37 results about "User perception" patented technology

The present disclosure relates to an augmented reality (AR)-content-providing device that can further increase user satisfaction and its utilization by realizing AR content of a 3D image. An AR-content-providing device comprises at least one display module configured to separately display a background image and a main image, and at least one optical member including respective display light paths of the background image and the main image so that the background image and the main image are superimposed on each other to be perceived as a three-dimensional (3D) image by a user's eyes.

Embodiments of the present application disclose a resource scheduling method, a terminal device and a storage medium. The resource scheduling method comprises: obtaining current application scenario information; selecting a corresponding user perception model according to the current application scenario information; the user perception model represents a corresponding relationship between a user perception score and a time delay; determining a pre-configured reference point corresponding to the user perception model; and performing model conversion on the user perception model based on the pre-configured reference point to obtain a performance factor and time delay corresponding relationship; determining a real-time performance factor corresponding to a real-time time delay based on the performance factor and time delay corresponding relationship, so as to adjust the performance capability of a frequency adjustment scheduling mechanism by using the real-time performance factor when the real-time time delay arrives.

This disclosure relates to a user perception optimization method, apparatus, device, medium, and product in the field of edge computing technology. The method includes: constructing a user perception optimization system model with the goal of enhancing the perception of all users through task processing mode selection; transforming the user perception optimization system model into a user perception quality maximization problem based on Markov decision processes; and employing a proximity policy optimization method within a deep reinforcement learning framework to obtain the optimal task scheduling strategy for user perception in the Markov decision process user perception quality maximization problem. This disclosure establishes a dynamic task scheduling model for user perception in edge computing networks, achieving an accurate description of the user perception problem. Based on the Markov decision process user perception quality maximization problem, it uses a proximity policy optimization method within a deep reinforcement learning framework to intelligently derive the optimal task scheduling strategy, ensuring the perception experience of each user throughout a continuous period.

In one aspect of the present invention, when information indicating a virtual reality space including an avatar corresponding to a user is displayed on a head-mounted display worn by the user, mind and body information indicating a state of mind and body of the user is acquired, and effect information for causing the user to perceive or have an illusion of the state of the mind and body is generated on the basis of the acquired mind and body information. The effect information is then reflected on the avatar included in the information indicating the virtual reality space, and information indicating the virtual reality space including the avatar on which the effect information is reflected is output to the head-mounted display.

This application provides a data processing method, apparatus, device, and storage medium. The data processing method includes: acquiring a target application to be recommended and notification element data of the target application; determining the application recommendation weight of the target application based on the application access duration and application access frequency; determining the notification recommendation weight corresponding to the notification element data based on the element feature weight of the notification category feature corresponding to the notification element data and the application recommendation weight; responding to a notification recommendation request triggered by a target recommendation component, generating and displaying a target recommendation interface corresponding to the current interaction scenario based on the notification element data and the notification recommendation weight. This achieves multi-dimensional determination of the notification weight of each notification content, and then outputs interactive notification element data in a personalized manner based on the notification weight, improving the accuracy and flexibility of notification content recommendation, reducing the efficiency of user perception of notification content, and avoiding the omission of important notification information.

This invention provides a method, apparatus, electronic device, storage medium, and product for dynamic attitude calibration, relating to the field of satellite communication technology. The method includes: acquiring user-perceived data based on distributed devices, and determining terminal attitude data based on the user-perceived data; wherein, the distributed devices refer to devices composed of multiple devices that perceive user data; determining the current relative direction of the satellite interacting with the terminal; determining an attitude prediction result based on the terminal attitude data, the current relative direction, and a policy gradient algorithm; determining a dynamic attitude calibration strategy based on the attitude prediction result, and calibrating the terminal's attitude relative to the satellite based on the dynamic attitude calibration strategy. The technical solution of this invention is applicable to the continuous process of voice communication between a user's handheld terminal and a satellite, dynamically sensing terminal attitude data, and realizing dynamic attitude calibration of the terminal relative to the satellite.

This invention proposes a real-time risk interception method and an intelligent seal system for intelligent seal usage. The method includes: a data acquisition step S101, collecting user perception data; a risk factor calculation step S102, calculating a real-time risk index value R based on the perception data; and an interception step S103, where if R ≤ T1, the seal usage operation is allowed; if R ≥ T2, the seal usage operation is intercepted and an alarm is issued; and if T1 ≤ T2 ≤ T2, the user is prompted to perform enhanced verification, where T1 is a first threshold and T2 is a second threshold. The inventive concept of this application lies in combining real-time multimodal perception with a dynamic risk fusion model to achieve comprehensive, proactive security assessment and immediate intervention for a single seal usage behavior, considering factors from "identity," "intent," "document," to "environment," thereby ensuring seal usage security.

Differentiating between human interaction and computer interaction using a natural perception of human eyes to identify human users. One or more images may be displayed within one or more test fields on a web page. The one or more images themselves, or a duration for which they are presented, may cause a human eye to not see something that is in the images or to see something that is not in the images. Input may be received from the user identifying all images that are perceived by the user. A determination may be made that the user is a human user based on what the user identifies. Access to another web page may be granted to users who are determined to be human and denied to users that are not determined to be human.

A dish washer includes a blind module capable of covering an opening of a door that is opened as a pop-up handle moves to an extended position, thereby preventing an inner space of the door from being contaminated by foreign substances that may be introduced through the opening of the door, preventing a malfunction and a damage to a driver resulted from the introduction of the foreign substances, and preventing aesthetic sensibility perceived by a user from being deteriorated by blocking observation of the inner space of the door.

This invention relates to the field of communication technology, and provides a method, apparatus, device, medium, and product for predicting user-perceived degraded cells. The method includes: acquiring a user's core network domain document; based on the user's identity identifier, associating the core network domain document with the corresponding radio network domain data to obtain a user wide table, and extracting user-perceived features and radio network domain features from the user wide table; inputting the user-perceived features and radio network domain features into a trained dual-domain model to predict degraded users, obtaining the degraded users output by the dual-domain model, and determining the degraded features from the user-perceived features and radio network domain features; and determining the degraded cells from each cell based on the degraded features of the cells traversed by the degraded users. The method, apparatus, device, medium, and product for predicting user-perceived degraded cells provided by this invention can achieve more accurate prediction of user-perceived degraded cells.

The application discloses a base station retreat service influence prediction method, device, equipment, medium and product. The method comprises the following steps: acquiring a same-frequency measurement report and a different-frequency measurement report; preprocessing the same-frequency measurement report and the different-frequency measurement report to obtain a plurality of target measurement reports; obtaining a target measurement report corresponding to each time slice of each call number according to the reporting time and the call number of each target measurement report; obtaining a corresponding serving cell and a best neighbor cell of the serving cell according to the target measurement report; obtaining the number of times that the best neighbor cell appears in the target measurement report corresponding to each time slice of each call number and the number of times that a neighbor cell of the serving cell appears, and obtaining a migration proportion of the serving cell to each neighbor cell; and determining a prediction value of the base station retreat service influence according to the migration proportion. According to the embodiment of the application, the prediction accuracy can be improved when the influence of the base station retreat service on the user perception is predicted.

This application discloses a garment processing device and an automatic drying drum control method, comprising: a housing, the housing including: a front panel with a drain pump inspection port; a back panel with an air inlet; an air inlet duct disposed within the housing, one end of which is connected to the air inlet and the other end to the outer drum; a heating element disposed within the air inlet duct to heat the drying air flowing through it; an inspection cover covering the drain pump inspection port, the cover having an air outlet; an air outlet duct disposed within the housing, one end of which is connectable to the outer drum and the other end to the air outlet; and a fan assembly connected to the air inlet duct and / or the air outlet duct to drive the drying air to flow sequentially through the air inlet duct, the outer drum, and the air outlet duct. This allows for the drying of moisture from both the outer and inner drums, and the humid drying air can be discharged from the air outlet on the front inspection cover, facilitating user perception of the drying effect and increasing the structural strength of the housing.

According to examples, a system for supplementing user perception and experience via augmented reality (AR), artificial intelligence (AI), and machine-learning (ML) techniques is described. The system may include a processor and a memory storing instructions. The processor, when executing the instructions, may cause the system to receive data associated with at least one of a location, context, or setting and determine, using at least one artificial intelligence (AI) model and at least one machine learning (ML) model, relationships between objects in the at least one of the location, context, or setting. The processor, when executing the instructions, may then apply an artificial intelligence (AI) agent to analyze the relationships and generate a three-dimensional (3D) mapping of the at least one of the location, context, or setting and provide an output to aid a user's perception and experience.

This disclosure relates to the field of computer technology, including virtual reality interaction methods, devices, and storage media for historical and cultural heritage. It involves determining associated 3D scene data based on the user's perception state, the first perceptual benefit and first resource cost of each candidate rendering state among multiple candidate rendering states for each rendering unit, and determining a target rendering strategy from at least two rendering strategies based on the first perceptual benefit and first resource cost. The 3D scene data is then rendered in 3D based on the target rendering strategy. This allows the user's perception state to serve as a unified control variable throughout the entire process, enabling coordinated regulation of the rendering accuracy, data transmission and scheduling strategies, and semantic generation and presentation of cultural content in the virtual reality scene of historical and cultural heritage. This achieves dynamic regulation of the virtual reality scene based on the user's perception state, avoiding information redundancy or insufficient presentation, thus saving equipment resources while meeting the user's interactive needs.

The present invention provides an abnormal noise detection device that determines whether or not engine noise is included in the sound emitted from a vehicle. [Solution] The abnormal noise detection device 20 includes a vehicle information collection unit 21 that acquires vehicle information including vehicle speed, vehicle acceleration, and engine output over a certain period of time; an operation unit 24 that is operated by the user when the user perceives an abnormal noise over a certain period of time; a map creation unit that creates a vehicle information map by adding the operation status of the operation unit to the vehicle information; and a determination unit 23 that holds an ambient noise map 32 in which threshold values ​​for engine output indicating that the abnormal noise is engine noise are defined for vehicle speed and vehicle acceleration, and determines whether or not the abnormal noise is engine noise based on the comparison result between the vehicle information map 31 and the ambient noise map 32.

We provide the system. [Solution] An information processing means that receives input information from the user and performs processing to evaluate the user's mental state based on that information, Based on the evaluation results obtained by the information processing means, an analysis means for identifying distortions in the user's perception, A proposal means for suggesting individually optimized improvement measures for the cognitive distortions identified by the analysis means, An adjustment means for collecting user feedback and optimizing the information processing means and proposal means based on said feedback, A sensing means for monitoring the user's daily behavior and interactions via a robot, detecting signs of stress and anxiety, and suggesting appropriate mental exercises based on these findings, A system that includes this.

This application discloses a method, apparatus, device, storage medium, and program product for cell handover, applied to a terminal. The method includes: receiving a channel measurement signal sent by a first base station when the user perceived rate of the terminal is detected to be lower than a preset threshold; measuring multiple channel quality parameters corresponding to each neighboring cell based on the channel measurement signal; sending multiple channel quality parameters to the first base station for each neighboring cell, so that the first base station can predict the user perceived rate corresponding to the neighboring cell based on the multiple channel quality parameters; sending the user perceived rate corresponding to the neighboring cell to a second base station; the second base station determining a target neighboring cell based on the user perceived rate corresponding to each neighboring cell; and handing over the cell where the terminal is camped to the target neighboring cell according to the handover instruction sent by the second base station. This method can predict the user perceived rate after the terminal accesses a neighboring cell and thus determine the target neighboring cell, ensuring the user perceived rate after the terminal hands over to the target neighboring cell.

The present disclosure provides a voice fallback parameter optimization method and device, equipment and medium, and relates to the technical field of communication. The method comprises the following steps: a base station receives a voice call request of a terminal, and the voice call request comprises an identifier of the terminal; whether the terminal has reported a weak field call A2 is judged based on the identifier of the terminal; in the case that the terminal has reported the weak field call A2 and the uplink channel detection result of the terminal is received, the uplink channel detection result of the terminal and the measurement result fed back after the terminal reaccesses to the 5G network are combined to judge whether the weak field call A2 threshold set by the base station is reasonable, and whether the terminal is in weak coverage; in the case that the weak field call A2 threshold set by the base station is unreasonable and / or the terminal is in weak coverage, the weak field call A2 threshold of the terminal is reset. According to the embodiment of the present disclosure, the user perception can be effectively guaranteed, and the network service quality can be improved.

This application relates to a human-computer interaction response method that addresses the contradiction between achieving high content quality in large-scale models and low-latency response required for real-time interaction in intelligent assistants. This solution employs an active pre-simulation approach, analyzing user context through a probabilistic event pruning mechanism to predict a set of high-probability user events. This priority event set is then sent to a second model for processing, asynchronously pre-generating information assets corresponding to the priority event set and storing them in a multimodal database. When an interaction request is received, the first model only needs to quickly retrieve the relevant information assets matching the interaction request from the pre-built multimodal database, and then orchestrate and synthesize them with the interaction request and context data to quickly and accurately output the response information. This solution decouples the costly deep generation process from the real-time interaction link, reducing user-perceived interaction latency while ensuring both high-quality and in-depth response content.

The application discloses a kind of interactive mode recommendation methods of fusing user preference and ergonomics, by introducing a large language model as intelligent reasoning agent (Intelligent Agent), construct a real two-way cognitive framework.The framework is translated into understandable, about user preference symbolic memory by preference prediction module to the physiological signal of user on one hand, realize the depth cognition of subjective state of people by robot;On the other hand, collect real-time ergonomics parameters.Finally, by the large language model intelligent agent, the two kinds of heterogeneous information are balanced and reasoned by thought chain, dynamically balance the subjective preference of user and physical ergonomics, so as to recommend the optimal interactive mode to user, reduce the number of interactive operation and failure, shorten task completion time, improve the natural degree of interaction, comfort degree perceived by user.

A search and question answering method may be applied to a device-cloud synergy scenario. The method includes: A client sends a query request (query) and historical information to a cloud, and the cloud guides generation of an answer to the query request based on the historical information, to obtain the answer associated with the historical information. Because the historical information may reflect a feature of a user who uses the client, the answer generated in this way better aligns with user perception, improving a degree of matching between the answer and the user.

The application provides a kind of collaborative caching method of multi-bit rate video based on edge computing, the application studies the MBS caching placement mechanism of multi-bit rate video, and formulates an integer programming problem.Under the constraint of caching capacity, the problem of how to deploy multiple bit rate videos on MES is proposed, with the goal of maximizing user perceived QoE;The application provides a system model, including a network model, a caching model and a QoE function;For a general QoE function, an efficient caching algorithm based on greedy heuristic is designed, and for a linear QoE formula, it is proved that there is an optimal solution, which converts the problem into a monotone submodule maximization problem.Using the video collaborative caching strategy of the application, better performance can be achieved, and the user perceived QoE is improved.

This invention discloses an artificial intelligence-based low-vision visual assistance system, belonging to the field of artificial intelligence technology. The system includes a visual perception modeling module, an environmental data acquisition module, a multimodal feature extraction module, a blind spot risk assessment module, a perception delay analysis module, a multimodal output optimization module, and an auxiliary signal output module. By acquiring individual user vision parameters, fusing video and audio data to extract multimodal features, a perception accessibility model is constructed and a blind spot risk map is generated. Based on target trajectory prediction and environmental noise levels, the user's perception delay is dynamically calculated. A machine learning algorithm is used to adaptively select the optimal prompting method, and auxiliary signals are output on the user's device in the form of voice, vibration, or image. This invention can achieve early identification and prompting of potential dynamic risk targets within the visual blind spot, possessing high intelligence, personalization, and practicality, significantly superior to existing visual assistance solutions.

The application provides a network resource scheduling method and device, computer equipment and storage medium, and relates to the technical field of communication, wherein the method comprises the following steps: classifying the service scene where the user is based on the multi-source perception data of the user, obtaining the context label of the user; calculating the current QoE degradation index of the user based on the real-time network performance data of the user; determining the current service level of the user based on the preset service level classification function, the context label of the user and the current QoE degradation index of the user; determining the current resource adjustment parameter of the resource granularity based on the current service level of the user and the preset resource granularity adaptive scheduling strategy; and performing resource allocation based on the resource adjustment parameter. The technical scheme provided by the application can actively adjust the resource strategy according to the current subjective experience quality of the user, and overcomes the defect that there is a lack of dynamic linkage mechanism between the current service level and the user perception.

The application provides a user perception mapping method and system based on a service experience model, constructs a perception anchor point set of service experience features and user perception expressions, wherein the service experience features include service interaction fluency and content presentation fitness, and the user perception expressions are direct feeling descriptions of users on service use. Real-time service interaction data is analyzed for features, and real-time service experience features consistent with the service experience feature types in the perception anchor point set are extracted. The real-time service experience features are matched with the perception anchor point set by calling a service experience model, and a matching result is generated by dynamically adjusting the matching weight through an association reinforcement module. The matching result is used to perform perception expression conversion, and real-time user perception information is formed in combination with a real-time service scene. The real-time user perception information is compared with a preset perception optimization benchmark, and perception optimization guidance including a perception improvement direction and specific service adjustment suggestions is generated to provide accurate guidance for service optimization.

This application relates to the field of autonomous driving technology, and in particular to a method, apparatus, and storage medium for a vehicle's reversing trajectory tracking. The method includes: responding to a user's reversing trajectory tracking command, entering a reversing trajectory tracking mode, generating a reversing trajectory tracking path for the vehicle, determining the user's preferred reversing speed, generating a reversing action based on the reversing trajectory tracking path and the preferred reversing speed, and generating at least one optical and / or at least one acoustic reminder based on the vehicle's current state during the reversing action, and using the at least one optical and / or at least one acoustic reminder to provide reversing trajectory tracking interaction to the user. This solves the problems of related technologies where reversing trajectory tracking uses a fixed reversing speed and relies solely on the cockpit display screen to assist user perception, resulting in a disconnect from the user's personalized needs, insufficient user feedback and sense of security, and low actual usage rate of the reversing trajectory tracking function.

This application relates to a dishwasher. The dishwasher includes a blind module capable of covering the opening opened as the door pop-out handle moves to an extended position, thereby preventing the interior space of the door from being contaminated by foreign objects that may be introduced through the door opening, preventing malfunctions and damage to the actuators caused by the introduction of foreign objects, and preventing the aesthetic experience perceived by the user from being deteriorated by blocking the view of the interior space of the door.

This application provides an adaptive control method, device, and vehicle for a vehicle-mounted refrigerator to address the technical problem that conventional vehicle-mounted refrigerators use fixed speed control for the compressor and cooling fan, which fails to adapt to individual vehicle differences, dynamic changes in actual operating conditions, and the shifting of user perception needs across various scenarios. The method achieves comprehensive dynamic optimization of cooling performance and vibration perception throughout the entire lifecycle and all usage scenarios. The adaptive control method for the vehicle-mounted refrigerator includes: after the intelligent function of the refrigerator is activated, driving the compressor and cooling fan within a pre-calibrated initial speed range, and simultaneously collecting real-time vibration data of the refrigerator; when the real-time vibration data indicates that the refrigerator vibration exceeds a preset vibration threshold range, dynamically adjusting the operating speed combination of the compressor and cooling fan based on the current operating status information of the vehicle, thereby achieving comprehensive optimization of cooling performance and vibration perception.