250 results about "Body shape" patented technology

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.

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 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.

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 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 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.

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.

This utility model relates to the field of home furnishing technology, specifically to a mattress support structure that adapts to the human body curve. It includes a support layer composed of several elastic pockets, each containing several ellipsoids. The arrangement of multiple elastic pockets, each containing several ellipsoids, forms a multi-unit, collaboratively responsive adaptive human body curve support system. When pressure is applied by the human body, the elastic pockets undergo localized deformation, and the internal ellipsoids can shift and slide within the elastic pockets, rearranging and redistributing the support force. This effectively adjusts the distribution of support force, achieving personalized adaptive support to different body shapes and sleeping positions, thus improving comfort. It effectively avoids common problems in traditional mattresses, such as failure to adapt to the human body curve, insufficient fit leading to localized pressure or unsupported areas.

This invention discloses a method for screening the risk of congenital scoliosis. The method includes: acquiring a back surface image of the subject, which reflects the surface morphological distribution of the back region; preprocessing the back surface image to obtain a standardized surface image to reduce the influence of differences in acquisition posture, imaging conditions, or subject body shape; based on the standardized surface image, constructing surface morphological feature information for congenital scoliosis risk screening, which includes at least the left-right symmetry of the back, the state of spinal midline deviation, or the trend of surface morphological changes; inputting the surface morphological feature information into a pre-trained congenital scoliosis risk screening model to generate congenital scoliosis risk screening results. This invention can achieve objective and consistent congenital scoliosis risk screening.

The application discloses a simulation fabric simulation fitting method based on virtual reality, and belongs to the technical field of virtual fitting, and the method comprises the following steps: acquiring body shape parameters of a user; constructing a three-dimensional human body model of the user based on the body shape parameters; determining a fabric required by the user, obtaining tensile property data of the fabric for different types of fabrics; simulating the tensile, bending and shearing behaviors of the fabric based on the tensile property data of the fabric; and performing rendering processing on the fabric and enhancing the visual effect by using a Phong reflection model. The application provides a solution to overcome the limitations of existing simulation fabric simulation fitting.

The invention relates to a method, device and equipment for positioning channels and collaterals based on three-dimensional point cloud information, and the method comprises the steps: generating a pseudo-color space through extracting depth information according to human body three-dimensional point cloud data, extracting a human body foreground region in the pseudo-color space, and segmenting and projecting the human body foreground region according to a human body proportion and a topological relation. Generating central coordinates of each region of the human body, obtaining a human body center line, and generating human body back meridians according to the human body center line and the human body foreground region through a traditional Chinese medicine meridian equal-body-cun theory. According to the method, multi-layer grid aggregation calculation can be adopted, point cloud noise interference is effectively suppressed, and the stability of generated coordinates is improved; based on the equal-body-size principle of traditional Chinese medicine, different human body shapes are automatically adapted through percentage grid positioning; and a center line among the head, the neck and the waist can be accurately obtained, and a reliable reference is provided for calculation of human body back meridians and collaterals.

This application provides a method for detecting pelvic tilt and lower limb posture abnormalities based on a body composition analyzer, comprising: acquiring original images of the subject's body shape through a multi-view camera array, adjusting brightness and enhancing contrast to obtain an image blur index, judging the degree of image blur by a preset brightness contrast threshold, evaluating the initial blur and setting a blur tolerance; if the initial blur exceeds the preset blur threshold, increasing the edge enhancement coefficient to a specified range to obtain an enhanced first image dataset; extracting the pelvic anterior tilt angle and left and right tilt offset from the smoothed angle data, quantizing them to obtain a feature vector, determining the pelvic tilt state category based on the feature vector, and obtaining a preliminary pelvic tilt state assessment result.

The invention discloses a local skeleton projection fusion method for digital clothing re-adaptation, which comprises the following steps of: taking a source digital role model which wears source clothing and is bound with a source skeleton system and a target digital role model which is bound with a target skeleton system as input, and generating target clothing which is matched with the posture and the body type of the target digital role model; the method comprises the following steps: constructing a local skeleton projection fusion representation, and geometrically representing a garment as linear fusion of projection results of the garment in each skeleton local coordinate system; on the basis, a local residual variable is introduced into a skeleton local coordinate space and iterative optimization is carried out, so that fine adjustment of clothing geometry is realized; meanwhile, a target function is constructed by combining contact constraint, shape keeping constraint and regularization terms, the collision relation and the fitting relation between the clothes and the target role model are optimized, clothes re-adaptation between different digital role models is achieved, and geometric detail features of the clothes are kept.

The utility model discloses a novel bone fracture plate for treating bone nonunion of humerus, which relates to the technical field of bone fracture plates, and comprises an internal connection rotating piece mounted in a bone fracture plate main body, according to the device, the internal connecting rotating piece is installed, the inclined face of the internal connecting rotating piece is matched with the angle adjusting piece with the inclined face, and therefore a doctor only needs to rotate the angle adjusting piece and the internal connecting rotating piece when needing to obliquely install a connecting screw, and the angle adjusting piece rotates around the axis (namely the rotating axis) of a connecting boss; meanwhile, the internal connection rotating part is rotated, so that the inclined plane position of the internal connection rotating part is spatially changed, the angle of the angle adjusting part of the inclined plane can be adjusted, the mounting angle of the connecting screw can be changed to a certain extent, the angle of the connecting screw of the device can be adjusted, and the device can be adjusted according to the age and the body shape of a patient. Therefore, a doctor can select a proper angle to obliquely hit a screw at a proper position to connect the screw.

An apparatus to facilitate torso exercises includes a base frame, and a leg support member coupled to the base frame to rotate about a first vertical axis, supporting a user's legs during the torso exercises. A rotation mechanism is configured to allow rotation of the leg support member along the first vertical axis relative to the base frame. The leg support member includes a pair of cavities configured to accommodate tibias during the torso exercises, to enable the user to apply torque and rotation through the femurs. Further, the design of the chest support member facilitates adjustability of the chest support member in forward- backward direction, and upward-downward direction to account for different body shape and size of the user. The apparatus facilitates the user to perform exercises in a quad-pad position, by moving the chest support member out of a region occupied by the user.

The application discloses a Tai Chi action posture recognition and deviation correction training system and relates to the technical field of action recognition and sports training, and solves the technical problems that it is difficult to quantitatively recognize the coherence of Tai Chi actions, the guidance lags behind the actions, and the template does not match the body shape of a user. The system comprises a posture acquisition module, which acquires a user bone frame sequence and a joint angular velocity change rate; a motion trend prediction module, which adopts a rotation matrix to predict the head and a forward kinematics chain to recursively output a next frame prediction coordinate; a ghost generation module, which sets a differential matching window according to four stages of Tai Chi, generates a semi-transparent ghost by performing size normalization mapping on a three-bone segment group scale factor weighted by square roots of joint numbers, and performs size normalization mapping on a three-bone segment group scale factor weighted by square roots of joint numbers; a deviation perception module, which constructs a dynamic weight smoothness penalty term to generate a deviation correction signal; and a multi-modal feedback execution module, which maps a deviation amount into a line color and a vibration parameter, and outputs feedback according to the time sequence of vision, touch and voice.

The invention discloses an X-ray machine intelligent examination scheme creation method based on pet identity recognition, and relates to the technical field of veterinary diagnostic images.The method has the advantages that variety-specific artifacts are accurately inhibited, modeling is performed through breathing movement driven by skeleton points, high-frequency vibration noise is separated, dynamic blurring of a trachea area of a short-nose dog is eliminated, and the accuracy of the examination scheme is improved. The tiny lesion detection capability is improved; the limitation of a single angle threshold value is avoided by adopting a composite geometric criterion, so that pets with different body types can be clearly imaged under abnormal body positions; full-process identity data binding, biological characteristic penetration scanning protocol formulation, radiation protection and data storage links are provided, real-time association of images and individual medical records is ensured, and manual checking errors are avoided; a block chain evidence storage mechanism is introduced to meet the electronic medical record compliance requirement of a diagnosis and treatment institution, and cross-institution data security sharing is realized; historical parameters are automatically loaded, repeated debugging is reduced, new pets are rapidly initialized through a variety parameter library, and the equipment preparation time is remarkably shortened.

The utility model provides an adjustable fracture reduction instrument, which relates to the technical field of medical instruments and comprises a fracture reduction instrument component, adjusting components are arranged at two ends of the fracture reduction instrument component, a supporting component is arranged at the top of the fracture reduction instrument component, and the fracture reduction instrument component comprises a supporting column. And supporting rings are symmetrically mounted on the outer side of the supporting column. The adjusting rods slide in the two ends of the supporting column by rotating the fastening bolts to be loosened, timely adjustment is facilitated according to the body shape of a patient, when the adjusting rods move to the proper positions, the fastening bolts are rotated, the fastening bolts are connected with the friction pads, the adjusting rods are limited advantageously, and the adjusting effect is improved. The fracture reduction instrument assembly is simple in structure and convenient to operate, can be quickly adjusted to a proper length, accurately meets the surgical operation requirement, further guarantees the fracture reduction accuracy of the fracture reduction instrument assembly, does not need complex tool assistance or long-time cooperation of multiple persons, and improves the reduction accuracy.

An information processing device includes: a formation unit configured to analyze relative positions of dots as measurement markers that expand and contract together with a suit, and form a cluster of the dots; an assignment unit configured to assign numbers to the cluster and the dots; a specification unit configured to acquire the assigned number, set the assigned number to a predetermined coordinate position, and specify a silhouette; and a generation unit configured to generate a three-dimensional (3D) model based on the specified silhouette. The formation unit forms a hexagonal cluster from a dot pattern of the suit, and increases the hexagonal cluster to form a unique honeycomb structure. The assignment unit assigns numbers to the cluster and the dots based on the honeycomb structure. Solid dots and hollow dots are printed as the dots on the whole suit. Thus, a 3D model of a body shape of a user is created with higher accuracy by using a garment for measuring body sizes.

To provide an evaluation device, an evaluation program, and an evaluation method for predicting a future body shape or the like.SOLUTION: In a support system in which a server device 20 is connected to a user terminal 10 and an imaging device 30 via a communication network 40, the server device, which is a support device that supports a user's fitness, includes a future posture generation unit that is a posture image generation unit that generates a future posture image of the user performing a predetermined movement based on a user image of the user and information about the user's physical constitution at a future time point predicted based on fitness activity schedule information.SELECTED DRAWING: Figure 1

The invention provides a posture recognition method, a seat adjusting method, a system, equipment, a medium and a product. The method comprises the following steps: acquiring a plurality of pressure data; each piece of pressure data is acquired according to different areas on the seat; the multiple pieces of pressure data are preprocessed; and inputting the plurality of preprocessed pressure data into a pre-trained posture recognition model. Obtaining a posture recognition result; the posture recognition result comprises a body type parameter and an angle parameter; the posture recognition model comprises a first classification layer and a second classification layer, the first classification layer is used for outputting the body shape parameters, the second classification layer is used for outputting the angle parameters, and pressure between all parts of the human body and the seat is covered in an all-around mode, so that the accuracy of a posture recognition result is greatly improved, and the user experience is improved. And the precision requirement of self-adaptive adjustment of the seat on a posture recognition result is met.

This invention discloses a 3D-printed customized postoperative positioning support and nursing device for orthopedic spinal surgery, comprising a support plate, wearable components, a protective bladder, a control box, and a power supply component. The support plate is a customized rigid support structure 3D-printed based on the patient's spinal CT / MRI image data. Its outer contour conforms to the physiological curvature of the patient's back spine and body shape characteristics, and its surface has evenly distributed ventilation holes. It includes shoulder straps, a lumbar support, and a waist belt. The shoulder straps are symmetrically arranged on both sides of the upper part of the support plate, the lumbar support is located on the lower part of the support plate, and the waist belt is located on the outer side of the lumbar support, used to stably fix the support plate to the patient's back. The protective bladder is fitted inside the support plate and is detachably connected to the support plate via Velcro or buckles. The beneficial effects of this invention are: it avoids direct pressure from the rigid support plate on the surgical incision and surrounding soft tissues; the independent chamber of the inflation section allows for precise adjustment of inflation pressure according to the patient's needs, adapting to different activity levels and rehabilitation stages.

The invention belongs to the field of virtual reality, and particularly relates to a human body grid estimation method under a complex posture, a computer program product and equipment. The method comprises the following steps: constructing a human body estimation model for generating a corresponding human body grid according to an input human body image; the network model comprises a feature extraction module, a semantic perception MAE network, a dynamic graph convolutional network, a double-branch expert model and an SMPL model; the semantic perception MAE network comprises a mask layer, an encoder and a decoder; the method comprises the following steps: a dynamic graph convolutional network weight matrix updating layer, three GCN coding layers, a flattening module and a graph attention pooling module; the double-branch expert model comprises a body type network and a posture network which are respectively composed of a plurality of expert networks and a plurality of gating mechanisms. Performing targeted pre-training on different layers of the network structure and then performing overall training; and after the training is completed, an image-based human body grid estimation task is executed. According to the invention, the problem of insufficient robustness in a complex human body posture including joint shielding in an existing scheme is solved.

The invention relates to a supporting device for kyphosis deformity correction surgery, which comprises an arch-shaped bracket, the lower side surface of the arch-shaped bracket is a horizontal supporting surface, and the arch-shaped bracket is stably placed on the surface of an operating table; the upper side face is an arc-shaped face matched with the physiological curvature of the human spine. According to the supporting device for kyphosis deformity correction surgery, individual differences are accurately adapted, the arc-shaped face of the upper side face of the arch-shaped support accurately covers the chest and abdomen area of the human body and is attached to the normal spine physiological curvature, and compared with a traditional plane cushion, local compression or suspension caused by mismatching of the supporting face and the trunk contour of a patient can be avoided; trunk size differences of patients with different body types are adapted from the basic structure. The air bag single bodies arranged in a matrix mode are matched with the independent stop valves, and inflation and deflation of the air bags in the corresponding areas can be independently adjusted through the inflation pump according to the specific kyphosis malformation positions and angles of patients.

The utility model discloses an adjustable scoliosis brace, including correction main brace, the correction main brace top is provided with the height position adjustable correction auxiliary brace, correction main brace, correction auxiliary brace all are annular structure, and correction main brace, correction auxiliary brace side all are provided with the adjusting port, and the position close to adjusting port department is provided with fastener, correction main brace, correction auxiliary brace are connected positioning through the positioning piece, correction auxiliary brace one side rotatoryly provided with the correction positioning brace, and correction positioning brace is arc structure. This adjustable scoliosis brace is composed of multiple parts, and when the patients with different body shapes wear and use it, it can be flexibly adjusted according to the requirement, and the wearing applicability can be effectively improved, which is convenient for the correction treatment of the patients after scoliosis. Meanwhile, the brace can exert different forces on the patients with scoliosis, and it is convenient to set and use according to the patient's disease.