resource occupation data set after data processing; and calculating the structural strength Fra of the task fragment according to the structural form data set, generating structural stability evaluation, and when the structural stability evaluation is that the task structure is stable, calculating the predication scale Win of the insertable fragment through the structural form data. According to the method, the comprehensive scheduling adaptation degree Spd is calculated, adaptation state evaluation is generated, task fragments are distributed according to the adaptation state evaluation, and execution instructions of the task fragments are issued to an equipment driving layer through a scheduler, so that all tasks are subjected to time division multiplexing operation in a future equipment window according to structural characteristics and resource characteristics. According to the method, the dynamic allocation and scheduling of the fragmented structure can be carried out under a complex load condition.

The application provides a verifiable multi-user fuzzy keyword search method and system, and relates to the technical field of cloud computing, which comprises the following steps: a verification center initializes public parameters; a data owner encodes index keywords of data into index vectors with a preset fixed length, and sends the index vectors to corresponding data servers for storage; a data searcher encodes query keywords into query vectors with a preset fixed length, and sends the query vectors to the corresponding data servers for searching; the data servers perform searching according to the locally stored index vectors and the received query vectors, and transmit the searching results to the verification center; the verification center verifies whether the keywords match based on the searching results, and verifies the correctness and integrity of the results; the application provides a new fuzzy keyword search technology based on a wildcard, which is called a vector and range judgment matching scheme, and combines a Shamir threshold scheme to realize fuzzy keyword search with high efficiency and high accuracy in a multi-user environment.

Data encryption system in multi-user environment and end-to-end data encryption comprising system server (1), user device (2), user-system network (3), system application (10) configured for creating, storing, searching, managing the access to data. System application (10) comprises client application (11), server application (12) and agent application (13). Data of the system comprises documents (19) and encryption and decryption keys. Keys are accessible to user (16) and agent application (13) only. Each document (19) is stored on system server (1) encrypted with document key (20). System application (10) defines a position (17), which is unit of company (15) and basic unit of system application (10), on whose behalf all actions with documents (19) are performed. User (16) is assignable to position (17), access of user (16) to document (19) is provided via assigned position (17) only. Each position (17) has unique pair of asymmetric position keys (21) generated by agent application.