18 results about "Movement analysis" patented technology

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.

This invention discloses a plate motion analysis method based on GNSS and SLR stations of the Eurasian Plate, belonging to the field of geodesy and surveying engineering technology. The method includes: acquiring raw coordinate time-series data from GNSS and SLR stations and preprocessing them; decomposing the preprocessed sequence using singular spectrum analysis (SSA) to reconstruct and separate trend, periodic, and noise terms; performing Fast Fourier Transform (FFT) on the reconstructed signal to extract frequency domain features; establishing a comprehensive model of linear velocity plus periodic correction by combining time and frequency domain features; and analyzing the motion characteristics of the Eurasian Plate based on this model to achieve motion trend prediction and anomaly detection. This invention, through the combination of SSA and FFT, significantly improves the accuracy of motion parameter estimation and the ability to identify weak signals, providing a reliable method for plate motion analysis and earthquake prediction.

This application discloses a kinematic analysis experimental system and method for a hook-type locking device. The system includes a guide rail mounted on an experimental frame for driving a locking rod to move along a first direction. The hook-type locking device includes a support device and a locking hook hinged to the support device via a torsion spring. One end of the locking hook is provided with a locking hook shaft, and the path of the locking rod moving along the first direction is perpendicular to the rotation center line of the locking hook. A hydraulic drive system is fixedly installed on the support device, and the free end of the push rod of the hydraulic drive system is hinged with a locking hook, which is hinged to the support device. When the free end of the push rod retracts, it pulls one end of the locking hook to move in the direction of the push rod retraction, locking the locking rod that has moved to a preset position. Conversely, the locking hook unlocks the locking rod under the torque of the torsion spring. The system of this application has a simple structure and complete functions, and can meet the entire process of kinematic analysis of the hook-type locking device.

We provide the system. [Solution] A sound output device equipped with a motion sensor that detects head movements, A motion analysis device that analyzes motion data output from the motion sensor and determines instructions based on motion gestures, A response generation device that processes information based on the determined instructions and provides feedback to the user through an audio output device, A processing means equipped with a function to acquire information using head movements while the user is moving and to support the updating of route information, A system that includes this.

This application relates to the field of intelligent motion analysis technology, and discloses a multi-dimensional data-driven method and system for volleyball teaching effect feedback. The method includes: collecting real-time training motion and ball-hitting trajectory data to form a raw dataset; extracting features from the raw dataset and analyzing the training motion chain to obtain motion analysis results; if the motion deviation exceeds a threshold, classifying the data to determine a problem classification label; combining the problem classification label with subjective feelings and training load data to generate a personalized feedback report; monitoring subsequent training data according to the feedback report and updating the motion analysis results; comparing the motion analysis results before and after the update to calculate a continuity evaluation index; and generating a visualization chart based on the continuity evaluation index to determine a personalized training optimization path. This application solves the problems of delayed feedback, fragmented data, and lack of continuous evaluation in traditional volleyball teaching, improving the accuracy of volleyball motion diagnosis, the personalization level of training programs, and overall teaching efficiency.

AI-based child voice and movement analysis algorithm AI-based child voice and movement analysis algorithm

1. Name of the design product: animal swimming movement analysis device. 2. Use of the design product: for studying and analyzing the relationship between swimming training and disease rehabilitation. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: perspective view.

The application belongs to the technical field of motion analysis, and specifically discloses a gait optimization prompting method, system and program product based on an intelligent insole. The user walking monitoring data is collected through the intelligent insole, and the pressure distribution characteristics and walking dynamic characteristics are analyzed by using the user walking monitoring data, and then the gait standard degree and gait stability index calculation and gait optimization feedback are carried out, so as to integrate the precise gait analysis, real-time quantitative evaluation and personalized closed-loop intervention into one, and realize scientific and efficient gait detection and gait optimization guidance. The application can improve the accuracy and robustness of gait evaluation, can more finely identify gait problems, can guide the user in the walking process, realize dynamic adjustment and relearning of gait, and greatly expand the application boundary and beneficiary population of gait analysis technology.

This invention provides a computer vision-based martial arts (Sanshou) movement analysis and evaluation system, including a processor and a memory. The memory stores a computer program, and the processor executes the computer program to implement the functions of the following modules: a visual data acquisition and processing module, used to acquire video streams containing athlete movements through visual sensors, process the video streams, and extract the athlete's movement data sequence; and a movement analysis and diagnosis module, connected to the visual data acquisition and processing module. This invention introduces a rule-based reasoning diagnostic mechanism, which intelligently matches and analyzes the root causes of multi-dimensional movement deviations through an embedded error pattern rule base, thereby achieving a leap from surface difference comparison to deep error attribution. This effectively solves the problems of traditional training relying on subjective experience, lacking objective quantitative evidence, and being difficult to identify the root causes of movement deviations.

This invention discloses a method for analyzing table tennis training movements based on multi-source information fusion. It employs at least two video sources, a nine-axis posture sensor at the trainee's wrist, and an audio source to acquire training process information. After unified time synchronization, frame alignment, and preprocessing, a YOLO-based detection and keypoint extraction module outputs bounding boxes for the trainee, racket, and table tennis ball, as well as keypoints on the human body. A nine-axis posture analysis module outputs posture sequences and motion features, while an audio event detection module outputs peak values ​​for ball impact and table contact. A multi-source feature matrix is ​​then constructed and input into an improved TriDet temporal motion localization model to obtain the motion category, start time, end time, and confidence level. Finally, the method outputs training movement analysis results, comprehensive evaluation indicators, and training suggestions. This approach improves the accuracy of motion boundary localization, the accuracy of ball impact recognition, and the comprehensiveness of training evaluation, and is suitable for edge deployment.

The present application relates to the field of intelligent medical rehabilitation and computer vision technology, in particular to a musculoskeletal 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; the geometric compliance is distinguished through explicit kinematic feature analysis; if it is compliant, the dynamics inversion unit is used for visual torque inference consistency analysis; in response to torque dispersion, compensation coupling coefficient and motion chain conduction delay acquisition analysis are carried out respectively; finally, the compensation evaluation index is calculated through multi-dimensional compensation quantitative matching analysis, and the implicit compensation or effective driving signal is generated; the present application constructs a hierarchical filtering mechanism, which makes the implicit problem explicit, and fills the gap of internal force mode monitoring in non-contact rehabilitation evaluation.

The application belongs to the technical field of personnel rejection control, and specifically discloses a vehicle-mounted shelter control system of a millimeter wave personnel rejection system, which comprises a distance time sequence interception module, a motion analysis determination module, a displacement compensation analysis module and a rejection trigger judgment module. The distance time sequence interception module dynamically determines a lag time window based on a preset response lag duration and a current target distance, and intercepts a target distance sequence; the motion analysis determination module performs time sequence analysis on the target distance sequence to obtain the motion speed of the target within the lag window; the displacement compensation analysis module calculates a displacement compensation amount and a target analysis distance value according to the target motion speed and the response lag duration; and the rejection trigger judgment module judges whether to start a rejection trigger signal based on the target analysis distance value. The application can overcome inherent response lag, thereby avoiding trigger delay when the target approaches quickly and reducing the risk of excessive injury.

A three-dimensional force sensing saddle device and a cycling motion analysis method, the device comprises a saddle body configured in the form of a bicycle saddle, a flexible sensor array, a signal acquisition module and a processor. The flexible sensor array is arranged on or in the saddle body and comprises a plurality of independent three-dimensional force sensing units for collecting three-dimensional force data on the saddle during cycling or simulated cycling. The signal acquisition module is electrically connected to the flexible sensor array for real-time acquisition of electrical signals of the sensing units. The processor is used to analyze the three-dimensional force distribution data of the bearing surface according to the electrical signals. The present application can break through the limitation of single dimension of traditional pressure monitoring, and realize deep quantitative analysis of many aspects such as cycling posture stability and force balance. The device of the present application not only can assist the rider to correct the action immediately, but also can provide big data model support for bicycle industrial design, which is used for saddle optimization design and has high scientific research and commercial value.

This invention discloses a method for railway safety assessment under time-varying effects throughout the construction process of a railway-related T-shaped rotating bridge. This method divides the entire construction process of a railway-related T-shaped rotating bridge into three analysis stages: bridge completion process analysis, bridge rotation motion analysis, and bridge operation status analysis. In the bridge completion process analysis, a coupled analysis model of the bridge completion process and the railway is established to consider the impact of the bridge completion process on the railway. In the bridge rotation motion analysis, a refined analysis model of the bridge is first established to analyze the maximum deformation of the piers during three transient states: rotation start-up, uniform motion, and rotation braking. Then, the maximum deformation of the piers is applied to an equivalent coupled analysis model to achieve a refined analysis of the impact of the entire bridge rotation process on the existing railway. In the bridge operation status analysis, a coupled analysis model of the bridge operation status and the railway is established to consider the impact of the bridge operation process on the railway. In summary, this method can achieve railway safety assessment under time-varying effects throughout the construction process of a railway-related T-shaped rotating bridge.