47 results about "Input capture" patented technology

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

The invention relates to the technical field of sensing, and discloses a capacitive touch screen input event classification and processing system which comprises an input capture module, an event classification module, an intention prediction module, a dynamic response module, an energy efficiency optimization module and a multi-channel cooperation module. When an input event of the capacitive touch screen is identified, a dynamic noise suppression model is established, and adaptive filtering strategies are configured for different use scenes, so that the reliability of signal analysis in various electromagnetic interference environments is ensured, and meanwhile, the spatial and temporal distribution characteristics of capacitance variation are analyzed in real time; real touch operation and environmental electromagnetic noise can be effectively distinguished, the identification fidelity of basic operations such as clicking and sliding is ensured, the false triggering rate is reduced, the operation accuracy in a weak signal scene is improved, and when multi-finger operation is detected, the consistency of contact coordinates in a curved surface state and a plane state is maintained, so that the accuracy of the touch operation is improved. And the track continuity of writing and drawing type fine operation is ensured.

Systems and methods for betting on a live sporting event are disclosed. At least one input capture device and at least one user device are in network communication with a server platform. The at least one input capture device collects and transmits live raw data relating to the live sporting event. The server platform receives and aggregates the live raw data relating to the live sporting event from the at least one input capture device. The server platform accesses personal and / or emotional factors for each player in the live sporting event. The at least one user device places at least one bet on at least one aspect of the live sporting event to the server platform via an interactive graphic user interface (GUI) at least based on the live raw data. The server platform determines at least one betting outcome relating to the live sporting event.

Techniques for managing artificial intelligence interactions are disclosed. A large language model (LLM) is trained, including information related to products for sale. The product information resides in a product knowledge base. Users interacting with a synthetic human generate input related to the products for sale through an embedded interface included in a website or application. The user input is captured and the LLM creates responses based on information in the product knowledge base. The responses are used to produce video segments that are presented to the user. The user creates additional input based on the video responses from the LLM. The additional input is evaluated and used to trigger self-improving steps to improve the content of the product knowledge base and the responses generated for the user. The self improving includes quality metrics; self-learning instructions; information gap identification; and information collection from third-party websites, product experts, and sellers.

The invention relates to sensor system arrangements and configurations. In particular, the invention provides methods, devices, systems and computer program products for integrating, compositing and / or processing data representing a measurable state within a region-of-interest, that has been received from a plurality of sensors that respectively have different input sensitivities, spectral sensitivity ranges and / or input capture ranges.

Systems and methods for live sporting event wagering with data security and integrity are disclosed. At least one input capture device and at least one user device are constructed and configured in network communication with at least one computing platform. The at least one input capture device is configured to transmit live input data relating to a live sporting event to the at least one computing platform in real time or near real time. The at least one computing platform is configured to aggregate and analyze the live input data, thereby creating analyzed data. The at least one computing platform is further configured to set odds for wagering in the live sporting event based on the analyzed data in real time or near real time. The at least one user device is configured to display the odds, receive bets, and transmit the bets to the at least one computing platform.

The application belongs to the technical field of vehicle communication, and specifically provides a CAN bus baud rate self-adaptive method, a terminal and a storage medium, which comprise updating a pin multiplexing module configuration, connecting a message receiving pin of a master control chip MCU with an input capture module in the master control chip MCU, initializing the input capture module, and setting a clock frequency to measure the pulse width of a current CAN pulse signal; according to a preset baud rate matching table, the upper and lower limits of the pulse width corresponding to each baud rate and the overall upper and lower limits are calculated; by directly measuring the pulse signal width on the CAN bus and combining the preset baud rate matching table, the application can quickly narrow the baud rate search range, reduce the number of unnecessary attempts, thereby significantly shorten the time required for the self-adaptive process, and improve the system startup speed and response capability.

The application discloses a synchronization method for servo communication and motor control of an EtherCAT bus, which comprises the following steps: a mapping relationship between a control period of an auxiliary timer and a PWM signal generator is established, and a physical synchronization signal Sync0 of the EtherCAT bus is mapped as an external trigger source of an input capture unit; when a valid jump edge of the physical synchronization signal Sync0 is detected, the current instantaneous count value of the auxiliary timer is locked into a capture register by the input capture unit without intervention of a software interrupt, so as to form a reference time stamp; the reference time stamp is read in an interrupt service of a servo control period, a phase offset is calculated based on a target phase relationship between the reference time stamp and the physical synchronization signal Sync0, and the reloading value of the PWM signal generator in the next control period is dynamically modulated according to the phase offset.

The invention belongs to the technical field of avionics, and provides an inductive proximity sensor resolving system and method based on a low computing power platform, and the system takes an embedded microcontroller which is not provided with a floating point coprocessor or cannot execute a DFT algorithm in real time as a main control module. The inductance measuring module is formed by connecting an inductance type proximity sensor and a reference resistor in series; the signal generating and conditioning module is used for providing a sine constant-voltage excitation signal; two paths of input of the zero-cross detection module are respectively connected with an excitation signal end and a node between the sensor and the reference resistor, and output of the zero-cross detection module is connected with an input capture pin of the main control module; the input of the effective value detection module is connected with two ends of the sensor, and the output is connected with the analog input pin of the main control module. The system directly calculates the inductance value through a time domain amplitude phase fusion model, does not need frequency domain transformation, remarkably reduces the requirement for the MCU computing power, and is suitable for safety key scenes such as undercarriage position detection and the like.

The invention relates to the technical field of electric energy metering and communication, and discloses an efficient electric energy meter multi-Mcu data synchronization method, which comprises the steps that a master control MCU generates a PWM addressing signal matched with a preset identity feature of a target metering core and broadcasts the PWM addressing signal; the metering core analyzes the signal through an input capturing unit, and if the signal feature is matched with the preset identity feature of the metering core, the metering core is activated; the activated metering core sends a data frame through a shared data bus constructed based on a collector open circuit in an exclusive reporting time window; and the main control MCU receives the data frame and completes acquisition and management. According to the invention, the PWM frequency and the duty ratio are used as the composite identity identification, broadcast addressing can be realized without independent chip line selection, and a hardware circuit is simplified; by combining a time window mechanism of time domain isolation and line and logic, the problem of data conflict reported by multiple slaves is solved, and the stability and acquisition efficiency of the system are improved.

The invention discloses a synchronization method for servo communication and motor control of an EtherCAT bus, and the method comprises the steps: building a mapping relation between an auxiliary timer and a control period of a PWM signal generator, and mapping a physical synchronization signal Sync0 of the EtherCAT bus into an external trigger source of an input capture unit; when an effective jump edge of a physical synchronization signal Sync0 is detected in response, an input capture unit is used for locking a current instantaneous count value of an auxiliary timer into a capture register in real time under the condition that software interruption intervention is not carried out, and a reference timestamp is formed; the method comprises the steps of reading a reference timestamp in an interrupt service of a servo control period, calculating a phase offset based on a target phase relationship between the reference timestamp and a physical synchronization signal Sync0, and dynamically modulating a reloading value of a PWM signal generator in a next control period according to the phase offset.

The method and system improves upon standard user interaction by supplementing user interfacing and computer operations based on dynamic analysis of content including detecting a user capture a portion of the output via further user input from one of the plurality of input devices, a visual focus on the portion of the output. The method and system includes electronically processing the user capture to determine a content within the portion of the output within the visual focus and dynamically generate a secondary display element visible to the user as part of the output, the secondary display element including a user interface display for receiving additional user input including at least one input command. The method and system includes accessing at least one artificial intelligence processing system for performing a processing operation in response to the at least one input command and generating an updated output for the user.

A scrolling screenshot method and an apparatus, the method including displaying, by an electronic device, a first interface that displays a first part of a first page, receiving, by the electronic device, a first input, capturing the first part of the first page in response to the first input, scrolling, by the electronic device in a first direction for display, and capturing a second part of the first page, where the first part is adjacent to the second part, scrolling, after the electronic device captures the second part, by the electronic device, in a second direction, for display, and capturing a third part of the first page, where the second direction is different from the first direction, determining that a first condition is met. and synthesizing a target screenshot image in response, where the target screenshot image comprises the first part, the second part, and the third part.

Various embodiments are directed to apparatuses, methods, computer-readable media, computer program products, and systems related to simulated training and performance analysis. In some embodiments, the method may comprise causing, by one or more processors, display of real-time interactive media content to a user; receiving, by one or more processors, one or more audiovisual inputs captured in association with the user; causing, by one or more processors, the real-time interactive media content to interact with the user in real time by generating and displaying one or more audiovisual responses to the one or more audiovisual inputs; applying, by one or more processors, the one or more audiovisual inputs into a multimodal performance analysis engine to generate one or more performance analysis data objects; and generating, by one or more processors, one or more visual feedback interfaces based at least in part on the one or more performance analysis data objects.

System (100) for personalizing service interactions, wherein the system (100) comprises: an input capture module (104) configured to receive user input in at least one modality; a coding module (106); a multimodal embedding generation module (108) configured to generate cross-modal representations; a context analysis and intent inference module (110) configured to determine the user's intent and the context state; a response planning module (112) configured to generate a personalized response using generative artificial intelligence; an artificial intelligence analysis module (114) configured to generate interpretability information for the planned response; a review and validation module (116) configured to perform ethical and political validation; a response generation and delivery module (118) configured to produce a final multimodal response; and a feedback capture, learning and secure logging module (120) configured to update the system based on feedback.

The application discloses a nursing education traceable, interpretable and verifiable large model intelligent teaching assistant system and method, which comprises an input capture and semantic analysis module, a multi-source knowledge retrieval and versioned traceability module, an executable reference and piece-by-piece binding module, a causal evidence graph and structured explanation generation module, an evidence consistency and counterfactual stability verification module, and a replayable decoding and evidence storage module; the input analysis module generates a standardized problem template and risk level information; the knowledge retrieval and traceability module outputs a candidate evidence set with source segment fingerprints; the information binding module binds answer units and evidence fingerprints to generate reference mapping; the causal evidence graph module constructs a structured explanation graph; the multi-dimensional verification module performs logical consistency and counterfactual stability tests and outputs verification results; and the decoding and evidence storage module stores replayable decoding information. The application realizes answer segment level traceability, structured machine verifiable explanation and deterministic result replay through the construction of a modular system.

The purpose of the present invention is to facilitate model construction for identifying the position of an affected area based on an input captured image.　In a CPU of a physician terminal constituting an information processing system, when an operation reception unit 53 receives an operation for designating a region of an affected area included in a captured image of a part of a human body, the image being captured using a prescribed image-capture procedure, in a CPU 11 of a management server 1, a generation means 33 generates information about a change designation region obtained by changing a designation region designated by the received operation, and a learning unit 35 performs training in the generated information about the change designation region.

A vehicle including a detection unit and a processor is disclosed. The detection unit may be configured to capture inputs associated with a road in proximity to the vehicle. The processor may be configured to detect a presence of a fluid on the road and a presence of an object in proximity to the fluid based on the inputs captured by the detection unit. The processor may further determine at least one of an object height or an object distance from the vehicle based on the inputs, and calculate a fluid depth on the road based on the object height and / or the object distance. The processor may further perform a predefined action responsive to determining that the fluid depth may be greater than a predefined depth threshold.

The invention relates to the technical field of data processing, and discloses an end-to-end delay optimization method and system for a cloud terminal. The method comprises the following steps: performing three-layer coupling delay decomposition on a cloud desktop rendering data stream to obtain input capture, graphic rendering and transmission delay; calculating desktop frame complexity and terminal interaction strength parameters based on the frame buffer pixel data; constructing a cloud desktop session delay state set; carrying out cloud resource allocation through a Markov decision algorithm to obtain a GPU allocation scheme and transmission priority configuration; and performing closed-loop adjustment and optimization on resource configuration according to the delay error value. The technical problem that an end-to-end delay intelligent optimization mechanism based on frame-level prediction and Markov decision cannot be established by an existing cloud terminal system is solved.

The invention relates to the technical field of ultrasonic motor testing, and discloses an ultrasonic motor rotating speed measuring system based on a TMR sensor, which comprises a standard motor assembly, a displacement table, the TMR sensor, a thermocouple and a single chip microcomputer. A synchronous port of the signal generator is connected with an input capture port of a timer of the single chip microcomputer, analog-to-digital conversion is started through hardware trigger signals, and the TMR sensor is synchronously sampled when the edge of a driving signal arrives. The single-chip microcomputer executes off-line calibration to construct a driving temperature rotating speed three-dimensional mapping model, reconstructs a signal base line by using temperature drift parameters during on-line measurement, predicts the rotating speed according to the model, dynamically sets the cut-off frequency of a band-pass filter, verifies the health degree in combination with multi-physical-quantity coupling, and generates a pulse sequence through self-adaptive hysteresis threshold logic to solve the rotating speed. According to the invention, software trigger time sequence jitter is eliminated, high-frequency electromagnetic interference and temperature drift are effectively suppressed, and the precision and robustness of non-contact rotation speed measurement are improved.

The application provides a wheel speed sensor jitter suppression method, system and device, and belongs to the technical field of sensor control. The wheel speed sensor jitter suppression method comprises the following steps: a hardware input capture module of a microcontroller is used to configure a double-edge trigger mode, to capture the rising edge and falling edge of a wheel speed square wave signal in real time and trigger a capture interrupt; in a service subprogram of the capture interrupt, the time stamp of each rising edge and falling edge is recorded, and the high level duration and low level duration in a single pulse period are calculated accordingly; according to the high level duration and the low level duration, the actual duty cycle of the current pulse period is calculated, the actual duty cycle is compared with a preset nominal duty cycle tolerance range, and a duty cycle verification result is generated.

The invention relates to the technical field of computer image processing, and discloses a screen capture method and device.The method comprises the following steps that interface elements on a screen are intelligently recognized through a capture instruction input by a user, a preset capture area is automatically recommended, and meanwhile the user can manually adjust the capture area; the method comprises the following steps: after dynamic content capture is carried out on a scrolling page or a video, generating a long screenshot or recording a GIF or a video clip with a specified time length by splicing a plurality of pictures; applying a super-resolution algorithm to long screenshots, GIF or video clips to optimize image quality and remove moire and noisy visual flaws; through a real-time editing function and gesture operation, a storage path or a sharing platform is automatically recommended according to historical operation or content characteristics of a user. By integrating a multi-mode trigger recognition mechanism, including voice, gesture, shortcut key and floating button operation, the screen capture instruction accurate response of a user in different use scenes is realized, and the effects of uniform operation inlets and flexible trigger modes are obtained.

A system and methods for processing chord-based input sequences and managing context-aware command execution. A server receives and processes input from at least one client device. An input capture module receives keypress events from a human input device and filters input signals. A chord recognition module analyzes whether a keypress sequence constitutes a recognized chording pattern based on predefined rules, including modifier-based chording, simultaneous non-modifier keypresses, release-based execution, and time-based chording. A sheet management module assigns a command sheet based on the active application or computing context. A sheet stack manager prioritizes command sheets, with the highest-priority sheet determining execution when multiple layers are active. A command execution module processes system or application commands based on the recognized chording pattern. A storage module maintains user-defined chording configurations, sheet mappings, and adaptive learning data to optimize future command execution.

The present application relates to a kind of electric energy meter RS-485 communication baud rate self-adapting method and electric energy meter, method includes S1, based on input capture channel, the current timing level waveform diagram corresponding to the current data frame of bus transmission is obtained, the current timing level waveform diagram includes the multiple start symbol data bits corresponding to the start symbol of current data frame;S2, based on current timing level waveform diagram, current baud rate is obtained by calculation;S3, based on current baud rate, current timing level waveform graph is carried out soft decoding to obtain current soft decoding result;S4, if current soft decoding result is correct, current baud rate is determined as communication baud rate and executes step S5, otherwise returns to execute step S1 to obtain the timing level waveform diagram corresponding to the next data frame of bus transmission;S5, with the communication baud rate of determination carries out the transceiver of subsequent bus data.The present application can realize the fast self-adapting of arbitrary baud rate, and anti-interference ability is strong, data reception is complete.

The invention relates to the field of power monitoring, and discloses a multi-protocol compatible power monitoring terminal adaptive access system, which comprises a physical perception adaptation module connected to a communication interface pin; the protocol analysis core module is connected with the physical perception adaptation module and used for receiving byte stream data from the physical perception adaptation module and executing state transition matching in the heterogeneous protocol finite-state machine; the protocol analysis core module comprises a dynamic framing control unit and a baud rate inversion correction unit; and the service standardization module is connected with the protocol analysis core module. A primary estimation baud rate is obtained by using an input capture technology through a physical perception adaptation module, and a baud rate inversion correction unit is combined to reversely calculate a correction baud rate based on an error code position and a phase error accumulation model, so that an effect of establishing stable connection under an unknown communication rate and a non-standard clock frequency is achieved.

Systems and methods for betting on a live sporting event are disclosed. At least one input capture device and at least one user device are in network communication with a server platform. The at least one input capture device collects and transmits live raw data relating to the live sporting event. The server platform receives and aggregates the live raw data relating to the live sporting event from the at least one input capture device. The server platform accesses personal and / or emotional factors for each player in the live sporting event. The at least one user device places at least one bet on at least one aspect of the live sporting event to the server platform via an interactive graphic user interface (GUI) at least based on the live raw data. The server platform determines at least one betting outcome relating to the live sporting event.

The invention relates to the technical field of behavior data credibility evaluation, in particular to a behavior data credibility evaluation system based on time sequence row feature fusion, which is characterized in that an input capture unit captures year and month sub-node input time sequence data of starting and ending time of a project filled by a user in real time; the interrupt monitoring unit detects a system pop-up window and a user active pause as external interrupt, and records an interrupt duration and a continuous filling starting point, and the feature fusion unit performs dynamic time sequence window segmentation and cross-modal alignment; a time sequence behavior feature vector containing a year priority mark, a month lagging time consumption ratio, a cross-year modification time consumption effect difference value and a continued time consumption deviation rate is generated, a credibility evaluation unit judges a behavior mode by means of a four-dimensional decision matrix, a bidirectional threshold comparison and scoring algorithm is detected through a logic fault, a filling behavior authenticity probability value is output, and the filling behavior authenticity probability value is calculated. And the output feedback unit feeds back the probability value to the evaluation system according to sectional risk mapping, so that risk domain differentiation warning is realized, and the credibility evaluation precision is improved.

The present invention relates to a three-parameter measurement method for turboprop based on priority and multi-tooth threshold pairing, belonging to the field of aero-turboprop engine control. The method disclosed by the present invention is as follows: install and adjust a tone wheel (4), a magnetic induction probe (5) and a signal processing module (6), the tone wheel (4) is coupled to the propeller, and the magnetic induction probe (5) can generate signals in response to the passing of a plurality of regular teeth, a first marker tooth (2) and a second marker tooth (3) on the tone wheel (4); set a fixed-frequency trigger source on the signal processing module (6) and connect it to the input capture terminal in hardware, so that obtaining the current measurement moment event is upgraded to a background high-priority interrupt event; use the multi-tooth threshold sequence pairing method to identify specific delays, phase angle reference moments and expected delays from the signals, and calculate the pitch angle, phase angle and rotational speed of the propeller respectively. The present invention improves the accuracy of the acquisition moment by using the real-time performance of the background interrupt, solves the problem of the phase angle measurement dead zone and multi-parameter coupling interference, and improves the measurement accuracy and real-time performance.

The invention discloses a full-speed-domain adaptive speed estimation method and system for a sweeper structure, and the method comprises the steps: calculating a pulse variable quantity based on an accumulated count value of an encoder in each control period, carrying out the accumulation of a time reference when the pulse variable quantity is detected to be zero, and carrying out the calculation of the time reference when the pulse variable quantity is detected to be not zero. Calculating a first speed estimation value based on the accumulated time reference and the pulse variation; meanwhile, a second speed estimation value is calculated based on the pulse variation in the fixed control period. And determining fusion weights corresponding to the two speed estimated values according to the current running state of the vehicle, performing weighted fusion on the fusion weights, and outputting the current running speed of the vehicle. Through the above mode, continuous and stable speed estimation of the unmanned sanitation vehicle in a full speed range from a low speed to a high speed is realized without an additional timer or input of capture hardware resources, the sudden change of the speed is effectively avoided, and the control stability and the operation reliability of the whole vehicle are improved.

A system and methods for processing chord-based input sequences and managing context-aware command execution. A server receives and processes input from at least one client device. An input capture module receives keypress events from a human input device and filters input signals. A chord recognition module analyzes whether a keypress sequence constitutes a recognized chording pattern based on predefined rules, including modifier-based chording, simultaneous non-modifier keypresses, release-based execution, and time-based chording. A sheet management module assigns a command sheet based on the active application or computing context. A sheet stack manager prioritizes command sheets, with the highest-priority sheet determining execution when multiple layers are active. A command execution module processes system or application commands based on the recognized chording pattern. A storage module maintains user-defined chording configurations, sheet mappings, and adaptive learning data to optimize future command execution.