34 results about "Body joints" patented technology

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 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 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.

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 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.

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.

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.

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.

The utility model belongs to the technical field of bridge assembly, and provides a correction device for beam surface wet joint steel bar welding, which comprises annular ribs, a pinch bar, a lifting bar and a support rod, the annular ribs are arranged in a beam body joint, and the annular ribs are divided into low annular ribs and high annular ribs; the pry bar extends into a beam body joint in the longitudinal direction, the pry bar extends outwards in the radial direction to form a protruding block, the protruding block is arranged close to the lower end of the pry bar, the part, above the pry bar, of the pry bar is divided into a power arm through the protruding block, the part, below the protruding block, of the pry bar is divided into a resisting arm through the protruding block, and the side portion of the resisting arm is tightly attached to an upper transverse rib of a low annular rib; the lifting rod is transversely arranged on the side portion of the lower end of the resisting arm, the lifting rod and the protruding block are arranged in a staggered mode, and the length direction of the lifting rod is consistent with the length direction of the beam body joint. Annular ribs with different heights are corrected according to the lever principle, due to the fact that the arrangement positions of fulcrums are different, the corners of the end face of a cantilever of a beam body cannot be damaged while labor is saved, and the using effect is excellent.

The application provides an intelligent video teaching method and system for action recognition, comprising: obtaining historical learning information of a learner; obtaining and playing a learning video based on the historical learning information of the learner; wherein, in the process of playing the learning video, the position of a body joint of the learner is obtained in real time, the body action of the learner is judged, the playing progress of the learning video is controlled based on the body action of the learner; meanwhile, a face color image of the learner is obtained, the face key points in the face color image are identified based on the face color image of the learner, the mean value of left and right eye closure and the mouth opening angle are calculated based on the face key points, the head rotation angle is calculated based on the face color image, and the video playing content is updated based on the mean value of left and right eye closure, the mouth opening angle and the head rotation angle. The body control of the playing progress and the autonomous update of the playing content in online education are realized.

This disclosure describes systems, methods, and devices related to generating a three-dimensional full-body reconstruction using image data from a single camera. A method may include receiving first point cloud data from the camera, the point cloud data representing a person; identifying a first human body template, the first human body template representing body joints; generating, based on a comparison of the first human body template to the first point cloud data, parameters associated with the body joints; and generating, based on the parameters, a second human body template representing the person.

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 embodiment of the invention provides a robot and an operation method and device thereof, a storage medium and a program product, and the method comprises the steps: based on a joint dynamic model of the robot, a whole-body Jacobian matrix and at least one moment limiting condition, taking the joint moment of the whole-body joints as an optimization variable, determining priorities, task parameters and constraint parameters of a plurality of subtasks of the hierarchical quadratic programming task; according to the sequence of the priorities of the sub-tasks from high to low, the optimal joint torque of each sub-task is solved layer by layer by utilizing the accumulated null space of the sub-task of the upper layer; and based on the optimal joint torque obtained through final solving, whole-body joints of the robot are driven so as to control operation of the robot. According to the method, strict priority control and whole-body moment limitation are taken into consideration, by means of hierarchical solution of an accumulated null space, it is guaranteed that a low-priority task does not interfere with a high-priority task, and the stability and predictability when multiple tasks are parallel are remarkably improved.

1. Name of the designed product: Massage apparatus (three rows) 2. Use of the designed product: The designed product is used for massaging body joints. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

The application discloses a kind of whole body teleoperation methods of humanoid robot based on joint matching and intention recognition, comprising: collecting the first attitude data of operator upper body joint and the second attitude data of lower limb joint;First attitude data is mapped to each corresponding upper body joint of robot;Based on second attitude data, motion intention is extracted by hybrid hierarchical logic, and lower limb intention instruction is obtained;Based on lower limb intention instruction, the course reinforcement learning framework based on logarithmic attenuation mechanism is used as control strategy, and the control torque of each lower limb joint of robot is generated, to realize the lower limb teleoperation control of robot.The application is applied to the field of robot control, not only can completely liberate the hands and waist of operator, so that it obtains more teleoperation degrees of freedom, but also can make robot stable in actual teleoperation, avoid instability when facing large amplitude and rapid arm swing and other violent upper body inertia disturbance.

The invention discloses a full-dimensional defect detection method and related equipment for a humanoid robot, and the method comprises the steps: obtaining the posture data of the robot, and carrying out the whole-body joint cooperative control of the humanoid robot according to the posture data of the robot, so as to obtain the thermal imaging data, image data and three-dimensional point cloud data of target equipment; performing abnormal region identification on the thermal imaging data to obtain a middle defect region; performing feature extraction on the image data and the three-dimensional point cloud data according to the middle defect area to obtain image features of the image data and point cloud features of the three-dimensional point cloud data; according to the image features, performing single-dimensional feature fusion on the point cloud features to obtain a single-dimensional fusion result; and according to the robot attitude data, performing full-dimensional updating on the single-dimensional fusion result to obtain a full-dimensional defect detection result of the target equipment. According to the method, the accuracy and robustness of defect detection on the industrial equipment can be improved. The invention relates to the technical field of defect detection.

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 application provides a kind of based on echo sounder image's body joint width detection method and system, wherein the method comprises: obtaining the first echo sounder image containing target body, the first echo sounder image is input into preset echo sounder image processing neural network model, and the outline and the flap rotating frame corresponding to target body are determined, wherein the long side of the flap is perpendicular to the laying direction of target body;According to the outline corresponding to target body, the joint point and the boundary line of target body are determined, and the joint width of laying is determined according to joint point and boundary line.Because the flap has a significant feature in the echo sounder image, and the long side of the flap is perpendicular to the laying direction of the target body, the image information of the flap can better determine the boundary line of the target body, thereby improving the recognition accuracy of the echo sounder image and improving the generalization ability of the body joint width detection based on the echo sounder image.

The utility model discloses a shorts type wearing article, which is provided with a main body area and an end part area in an unfolded state, side sealing parts of the shorts-type wearing article are located in the end part areas, and each side sealing part comprises a main body joint part and a sealing and cutting part which extend in the longitudinal direction; the main body joint part is arranged on the transverse outer side of the sealing and cutting part; the sealing and cutting part comprises a sealing part and an easy-to-tear part, the sealing part and the easy-to-tear part are at least partially overlapped in the thickness direction, the sealing part is located on the base material of the side wings, and the easy-to-tear part is located on the outer packaging body of the front waist part; the proportion of the total first pattern distribution area of the main body joint part in the end part area is larger than the proportion of the total second pattern distribution area of the sealing and cutting part in the end part area. According to the embodiment of the invention, the main body joint part and the sealing and cutting part are integrally formed by adopting the same working procedure, so that the technical problems that phase deviation occurs in the equipment flow direction and the distance between the main body joint part and the easy-to-tear part cannot be well controlled due to the fact that two independent working procedures are respectively implemented in the prior art are solved.

A robot (100) includes a body assembly (101) that includes a frame formed of at least one body joint assembly (104-110, 113, 115); and at least one pair of joint linear actuators (202, 204, 206, 208, 210) that form the at least one body joint, the at least one pair of joint linear actuators (202, 204, 206, 208, 210) configured to operate in combination to adjust the at least one body joint assembly (104-110, 113, 115) in two degrees of freedom through differential linear actuation.

This application relates to the technical field of computer vision and sensor fusion, and discloses a multi-redundant embodied intelligent hand posture acquisition system based on optical-inertial fusion. The system includes a hardware acquisition subsystem and a data processing subsystem with communication connections. The hardware acquisition subsystem comprises a rigid body acquisition unit on the back of the hand and a rigid body acquisition unit on a wristband. Both units integrate an LED array and an inertial measurement unit (IMU). The wristband unit adopts a double-layer non-coplanar LED layout and a bone point positioning ratchet locking structure. The LEDs are equipped with independent binary blinking codes. The data processing subsystem includes modules for visual recognition, joint calibration, occlusion compensation, and fusion output. Spatial transformation relationships are obtained through dual-rigid-body joint calibration, and the global pose of the palm root joint is calculated from the wristband pose during occlusion. This system achieves continuous high-precision hand posture acquisition across all scenarios and is suitable for embodied intelligent remote control, robot motion capture, and other scenarios.

This invention discloses a method and related equipment for full-dimensional defect detection of a humanoid robot. The method acquires robot posture data and performs full-body joint coordinated control of the humanoid robot based on the posture data to obtain thermal imaging data, image data, and 3D point cloud data of the target device. Abnormal regions are identified in the thermal imaging data to obtain intermediate defect regions. Based on the intermediate defect regions, features are extracted from the image data and 3D point cloud data to obtain image features of the image data and point cloud features of the 3D point cloud data. Single-dimensional feature fusion is performed on the point cloud features based on the image features to obtain a single-dimensional fusion result. Based on the robot posture data, the single-dimensional fusion result is updated in all dimensions to obtain the full-dimensional defect detection result of the target device. This method can improve the accuracy and robustness of defect detection in industrial equipment. This invention relates to the field of defect detection technology.

The utility model discloses a shoe sole which comprises a first face part and a second face part which are oppositely arranged, the first face part and the second face part are arranged in a penetrating mode through face crystal lattices, and the face crystal lattices comprise a plurality of unit cells of a three-dimensional curved surface structure so that the supporting force and the deformation amplitude of the shoe sole can be enhanced at the same time. The surface lattice in the sole comprises the plurality of unit cells with the three-dimensional curved surface structures, so that the sole has high supporting performance and elastic cushioning effect at the same time, and meanwhile, the through gap structure of the surface lattice can bring large enough deformation space to enhance cushioning limit and cushioning performance of the midsole, so that the sole is more comfortable to wear. The sole effectively protects body joints of a sporter from being damaged, the sole is manufactured through the additive manufacturing and supercritical foaming process, the overall weight of the insole is remarkably reduced, light and comfortable foot feeling can be provided, meanwhile, the gap density of all areas of the sole can be adjusted according to user data, the foot feeling requirement of a user is better met, and the user experience is improved. In addition, the unique sense of beauty in the form of laminated grains is also formed.

An integrated photo-video volumetric capture system for 3D / 4D scanning acquires both 3D and 4D scans by simultaneously acquiring images and video. A volumetric capture system for high-quality 4D scanning and mesh tracking is used to establish topological correspondences across mesh sequences of 4D scans to generate corrected shapes for shape interpolation and skeleton-driven deformation. The volumetric capture system aids mesh tracking to maintain mesh registration (topological consistency) and facilitates extreme pose modeling. It is able to identify major upper and lower body joints, which are important for generating deformations and capturing the same deformation using a wide range of motion types across all joint categories. Topological changes are tracked using the volumetric capture system and mesh tracking. Each captured pose will have the same topological structure, making blending between multiple poses easier and more accurate.

Disclosed herein are a method for providing full-body motion interaction using multiple mobile cameras and an apparatus for the same. The method, performed by the apparatus, includes estimating a joint outside the field of view of a user camera by using self-joint detection information captured by multiple user cameras mounted on a user, searching for the camera of an additional user located in the same space as the user based on landmark information extracted from images captured by the multiple user cameras, selecting candidate joint information for the joint outside the field of view of the user camera in other-user joint detection information captured by the camera of the additional user, reconstructing full-body joints of the user by combining estimated joint information with the candidate joint information, and providing interaction for a full-body motion of the user based on the reconstructed full-body joints.

A wheel-legged robot is considered as nth-order inverted pendulum model including a wheel, n links, and n revolute joints. First links are from at least two leg mechanisms of the wheel-legged robot. The wheel is from mobile wheels respectively connected to the at least two leg mechanisms. A balance control method for the robot includes: obtaining an actual state vector of the wheel-legged robot at a first moment; calculating an equivalent state vector at the first moment based on the actual state vector at the first moment; establishing a sliding surface based on the equivalent state vector at the first moment; determining a force and torque instruction for whole-body joints based on the sliding surface, the equivalent state vector at the first moment, and a dynamics equation of the wheel-legged robot; and separately controlling the n revolute joints at a second moment according to the force and torque instruction.