460 results about "Body shape" patented technology

The invention provides a seat comfort optimization calculation method based on a sensor and AI modeling, and the method comprises the steps: collecting the pressure distribution data of the sitting posture of a passenger and a spine contact area in real time through an attitude sensor and a pressure sensor which are disposed on a seat; a seat supporting area is divided into a cervical vertebra area, a thoracic vertebra area, a lumbar vertebra area and a sacrococcygeal area, and a pressure distribution prediction model of each area is established; constructing an input vector based on the average pressure, the maximum pressure, the pressure gravity center, the body type parameter and the pathological weight factor, and outputting a target support pressure value, a pressure avoiding curve and a neighbor cell migration proportion of each partition by using an artificial intelligence model; dynamic adjustment is achieved through the partitioned air bag and the driving unit, and secondary fine adjustment and protection are achieved in combination with feedback monitoring. The system comprises a posture sensing module, a pressure sensing module, a data processing module, a model building module, a regulation and control execution module and a feedback monitoring module, and self-adaptive regulation and control of different areas of the spine of a passenger can be achieved.

The invention relates to the technical field of rehabilitation medicine, in particular to a body carving slimming method for fat metabolism based on bioelectricity feedback and acupoint stimulation. The invention provides a body carving slimming method based on bioelectricity feedback and acupoint stimulation. The body carving slimming method comprises the four steps of obtaining, processing, acupoint stimulation and outputting. Bioelectricity signals and weight data of body parts of a user are collected through a bioelectricity and weight detection device. The muscle activity state and fat distribution are analyzed, a posture improvement value is calculated, and a personalized body carving training scheme is generated. In an acupoint stimulation link, electrical stimulation is performed on a specific acupoint according to the scheme, bioelectricity feedback is monitored in real time, and stimulation parameters are dynamically adjusted. And generating a personalized report containing the posture change and the training effect evaluation, and providing suggestions to the user. According to the method, the effect, safety and individuation are remarkably improved, and a new direction is opened up for development of the body carving and slimming field.

The invention relates to an editable human body reconstruction method and system based on three-dimensional Gaussian splashing, and the method converts a dynamic human body reconstruction problem into a reconstruction problem of a static template human body in a standard space, achieves the respective decoupling of the shape and the appearance through a mode of constructing the mapping of a three-dimensional Gaussian model and a parameterized human body model, and achieves the reconstruction of the human body. Human body reconstruction in an editable form is achieved, and the editable form comprises the steps that geometric editing is achieved by changing a body shape coefficient and a pose coefficient in the parameterized human body model; and replacing the vertex mapped three-dimensional Gaussian point cloud in the editable three-dimensional Gaussian model to realize texture editing. Compared with the prior art, the method solves the problem that personalized editing cannot be carried out on the human body model based on three-dimensional Gaussian splashing in the prior art.

The present invention discloses an AI-based automatic acupoint recognition and positioning system and method, the system comprises an AI server, an image acquisition device, a body shape recognition and comparison module, an AI acupoint recognition module and an acupoint projection module; the AI ​​server is used to establish at least one sample model according to a pre-collected three-dimensional image of a human body shape, wherein the three-dimensional image of the human body shape contains acupoint marking points of various parts of the human body; the image acquisition device is used to collect a three-dimensional target image of the patient's body shape when the positions of various acupoints on the patient's body need to be positioned; the body shape recognition and comparison module is used to compare the three-dimensional target image with multiple three-dimensional images of human body shapes of at least one sample model in the AI ​​server to determine whether the three-dimensional target image can match the size ratio of any three-dimensional image of human body shape; the AI ​​acupoint recognition module uses the matched three-dimensional image of human body shape as a reference to determine the positions of acupoints of various parts of the patient's body; the acupoint projection module is used to project the acupoint marking points of various parts of the human body displayed by the matched three-dimensional image of human body shape to various positions on the patient's body skin surface. Effect: AI technology can quickly and accurately locate acupoints, can adapt to different groups of people, can realize the visualization and intuition of acupoint positioning, and can more easily help people who need to quickly and accurately locate acupoints.

The invention discloses an X-ray machine inspection parameter automatic configuration system for pet inspection, and relates to the technical field of medical imaging equipment, a displacement prediction model is used for pre-judging a pet convulsion state before exposure, a dynamic exposure trigger is only activated in a stable interval, and motion blur is avoided from the source; compared with the scheme of relying on post-exposure image feedback adjustment in the prior art, invalid radiation and repeated exposure operation can be avoided; the partition parameter mapping module is combined with a species feature database to map the gray level of the preview image into equivalent thickness and independently generate region parameters; aiming at extreme body type difference, such as an abdominal fat layer of an obese dog and a rib region of an emaciated cat, the system automatically distributes differentiated kV / mA parameters, and the problem of overexposure or underexposure caused by a traditional fixed penetration rate standard is eliminated; and the radiation fusing unit monitors the accumulated dose in real time, dynamically adjusts a safety threshold according to the weight of the pet, and stops exposure before the dose exceeds the limit.

The present application relates to the field of medical devices, and provides a back plate adjustable exoskeleton, comprising: a column structure and a control module, the column structure is slidably connected with a back plate mechanism, and a lower limb exoskeleton connected with the back plate mechanism, and the back plate mechanism is provided with a back plate which can move up and down relative to the back plate mechanism; further comprising: a binding device arranged on the lower limb exoskeleton and a foot bottom exoskeleton, the foot bottom exoskeleton is provided with a pressure sensor. When the human body wears the exoskeleton and changes from a sitting posture to a standing posture, the back plate mechanism adjusts the back plate mechanism along the column structure to the height matched with the user according to different body shapes of the user; and when the user changes the posture in the walking process in the standing posture, the foot bottom exoskeleton detects the change of the foot bottom pressure, so that the control module can control the up and down movement of the back plate relative to the back plate mechanism according to the foot bottom pressure to adjust the human body posture.

The invention relates to the technical field of crossing of artificial intelligence and sports science, in particular to a motion posture evaluation method and system based on artificial intelligence, and the method comprises the following steps: S1, multi-modal motion data collection: collecting a motion video of a user through a camera device, and synchronously obtaining basic information of the user; according to the motion posture evaluation method and system based on artificial intelligence, 9 types of core parameters are extracted by collecting 3-5 basic motions, dynamic mapping rules of the parameters and evaluation standards are established by combining age and injury history dynamic correction standards, individual differences such as height, body type, motion basis and rehabilitation progress are adapted, and the evaluation accuracy is improved. According to the method, users of different body types can obtain safe and efficient evaluation direction guidance according with own physiological structures, the body type related evaluation misjudgment rate is reduced, sports injuries caused by disjunction of the evaluation direction and the body type are avoided, meanwhile, the users can more easily reach the action standard matched with themselves, and the obtaining feeling and effect of training and rehabilitation are improved.

The invention relates to a positioning and fixing device for tumor radiotherapy, and belongs to the technical field of medical instruments. In order to solve the problems of poor radiotherapy effect, body burden of a patient and the like caused by the influence of the body shape change of the patient on radiotherapy positioning at present, a headrest checking mechanism, a mold forming mechanism, a trunk wrapping and fixing mechanism, a lower limb limiting mechanism and a main controller are arranged, and the headrest checking mechanism corresponds to the head position of the patient in a lying position; the mold forming mechanism is adjacent to the headrest checking mechanism, the trunk wrapping and fixing mechanism is arranged above the mold forming mechanism, the lower limb limiting mechanism is arranged at the end, close to the tail, of the mold forming mechanism, and the main controller is arranged at the rear end of the lower limb limiting mechanism; the main controller is in communication connection with the headrest checking mechanism, the mold forming mechanism and the trunk wrapping and fixing mechanism. The device can be adaptively adjusted according to the posture of a patient, so that the influence of the body shape change of the patient on the radiotherapy precision is avoided, and the radiotherapy positioning time and the workload of doctors are shortened.

A trajectory information processing method includes: generating an object geometry of a first object based on a body shape feature of the first object, the object geometry including a plurality of local geometries, and the local geometries surrounding at least one part of the first object; obtaining object trajectory information of a second object, and migrating the object trajectory information of the second object to the object geometry, to obtain object trajectory information of the object geometry; determining a plurality of collision points at which the local geometries collide during interaction, and determining collision occurrence positions of the plurality of collision points; performing position adjustment to obtain collision avoidance positions of the plurality of collision points; and correcting the object trajectory information of the object geometry based on the collision occurrence positions and the collision avoidance positions, to obtain object trajectory information of the first object.

The invention discloses a body accessory automatic adaptation method for a personalized body type of a digital human, and the method comprises the steps: constructing an SMPL human body model, setting a standard SMPL human body model in a reference form, and generating a target SMPL human body model according to the change state of a set target body type; making a corresponding body accessory model based on the standard SMPL human body model; constructing an RBF (Radial Basis Function) interpolation function according to the displacement change of the vertexes of the related parts of the human body from the standard SMPL human body model to the target SMPL human body model, inputting the coordinates of the vertexes of the body accessory model into the interpolation function to obtain new vertex coordinates of the body accessory model, and outputting the new vertex coordinates of the body accessory model to the target SMPL human body model. The body accessory model and the skeleton joint points are matched with the target SMPL human body model. According to the method provided by the invention, automatic adaptation of the body accessory and the digital human body shape change is efficiently and accurately realized, and the sense of reality and interactivity of the digital human are effectively improved.

The invention provides a pelvis inclination and lower limb posture anomaly detection method based on a body measurement all-in-one machine, and the method comprises the steps: collecting an original image of the body shape of a detected person through a multi-view camera array, carrying out the brightness adjustment and contrast enhancement, obtaining an image fuzzy index, judging the image fuzzy degree through a preset brightness comparison threshold value, and obtaining a detection result. Evaluating to obtain initial ambiguity and setting ambiguity tolerance; if the initial ambiguity exceeds a preset ambiguity threshold, increasing an edge enhancement coefficient to a specified range to obtain an enhanced first image data set; and extracting a pelvic front rake value and a left-right tilt offset from the smoothed angle data, performing vectorization to obtain a feature vector, determining a pelvic tilt state category according to the feature vector, and obtaining a preliminary pelvic tilt state evaluation result.

The invention discloses an active reminding type wearable device for scoliosis correction, which belongs to the technical field of scoliosis and comprises a monitoring regulator and a plurality of reminders. The monitoring regulator is composed of an angle sensing module, a horizontal detection module and a logic processing module and used for detecting angle changes of the shoulder and back detection line and the crista iliaca detection line and comparing the angle with a target range. When deviation is detected, the logic processing module sends a signal to the reminder through the communication module, and the reminder feeds back in a vibration or low-frequency stimulation mode to induce the wearer to actively adjust the body position. The device overcomes the defects of passive correction, enhances the correction effect, has static and dynamic correction functions, and monitors the posture change of a patient in a motion state in real time. The portable design improves the wearing comfort and compliance, is suitable for patients with mild scoliosis and poor postures, is especially suitable for children groups, helps to correct the posture, enhance the muscle force and form good posture habits, and significantly improves the treatment effect.

The invention relates to the technical field of livestock and poultry intelligent breeding, and discloses a laying hen body type and weight evaluation method and system based on image recognition, and the method comprises the steps: obtaining laying hen behavior video data and environment parameter data; processing the video data, identifying the behavior mode of the laying hens, analyzing the relevance between the environmental parameter data and behaviors, and establishing state representation; constructing a strategy network, realizing stress state detection and optimal evaluation opportunity automatic selection, and extracting body shape features in a stable attitude; constructing a body weight evaluation model by using the body shape characteristics at the selected time and combining the identified behavior state information; learning feature distribution of a normal evaluation process of the body weight evaluation model, and detecting an abnormal evaluation result through double indexes of reconstruction error and probability deviation; through fusion of behavior analysis, environment perception and quality control, high-precision and high-reliability evaluation of the body type and weight of the laying hen is realized.

According to the scoliosis dynamic auxiliary orthopedic supervision device and method, the training action video data of the user are collected, a solid foundation is laid for follow-up construction of a personalized motion model and accurate scoring, capture of the user actions by the device is more suitable for an actual training scene, and the training efficiency is improved. A standard rehabilitation training video is analyzed based on a computer vision technology to construct a reference motion model, the professionality and reliability of the device for normative judgment of training actions are improved, the reference motion model is optimized based on the difference between a user body and a standard body, a personalized standard motion model is obtained, and the user experience is improved. According to the method, the evaluation standard better fits the actual situation of the user, the training action video data of the user is analyzed based on the personalized standard motion model, the difference between the user action and the standard action suitable for the user, the accurate action score and the targeted evaluation result can be more accurately captured, the rehabilitation training quality can be improved, and the rehabilitation training efficiency is improved. The process of scoliosis correction is accelerated, and the correction effect is better achieved.

The invention discloses a seat pre-adjustment control method based on embedded CNN waist-hip trajectory dynamic tracking, and the method can achieve the precise prediction of the motion intentions of people with different heights through the construction of a height proportion change curve, effectively eliminates the motion recognition error caused by the height and body type difference of different individuals, and improves the accuracy of the motion recognition. The method enhances the refinement of seat control, and reflects the change of the action stage of the target person by setting the track slope, thereby recognizing the transition of the target person from sitting down to stable sitting posture and from sitting posture to getting up in different action stages, predicting the next trend of the action in advance, effectively improving the prediction accuracy of the action intention, and improving the user experience. The seat system can make a response when the action starts, and the situation that the comfort is affected due to delayed adjustment is avoided.

The invention provides an intelligent motion generation method, an intelligent motion generation system, electronic equipment and a computer readable storage medium, in the intelligent motion generation method, motion feature data are mapped and aligned to a virtual human skeleton structure, a preliminary motion sequence is obtained, and in addition, the motion feature data are mapped and aligned to the virtual human skeleton structure; and according to the virtual human skeleton structure and the preliminary action sequence, optimizing the action of the virtual human skeleton structure, and outputting an optimized action sequence, so that after the preliminary action sequence is obtained according to a redirection strategy based on the frame sequence of the video of the human body motion, the motion of the virtual human skeleton structure is optimized. And an optimized action sequence obtained by optimizing the preliminary action sequence can be more matched with the body shape of the virtual human.

In magnetic resonance imaging, shape estimation is used to limit patient burns. A localizer image or scout scan is used to determine some of the patient shape and corresponding position. A missing part, such as the arm not in the scout scan field of view, is inferred from the localizer image. The position of the inferred body part is used to predict the risk of burn, allowing generation of a warning to reposition the patient and / or change the scan settings.

The invention discloses a real-time acupuncture point mapping method based on a bone degree deflection method and a human body posture key point model, and relates to the technical field of traditional Chinese medicine digitization. According to the real-time acupuncture point mapping method based on the bone degree discount method and the human body posture key point model, acupuncture point coordinates are calculated by combining the standard bone degree discount proportion with the objective distance between the human body posture key points, traditional empirical positioning is converted into datamation and standardization calculation, personal errors are reduced, BMI parameters are introduced to formulate a BMI interval correction table, and the real-time acupuncture point mapping accuracy is improved. The three-dimensional coordinates of the acupoints are accurately corrected through the coordinate correction coefficient, it is ensured that acupoint mapping of users of different body types is highly matched with the actual subcutaneous position, the purpose of improving the acupoint positioning effect is achieved, a corresponding acupoint mapping template is selected according to the judgment result of the human body orientation, a real-time AR picture is generated in an AR superposition rendering mode, and the user experience is improved. And real-time mapping of human body acupuncture points is realized.

The invention provides an intelligent lumbar anesthesia puncture guiding method and device, which are applied to a lumbar anesthesia puncture needle, and the method comprises the following steps: obtaining case information of a puncture object, and preprocessing the case information; the preprocessed case information is input into a trained puncture prediction model, a predicted puncture path is obtained, and the predicted puncture path comprises a predicted puncture point position, the predicted puncture depth of each tissue layer, a predicted pressure threshold value and a predicted puncture angle; guiding a spinal anesthesia puncture needle to puncture according to the predicted puncture path; wherein the puncture prediction model is specifically a deep neural network model, and the puncture prediction model is obtained by training an initial model through sample case information marked with a corresponding puncture path prediction result in advance. In combination with the artificial intelligence model, the puncture path is individually recommended based on patients of different ages and body types, the accuracy of the puncture point location and the success rate of one-time puncture are improved, the operation time is shortened, and the patient experience and safety are improved.

Provided are virtual try-on applications, telepresence applications, relating to modeling realistic clothing worn by humans and realistic modeling of humans in three-dimension (3D). Proposed is a hardware comprising software products that perform method for imaging clothes on a person, that is adapted to the body pose and the body shape, based on point cloud draping model, the method including using of point cloud and a neural network that synthesizes such point clouds to capture / model the geometry of clothing outfits, and using of point based differentiable neural rendering to capture the appearance of clothing outfits.

The invention relates to the field of furniture control, and discloses an intelligent massage armchair control method based on posture recognition, comprising a multi-modal sensing fusion module which collects vision, pressure and millimeter-wave radar data through a sensor, constructs a three-dimensional body contour value of a user, and sends the three-dimensional body contour value to the multi-modal sensing fusion module; data are transmitted to an individual feature recording module based on the collected vision, pressure and millimeter wave radar data; and the individual feature analysis module is used for receiving the information acquired by the multi-modal sensing fusion module, judging the body shape of the user by using a K-means clustering algorithm according to the information, and then selecting a preset scheme according to the body shape information of the user to carry out matching judgment on the sitting posture of the current user. According to the invention, data of the infrared camera, the pressure sensor and the millimeter wave radar are integrated through the multi-modal sensing fusion module, multi-dimensional sensing of a visual contour, pressure distribution and a skeleton structure is realized, and the problem of key feature point extraction deviation caused by body type difference of a single camera is effectively solved.

Described are systems and methods to determine one or more regional body composition values for one or more regions of a body based on a processing of one or more two-dimensional images that include a representation of the body. Regional body composition values may include any of a fat tissue mass, a lean muscle mass, a bone mineral density, a skeletal muscle mass, etc., which may be determined for any one or more regions of the body, such as the right arm, left arm, right leg, left leg, trunk, android, gynoid, etc.

The invention relates to a physical training scheme generation method and system for limb feature recognition, and relates to the field of physical training, and the method comprises the steps: collecting a skeleton topological portrait and a body shape proportion portrait of a target user; retrieving a joint number list and a joint standard time sequence coordinate list of the to-be-trained motion type meeting the portrait; when the target user is trained, the joint training time sequence coordinate list is extracted and compared with the joint standard time sequence coordinate list to obtain a joint time sequence deviation coordinate list; traversing the joint time sequence deviation coordinate list to count a time proportion list of which the coordinate deviation distance is greater than or equal to a deviation distance threshold value; the joint number set with the moment proportion larger than or equal to the moment proportion threshold value is extracted, the joint number set is input into the action matching library to execute abnormal action configuration to obtain an abnormal action set, a physical training scheme is configured, and the technical problems that due to the fact that physical training neglects individual body difference, monitoring precision is insufficient, and the individualization degree of the physical training scheme is poor are solved.

The invention provides a human body acupoint searching and positioning method based on a digital traditional Chinese medicine large-size model, which comprises the following steps of: establishing a standard meridian template by taking national standard meridian and acupoint positioning as a reference, and mapping the template to a parameterized three-dimensional human body grid to form a standard digital traditional Chinese medicine large-size model; the method comprises the following steps: collecting body surface point cloud data of an acupuncture part of a patient, carrying out denoising, hole filling and down-sampling preprocessing on the point cloud data, and then carrying out non-rigid registration on the point cloud data and a standard digital traditional Chinese medicine human big model to obtain an individualized meridian-acupoint model consistent with the current posture and body type of the patient; marking anatomical mark points in the individualized meridian-acupoint model as reference feature points, and establishing a relative position function relationship between the reference feature points and a target acupoint according to a traditional Chinese medicine bone degree division method; a real-time image of the body surface of the patient is obtained through the visual sensing unit, the actual pixel coordinates of the reference feature points are recognized, and the actual three-dimensional coordinates of the target acupuncture point on the body surface of the patient are calculated and output in combination with the relative position function relation.

The invention relates to the field of medical apparatus and instruments, and provides an exoskeleton with an adjustable backboard, the exoskeleton comprises a column structure and a control module, the column structure is slidably connected with a backboard mechanism and a lower limb exoskeleton connected with the backboard mechanism, and the backboard mechanism is provided with a backboard capable of moving up and down relative to the backboard mechanism; the binding device and the plantar exoskeleton are arranged on the lower limb exoskeleton, and the plantar exoskeleton is provided with a pressure sensor. When a human body wears the exoskeleton and is changed into a standing posture from a sitting posture, the back plate mechanism is adjusted upwards to the height matched with a user along the stand column structure according to different body types of the user; when the user walks in the standing posture state, the posture of the human body changes, at the moment, the plantar exoskeleton detects the change of plantar pressure, and the control module can control the back plate to move up and down relative to the back plate mechanism according to the plantar pressure so as to adjust the posture of the human body.

Artificial reality (XR) experiences today typically only provide users representations of their upper body (e.g., as avatars). Although legs do not have a high range of movement or expression in XR, they are required to bring a sense of believability to digital humans represented in XR. However, tracking legs can be difficult because they are frequently not visible to XR device cameras. Aspects of the present disclosure provide a full body synthesis system that can generate plausible full body poses of users by leveraging generative machine learning, in real time, on an XR device. The full body synthesis system can be flexible to multiple numbers and types of inputs (e.g., positions / rotations / accelerations of joints, computer vision models, etc.), and can generalize users of any height, body scale, and body shape.

Artificial reality (XR) experiences today typically only provide users representations of their upper body (e.g., as avatars). Although legs do not have a high range of movement or expression in XR, they are required to bring a sense of believability to digital humans represented in XR. However, tracking legs can be difficult because they are frequently not visible to XR device cameras. Aspects of the present disclosure provide a full body synthesis system that can generate plausible full body poses of users by leveraging generative machine learning, in real time, on an XR device. The full body synthesis system can be flexible to multiple numbers and types of inputs (e.g., positions / rotations / accelerations of joints, computer vision models, etc.), and can generalize users of any height, body scale, and body shape.

The application provides a virtual reality display method and system of a rehabilitation robot based on image segmentation, and relates to the technical field of virtual display. The method can determine an intermediate 3D human body model according to an external body feature vector corresponding to a target user and an external body feature vector corresponding to a preset 3D human body model, determine a target 3D human body model according to a first bone feature vector corresponding to the target user and a second bone feature vector corresponding to the intermediate 3D model, drive the target 3D human body model to perform synchronous movement according to decomposed actions completed by the target user when performing a training task, and mark each decomposed action using a difficulty level label. The method effectively reduces the influence of external factors such as clothing and accessories of the target user on data collection and processing, can more accurately restore the real action details of the target user, is beneficial to improving the user experience, avoids a complex reconstruction process of three-dimensional point cloud data, and reduces the consumption of computing resources.

The present application belongs to the technical field of outdoor equipment, and discloses a back frame, which comprises a back plate, a supporting strip, a shoulder strap and a waistband. The back plate comprises a back plate body, which abuts against the back of a human body. The supporting strip can be attached to the back of the human body and is installed on one side of the back plate body abutting against the back of the human body. The shoulder strap comprises a first shoulder strap body and a second shoulder strap body, which are installed on one side of the back plate body away from the supporting strip in a height-adjustable manner and are bent towards the direction of the supporting strip to form a shoulder accommodating space, and the inner diameter of the shoulder accommodating space can be adjusted. The waistband comprises a waistband body, which is installed on the back plate body, and a part of the waistband is connected to the shoulder strap. The waistband body is buckled to form a waist accommodating space, and the inner diameter of the waist accommodating space can be adjusted. The back frame can be adjusted according to the height and body shape of a user, thereby avoiding uneven stress on the waist, back and shoulders of the user and reducing the fatigue of the user.

The application provides a body shape trait evaluation method and system of Procypridium, and relates to the technical field of body shape evaluation; the method comprises the following steps: selecting a plurality of Procypridium that reach a preset weight, implanting PIT chips of different numbers into the bodies of the plurality of Procypridium for individual marking, and continuing to breed the Procypridium according to preset breeding conditions for a set number of days; photographing the plurality of Procypridium that reach the number of breeding days to obtain a plurality of Procypridium images; performing contour processing on the plurality of Procypridium images to obtain a plurality of body shape trait outer contours; performing difference calculation on the plurality of body shape trait outer contours through a Procrustes analysis algorithm to obtain a plurality of Procrustes distances, and converting the plurality of Procrustes distances into indexes for evaluating the body shape of the Procypridium. The body shape trait evaluation of the Procypridium is freed from subjective judgment based on naked eye observation, and scientific evaluation and accurate screening based on quantitative genetics are realized in the breeding process.