584 results about "User control" patented technology

A system and apparatus for selectively limiting user control of a mobile electronic device are provided. In an embodiment, the apparatus may be a case sized to receive a mobile electronic device, the case having a locking means to at least partially secure an opening thereof. When engaged, the locking means may be physically impenetrable by the user of the mobile electronic device and may further be configured to engage and disengage in the presence of one or more pre-determined conditions. For example, the lock may engage when the case is detected within a certain geographical region or even during a specified time. It is contemplated that providing disclosed systems and apparatuses may reduce undesirable behavior at communal events by eliminating distractions posed by mobile electronic devices and preventing unauthorized recordings, which together may enhance overall engagement at and enjoyment of such events.

A fan includes a main body of fan and a bracket assembly. The main body of fan is connected to the bracket assembly. The main body of fan includes a blower part for blowing air, a rotating bracket and a main unit. The rotating bracket is arranged between the blower part and the main unit and is configured to connect the blower part and the main unit. The main unit is configured to control air blowing of the blower part. The bracket assembly includes at least one bendable and shapeable supporting leg configured to fix the fan to an external object. A rotating bracket is rotatably connected to both a blower part and a main unit, enabling vertical and horizontal rotation of the blower part. This configuration achieves multi-angle adjustment of the blower part, simplifies user control over airflow direction, and thereby significantly improves user experience.

A hearing aid system comprises a hearing aid, and a portable auxiliary device’ adapted to establish a communication link between them. The hearing aid comprises a microphone providing an electric input signal, a signal processor, and an output unit. The auxiliary device comprises a microphone providing an auxiliary electric input signal, and a user control interface allowing a user to initiate a specific calibration mode of operation of the hearing aid system. The signal processor of the hearing aid is configured to receive corresponding time segments of said electric input signal and said auxiliary electric input signal to provide an estimate of an acoustic transfer function from said microphone of said auxiliary device to said microphone of said hearing aid. A method of operating a hearing aid system is further disclosed. The invention may e.g. be used in various applications related to own voice detection and estimation.

Systems and methods for enhancing, controlling and / or otherwise managing use of generative artificial intelligence (AI), such as in business, education, interpersonal communication, etc., including to assess use of generative AI (e.g., whether and / or how generative AI is used) and / or to use generative AI more effectively. For example, in various embodiments, these systems and methods may: characterize generative AI usage in producing work products; bill based on generative AI usage; ensure human validation of AI-generated content; enable user control over data for generative AI training, review of AI-generated content, and / or other generative AI considerations; facilitate management of rights to AI-generated work products; detect generative AI usage in interpersonal communication, education and / or other situations; adapt AI-generated content of online communications based on their context; personalize AI-generated messages and other content; trigger use of generative AI based on speech; limit or otherwise avoid generative AI usage; and / or improve use of generative AI in other ways.

Aspects of the disclosed technology include machine-learning systems and methods for generating user interface elements that allow user control over generative content creation by machine-learned generative models. A generative user interface (UI) system is configured to generate, as output of one or more machine-learned sequence processing models, computer-executable functional code to process a user query in association with a content item. The system is configured to generate computer-executable interface code for a user interface that includes a user interface element associated with at least one parameter of the computer-executable functional code for modifying the content item. The system is configured to determine data for the at least one parameter of the computer-executable functional code based at least in part on a user input to the user interface element and generate a modified content item using the computer-executable functional code and the data for the at least one parameter.

The invention discloses a power distribution network data processing method and device based on deep learning, terminal equipment and a storage medium, and belongs to the field of power distribution networks. Inputting the current operation state into a preset state detection agent, and generating a target operation action of the power distribution network under the current operation state data, so that a user controls the on-off state of each device in the power distribution network according to the target operation action; wherein the training of the state detection intelligent agent comprises the following steps: acquiring historical operation state data of the power distribution network; and taking the historical operation state data as input of training operation, repeatedly executing the training operation, stopping executing the training operation when the loss function value of the deep reinforcement learning network is minimum, and obtaining a state detection agent of the power distribution network, so that the problem of low adjustment efficiency of the existing power distribution network can be solved.

An aircraft seat may include an integrated motion control system. The motion control system may include one or more user controlled sub-systems. Each sub-system may include at least one of a user control device, a lever arm, and a metering pin assembly. The lever arm may couple to the user control device and synchronously transmit a force to one or more cables in response to an actuation of the user control device. The metering pin assembly may include a metering pin which may be configured to attach to an end portion of the one or more cables and receive a force from the one or more cables causing the respective control sub-system to execute an adjustment control operation. The adjustment control operation may include a vertical position adjustment, a swivel position adjustment, or a track position adjustment.

A system for robot-assisted surgery includes a surgical robot having a robotic arm, an end effector coupled to the robotic arm, wherein the end effector is adapted to receive, translate, and orient a navigated surgical instrument; a camera tracking system adapted to intra-operatively track a pose of the navigated surgical instrument relative to a defined coordinate system; and a computer platform including a processor and a memory. In embodiments, the computer platform operative to display to a user an image of a target location on the patient and the pose of the navigated surgical instrument; and selectively control translation and orientation of the navigated surgical instrument based on a defined operational mode, to perform a surgical process under user control that comprises one or more of: reaming an acetabulum of the patient to a planned center of an acetabular prosthesis, or positioning the acetabular prosthesis in the reamed acetabulum.

The invention discloses a color temperature adjustable lighting device and a control method thereof, and belongs to the technical field of intelligent lighting. The invention aims to solve the problems that the existing color temperature adjustable lighting device is difficult to adapt to complex ambient light change, the individual demand fusion of users is insufficient and the color temperature stability is poor. Ambient light and a user control instruction are collected through a perception interaction module, an execution decision module constructs an evaluation data set based on ambient light collection time, ambient light complexity is quantized through multi-dimensional feature extraction and deep evaluation is carried out, after initial target color temperature is obtained in combination with the user control instruction, a hierarchical control strategy is started according to the complexity level, and a target color temperature is obtained. Generating a color temperature gradient adjustment curve; and the intelligent control module performs dynamic calculation and deviation correction on the driving parameters, thereby realizing accurate regulation and control of the color temperature. According to the scheme, the adaptive matching capability and the long-term stability of the illumination color temperature, the environment and the user demand are improved through the environment light complexity evaluation and hierarchical control strategy.

The invention provides a display method, an electronic device, a readable medium and a program product, a display screen of the electronic device comprises a first area and a second area which do not coincide, the second area is provided with a hole digging area, a camera is installed in the hole digging area, the first area is an image display area, and when the electronic device displays a first interface, the camera is installed in the hole digging area. When the user inputs the operation of rotating the device in the first rotating direction, the electronic device can respond to the operation of the user, the snapshot of the first interface is firstly obtained and displayed, and when the electronic device rotates, the display screen keeps displaying the interface content of the first interface firstly. When the transparency of the snapshot of the first interface is smaller than the second value, the image display area displays the second image in the third direction and then displays the dynamic effect of transiting from the second image to the third image, and the second image is displayed in the direction of the first image, so that when a user controls the screen to rotate, the dynamic effect is achieved. The image display area of the display screen can display the rotation effect of the image.

The invention belongs to the technical field of 3D printing, and particularly relates to a deviation real-time monitoring system for a 3D duplicating printing forming process, which comprises a three-dimensional reference feature extraction module, a printing interlayer deviation sensing module, a real-time feedback regulation and control module, a duplicating stability hidden danger output module and a user control management terminal, a high-precision reference model is constructed through a three-dimensional reference feature extraction module, a printing interlayer deviation sensing module comprehensively calculates and accurately captures interlayer deviation, a real-time feedback regulation and control module dynamically adjusts equipment and environment parameters according to a deviation value, and a stability hidden danger output module studies and judges potential risks and performs early warning. The duplicating printing performance evaluation module controls the product percent of pass and the equipment running state from the overall level, real-time monitoring, precise regulation and control and hidden danger pre-judgment of 3D duplicating printing deviation are achieved, the product reject ratio is remarkably reduced, the manual intervention cost is reduced, meanwhile, centralized management and control by a user are facilitated, and the intelligence and reliability of 3D duplicating printing are comprehensively improved.

The invention discloses an interaction state backtracking and semantic reconstruction system based on a user operation log. The system comprises an operation log recording module which is used for capturing interactive operation of a user in an interface in real time and generating an event log with a timestamp; the state backtracking module is used for recovering the interactive semantic state of any time node according to the log; the semantic reconstruction module is used for allowing a user to derive a new interaction path on the basis of the backtracking state so as to realize branch evolution of a semantic structure; and the user control confirmation module is used for providing a confirmation mechanism in the state recovery and reconstruction process to ensure that final execution is triggered by a user. The technical problems that an existing system lacks historical operation tracking, and semantic rollback and reconstruction are difficult to carry out are solved.

The invention provides a historic building heritage colored drawing layer AR visual analysis method and system. The method comprises the steps that correlation analysis is conducted through a multi-dimensional mapping method according to feature vectors of colored drawing colors, texture details and historical information obtained through separation, and a fusion relation matrix between attributes is obtained; according to the fusion relation matrix, a virtual reconstruction algorithm is utilized to carry out spatial recombination on colored drawing colors, texture details and historical information, and a three-dimensional virtual colored drawing model is generated; for the generated three-dimensional virtual colored drawing model, performing change simulation on color and texture details in a time dimension through a dynamic rendering technology to obtain a dynamic presentation effect; according to the dynamic presentation effect, a user control interface is embedded in the interaction environment, a switching function is set for different historical information nodes, and an interactive virtual display framework is determined; according to the corrected virtual model, dynamic rendering and interaction environment configuration are executed again, and a final visual visualization result is obtained.

The invention relates to the field of home safety, in particular to an AI intelligent home safety control system. Comprising a management center, and the management center is in communication connection with a home user behavior module, a home user control module and a safety detection control module. Acquiring historical instruction data of a user for the smart home, analyzing the historical instruction data, constructing a user instruction map, and generating user control data in combination with the user instruction map; constructing a network path link in combination with the historical instruction data and the user control data; analyzing the network path chain to generate a standard path chain template; generating a real-time home path chain through the obtained current control behavior of the user, and obtaining a home behavior control model according to the user instruction map and the network path chain; and analyzing the collected real-time instruction data in combination with the home behavior control model, generating a risk mapping index table, and performing safety control on the smart home through the risk mapping index table. According to the invention, the security of the smart home can be improved.

Processor control over the state (position, attitude or degree of openness) of discharge gates for mowers provides an electronics package which senses or reckons the position of the discharge gate, and thereby provides users control thereover.

A method for providing an interface for user controlled loan repayment may include receiving, from a remote device of a customer, a request to initiate a modification activity with respect to a loan, determining a list of modification activities applicable to the loan and the customer, the list of modification activities including a first modification activity and a second modification activity, wherein at least one of the first modification activity or the second modification activity includes a request to change repayment parameters associated with the loan, providing instructions to the remote device to display the list of modification activities, receiving a selected modification activity from the remote device, and recording updated loan terms based on the selected modification activity.

The embodiment of the invention relates to the technical field of rehabilitation training, and discloses a scene interaction rehabilitation training method and system based on posture parameter feedback, and the training method comprises the steps: obtaining a real-time pressure parameter of a user on a pressure detection platform; processing the real-time pressure parameter to obtain a corresponding multi-modal attitude parameter; mapping the multi-modal attitude parameters into control instructions of corresponding control objects in the virtual scene according to an interactive mapping model; and rendering and outputting a corresponding graphical user interface. According to the embodiment of the invention, the attitude parameter is converted into the instruction of the control object in the virtual scene through the interactive mapping model, so that the user can control the virtual object to complete the training task according to the attitude change of the user. The scene interaction mode changes the boring and repeated form of traditional rehabilitation training, so that the training is more interesting and immersive. Therefore, the training enthusiasm of the user is stimulated, and the problem of low compliance of the user due to boring in the rehabilitation process is solved.

The invention provides a multi-task scheduling method and system of a safety controller. Belongs to the technical field of industrial automation control. According to the method, aiming at a multiple redundancy safety controller, under the environment of not depending on a universal operating system, an external hardware synchronous clock is introduced to send a unified interrupt signal to each system of CPU, so that microsecond-level redundancy synchronous operation is realized; dividing a CPU control period into a basic function task and a plurality of user control tasks by adopting a static time slice rotation strategy; a counter in an interrupt service program is used for directly controlling task switching, and a complex scheduling algorithm is not needed; and meanwhile, through a data processing mechanism of memory partitioning and'centralized carrying-independent execution ', the inter-task data consistency without mutual exclusion locks is realized. According to the method, the problems of dependence on an expensive and safe operating system, difficulty in multi-system synchronization, deadlock risk and the like in the prior art are solved, and the minimum 5ms control period is realized while the cost is greatly reduced.

The invention discloses a user dynamic access control method and system based on multi-dimensional data, and belongs to the technical field of software. The invention aims to solve the problems of user access control policy jitter, security vulnerability and difficulty in explaining compliance caused by static threshold, module independent decision and non-explicit modeling user experience cost and compliance risk cost in the prior art. Therefore, the invention provides a dynamic access control method, which comprises the following steps of: constructing a session-level multi-dimensional access context; dividing risk signal detection according to a visual angle; carrying out risk evidence combination and mode recognition; performing risk trajectory and strategy hysteresis control based on a state machine; unifying action arrangement and conflict resolution of the strategy center; strategy execution and session consistency control are carried out; and effect evaluation and strategy evolution based on multi-dimensional indexes are carried out. Compared with the prior art, multi-view evidence combination, session-level trajectory analysis, state machine and constraint solution and other means are introduced, multi-layer integration from a data layer, a logic layer, a time layer to a control layer is achieved, strategy jitter is effectively relieved, user experience is improved, service continuity is guaranteed, and compliance interpretability is enhanced.

In some embodiments, the dynamic animation generation system can provide a deep learning framework to produce a large variety of martial arts movements in a controllable manner from unstructured motion capture data. The system can imitate animation layering using neural networks with the aim to overcome challenges when mixing, blending and editing movements from unaligned motion sources. The system can synthesize movements from given reference motions and simple user controls, and generate unseen sequences of locomotion, but also reconstruct signature motions of different fighters. For achieving this task, the dynamic animation generation system can adopt a modular framework that is composed of the motion generator, that maps the trajectories of a number of key joints and root trajectory to the full body motion, and a set of different control modules that map the user inputs to such trajectories.

Aspects of the present disclosure provide improved techniques for detecting the presence of RF anomalies and providing for enhanced user control of RF anomaly detection and related actions. Some aspects relate to detecting an RF anomaly by determining, based on a multidimensional encoding of characteristics of an RF signal, that the RF signal is anomalous compared to a baseline of multidimensional encodings of characteristics of RF radiation received in the operating environment. Some aspects relate to controlling RF anomaly detection by initiating an action in response to selection of an option displayed to a user in a graphical user interface in along with an indication of an RF signal determined to be anomalous compared to a baseline. Some aspects relate to identifying a subset of RF data and determining a presence of an RF anomaly corresponding to the subset by comparing a representation of RF radiation to a baseline.

Aspects of the disclosed technology provide solutions for dynamically controlling user access to computing resources on a need-by-need basis. An example method can include receiving an access request from a user. The access request may specify one or more computing resources to be accessed by the user. The example method further includes retrieving a user profile associated with the user, identifying a policy document specifying one or more user rights policies for the one or more computing resources, and determining, using a machine learning model, whether to grant or deny the access request based on the user profile and the policy document.

The invention relates to the technical field of Internet of Things, and discloses a multi-user equipment access and control method based on a smart cloud platform. The method comprises the following steps: the Internet of Things equipment sends an access request to a smart cloud platform through a network, distributes an access token after verification, and stores equipment information to a cloud database; after the user logs in for the first time, the platform loads a device list according to user account information and a device binding relation, and creates an independent account space; a user sends a control instruction through the terminal, and the platform verifies user permission and converts the instruction into a protocol format which can be recognized by target equipment; the target device executes an operation and feeds back a result, and the platform updates and pushes the result to the user terminal in real time; and the platform continuously monitors the state of the equipment, analyzes and evaluates the state, triggers an early warning mechanism when an abnormity occurs, notifies a user and provides a solution, and the overall efficiency and safety of the system are improved, and the compatibility of multi-user control and the user experience are improved.

The invention provides a virtual human interaction action generation method for unmarked augmented reality equipment, and the method comprises the steps: obtaining a head posture, a hand posture and a first-person visual angle image sequence of a user through a built-in sensor of an augmented reality helmet, and jointly reconstructing a whole-body posture of the user on the basis; generating an interaction action of a virtual human according to the reconstructed user posture; according to the method, the interactive action of the virtual human can be more natural and real and is kept consistent with the actual behavior of the user; in the field of man-machine interaction, the prior art depends on user control and needs additional hardware equipment and manual participation to maintain an interaction process; or depending on predefined conditions, generalization and practicability are poor; compared with the prior art, additional manual intervention and predefined design are not needed, interaction with the natural response virtual human can be achieved only through the lightweight augmented reality helmet, hardware dependence and labor cost are reduced, automation and usability of the method are promoted, and interaction convenience and immersion are improved.

A head gesture control system is provided that enables user control of features associated with a hearable device by using head gestures. The system determines that a movement by a user is a head control gesture designated for a particular adjustment. Various gesture factors are employed in this determination. The head control gesture may be used in combination with other types of device controls, such as tap and voice. A feedback indicator is provided back to the user describing the feature adjustment and enabling the user to ensure proper control is carried out. The user can then make additional or different adjustments or cancel the adjustment, if desired.

The invention discloses a multi-parameter water quality automatic monitoring system based on the Internet of Things, and relates to the technical field of water quality monitoring, the multi-parameter water quality automatic monitoring system comprises a water quality sensor module, a data processing module, a data transmission module, a data analysis module and a monitoring control center which are connected in sequence, the monitoring control center is further connected with the user control terminal, and the user control terminal is further connected with the cloud server; according to the water quality monitoring system, automation, intelligentization and remote water quality monitoring are achieved through the Internet of Things technology, a plurality of water quality parameters can be accurately collected and analyzed in real time, water quality abnormal conditions can be found in time, early warning is given out, powerful technical support is provided for water environment protection and management, and the water quality monitoring system has wide application prospects and remarkable social benefits.

The invention relates to a wafer bearing platform lifting system and a method for lifting a wafer bearing platform, in particular to a system and a method for realizing accurate alignment of a wafer and a photomask in a semiconductor lithography process. The system comprises a wafer bearing table, a photomask bearing table, a plurality of linear actuators, a plurality of range finders and a controller. The wafer bearing table is used for bearing a wafer, and the photomask bearing table is used for bearing a photomask. In addition, the linear actuator is used for adjusting the wafer bearing table, and the distance measuring instrument is used for measuring the height of the surface of the wafer. The controller is configured to measure the height of multiple points on the surface of the wafer, adjust the level of the wafer, calculate the distance between the wafer and the photomask, and lift the wafer bearing table to make the wafer contact with the photomask. The invention provides a semiconductor manufacturing method which improves accuracy, efficiency and user control.

An adaptive stimulation system optimizes pain relief, pleasure enhancement, and healing through closed-loop physiological effectiveness monitoring. The system comprises a stimulation device, sensors measuring physiological responses indicative of stimulation effectiveness, and a processor implementing real-time adaptive control. The system measures unconscious physiological responses that users cannot voluntarily control and involuntary reactions to objectively assess whether stimulation achieves desired outcomes. Through proxy learning, system sensors correlate with sophisticated clinical measurements via machine learning, enabling clinical-grade optimization using accessible devices. The system continuously explores multidimensional parameter spaces to discover optimal stimulation patterns personalized to individual users, automatically adapting parameters based on measured physiological effectiveness rather than subjective user control or preset patterns. Applications include medical devices, wellness products, and intimate stimulation systems.

The invention relates to an automatic micro-area substance identification method and system based on combination of a multi-modal atlas database and artificial intelligence. The method comprises the following steps: constructing a multi-modal microscopic atlas database, obtaining and preprocessing an image to be detected, carrying out intelligent segmentation and pre-recognition on the image, comparing the image with the atlas database to generate a candidate list, intelligently planning EDS point locations based on the candidate list and collecting EDS data, fusing morphology pre-judgment and component data to carry out decision judgment, and generating an analysis report. The system comprises a multi-modal microatlas database, a to-be-tested sample image acquisition and preprocessing module, an intelligent segmentation and pre-identification module, an intelligent analysis planning and EDS data automatic acquisition module, a data fusion judgment module and a user control and interaction module. According to the method, artificial intelligence, a pre-constructed multi-modal knowledge base and a traditional SEM-EDS analysis process are deeply fused, the analysis and cognition process of human experts is simulated and surpassed, the speed is high, and the recognition accuracy is high.

The application provides a three-dimensional terrain generation method, device and system and a storage medium, and belongs to the field of image processing.The method comprises the following steps: constructing an encoder, a generator, a discriminator and a discriminator; encoding each original terrain map through the encoder to obtain an original latent space domain sample; and training each original terrain map and each original latent space domain sample through the encoder and the generator to obtain an original mapping terrain map and a mapping latent space domain sample.The application solves the problems of difficulty in predicting the generated terrain lacking user control, the need for a large number of operations and the appearance of regular grid-like artifacts in the generated terrain, does not require human participation, saves manpower and resources, can accurately capture a real structured conditional distribution and solves the problem of optimization cycle consistency obstacles.