14 results about "Human body structure" patented technology

The utility model relates to technical field of sports socks, concretely is a kind of wide-toe moisture-absorbing quick-drying split-toe sports socks, including sock main body, the sock main body includes toe, by thumb toe part and split-toe part, the thumb toe part and split-toe part are connected with widened part, the sock body includes the sock face of wrapping instep and the sock bottom of wrapping foot bottom, the sock bottom of the sock body is equipped with space bin, and the space bin is located metatarsal bone and phalanx connecting portion of sole of foot.This kind of wide-toe moisture-absorbing quick-drying split-toe sports socks, by adding widened part between thumb toe part and split-toe part, increase the distance between thumb toe and two toes, reduce the pressure and friction to thumb toe inner side when wearing, in addition, space bin is additionally arranged in metatarsal bone and phalanx connecting portion of sole of foot, so that the sports socks can better fit foot, and the wrapping property is stronger, so that the sports socks are more in line with human body structure, and wearing is more comfortable.

This invention provides a toy skeleton structure, wherein the torso adopts a segmented structure. Ball heads and spherical grooves are respectively provided on the opposite end faces of the first and second torsos. The first torso can be rotatably fixed to the second torso through the rotational engagement of the ball heads and spherical grooves. Simultaneously, the ball heads are connected to the end face of the first torso through a waist-shaped transition section, allowing the torso to rotate and perform small-amplitude swaying movements, thereby increasing the torso's range of motion and fluidity. This invention also provides an assembly mecha toy including the aforementioned toy skeleton structure. The toy skeleton structure provided by this invention has the advantages of simple and compact structure, fewer component parts, simple assembly operation, and easy management. It also has the advantages of multiple and smooth range of motion, ensuring high playability and interactivity for both the skeleton structure and the assembly mecha toy. Furthermore, the structural design of the toy skeleton structure allows its shape to more closely resemble a simulated human body structure.

This invention discloses a biomimetic model of driver injury based on the physical characteristics of a Chinese male at the 50th percentile. The model is based on a biomimetic model of a car occupant with the physical characteristics of a Chinese male at the 50th percentile. The occupant biomimetic model is modified and adjusted according to the driver's sitting posture while driving, and key angles of the human body structure and the physiological curvature of the spine are defined. The key angles include: head angle, trunk angle, upper arm angle, forearm angle, left and right hip angles, left and right knee angles, left and right leg angles, and ankle angle. The physiological curvature of the spine includes: cervical curvature, full thoracic curvature, upper thoracic curvature, lower thoracic curvature, and lumbar curvature. This invention also discloses a method for constructing the above-mentioned biomimetic model of injury, which has wide application scenarios.

This invention discloses a self-supervised method and system for 3D pedestrian reconstruction based on SMPL pose constraints and a hybrid deformation field. Addressing the shortcomings of existing methods, such as the lack of prior knowledge of human structure, difficulties in adapting skin weights, and the inability to balance physical constraints with non-rigid details, this invention uses a normalized Gaussian field obtained through self-supervised optimization as input and proposes three key technologies: 1. A learnable skin weight field that directly predicts the complete skin weight vector of Gaussian elements; 2. A hybrid deformation field framework that concatenates a linear hybrid skin rigid transformation with a six-plane non-rigid residual transformation to achieve synergy between physical plausibility and detailed modeling; 3. Multi-level regularization constraints that ensure the physical plausibility of the reconstruction from three spaces: parameters, geometry, and image. Experiments show that this invention significantly outperforms baseline methods in terms of rendering quality, pose accuracy, and physical plausibility.

This invention relates to the field of motion recognition technology, and more particularly to an artificial intelligence violation detection method and system for sit-up tests. The method includes coarse localization of the human body region, rapid recognition of human body structure, logical image partitioning, key point localization, and key point tracking and violation determination. Logical image partitioning involves dividing the human body contour image into multiple partitions based on the obtained human body contour and structural information. Compared to existing technologies that use traditional image processing methods for key point localization, which suffer from limited accuracy and are highly susceptible to ambient lighting, this invention employs a key point extraction algorithm that combines heatmap and offset vector calculations with sub-pixel-level coordinate correction technology to achieve high-precision and stable key point localization, providing a reliable data foundation for motion trajectory analysis.

The application discloses a face recognition method, comprising the following steps: acquiring a first face training image without a mask and a second face training image with a mask of a training object under a preset training environment, and generating a training data set according to the first face training image and the second face training image; establishing a data base for storing face images with or without a mask, training the training data set to obtain a replacement model, and generating a second face image with a mask according to a first face image without a mask to be stored in the data base by using the replacement model; acquiring a face collection image of a to-be-recognized object with or without a mask, and comparing the face collection image with the second face image in the data base to determine whether the to-be-recognized object matches the training object. The application solves the problems of low face recognition accuracy when the to-be-recognized object wears a mask and contradiction between human body structuring and face recognition in the prior art.

The application discloses a clothes-changing pedestrian re-identification method based on graph attention human body part dynamic correlation modeling. The method first acquires a video sequence of a to-be-identified pedestrian, performs part segmentation on the video sequence through a human body analysis model; then extracts part features under different receptive fields and suppresses the background by using a part perception multi-scale feature extraction module; then combines each frame and the part to construct a graph node, and constructs a heterogeneous space-time part graph containing space edges, time edges and non-local edges; the graph attention part correlation modeling module performs message passing on the three types of edges, and fuses to obtain enhanced node features; then the enhanced node features are mapped back to the original space feature dimension; adaptive weighted integration is performed on different granularity features; finally, an identity representation vector is generated, similarity is calculated with a graph library feature, and a matching result is output. The method captures the time sequence dynamic correlation between human body parts, so that the identity representation generated by the model is more focused on stable human body structure rather than changeable clothing appearance.

The present application relates to the technical field of millimeter wave radar detection, and particularly relates to a millimeter wave radar height detection system and a detection method thereof, which comprises: a millimeter wave radar module that emits millimeter wave radar signals to a human body detection area and receives echo signals formed by the reflection of the human body and the ground; a signal preprocessing module that performs low-pass filtering processing on the echo signals to obtain radar intermediate frequency signals; a target detection module that performs constant false alarm rate (CFAR) detection on the radar intermediate frequency signals to generate target distance distribution data; a ground occlusion area detection module that identifies a continuous ground echo interface and detects a ground echo occlusion area formed by the occlusion of the human body, so as to determine the detection area of the human body; a human body structure identification module that identifies a human body scattering structure and determines the upper boundary and the lower boundary of the human body scattering structure; and a height calculation module that determines the height of the human body according to the distance difference between the upper and lower boundaries of the human body scattering structure. The present application can accurately determine the human body detection area in the presence of ground echo interference.

The present application belongs to the field of computer open surface reconstruction, and relates to a kind of open surface reconstruction method of three-dimensional skull point cloud based on variational level set process, comprising: the three-dimensional skull point cloud data to be reconstructed is obtained by Fast Sweeping algorithm to initialize level set function ψ and φ;Two level set functions ψ and φ are used to design energy functional to obtain open surface reconstruction model, and the energy functional includes open surface area item, open surface boundary length item and Euler's Elastica regularization item;The optimization problem corresponding to energy functional is iteratively optimized by augmented Lagrangian algorithm;After iteration reaches convergence, the open surface corresponding to the surface representation point cloud when ψ=0 and φ≥0 is selected.The present application can carry out digital processing and protection to cultural heritage, and can also be widely used in medical research and human structure processing technology occasion;The process method designed is scientific and reasonable, processing and calculation operation is simple and convenient, open surface reconstruction is clear, usability is strong, development prospect is broad, and application environment and effect are friendly.

The application provides a method for simulating human-machine asynchronization waveform, and the method is characterized in that: a coupling mathematical model of a human respiratory system and a breathing machine is established, a working mode of a clinical breathing machine, i.e., volume control and pressure control, is simulated, and the human-machine asynchronization waveform is simulated and generated. The human respiratory system model structure in the mathematical model established by the application is consistent with the real human structure, and the control strategy of the breathing machine model is reasonable and effective, so that the model is effective and has interpretability. The application can improve the problem that it is difficult to obtain the human-machine asynchronization breathing waveform data with labels. The application provides a new means and angle for the research on the medical phenomenon of human-machine asynchronization.