126 results about "Movement analysis" patented technology

The invention belongs to the field of aquaculture, and particularly relates to an underwater fish multi-target identification, tracking and motion analysis method, the method is based on a multi-target attitude tracking framework based on direction perception, and the framework comprises an improved YOLOv11 model (YOT model) and a directional bounding box attitude tracking module (OPBT module). The YOT model integrates directional bounding box detection and attitude estimation, adopts a task-aligned dynamic detection head structure, and combines a multi-task loss function to realize efficient direction perception detection and key point positioning. The OPBT module is based on an unscented Kalman filter, integrates rotation IoU, angle similarity and body length similarity, and improves identity continuity and occlusion recovery capability in multi-target tracking. The framework is suitable for complex scenes such as high-density fish schools, the real-time processing performance can be kept, meanwhile, the detection and tracking precision can be remarkably improved, and stable and reliable technical support is provided for individual behavior analysis.

The invention discloses a wearable knee joint self-powered sensing system and a use method, relates to the technical field of motion monitoring, and solves the technical problem that a motion detection sensor integrating light weight and a self-powered mode is lacked in the prior art. The motor comprises a stator part and a rotor part which are rotationally arranged, a center shaft penetrating through the stator part is arranged on the rotor part, and the stator part and the rotor part are rotationally connected through the center shaft; and a motion state monitoring module and a self-powered module are sequentially and coaxially arranged at the connecting part of the stator part and the rotor part, so that the rotation angle and direction of the knee joint are accurately detected, and key data support is provided for subsequent motion analysis and health monitoring.

A method for analyzing a ball game motion includes: in response to entering a serving stage, obtaining a motion trajectory of a ball by fitting based on a ball game video acquired; determining a hitting coordinate of a motion subject, a hitting posture of the motion subject, and a landing coordinate of the ball based on the motion trajectory and the ball game video; and obtaining a motion analysis result based on the hitting coordinate, the hitting posture, and the landing coordinate, to display the motion analysis result in real time through a display device.

The invention discloses a non-contact charging pile interaction method and device and a medium, belongs to the technical field of charging piles, and aims to solve the technical problems that non-contact interaction of existing charging piles has certain limitation, user intentions are difficult to understand, and the accuracy of action recognition is low. The method comprises the following steps: performing preliminary wake-up control on a charging pile system to obtain a wake-up control strategy; performing dual verification of the optimal interaction area and the gesture action on the user to obtain an operable control strategy; performing motion analysis on the wrist action of the user, and generating a charging adjustment control strategy based on a charging power value identified by the wrist action; performing security payment control under two-factor authentication on the gesture action of the user to obtain a security payment control strategy; and based on a wake-up control strategy, an operable control strategy, a charging adjustment control strategy, a safety payment control strategy and an environment self-adaptive control strategy, non-contact charging control of the user on the charging pile system is completed.

The invention relates to the technical field of intelligent medical rehabilitation and computer vision, in particular to a muscle-bone rehabilitation posture motion analysis system based on visual recognition. Comprising a visual analysis management center, a motion feature extraction unit, a dynamics inversion unit, a compensation coupling analysis unit, a time sequence conduction unit and a rehabilitation evaluation decision unit. Geometric compliance is analyzed and discriminated through dominant kinematics characteristics; if so, performing visual moment inference consistency analysis by using a dynamic inversion unit; in response to moment discretization, acquiring and analyzing a compensation coupling coefficient and kinematic chain conduction delay respectively; and finally, calculating a compensation evaluation index through multi-dimensional compensation quantitative matching analysis, and generating a recessive compensation or effective driving signal. According to the method, a layered filtering mechanism is constructed, implicit problems are dominated, and the blank of monitoring of the internal force exerting mode in non-contact rehabilitation evaluation is filled up.

The invention provides a coal mine drilling machine drill rod target detection and movement analysis counting method and system and a medium, and the method comprises the steps: collecting an underground drilling video, segmenting frames, and marking the whole drilling machine and a tail boundary frame; a multi-level feature extraction module MCFN is added in front of a YOLO model C2F module, and a detection model is trained and optimized; the whole drilling machine and a tail frame are detected frame by frame, four areas are divided based on the center of the whole frame, the overlapping area of the tail frame and two diagonal areas is calculated, and the high-frequency direction is counted through a sliding window to determine the working direction; dynamically adjusting a forward / backward area ratio according to a tail / overall frame area ratio, and diagonally dividing a dynamic area along a working direction; the tail is initialized to be in a backward state, a forward / backward counter is triggered through the center point position of the tail, and when a certain counter reaches a threshold value, the moving state is switched; when the state is switched from advancing to retreating, the number of the drill rods is plus 1, and the video is circularly processed until the operation is finished. According to the method, multi-stage features and dynamic region division are fused, and accurate counting of the drill rods in the underground complex environment is achieved.

The invention relates to a motion function data acquisition method and system based on human-computer interaction. The motion function analysis method is applied to a motion function analysis device and comprises the steps that in response to an initial position instruction of an abnormal object, initial motion analysis is conducted based on historical treatment data of the abnormal object, and initial motion data is presented; when the corresponding initial body image is detected, pose analysis is executed, and a body condition labeling box is displayed to a labeling person. After annotation confirmation is received, carrying out movement analysis in combination with annotation data and historical treatment data, and outputting action change data; and if the current body image corresponding to the current body image is detected, taking the current body image as a new initial image, and repeating the pose analysis and labeling process. And until an annotation stop instruction is received, the system summarizes each annotation and historical treatment data to carry out object function analysis, and motion function data of the abnormal object is generated. By adopting the method, the accuracy of understanding the current abnormal information of the abnormal personnel can be effectively improved.

The invention discloses a motion analysis method and device based on sound feature recognition, a terminal and a medium, and the method comprises the steps: when a user moves, determining a sound feature period based on a sound signal collected in real time by a sound collection module, the sound feature period being used for reflecting a change rule of the sound signal, the sound acquisition module is arranged on one side of the motion auxiliary equipment; based on the sound characteristic period, determining a gait period corresponding to the sound characteristic period, the gait period being used for reflecting a gait rule of user motion; and based on the sound characteristic period and the gait period, determining the motion posture of the user. According to the method, the motion posture of the user can be accurately analyzed, and the analyzed motion posture can be used for controlling motion auxiliary equipment or recording motion habits of the user, so that the motion safety of the user is better guaranteed.

To provide a motion analysis device that can be used for evaluating a motor function or motion disorder.SOLUTION: A motion analysis device (20) includes elbow flexure ratio calculation means (222) for calculating an elbow flexure ratio of an upper limb in elevation exercise which is expressed by an expression (1) or an expression (2) from respective three-dimensional coordinate data of the shoulder, elbow, and hand of a person to be evaluated when the person to be evaluated is in upper limb elevation exercise. In the expression (2), SH represents a vector from the shoulder to the hand, SE represents a vector from the shoulder to the elbow, and EH represents a vector from the elbow to the hand.SELECTED DRAWING: Figure 1

The invention provides a regional anesthesia puncture path planning method and system under ultrasonic guidance, and relates to the technical field of ultrasonic image.According to the regional anesthesia puncture path planning method and system, dynamic motion information of a tissue structure is obtained by collecting ultrasonic image data of a target region and conducting motion analysis, and electrocardiosignals are synchronously collected to determine heart beat time phase information; determining a vascular movement mode based on the two, learning a time change rule by using a long-short-term memory network, and establishing an association relationship between a vascular spatial position and a heart beat phase; constructing a motion prediction model to predict the future motion trend of the blood vessel, and fusing the respiratory motion information to correct to obtain the blood vessel motion information; and finally, a safe puncture window is calculated according to the information, a regional anesthesia puncture path is planned, vascular movement prediction and safe puncture window calculation based on vascular movement rule learning and breathing correction in regional anesthesia under ultrasonic guidance can be achieved, and then the puncture path is precisely planned.

The invention discloses an athlete action analysis and training optimization method and system based on big data, and relates to the technical field of exercise training.Multiple array sensors are deployed to collect exercise data, including static data and dynamic data, of a trainee, and meanwhile medical images of the trainee are obtained; constructing a basic model of the trainer based on the motion data, wherein the basic model comprises a body model and a motion model; acquiring athlete big data to construct an athlete big database, and generating a shadow model based on coupling of the athlete big database and the body model; calculating the coincidence degree of the basic model and the shadow model, generating an optimal function unit based on the coincidence degree, and guiding training of other body function units based on the optimal function unit to obtain training data. According to the method, the trainee basic model and the athlete shadow model are constructed, a scientific target reference is set for personalized training, and the pertinence and operability of training optimization are greatly improved through data-driven personalized model construction.

We provide a system that protects personal privacy by preventing infringement of portrait rights and damage caused by being photographed in photos due to unauthorized posting on social media. Solution: Utilizing multiple biometric identifiers, including the user's facial image, 3D body scan, clothing, voice, and movement analysis, posts on social media are constantly monitored. When a reflection is detected, a notification and deletion request is automatically sent. The system is comprised of a composite module that performs monitoring, detection, notification, request, and billing, and detection accuracy is continuously improved using AI. It has a flexible monitoring system according to billing levels and an automatic linking function with social media operators. [Effects] High-precision detection and a sustainable monitoring model will enable the protection of individuals' portrait and privacy rights, as well as the prevention of digital tattoo formation.

The invention relates to the technical field of motion analysis, in particular to an aerobics motion accurate analysis system based on multi-modal data fusion, which comprises a multi-modal data acquisition module, a data preprocessing module, a multi-modal data fusion module, a motion evaluation module and a feedback module. Acquiring and processing data to obtain an Euler angle, an action time sequence and an acceleration mean value, and splicing a sensor feature vector and an image feature vector to form a joint feature vector; the relative motion trajectory similarity, the relative angle similarity, the motion rhythm error and the trajectory smoothness are calculated through the combination of the feature vector, the Euler angle, the motion time sequence and the acceleration mean value, the motion standard is evaluated according to the relative motion trajectory similarity and the relative angle similarity, the rhythm coordination is evaluated according to the motion rhythm error, and the motion rhythm error is evaluated according to the motion rhythm error. And evaluating action fluency according to the track smoothness, reminding the user in real time, and generating a training report containing action standard, rhythm coordination and action fluency after the aerobics exercise is finished.

The invention provides a traditional opera action analysis method and device fusing an energy field, equipment and a storage medium. Relates to the field of Chinese opera action analysis and digital protection. According to the method, a time-joint-energy field three-dimensional analysis model is constructed based on three-dimensional attitude, mechanical dynamic and thermal gradient data acquired by multi-modal motion capture. The method focuses on feature extraction and energy analysis at the same time, in the aspect of feature extraction, an adaptive derivative operator is adopted to accurately capture subtle motion changes, and curvature extreme value detection is applied to accurately position motion trajectory inflection points. In an energy analysis level, a diffusion tensor and source item intensity are calculated based on an energy transfer partial differential model. In addition, the energy transfer path and the key force application point in the throwing and recycling actions of the water sleeve are mainly analyzed, and the instantaneous action characteristics of the water sleeve are accurately captured. Finally, a visual analysis report is generated, accurate data support is provided for teaching, digital inheritance and virtual performance, and scientific evaluation and quantitative analysis of opera actions are achieved.

The invention relates to the field of rock mass structure characterization, in particular to a rock mass structure quantitative characterization method based on block shape clustering analysis. The method comprises the following steps: constructing a DFN model based on field fracture data of a real rock mass, and obtaining block system data through a three-dimensional block recognition algorithm; the method comprises the following steps: normalizing the volumes of all blocks, constructing point cloud data for normalized new blocks, aligning point clouds of pairwise polyhedrons by applying a point cloud registration method, calculating the maximum volume overlapping ratio of pairwise polyhedrons, constructing a shape similarity matrix, performing spectral clustering analysis on the shape similarity matrix, constructing a representative shape, and calculating the size distribution of each group of blocks. And constructing a representative block and the like to quantitatively characterize the rock mass structure. Compared with a traditional block shape chart method, the method has the advantages that complex shape features of the block are quantitatively represented through the representative shape, the representative block is further constructed to reflect real shape and size features of a block system, and a basis can be provided for construction of a refined model for motion analysis of rockfall disasters.

The systems and methods described herein can identify meaningful relationships between variables, such as particular investments or general asset classes. Unlike conventional correlation analysis, these systems and methods provide an improved technique of co-movement analysis that implements a threshold to eliminate data “noise” and then discretizes the remaining observations to normalize any outliers. Such co-movement analysis has numerous advantages over known techniques for characterizing relationships between variables.

Systems and methods for analyzing laser beam characteristics in high-speed laser motion systems, wherein the characteristics include laser travel speed, velocity, and acceleration, wherein the high-speed laser motion systems comprise a laser for generating a laser beam, comprising determining a location of the first pin-hole sensor within the predetermined field of view; determining a location of the second pin-hole sensor within the predetermined field of view; defining a travel distance of the laser beam; measuring the amount of time to travel from the location of the first pin-hole sensor to the location of the second pin-hole sensor; and dividing the travel distance by the amount of time to travel from the location of the first pin-hole sensor to the location of the second pin-hole sensor to calculate the velocity of the laser beam between the first pin-hole sensor and the second pin-hole sensor.

Embodiments relate to a method for providing alarm for flooding in an underpass including the steps of determining if a risk of flooding in the underpass will occur based on weather information, water level information and flooding velocity information in the underpass, providing guide information associated with closure of a first lane of a plurality of lanes of the underpass when it is determined that the risk of flooding will occur, and providing U-turn indication information to guide for making a U-turn from a point in the underpass into the first lane and turning back to an entrance of the underpass when it is determined that the risk of flooding will occur. According to embodiments, there is an advantage of effectively transmitting danger and guide information in the disaster situation by providing flooding-related notification to the underpass barrier and / or the road surface.

The application discloses a biped robot with a quick-change hand and a motion analysis method under special working conditions, and belongs to the field of robot technology.The biped robot comprises a trunk unit, an arm unit, a hip joint unit and a leg unit; the arm unit is provided with a mechanical hand through a quick-change structure, and the mechanical hand is divided into a clamping mechanical hand, a scissors mechanical hand and a lock twisting mechanical hand.The robot has the advantages that each movable joint of the robot is designed in a module mode, the integration and the modularization of the robot are greatly improved, a connecting rod mechanism is arranged at the rear side of a knee joint, a design of moving outward of a hinge point is adopted, the motion dead point of the knee joint is offset, the joint module can more smoothly exert force, and the complexity of the joint connecting part is reduced.

The utility model relates to the technical field of cigarette production, and discloses an oil-free chopper device which comprises a mounting plate, a supporting seat is mounted on the right side of the mounting plate, a reserved groove is formed in the supporting seat, an adjusting lead screw is movably mounted in the reserved groove, a driving motor is mounted on the left side in the reserved groove, and a driving motor is mounted on the right side in the reserved groove. Two lead screw sliding sleeves are installed outside the adjusting lead screw, and chopper servo motors are installed at the front ends of the lead screw sliding sleeves. According to the oil-free chopper device, the distance and the position of the chopper body can be detected through the calibration detection sensor and the motion analysis sensor, and in the machining process, the driving motor can drive the chopper servo motor to adjust the position so that automatic calibration and adjustment can be achieved; the motion analysis sensor and the control box can carry out real-time analysis and monitoring according to the operation state of the chopper mechanism, an offset value can be directly input through the touch screen, automatic adjustment is convenient, shutdown is not needed, and the problems of oil leakage and inconvenience in automatic adjustment are solved.

The utility model relates to foot and ankle rehabilitation equipment technical field especially relates to a multifunctional intelligent foot and ankle rehabilitation robot, its technical scheme foot and ankle rehabilitation robot is by support system, intelligent pressurization system, motion control system, multi -mode evaluation system and data management system are composed of, support system includes fixed bottom plate and the support leg of installation in the fixed bottom plate four corners top, intelligent pressurization system includes the foot bottom seat of installation in the middle of stabilizer top, is provided with the foot surface banding for foot binding and the pressurization system of the airbag guide tube and airbag of foot bottom seat, motion control system includes setting in the foot bottom seat below for the six -degree of freedom motion mechanism of carrying out motion drive to foot bottom seat, data management system includes setting in the motion analysis module of fixed bottom plate top installation, the utility model discloses through the integration advanced mechanical design, control algorithm and information technology, provides the intelligent, individualized, comprehensive solution for foot and ankle rehabilitation.

The present invention relates to a method and wearable device for monitoring and analyzing user movements to predict fall risk The method involves retrieving motion data recorded by an Inertial Measurement Unit (IMU) and a pedometer, followed by processing the data once it exceeds a predefined threshold. A first trained machine learning (ML) model predicts the fall risk based on the processed data. A confidence score is determined from the fall prediction, and a second trained ML model analyzes successive data frames to confirm the fall if the score is above a threshold. If a fall is confirmed, a distress signal is transmitted. The wearable device comprises a processor and memory that stores program instructions to perform the method, including motion data retrieval, processing, fall prediction, confidence scoring, and fall confirmation, along with distress signal transmission. This invention enables timely fall detection and emergency response, improving user safety.

The application relates to the technical field of medical data processing, and discloses a knee joint three-dimensional movement analysis platform for clinical auxiliary diagnosis, which comprises the following steps: a data processing module adopts Magic software to collect knee joint three-dimensional movement original data, carries out coordinate correction and model processing, and generates a model group. A model analysis module imports the model group into a C3D clinical window, realizes real-time visualization of a three-dimensional movement track, calculates biomechanical parameters, and evaluates clinical pathology correlation. A man-machine interaction control module provides customized interaction logic and a graphical interface, supports parameter input, analysis process control, real-time monitoring, and automatic generation of a diagnosis report. A cloud publishing module converts the diagnosis report and the interface into a PHP dynamic webpage, deploys the webpage through HTTP, supports SSL encryption, multi-user concurrent access, and cross-platform remote calling. The application supports real-time visualization of a knee joint three-dimensional movement track, and improves data reliability.

To provide a wheel flat estimating device, a wheel performance testing device and a key control device for evaluating a wheel re-adhesion control method for allowing proper wheel sliding having the possibility of damaging a wheel and a rail.SOLUTION: The wheel flat estimation device 10 includes a motion analysis part 20 for calculating various parameters by analyzing the behavior between a wheel and a rail when the wheel is fixed, a frictional heat analysis part 30 for calculating the temperature of the tread of the wheel when the wheel is fixed by frictional heat analysis, and a calculation part 30 for calculating the wheel flat based on the calculated temperature of the tread and reference data. The shape estimation device includes a yield stress calculation unit 40 that calculates a wheel yield stress of a wheel, an area calculation unit 50 that calculates an area of a contact ellipse between the wheel and a rail, a comparison unit 60 that compares a magnitude relationship between a tangential stress calculated from a tangential force and the area of the contact ellipse and the wheel yield stress, and an estimation unit 70 that estimates, as a wheel flat shape, a contact ellipse having a minimum area in which the wheel yield stress is determined to be larger than the tangential stress by the comparison in the comparison unit 60.SELECTED DRAWING: Figure 1

The invention discloses a moving object point cloud tracking and trajectory prediction system, and the system comprises a point cloud collection module which is configured to collect the point cloud data of a moving object in real time, and the point cloud data comprises the three-dimensional coordinate information of the object under each timestamp; the feature extraction module is configured to carry out noise reduction and feature extraction on the point cloud data to obtain state feature vectors of the moving object, and the state feature vectors comprise the position, the speed, the acceleration and the like; according to the invention, full-process processing from point cloud acquisition, feature extraction, tracking and matching to trajectory prediction and optimization is realized through modular design, and the method has relatively high robustness and practicability. According to the system, a three-dimensional point cloud sequence of a moving object is obtained in real time through a point cloud acquisition module, and time-space continuity of input data is ensured; all the modules work cooperatively, high-precision and real-time tracking and reliable trajectory prediction of a moving object in a complex scene are achieved, and the accuracy of motion analysis and the adaptive capacity of the system are improved.

A method and an apparatus for determining a terminal device in close contact with another terminal device are provided. The method includes: A first network element obtains data of a plurality of terminal devices and an identifier of a first terminal device. The first network element determines, based on the data of the plurality of terminal devices, movement analysis results respectively corresponding to the plurality of terminal devices. The movement analysis results respectively corresponding to the plurality of terminal devices include a movement analysis result of the first terminal device. The first network element determines at least one second terminal device based on the movement analysis results respectively corresponding to the plurality of terminal devices. A movement track of the second terminal device overlaps a movement track of the first terminal device, a movement manner of the second terminal device is the same as a movement manner of the first terminal device on an overlapping movement track, and at least one preset event experienced by the second terminal device is the same as a preset event experienced by the first terminal device on the overlapping movement track. In the foregoing method, a close contact can be accurately located.

A masticatory movement analysis method includes, an acquisition step of measuring myoelectric potential from muscles at a plurality of measurement spots on a face when a target person chews and acquiring myoelectric potential data, a calculation step of calculating a plurality of feature amounts from unit data obtained by dividing the myoelectric potential data on a basis of a unit time, and a determination step of determining from the feature amounts which one of tongue movement, cheek movement, and occlusal movement is being performed by the target person during acquisition of the unit data.

The application provides a ship mooring control method and system based on motion analysis, and relates to the technical field of ship mooring control. In view of the technical problems that the existing ship mooring control method mainly depends on position feedback, is easy to cause the single pendulum effect, has the resonance risk, has the response lag and has high energy consumption, the application adopts the fusion monitoring of ship motion state of stereovision and laser radar, constructs the mooring big data covering multiple ship types and multiple environment conditions based on the joint simulation of computational fluid dynamics and ship dynamics, optimizes the parameters of the PID control model with the ship displacement, speed and acceleration as inputs through the genetic algorithm, and finally realizes the closed-loop real-time adjustment of the cable tension relying on the high dynamic winch system. The method improves the control precision and stability of the mooring system, and the robustness and environmental adaptability in the face of complex environment.

The application relates to a motion analysis method, a metabolic data analysis method, a device and a wearable device. The motion analysis method comprises the following steps: acquiring user feature data of a user, a motion type and motion data of the user; acquiring metabolic data of the user in a motion process according to the user feature data, the motion data and a target metabolic prediction model; the target metabolic prediction model is determined from a preset metabolic prediction model set according to the user feature data and the motion type; and generating motion analysis information of the user according to the metabolic data. The motion analysis method can make the motion scene of motion consumption analysis by using the wearable device more extensive.

The application discloses a 3D printing resin jaw fork fixing method and system for complex dentition patients, relates to the technical field of oral digital restoration, and comprises the following steps: obtaining intraoral scanning data of the dentition patient, extracting mandibular dentition support points, undercut locking areas and dynamic occlusion interference boundaries based on the occlusion point trajectory, establishing a three-dimensional digital model of the mandibular full dentition and occlusion relationship with bearing stability weight and motion avoidance constraints, and performing coordinate unification and assembly gap matching according to the interface specifications of the scanning face bow, the occlusion recorder and the mandibular metal jaw fork to obtain a preliminary docking feature set. The 3D printing resin jaw fork fixing method and system for complex dentition patients improve the accuracy, repeatability and clinical operation efficiency of occlusion recording and mandibular motion analysis of complex dentition patients.