35 results about "Visual Feedbacks" patented technology

The invention relates to the technical field of carbon emission, and discloses a multi-source data fused personal carbon footprint real-time visual feedback system, which comprises a data acquisition module used for acquiring multi-source heterogeneous data from a plurality of independent data sources and representing user behaviors in real time; the processing module is connected with the data acquisition module and is used for carrying out real-time estimation on a composite state vector based on a preset state space model according to the multi-source heterogeneous data, and the composite state vector at least comprises a current activity state of a user and personalized carbon emission factors representing emission characteristics of the user; and calculating the personal carbon footprint based on the estimation result of the composite state vector. According to the method, the unified dynamic state space model is constructed, and the activity state, the physical parameters and the personalized emission factors of the user are integrated into the composite state vector for joint real-time estimation, so that the real-time performance, the continuity and the accuracy of personal carbon footprint accounting are remarkably improved.

The invention relates to the field of digital cultural heritage processing and man-machine interaction, and discloses a farming and nomadism digital symbol interactive experience system, which comprises an attribute propagation module used for calculating an organizational form attribute value representing a continuous pedigree state of a symbol between a farming ordered system and a nomadism free system; the correlation calculation module is used for constructing a correlation graph containing a time sequence evolution relationship based on the attribute value; the manifold evolution engine is used for constructing a mixed potential energy field formed by superposition of grid adsorption potential energy and free interaction potential energy, and adjusting sign stress parameters and motion trails according to attribute values; and the adaptive rendering module is used for generating a symbol form and visual feedback according to the attribute value and the association weight. According to the method, logic attributes are mapped into physical potential energy field weights and rendering parameters, so that continuous dynamic expression and visual interaction of historical symbols from a grid structure to a manifold structure are realized.

The tire pressure control with visual feedback notifications includes a proximity sensor, operative with a tire pressure supply hose. A sensory and feedback unit (SFU) is removably attached intermediate the tire stem and the supply hose stem pneumatic coupler. The SFU has a first pneumatic coupler adapted to be removably attached to the vehicle tire stem. When attached, inflation air is supplied through an SFU pneumatic passage. A controller reads pressure PS via a sensor on the passage and determines, in some cases, over-pressure, under-pressure and recommended tire pressure PRI. When PS equal PRI, controller enables illumination of one or more lights on the SFU. A user interface (UI) sets the PRI in the controller memory. Power is a replaceable battery, a rechargeable battery and the SFU may have a kinetic generator for power.

The invention belongs to the technical field of automatic welding and industrial robot control, and relates to a welding pool state monitoring and control method and device based on visual feedback. The method comprises the following steps that an industrial camera is controlled to conduct position translation, and a to-be-welded area enters the effective view field of the industrial camera; in the welding process, continuous image collection is conducted on a welding area, and multiple welding images are obtained; performing weighted fusion on the plurality of welding images to obtain a fused image, and preprocessing the fused image to obtain a preprocessed image; molten pool state recognition is carried out based on the preprocessed image, and current molten pool state parameters and corresponding welding defect information are obtained; comparing the current molten pool state parameter with a preset target parameter of the molten pool to obtain a state deviation, and generating a corresponding driving instruction according to the state deviation; and performing multi-stage attitude adjustment and fine positioning control on the industrial camera based on the driving instruction, so that the welding pool is kept at the optimal observation visual angle.

A fishing float system and control method, comprising a float module and a mobile terminal, wherein; the float module comprises a waterproof shell and an electronic cabin, the electronic cabin is arranged inside the waterproof shell, the waterproof shell is used to avoid the electronic cabin from being flooded; the electronic cabin is provided with a main control module, a Bluetooth, a motion sensing module, a visual feedback module and a power module, wherein; the main control module is electrically connected with the Bluetooth; the main control module is electrically connected with the motion sensing module, and the motion sensing module is used to sense the motion state of the float; the main control module is electrically connected with the visual feedback module, and the visual feedback module is used to send light signals according to the fish condition; the power module is used to supply power for the main control module; the mobile terminal is communicatively connected with the mobile terminal through the Bluetooth, and is used to receive fish condition event information.

The invention discloses a method for using BFRT equipment for rehabilitation in combination with a visual feedback device, and relates to the field of medicine. Comprising the following steps: screening stroke patients meeting standards; randomly dividing the patients into a combined training group and a single training group; a BFRT pressurization belt is worn at the near end of the thigh on the affected side, an inflation pump is connected to monitor pressure in real time, a visual feedback balance training device is started synchronously, a balance training game is selected, and safety monitoring is conducted in the whole training process; single training group operation: starting a visual feedback balance training device, and selecting a balance training game. Blood flow limitation is combined with visual feedback balance training, and the rehabilitation effect of a patient is observed by comprehensively evaluating the balance function, the lower limb function, the walking ability and the daily life ability of the patient; the thrombosis risk of the patient is observed through blood examination and vein color ultrasound examination, and more basis guidance is provided for rehabilitation training of the stroke patient.

This invention relates to the field of coal quality sampling technology and discloses an optimized control method for a coal quality sampling device. The method involves detecting a vehicle carriage positioning signal, acquiring a set of structural feature parameters and a set of coal surface images of the target carriage based on a camera, generating a coal quality heterogeneity distribution map of the target carriage based on historical coal quality sampling datasets, generating a candidate sampling point location matrix based on the structural feature parameter set and the coal quality heterogeneity distribution map, performing a spatial representativeness assessment on the candidate sampling point location matrix to obtain a sampling representativeness index, determining that the sampling representativeness index is higher than a preset sampling start threshold, generating a sampling execution path planning vector based on the candidate sampling point location matrix, executing coal quality sampling operations according to the sampling execution path planning vector, collecting a sample set and process visual feedback streams, and combining spatial representativeness assessment with a closed-loop quality verification mechanism to avoid collisions with the coal-carrying vehicle, thereby achieving adaptive optimization of sampling points and dynamic assurance of sampling effectiveness.

1. The name of this design product: Graphical user interface for voice training of electronic devices. 2. Purpose of this design product: for use in an electronic device. 3. The key design feature of this design product lies in the graphical user interface displayed on the electronic device. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. Designate Design 1 as the base design. 6. Purpose of the Graphical User Interface: This graphical user interface is used for voice training, and it can provide visual feedback of voice tone and emotions through virtual avatars. The main view of Design 1 is the initial interface of voice training. Users can upload voice by clicking the record button at the bottom of the interface. The virtual avatar in the lower left corner of the interface will change the corresponding expression according to the tone and emotion of the uploaded voice, as shown in the interface change status diagram of Design 1; The main view of Design 2 is the initial interface of voice training. Users can upload voice by clicking the record button at the bottom of the interface. The virtual avatar in the lower left corner of the interface will change the corresponding expression according to the tone and emotion of the uploaded voice, as shown in the interface change status diagram of Design 2; The main view of Design 3 is the initial interface of voice training. Users can upload voice by clicking the record button at the bottom of the interface. The interface The virtual avatar in the lower left corner will change its expression according to the tone and emotion of the uploaded voice, as shown in the interface change state diagram of Design 3; the main view of Design 4 is the initial interface of voice training. Users can upload voice by clicking the record button at the bottom of the interface. The virtual avatar in the lower left corner of the interface will change its expression according to the tone and emotion of the uploaded voice, as shown in the interface change state diagram of Design 4; the main view of Design 5 is the initial interface of voice training. Users can upload voice by clicking the record button at the bottom of the interface. The virtual avatar in the lower left corner of the interface will change its expression according to the tone and emotion of the uploaded voice, as shown in the interface change state diagram of Design 5 ; The main view of Design 6 is the initial interface of voice training. Users can upload voice by clicking the record button at the bottom of the interface. The virtual avatar in the lower left corner of the interface will change the corresponding expression according to the tone and emotion of the uploaded voice, as shown in the design 6 interface change state diagram; The main view of Design 7 is the initial interface of voice training. Users can upload voice by clicking the record button at the bottom of the interface. The virtual avatar in the lower left corner of the interface will change the corresponding expression according to the tone and emotion of the voice, as shown in the design 7 interface change state diagram; The main view of Design 8 is the initial interface of voice training. Users can upload voice by clicking the record button at the bottom of the interface. The virtual avatar in the lower left corner of the interface will change the corresponding expression according to the tone and emotion of the voice, as shown in the design 7 interface change state diagram; The virtual avatar will change its expression according to the tone and emotion of the uploaded voice, as shown in the interface change status diagram of Design 8; the main view of Design 9 is the initial interface for voice training. Users can upload voice by clicking the record button at the bottom of the interface. The virtual avatar in the lower left corner of the interface will change its expression according to the tone and emotion of the uploaded voice, as shown in the interface change status diagram of Design 9; the main view of Design 10 is the initial interface for voice training. Users can upload voice by clicking the record button at the bottom of the interface. The virtual avatar in the lower left corner of the interface will change its expression according to the tone and emotion of the uploaded voice, as shown in the interface change status diagram of Design 10.

The invention discloses a laser melting deposition light beam regulation and control device and method for a thin-wall component, and the method comprises the steps: enabling incident laser to sequentially pass through an energy adjustment module, a reflector module and a zooming module, and then to be emitted to the surface of the thin-wall component; the control module is connected with the energy adjusting module, the zooming module and the visual feedback module. The visual feedback module is used for acquiring molten pool state parameters of the thin-wall component, the current deposition position, the component height and the thickness of a deposited layer in real time; the control module is used for generating an energy control signal according to the current deposition position so as to control the energy adjusting module to adjust the energy density of the incident laser; according to the sum of the height of the component and the thickness of the deposited layer, a focusing control signal is generated so as to control a zooming module to adjust the focus position of the emergent laser; the reflector module is connected with the visual feedback module and used for dynamically adjusting beam parameters of incident laser according to the state parameters of the molten pool, and the morphological stability of the molten pool at different positions is improved.

A computer-implemented method provides real-time visual feedback of intraluminal catheter engagement within a luminal organ of a patient. A catheter with electrodes on a distal end assembly is positioned in the organ, and a three-dimensional (3D) model of the internal surface is generated and rendered as a 3D anatomical map. For each electrode, a proximity value indicative of distance to a tissue wall is determined based at least on measured impedance and translated into a graphical attribute value. A continuous proximity visualization feature is formed by sequencing the graphical attributes according to electrode positions, representing proximity variations. The feature is projected onto the 3D anatomical map, creating an integrated graphical representation displayed on a computer display. The visualization is dynamically updated in response to impedance changes, providing real-time feedback on catheter contact with the tissue wall.

The invention provides a method for enhancing multi-user coexistence sense and behavior perception in a VR cooperation environment, and relates to the technical field of VR cooperation. The method for enhancing the multi-user coexistence feeling and behavior perception in the VR cooperative environment comprises the following steps of S1, hardware model selection, S2, a data acquisition layer, S3, a data synchronization layer, S4, an AI intelligent WIM optimization layer, S5, a WIM core interaction layer, S6, a multi-mode feedback layer and S7, an output layer. Aiming at the defects of global and local perception imbalance and single perception dimension in large-scene cooperation of the existing VR cooperation technology, an AI intelligent view adaptation system is constructed, scenes, tasks and interaction intentions are recognized in real time, a global overhead view and a local close-up view are automatically switched, the contradiction between global and local perception is solved, and the real-time interaction of the scene, the task and the interaction intention is realized. Through the synergistic effect of the AI dynamic view and the multi-modal feedback, the single dependence of visual feedback is broken, the information of the collaboration party is accurately transmitted, the coexistence sense and behavior perception ability of multiple users are remarkably enhanced, and the collaboration fluency and immersion are improved.

The application relates to the field of artificial intelligence, and particularly discloses an industrial design parameterized design system with multidimensional simulation feedback, which comprises a parameterized modeling module, a multidimensional simulation module, a simulation agent model construction module, a multidimensional feedback fusion and optimization module, an iterative convergence discrimination module and an interactive visual feedback module; the parameterized modeling module is used for generating an integrated parameterized three-dimensional model containing geometric features, material distribution and topological structure according to input design parameters. The application constructs an integrated parameterized three-dimensional model fusing geometric features, material distribution and topological structure, realizes millisecond-level real-time updating of the model through an incremental constraint solver, adopts an isogeometric analysis method based on NURBS, unifies the discretization process of modeling and simulation, avoids model conversion errors and realizes seamless connection of parameterized modeling and multi-physical field simulation.

The application relates to a residual breathing lamp method for new energy charging, and relates to the technical field of man-machine interaction of new energy vehicles, and comprises the following steps: S1, current power information and current charging mode information of a power battery are acquired in real time; and S2, target color parameters and reference brightness parameters are calculated based on the current power information through a preset color mapping model. According to the application, the power of 0%-100% is continuously and steplessly mapped into color gradation from red to green through a high-precision color mapping model, and 65536-order smooth color transition is realized by means of 16-bit PWM control technology, so that subtle power changes can also bring delicate and soft visual feedback. Meanwhile, the method integrates an adaptive intelligent adjustment function: the rhythm of the breathing effect dynamically changes according to different modes such as fast charging and slow charging, and the charging speed is vividly reflected; and the display brightness is automatically adjusted according to ambient light, so that the display is not dazzling in dark light and is clearly visible in strong light.

The invention discloses a man-machine interaction system and interaction method based on flexible electronic perception and display, and relates to the field of data processing and man-machine interaction. The flexible sensing module is used for acquiring physical interaction information of a user at a user side in real time and collecting a generated multi-mode interaction signal; the signal processing and decision-making unit is used for carrying out preprocessing and feature analysis on the multi-modal interaction signal to extract feature parameters, outputting an identification result according to the feature parameters by adopting an action identification model, and generating a control instruction according to the identification result; the flexible display module drives a display pixel unit at a corresponding position based on the multi-mode interaction signal according to the display driving instruction so as to change brightness, color or display patterns and carry out dynamic visual feedback display; and the execution module drives external execution equipment to perform execution operation according to the execution control instruction. According to the invention, the naturalness and reliability of human-computer interaction can be improved.

The invention discloses a man-machine interaction system based on wearable equipment, and relates to the technical field of wearable equipment, and the man-machine interaction system comprises an environment data identification module, a visual and auditory analysis module and a tactile feedback starting module. Evaluating the stability index of each part of the intelligent helmet during the industrial production operation, screening each abnormal part, releasing test dynamic objects and test abnormal sound information by the intelligent helmet, collecting visual and auditory feedback data of each abnormal part, analyzing the visual and auditory feedback index of each abnormal part of the intelligent helmet during the industrial production operation, and obtaining the visual and auditory feedback data of each abnormal part. Monitoring failure or false alarm caused by defects of equipment is avoided, whether visual and auditory feedback of abnormal parts is abnormal or not is judged, if yes, tactile feedback of all the abnormal parts is started, feedback is conducted according to the abnormal parts, accuracy is improved, an operator can rapidly position the problem direction, and the working efficiency is improved. The panic or misoperation caused by the fact that the abnormal source cannot be determined is avoided, and the accuracy and safety of danger response are improved.

The invention relates to the technical field of image detection, in particular to an image detection system and method based on multi-modal feature fusion, and solves the problems that in an existing image detection process, target recognition and classification are generally performed by depending on single-modal data, and feature extraction and detection cannot be performed on multi-modal image data. Comprising a data collecting and processing module, a feature extraction module, a multi-mode fusion module, a self-detection execution module and a visual feedback module, wherein the data collecting and processing module is used for uniformly processing original data from sensors in different modes and executing size normalization, color space conversion and noise removal on the original data; the data collecting and processing module is composed of a data loader, a modal standardizing device, a modal adaptation layer and a parallel CNN encoder. According to the invention, through image feature extraction, importance of each modal input can be dynamically weighted by using an attention guiding mode, and accuracy and efficiency of image detection are improved.

To provide a position adjustment device in which even when vibration occurs in a target object, visual feedback control of adjusting the position of the target object to a target position using a captured image can be stably and properly performed.SOLUTION: A position adjustment device 1 includes a placement unit on which a target object is placed, a stage servo circuit 131 that drives the placement unit to change the position of the target object, an acceleration sensor 14 that detects the vibration of the target object, a vibration processing unit 124 that detects the cycle of the vibration on the basis of a detection signal from the acceleration sensor 14, and a signal generation unit 12 that, during visual feedback control of moving the target object to a target position, acquires a captured image from a camera 11 capturing the target object at an acquisition timing based on the cycle of the vibration, generates a control signal for moving the target object to the target position from the acquired captured images, and sequentially outputs the generated control signals to a driving unit.SELECTED DRAWING: Figure 3

The embodiment of the invention discloses a preparation method and a control method of a touchpad module capable of providing visual feedback, and relates to the technical field of touchpads. Comprising the following steps: sequentially preparing a patterned first electrode layer, an electrochromic material layer, an ion channel layer, a piezoelectric material layer and a second electrode partition arranged corresponding to the first electrode partition on a cover plate glass substrate, and finally covering an insulating layer and bonding with a PCBA (Printed Circuit Board Assembly) through a bonding layer. The PCBA controls the corresponding electrode subareas to apply voltage by recognizing touch coordinates, and reversible color-changing response of the electrochromic material is achieved in cooperation with ion transport generated by the piezoelectric material under the action of pressure. The touch module prepared by the method has an ultrathin integrated structure, can accurately follow a touch track to provide local dynamic visual feedback, is high in response speed and low in power consumption, does not need a traditional light guide structure, effectively considers the requirements of visual interaction and equipment lightening and thinning, and remarkably improves the man-machine interaction experience.

The invention relates to the technical field of fuel cell manufacturing, and discloses a full-automatic robot stacking and servo press-fitting forming process of a phosphoric acid fuel cell stack, and the process comprises the following steps: executing base material initialization and quantitative acid coating; a visual detection unit is used for extracting coating features and calculating a coating distribution density index; a robot execution unit is controlled through multi-stage visual feedback to complete assembly initial positioning and visual servo fine positioning; when the stacking reaches a preset period, the central control unit calculates a corrected target displacement according to a coating distribution density index, and drives the servo press-fitting module to execute self-adaptive press-fitting based on feedforward compensation; and repeating the steps until the whole pile is finished. According to the method, the mapping relation between the optical characteristics of the coating and the press-fitting displacement is established, so that the microscopic difference of the coating thickness is effectively compensated, the fluctuation of the contact resistance is eliminated, the closed-loop monitoring of the whole-flow data is realized, and the assembly precision and the performance consistency of the galvanic pile are remarkably improved.

The application provides a symbol input method based on a knocking gesture recognition, and relates to the technical field of human-computer interaction, which comprises the following steps: collecting an original knocking gesture signal through a sensor, and preprocessing the original knocking gesture signal to obtain a knocking gesture signal; performing gesture recognition based on the knocking gesture signal to determine a knocking gesture, wherein the knocking gesture comprises a knocking finger combination on a knocking plane and a knocking posture of each knocking finger; mapping the knocking gesture into a symbol by using a preset symbol mapping table, and displaying visual information corresponding to the symbol on a display device. The application adopting the above scheme does not depend on visual feedback, improves the efficiency and accuracy of symbol input, and provides rich gesture experience for users.

The invention discloses an autonomous mobile platform adaptive control method and system fusing multi-modal feedback and visual thinking chain reasoning, and the method comprises the steps: abstracting environment data collected by a plurality of sensors and perceptron in real time into a structured expression through an expert abstraction unit, and inputting the structured expression and user voice instruction information into a large language model; and the large language model generates a segmented dynamic reinforcement learning dense reward function. A mixed attention mechanism of visual thinking chain reasoning is adopted, multiple candidate paths and corresponding sub-target image sequences are generated through autoregression, and visualization is carried out through a human-computer interface. A user can feed back a correction instruction through voice and feed back a correction target visually. And finally, performing feature alignment on the multi-modal feedback of the user, updating the dense reward function and re-planning the path. The system can also record a user feedback result and train a personalized user preference model. The method has the advantages of strong generalization ability, high feedback efficiency and the like.

The disclosed computer-implemented methods and systems can generate and implement feedback signatures including feedback signals that can convey—on a display screen device—the occurrence of a particular event relative to a video game. For example, the disclosed methods and systems can generate feedback signatures including combinations of visual feedback signals, auditory feedback signals, and / or haptic feedback signals. The disclosed methods can further modify generated feedback signatures such that the feedback signatures are specifically tailored to the capabilities of the display screen device and the preferences of the video game player. Various other methods, systems, and computer-readable media are also disclosed.

The present application relates to the technical field of vehicle-mounted intelligent navigation and cloud information processing, in particular to a cloud platform-based vehicle-mounted navigation information feedback processing system and method, which comprises: obtaining touch coordinate data stream and audio data stream with time stamps respectively; blocking synchronous uploading of the two when detecting that network quality is lower than a preset network quality threshold; extracting geometric features and semantic features and combining time offsets to form a space-time intention vector; pushing the vector into a local asynchronous queue and rendering initial visual feedback marks in an asynchronous visual feedback layer; monitoring vector uploading status and confirmation instructions or rejection instructions returned by the cloud, dynamically adjusting confidence according to a preset attenuation model and mapping the confidence to visual display attribute update marks; the present application can maintain low-delay interactive feedback under weak network or no network conditions, reduce uplink load and avoid interface blocking.

The utility model provides a visual feedback mirror, which relates to the technical field of feedback mirrors, and comprises a bottom shell and a feedback mirror body, the inside of the top end of the bottom shell is rotatably connected with a rotating shaft, the top end of the rotating shaft is fixedly provided with a connecting frame, and the bottom end of the rotating shaft is fixedly provided with a first gear; the motor is started, the output end of the motor drives the second gear to rotate, the first gear is meshed with the second gear, the rotating shaft rotates, the connecting frame is driven to rotate, and power is provided for left-right angle adjustment of the feedback mirror body. When the elevation angle is adjusted, the pull rod is pulled downwards to drive the sliding column and the limiting piece to move downwards, limitation on the round block is relieved, the round block is rotated to adjust the angle of the feedback mirror body, and the spring rebounds after the pull rod is loosened to enable the limiting piece to be clamped into the limiting groove. According to the design, the flexibility of angle adjustment of the feedback mirror body is improved, the angle of the feedback mirror body can be flexibly changed according to specific training requirements, and the problem that the feedback mirror body cannot adjust the angle and is difficult to adapt to diversified training scenes is effectively avoided.

The application belongs to the technical field of automatic welding and industrial robot control, and relates to a welding molten pool state monitoring and control method and device based on visual feedback. The method comprises the following steps: controlling an industrial camera to perform position translation, so that a to-be-welded area enters the effective field of view range of the industrial camera; in a welding process, continuously collecting images of the welding area to obtain multiple welding images; performing weighted fusion on the multiple welding images to obtain a fused image, and performing preprocessing on the fused image to obtain a preprocessed image; performing molten pool state recognition based on the preprocessed image to obtain current molten pool state parameters and corresponding welding defect information; comparing the current molten pool state parameters with preset target parameters of the molten pool to obtain a state deviation, and generating corresponding driving instructions according to the state deviation; and performing multi-stage posture adjustment and fine positioning control on the industrial camera based on the driving instructions, so that the welding molten pool is kept at an optimal observation viewing angle.

The invention discloses a three-dimensional hand object interaction action sequence generation method and system based on mixed expert and visual feedback, belongs to the field of hand object interaction action generation, and provides an end-to-end generation architecture, so that end-to-end joint optimization can be realized in a model training stage; by introducing a hybrid expert mechanism and a visual feedback mechanism, the expert groups guided by layered semantics and a double-channel visual feedback mechanism are constructed, so that the different expert groups are specific to different hand-object interaction modes, and meanwhile, the expert network of each expert group is intelligently gated through the visual features of interaction images; accurate capture of fine-grained motion features is achieved, the problem that a general model is difficult to give consideration to global postures and local details is effectively solved, and the quality of generated actions is remarkably improved. Besides, real-time rendered interactive image feedback is adopted, so that the generative network is endowed with physical perception and self-correction capability, and the physical consistency and robustness of interactive actions are remarkably improved.

The application relates to the field of intelligent cockpit human-computer interaction, and discloses a vehicle-mounted graphical interface intelligent agent system based on a multimodal large model and voice interaction, a vehicle-mounted end subsystem and a cloud end intelligent agent subsystem. The vehicle-mounted end subsystem collects voice streams and screen images, and sends the voice streams and the screen images to the cloud end through a full-duplex long connection channel; the cloud end intelligent agent subsystem jointly reasons voice intentions and interface visual elements by using a multimodal large model, generates an operation action sequence, and returns the operation action sequence as a control instruction stream; the vehicle-mounted end analyzes the instruction and converts the instruction into a bottom layer input event to inject the graphical interface. The system adapts to different physical resolutions by using a virtual normalized coordinate system, guarantees the real-time performance of voice by using a transmission queue priority strategy, and realizes the monitoring and self-recovery of operation abnormalities by introducing a visual feedback closed loop mechanism. The application realizes the automatic control of a general graphical interface based on natural language, and improves the intelligent level and generalization ability of vehicle-mounted interaction.

An electronic system and method configured for use with an Pilates exercise equipment, such as Pilates equipment, having a surface supporting the exerciser during an exercise. The system includes a pressure sensitive matrix configured for fitting to the surface of the equipment, to measure pressures exerted by the exerciser on an area of the surface and provide electrical signals indicative of measured pressure values. A multiplexer / scanner is responsive to the electrical signals for collecting the measured pressure values. A processor responsive to the multiplexer output data signals interprets the data, resolves the data into discrete pressure values, assign a color value to each increment of pressure, and arrange the resolved data to a data format conforming to the position of each discrete pressure point on the area of the equipment. A display screen displays graphical images of the pressure values for the exerciser to view during exercise on the equipment.