101 results about "Body joints" patented technology

The invention belongs to the field of robot motion control, and discloses an online generation and control method and system for whole-body coordinated walking motion of a humanoid robot, a computer readable storage medium and a computer program product. According to the method, in walking motion generation, a whole-body walking motion track including upper body joint motion information is generated in real time by adopting a whole-body kinematics-centroid dynamics model; a model predictive control model is adopted to realize organic combination of motion trail generation and real-time tracking control; and solving the model prediction control model, and taking the optimal state x * and the corresponding control input u * as the input of whole body control. According to the method, in the planning stage, namely the whole-body walking motion trail including upper body joint motion information, the whole-body dynamic characteristics of the arms, the waist and the like are comprehensively considered, and a new method of long-time-domain trajectory optimization and online control is combined, so that real whole-body coordinated walking is fundamentally realized.

The invention discloses a meta universe-based conference interaction method, and relates to the technical field of virtual conferences, and the method comprises the steps: extracting the facial features of participants, comparing the facial features with a pre-established facial feature library, obtaining the unique identity of each participant, and recognizing the identities of the participants; after the identities of the participants are determined, position changes of key body joint points of the participants are detected in real time, and specific actions of the participants are judged by analyzing relative positions and movement tracks between the joint points; the method comprises the following steps: receiving the acoustic characteristics of the participant language, converting the voice signal of the participant into a text, and analyzing the semantics and emotion of the text in combination with natural language processing to obtain the language expression intention of the participant. According to the method and the device, the optimal interaction mode can be dynamically selected from the preset library according to different interaction intentions, and the audio and video parameters and the interface layout are adjusted in real time, so that intelligent interaction in a multi-user scene is realized, the interaction experience of a conference is optimized, and the interaction effect can also be improved.

Various implementations relate to methods, systems and computer readable media to provide body tracking from monocular video. According to one aspect, a computer-implemented method includes obtaining a video including a set of video frames depicting movement of a human subject; extracting 2D images of the human subject from the video frames; providing the 2D images as input to a pre-trained neural network model. The method further includes determining a pose of the subject based on the 2D images. The method further includes generating a 3D pose estimation of upper body joint positions of the human subject. The method further includes determining confidence scores, and selecting a set of keypoints of the upper body joints of the human subject based on the confidence scores. The method further includes animating a 3D avatar using at least the selected set of keypoints, and displaying the animated 3D avatar in a user interface.

A real-time badminton action detection system, consisting of: a video recording module configured to continuously record video images at a frame rate of at least thirty frames per second; a pose estimation processing unit configured to detect and output two-dimensional skeletal landmark coordinates for a variety of body joints, including at least wrists, elbows, shoulders, hips, knees and ankles, from each video frame; a Motion Bidirectional Encoder Representation Transformer (Motion-BERT) configured to receive sequential skeleton landmark coordinates over a defined time window and encode motion trajectories using multi-head self-attention mechanisms across past and future frames; and a classification controller module operationally coupled to the Motion-BERT, wherein the classification controller module comprises a dense neural network with a softmax output layer configured to generate real-time probability distributions over a variety of badminton-specific action classes, the end-to-end system being configured to produce recognition results with a processing latency of less than 100 milliseconds; and wherein the video recording module comprises a high-speed digital camera with a wide-angle lens positioned at a point on the perimeter of the court, the camera being calibrated with intrinsic and extrinsic parameters for perspective correction, and wherein the system includes a calibration routine that aligns detected skeletal landmarks with a reference badminton court coordinate system.

A method for pose and gait classification and motion prediction using spatio-temporal relationships between body joints includes capturing a sequence of images or video frames of a subject; applying a neural network-based pose estimation algorithm to the sequence of images or video frames to detect landmark positions of anatomical joints; constructing a spatio-temporal graph from the detected landmark positions of the one or more anatomical joints, wherein nodes of the spatio-temporal graph correspond to the anatomical joints and the landmark positions, spatial edges of the spatio-temporal graph represent anatomical connections between the anatomical joints within a single image or frame, and temporal edges connect the one or more anatomical joints across successive images or frames of the sequence of images or video frames; and inputting the constructed spatio-temporal graph into a spatio-temporal graph convolutional network (ST-GCN) to classify pose and gait patterns and predict motion or stability states.

The invention relates to the technical field of rehabilitation instruments, in particular to a whole-body joint rehabilitation training device and a control method thereof. The method comprises the following steps: acquiring joint angles, IMU data and electromyographic signals when a user executes a plurality of standard actions; according to the joint angle, determining a joint motion range risk level of the target joint; according to the joint angle, the IMU data and the electromyographic signal, determining a compensatory behavior risk level and a cooperative efficiency score of a target joint; determining a training mode according to the risk level of the compensatory behavior, wherein the training mode at least comprises a general mode and a mode for the compensatory behavior; determining training parameters according to the joint motion range risk level, wherein the training parameters comprise resistance; adjusting the training parameters according to the collaborative efficiency score; and outputting the training mode and the adjusted training parameters. According to the method, the rehabilitation efficiency can be improved, and compensatory behaviors during training are reduced.

A system for acquiring, standardizing and evaluating biomechanical kinematics data of a joint includes a device for acquiring biomechanical kinematics of the joint and processing it in a computer-readable manner. A display device displays visual output to a user. A control unit processes the kinematics and determines a progression of kinematics parameters of the joint with respect to a first joint element with a first joint coordinate system and with respect to a second joint element with a second joint coordinate system. A standardization unit determines, via a predetermined target optimization, a transformation for adjusting an orientation and / or position of the first and / or second joint coordinate system to carry out a standardization, and output an evaluation via the display device. A method is used to acquire, standardize and evaluate biomechanical kinematics data of a joint, and can be executed by a computer with a computer-readable storage medium.

A method of operating a robot includes operating a robot that includes a body assembly that includes a frame formed of at least one body joint assembly, and at least one pair of joint linear actuators that form the at least one body joint. The method further includes controlling the at least one pair of joint linear actuators to operate in combination to adjust the at least one body joint assembly in two degrees of freedom through differential linear actuation.

The invention discloses a personal protection equipment compliance detection method, and relates to the technical field of image data processing. Comprising the steps of constructing a two-dimensional human body sensing network, a three-dimensional human body shape reconstruction network and a layered protection equipment judgment network; obtaining video data, performing feature extraction on the video data, and generating accurate coordinates of human skeleton key points and body joints; based on the human skeleton key points, a working state result is generated through a three-dimensional human body shape reconstruction network; based on the human skeleton key points and the video data, generating protective equipment wearing features through a layered protective equipment judgment network, judging whether a working state result of the target person meets a preset result, if so, continuing to judge whether the protective equipment wearing features meet a preset condition, and if the protective equipment wearing features meet the preset condition, continuing to judge whether the protective equipment wearing features meet the preset condition. And outputting wearing compliance. The invention aims to judge whether an experimenter regularly wears personal protection equipment or not by analyzing video stream data in combination with a modern image recognition technology and a video monitoring means.

An arthritis pain treatment device includes: a pulsed electromagnetic generator that operates to activate cells of a body joint, generates a magnetic field to the body joint, and changes polarity of the magnetic field; a low-level laser generator that operates to reduce inflammation at the body joint, generates light of a predetermined wavelength to the body joint, and changes brightness of the light; an electric muscle stimulation generator that operates to induce contraction and relaxation of muscles of the body joint and applies current to the muscles of the body joint; a heat generator that generates heat to the muscles around the body joint in order to generate flow of blood around the body joint; and a controller that controls the pulsed electromagnetic generator, the low-level laser generator, the electric muscle stimulation generator, and the heat generator in accordance with instructions from a user.

Motion recognition clothing is smart clothing which measures changes in a person's body configuration and motion. In an example, a combination of upper-body and lower-body motion recognition clothing can measure changes in full-body configuration and motion. Selected body joints are each spanned by a plurality of flexible energy pathways. Each flexible energy pathway is in communication with an energy emitter and an energy receiver. Body joint movements deform the energy pathways, this deformation changes energy transmission through the energy pathways, and changes in energy transmission are then analyzed to measure body configuration and motion.

The invention discloses a rehabilitation training action difficulty grading analysis and scheme recommendation method and system. The method comprises the following steps: defining a geometric center of a key virtual joint point; calculating a human joint mass center and a moving limb mass center; joint kinematics parameter meters are calculated, wherein the joint kinematics parameter meters comprise angles, angular velocities and angular accelerations; based on the mass center of the moving limb, the body weight ratio and the kinematics parameters, calculating torque in combination with a mechanics principle; based on prime mover muscle analysis of a human body posture, combining a joint angle and an angular velocity direction, and performing work division according to functions of prime mover muscles in human anatomy; evaluating an action difficulty grade; and comparing the actual functional state of the patient with the training standard corresponding to the current difficulty weight. The recognition precision is remarkably improved.

The invention discloses an analysis method, device and system suitable for an abnormal behavior of a judge. The method comprises the following steps: collecting a video stream of an area where the judge is located in real time through a plurality of cameras; identifying and analyzing the acquired video stream; acquiring a face image of a character object in the video image and joint point coordinate information of a body; obtaining an attitude feature information matrix S1; extracting a human face region by using MTCNN, and representing the human face region as K1; fusing the human body expression information K1 and the human body posture information S1, and representing a feature matrix S2; enabling the fused feature matrix to pass through an abnormal behavior recognition model of a residual network with noise robustness to obtain a final behavior recognition result of the human body posture; the method comprises the steps of extracting audio information in a video stream, performing text conversion and keyword extraction on the audio information to obtain an audio keyword set, and predicting an abnormal behavior to obtain an abnormal behavior prediction result. The method is accurate in monitoring and can deal with various scenes.

The application discloses a table tennis intelligent learning method based on a depth camera and belongs to the technical field of sports education. A depth camera is used to collect a full-body action image sequence of a learner, a depth learning posture estimation algorithm is used to extract three-dimensional coordinates of human body key points and to calculate joint rotation angle data, a foot pressure sensing array is used to collect foot bottom pressure distribution data, a six-axis inertial sensing unit arranged in a racket is used to collect spatial motion parameters of the racket, the above data is input into a pre-constructed biomechanics dynamic chain model, action parameters are calculated, the action parameters are compared with a standard action parameter database in real time, action deviation scores and correction prompt information are generated, and the learner is shown the standard action evaluation results and error correction suggestions in the form of a three-dimensional animation. The application solves the problems that the prior art cannot realize accurate measurement of three-dimensional angles of full-body joints under zero-wearing conditions and lacks real-time calculation capability of dynamic chain mechanical parameters.

The present application relates to floor joint structure technical field, specifically a kind of floor anti-cracking joint structure, including floor body and positioning plate, the positioning plate both sides are provided with side along, the floor body is clamped in the inside of side along;The present application is positioned and installed first by positioning plate, then the floor body is clamped in the inside of side along on the both sides of positioning plate, engages mechanism cooperation engaging groove and engages, locking block is fixed in the through slot of positioning plate, and stably resist the end of push block, make push block and stable and catch engaging block, engaging block cooperation engaging groove stably and catch together, while filling sealant in locking block, continue to limit the activity of push block using the thermal expansion and contraction principle of sealant, so that floor body and positioning plate will be more closely engaged as temperature rises, so as to prevent the effect that floor body joint cracks, solve the problem that the existing floor joint mode is poor in rigidity and has cracking risk.

A screen climbing system includes a screen in which holds are coupled to an inclined surface formed vertically or at a predetermined slope and on which a climbing image is projected and displayed, an image output device that enlarges the climbing image and projects the enlarged climbing image on the screen, a motion recognition device that recognizes an exerciser climbing the screen according to the climbing image to calculate motion information including position, posture and movement, and a smart climbing analysis device that tracks displacement of each body joint of the exerciser based on the motion information, calculates energy metabolism for the displacement as momentum of each body joint, reflects momentum information in the climbing image based on the calculated momentum, and transmits the momentum information to the image output device.

A system and method for mapping a user's gestural interactions (positional interactions and pointing interactions) from their environment to that of their avatar's environment. The system and method provide a multi-objective optimization (MO) process with the primary objective being to minimize the positional error between the end effector and goal target and the secondary objective being to preserve the original body pose while redirecting the end effector to the goal target. The primary and second objectives are addressed with a dynamic weight allocation approach that optimizes between the objectives of body joint redirection and preserving the body pose of the original interaction.

The utility model provides a connector assembly and a hair care appliance. The connector assembly comprises a handle connector and a body connector. The main body joint and the handle joint are matched with each other and can be rotationally fixed with each other, so that the main body part can keep a fixed posture at a first angle relative to the handle part; wherein the handle joint is connected with a handle part of the hair care appliance and keeps gas communication with the handle part, the main body joint is connected with a main body part of the hair care appliance and keeps gas communication with the main body part, and gas communication from the handle part to the main body part can be kept through the joint assembly.

A body compliant quadrupedal micro-robot with four independently actuated leg modules, each having two degrees-of-freedom driven by piezoelectric actuators. The legs are interconnected in a closed kinematic chain via passive body joints enabling passive body compliance and passive adaptation to external constraints. The robot has multiple capabilities including omnidirectionality and confined terrain locomotion. The robot has an unconstrained top speed of approximately three body lengths per second. Through the passive body compliance, the robot navigates narrow spaces with a body compression ratio of up to one-and-a-half times the neutral body shape.

A semantic-driven immersive telepresence system for bandwidth-efficient transmission of three-dimensional human representations. The system extracts compact semantic details from captured image data instead of transmitting complete raw 3D content. Color semantics are derived by estimating scene lighting characteristics using a lightweight model, combined with pre-captured base skin and clothing color. Motion semantics are extracted via keypoint detection of body joints, facial features, and hand positions. A regression-based method using keypoint-anchored vertices (KAVs) maps sparse keypoints to parametric human model parameters in real-time. The system transmits compressed semantic information over networks and reconstructs human representations at receiving devices. A multi-stage neural rendering pipeline with patch-based processing generates photo-realistic visual output. The approach significantly reduces bandwidth requirements compared to traditional bit-by-bit transmission of point clouds or meshes while maintaining low latency, real-time performance, and high visual quality suitable for interactive telepresence applications.

Systems, methods, and computer-readable storage devices are disclosed for improving markerless motion analysis. One method including: receiving position data of joint centers of a body in motion captured by at least one camera; enhancing, using model equations, three-dimensional (3D) angular kinematic data of the position data of the joint centers of the body, wherein the enhanced 3D angular kinematic data includes increased measurement accuracy of the position data of the joint centers of the body; and providing the enhanced 3d angular kinematic data for display to evaluate motion performance.

The utility model provides a detachable cycling garment which comprises an upper garment body and a lower trouser body which can be separated from each other, the bottom of the upper garment body extends downwards to form an outer-layer elastic waist tube, and the inner wall of the outer-layer elastic waist tube is provided with a buckling groove body. The top of the lower body extends upwards to form an inner-layer elastic waist opening which can be covered by the outer-layer elastic waist cylinder, and the outer wall of the inner-layer elastic waist opening is provided with a buckling strip body which can be clamped and matched with the buckling groove body; the buckle strip body and the buckle groove body are both magnetic, the buckle strip body is provided with a first limiting part and a second limiting part which are perpendicular to each other, the buckle groove body is provided with a first protruding part and a second protruding part, and the first protruding part and the second protruding part are arranged on the groove bottom wall and the groove side wall which are perpendicular to each other on the buckle groove body respectively; when the buckle strip body is clamped and matched with the buckle groove body, the first limiting part abuts against the first protruding part, and the second limiting part abuts against the second protruding part. The utility model solves the problems that the one-piece riding clothes are inconvenient to wear and take off, and the aerodynamic performance is influenced by the split scheme.

1. The name of the design product: physiotherapy instrument. 2. The use of the design product: physiotherapy instrument main machine for body joint and muscle massage health care. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective drawing.

A multifunctional exercise apparatus for exercise of humans, in particular astronauts, said apparatus including a first module comprising a cable reel system operably connected to a torque resistance mechanism, and a second module comprising a flywheel and a brake for providing resistance to the flywheel. The ability provided by the present invention for developing exercises in which the flywheel and a brake in combination with the torque resistance mechanism provides for further possibilities for training body joints and muscle groups.

The application discloses a pedestrian abnormal behavior detection method based on a bidirectional trajectory prediction network, wherein a bidirectional trajectory prediction network is used to output the skeleton position of a pedestrian in each frame of a video, a loss function based on a body joint and posture is designed to train and optimize the bidirectional trajectory prediction network, and the skeleton position error between a predicted posture of the pedestrian and an actual posture is taken as an index to distinguish normal and abnormal events. The application identifies pedestrian abnormal events by evaluating the expectation of the pedestrian abnormal events in the video, outputs an abnormal score detected in each frame of the video, and supports visualization of a prediction result.

The present application relates to the technical field of rehabilitation equipment, and particularly relates to a whole-body joint rehabilitation training device and a control method thereof. The method of the present application comprises: collecting joint angles, IMU data and electromyographic signals when a user performs a plurality of standard actions; determining a joint range of motion risk level of a target joint according to the joint angles; determining a compensatory behavior risk level and a synergy efficiency score of the target joint according to the joint angles, the IMU data and the electromyographic signals; determining a training mode according to the compensatory behavior risk level, wherein the training mode at least comprises a general mode and a mode for compensatory behavior; determining a training parameter according to the joint range of motion risk level, wherein the training parameter comprises resistance; adjusting the training parameter according to the synergy efficiency score; and outputting the training mode and the adjusted training parameter. The method of the present application can improve rehabilitation efficiency and reduce compensatory behavior during training.

A method for detecting inflammation in a body joint of a subject, including: providing at least one thermal image of at least one body joint, wherein the at least one thermal image includes indications of temperature of the at least one body joint; marking at least one region of interest (ROI) in the at least one thermal image, wherein the marked ROI is a region in the at least one thermal image which includes pixels representing elevated temperatures and less elevated temperatures in the at least one thermal image; extracting values of one or more parameters of distribution of the temperature indications in the at least marked ROI; detecting inflammation in the body joint based on the extracted values.

The robot (100) comprises a body assembly (101) including a frame formed from at least one body joint assembly (104-110, 113, 115), and at least one pair of articulated linear actuators (202, 204, 206, 208, 210) forming the at least one body joint, the at least one pair of articulated linear actuators operating in combination and configured to adjust the at least one body joint assembly (104-110, 113, 115) in two degrees of freedom through differential linear actuation.