643results about "Devices for locating reflex points" patented technology

The present invention provides a facial acupoint locating method, an acupuncture method, an acupuncture robot, and a storage medium. The facial acupoint locating method includes: collecting an RGB image and a depth image of a face by using a depth camera, and generating three-dimensional point cloud data of the face based on the RGB image and the depth image; inputting the three-dimensional point cloud data of the face into a trained face segmentation model to obtain a plurality of facial feature regions, where the plurality of the facial feature regions include eyebrow regions, eye regions, a nose region, and a mouth region; and acquiring an association relationship between the plurality of the facial feature regions and key acupoint points, and determining locations of the facial acupoints based on the association relationship and the plurality of the facial feature regions.

The invention provides an AR-assisted acupoint dynamic positioning method and system based on biological characteristics, and relates to the technical field of medical assistance, and the method comprises the steps: building a three-dimensional body model based on the body shape point cloud data, collected in real time, of a current user, and calculating the theoretical coordinates of acupoints in combination with a traditional Chinese medicine acupoint positioning rule; dynamically calibrating the theoretical coordinates on the basis of synchronously acquired body surface conductivity change characteristics and body surface temperature distribution characteristics of the to-be-acupunctured body area of the current user, and generating acupuncture point coordinates and corresponding needle inserting parameters; the acupuncture point coordinates are mapped to the body part of the current user, visual acupuncture point marks are displayed in real time through AR equipment, and operation guidance related to the needle inserting parameters is synchronously provided; when it is detected that the body position change of the user exceeds the preset threshold value, the above steps are executed again, and the acupoint coordinates and the operation guidance are updated, and through multi-modal biological feature fusion, dynamic calibration and AR visualization interaction, acupoint positioning is precise, dynamic and visualized.

The invention relates to the technical field of acupuncture, in particular to an intelligent acupuncture point precise positioning and stimulation regulation and control system based on combination of traditional Chinese medicine and western medicine, and the system firstly collects body surface acupuncture point information of a user, analyzes sensitivity and generates visual data. The information processing module fuses the data, generates acupoint comprehensive characteristics and marks a target acupoint. And the virtual visualization module generates a virtual acupoint image and marks a target acupoint. The needling instrument massage module formulates a needling instrument pushing scheme according to acupuncture point characteristics and needling instrument parameters, and the needling instrument pushing scheme is executed by the body surface needling instrument pushing device. Meanwhile, the electrical stimulation regulation and control module generates parameters, the electrical stimulation intensity, frequency and time are controlled, and the electric acupuncture massage device is combined with body surface acupuncture massage operation to execute treatment. According to the system, accurate acupoint positioning, personalized needle pushing scheme making and electrical stimulation regulation and control are achieved, the effect and safety of needle pushing treatment are improved, and innovative technical support is provided for modernization of traditional Chinese medicine.

The invention provides a control method and system for electronic acupuncture equipment, and the method comprises the steps: obtaining the symptoms of a user, and recommending a matched acupoint for the user based on a symptom-acupoint database; the electronic acupuncture device scans a target area where the matched acupoint is located, skin resistance distribution and an infrared thermal image of the target area are obtained, the acupoint matching degree is calculated through a probability model, and the acupoint is positioned based on the acupoint matching degree; and monitoring whether the scanning area of the electronic acupuncture device is aligned with the recommended acupuncture point or not in real time, outputting current stimulation by the electronic acupuncture device when the scanning area is monitored to be stopped, and adjusting the output current according to the symptom of the user after the user is stimulated. By means of the method and the corresponding system, the user can be assisted in accurately positioning the acupuncture points, the stimulation parameters can be dynamically adjusted according to feedback information obtained after acupuncture and moxibustion are conducted on the user, and the optimal curative effect is kept.

The invention discloses an acupoint recognition system based on a multi-modal digital twinning technology, which comprises a multi-modal data acquisition module, a multi-modal data transmission module, a multi-modal data processing module, a digital twinning construction module, an acupoint state and positioning prediction network, a result presentation module and a multi-modal data acquisition module integrated high-performance sensor group, a high-precision clock synchronization system is connected, and acupoint and human body data are acquired in all directions by utilizing a space calibration frame; the data transmission module integrates multiple transmission modes and supports flexible switching and cooperation; the data processing module runs in a special customized RISC-V architecture processor and performs preprocessing, conversion, feature extraction, fusion and dimension reduction on the data; the digital twinning construction module constructs an acupoint physiological and pathological state digital twinning model according to the processed data; the acupuncture point state and positioning prediction network module operates an algorithm in the NPU processor, and accurately predicts the state and position of the acupuncture point according to the human body data; and the result display module displays related information on a human-computer interaction interface.

The invention relates to the technical field of traditional Chinese medicine acupuncture and moxibustion, in particular to a human body acupuncture and moxibustion scheme intelligent screening method and system based on the brain-computer interface technology. Inputting the nerve response characteristic parameters into an acupoint efficacy prediction model, outputting nerve regulation efficacy scores of the acupoints, and generating an initial acupuncture scheme; in the process of executing the initial acupuncture scheme, electroencephalogram signals are collected in real time, and a neural feedback intensity value is calculated; and when the feedback intensity is lower than a preset response baseline, triggering a dynamic weight optimization algorithm, updating the scoring model and generating an optimized acupuncture scheme. According to the invention, objective evaluation and dynamic optimization of the human body to different acupoint nerve responses are realized, and the method has the advantages of high intelligence, high real-time performance, excellent individualized adaptation capability and the like, and is suitable for intelligent decision system deployment for assisting acupuncture therapy.

The invention relates to the technical field of massage, in particular to an intelligent abdominal acupoint massage system and method based on multi-modal sensing, and the system comprises a multi-modal sensing module which comprises a 3D depth camera, an infrared thermal imager, a myoelectricity sensor and a millimeter wave radar; the intelligent decision-making module is used for updating a massage strategy in real time by applying a Poisson reconstruction algorithm, a multi-modal fusion positioning algorithm and a dynamic coordinate mapping method; the execution device comprises an end effector and is composed of a bionic massage head for executing massage, a six-dimensional force sensor for feeding back a pressure value in real time and an infrared temperature control module; the three-degree-of-freedom mechanical arm is composed of xyz translation compensation and a rotating joint and is used for controlling the end effector to move; the power module is used for supplying power to the system. The device has the advantages that accurate acupoint tracking and positioning can be provided for a user, safe, controllable, autonomously adjustable massage force is provided, and different massage schemes are set according to individuation of the physique of the user.

The invention relates to the technical field of automatic acupuncture and moxibustion, in particular to an intelligent acupuncture and moxibustion mechanical arm precise positioning and needle moving method and system.The method comprises the steps that an acupuncture and moxibustion mechanical arm collects posture visual data through a preset multi-mode visual sensor, and analyzes personnel posture image change features corresponding to the posture visual data; when the personnel posture image change feature is the same as the preset posture adjustment feature, performing analysis based on the posture visual data to obtain personnel body surface feature point data; body surface feature point displacement vectors are calculated according to the body surface feature point data, and dynamic acupuncture point coordinate positions are obtained according to preset reference acupuncture point coordinate fusion; and continuously updating the acupuncture points based on the dynamic point coordinate positions, and adjusting the contact force between a needling instrument and a human body according to a preset self-adaptive micro-motion flexible contact force adjusting strategy when the personnel micro-moves. The acupuncture mechanical arm has the advantages that the acupuncture point identification accuracy of the acupuncture mechanical arm during posture adjustment of the acupuncture personnel is improved, and the acupuncture effect is improved.

The invention provides a force control method and device for massage AI navigation rehabilitation equipment. The problem that flexible adjustment and real-time dynamic adjustment cannot be achieved through an existing force control mode for massage AI navigation rehabilitation equipment is effectively solved. The method comprises the following steps: visually identifying acupuncture points on the back of a user, and determining massage track points through the acupuncture points; generating coordinate sites on the basis of the acupuncture points and the massage track points, and setting massage parameters for the user on the basis of the coordinate sites; the mechanical arm is controlled to move according to the moving route, the massage head is controlled to massage the user, and the real-time massage force applied to the user by the massage head is detected in real time; and calculating the real-time massage strength based on multiple dimensions to obtain corresponding adjustment data, and performing flexible adjustment on the massage strength of the massage head and the mechanical arm based on the adjustment data until the massage time ends.

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 a buccal needle positioning navigation method and system based on multi-mode perception driving, and the method comprises the steps: collecting the image information and depth information of the face of a patient; generating an individualized face three-dimensional model according to the image information and the depth information; determining a standard meridian map according to a meridian database, and registering the standard meridian map to the individualized face three-dimensional model through non-rigid deformation to obtain acupuncture point positioning; according to the acupuncture point positioning and a pre-stored organization hierarchy model, needle insertion path guiding information is calculated and generated, and in an interactive interface, the acupuncture point positioning and the needle insertion path guiding information are displayed in an overlapped mode so as to execute the needle insertion guiding process; and in the needle insertion guiding process, collision detection is carried out according to the needle insertion path guiding information and the organization level model, and safety early warning is carried out when a collision risk is detected. The precision and safety of the acupuncture treatment process can be effectively improved.

The invention provides an acupoint positioning and electric pulse regulation and control device and method based on electrical impedance feedback, and the device comprises a bioelectrical impedance detection module which is provided with a flexible wearing hardware part, and the flexible wearing hardware part is provided with an electrode for collecting a skin electrical impedance signal, the bioelectrical impedance detection module determines a target acupuncture point area for placing an electrode according to the electrical impedance signal; the initial pulse output module is used for outputting a preset initial electric pulse signal to an electrode of the flexible wearing hardware part; the dynamic cooperative control module is used for adjusting an electric pulse parameter according to a real-time skin electrical impedance signal acquired by the electrode after the initial electric pulse signal is applied to the target acupuncture point area through the electrode; the electric pulse output module outputs electric pulse signals to an electrode according to the adjusted electric pulse parameters, acupuncture points can be accurately positioned, the electric pulse output parameters can be accurately adjusted, stimulation output is dynamically optimized through a feedback mechanism under the condition that the skin state of a patient changes or the characteristics of the acupuncture points are different, and the treatment effect and the comfort of the patient are improved.

The invention discloses a real-time auricle identification and auricular point positioning method and system for multi-task feature sharing. An auricle identification and auricular point positioning combined model used in the method comprises an encoder and a decoder. The encoder includes a backbone network and a neck network. The decoder comprises a plurality of detection heads. A plurality of detection heads receive outputs of different layers of the neck network. The detection head comprises a target regression branch, a target classification branch and a feature point regression branch which are parallel. A plurality of detection heads share output features of the same encoder, and parallel target regression branches, target classification branches and feature point regression branches in the detection heads are respectively used for calculating loss functions of different tasks; therefore, auricle identification, frame selection and auricular point feature point marking tasks can be efficiently completed; on the basis, high-frame-rate real-time prediction is realized in the field of auricular point positioning for the first time, and the limitation of the prior art is broken through.

The massage method for identifying the back acupoints based on the intelligent AI comprises the steps that a back image of a user is collected, feature extraction is conducted on the back image, back muscle textures and skeleton contour features in the image are obtained, regional features with the acupoints are highlighted through an attention mechanism, and acupoint candidate feature vectors are obtained; inputting the acupoint candidate feature vectors into a trained acupoint positioning model to obtain an acupoint positioning result; generating an optimization strategy based on the acupuncture point positioning result; acquiring a massage demand input by a user, and matching a corresponding initial massage strategy by using a decision tree algorithm based on the massage demand; optimizing the initial massage strategy based on an optimization strategy to obtain a personalized massage strategy; based on the personalized massage strategy, a control instruction of the massage equipment is generated to control the massage equipment to complete back acupoint massage. According to the method and the device, the defect that a targeted massage strategy cannot be quickly generated based on the difference of users at present is overcome.

The invention relates to a personalized traditional Chinese medicine health-care intelligent recommendation system combined with an acupuncture theory. The system comprises a multi-modal data acquisition module, an AI diagnosis module and an acupuncture scheme generation module. According to the invention, the health information of the user is acquired through the multi-modal data acquisition module, the deep learning model fused with the acupuncture meridian theory is utilized to realize physique identification and disease diagnosis, and the personalized acupuncture health care scheme is generated based on the established acupuncture point, physique and disease three-dimensional association database. A reinforcement learning algorithm is combined with a user real-time feedback dynamic optimization scheme, the limitation that traditional acupuncture depends on physician experience is broken through, intelligentization, individuation and dynamics of acupuncture health care are achieved, the accuracy and operability of the health care scheme are improved, and the method is suitable for various scenes such as family health care and community medical treatment and has a wide application prospect. The method has remarkable innovativeness and practicability, the physique and the disease of the user are accurately identified based on multi-modal data, the acupuncture scheme adaptive to personal characteristics is generated, and the problem that a traditional universal scheme is insufficient in adaptability is solved.

The invention discloses a pitaya robot system based on intelligent treatment and recuperation and a control method, and the system comprises a high-precision image collection and human body image collection and three-dimensional reconstruction module which is used for precisely recognizing and positioning a treatment region and acupoints; the core physician manipulation digitization module is used for finely capturing professional treatment manipulations and standardized recuperating manipulations of deep physicians for operating pitayas through a multi-dimensional sensor array and forming a manipulation model library; the intelligent strategy generation module based on artificial intelligence can call, fuse or optimize and generate an optimal execution scheme from a corresponding model library according to a mode selected by a user; and the high-precision and compliant force control robot execution module reproduces the digitized technique of the pitaya in a high-fidelity manner under the real-time closed-loop control of visual guidance and force sense feedback. Through the double-track parallel strategy, quantification, inheritance and popularization of the high-level pitaya therapy are achieved, and application of the high-level pitaya therapy is pushed to the wide field.

The invention provides an acupuncture point accurate positioning device based on machine learning, and relates to the field of artificial intelligence. Comprising a multi-modal data acquisition module, a data preprocessing module, a machine learning processing module, a dynamic adaptive calibration module, a gender specificity optimization module, a laser projection module and an interaction and control module, wherein the multi-modal data acquisition module is used for acquiring human body surface sign information and human body three-dimensional space coordinate information; temperature difference information and human body posture data of the acupoint area and surrounding tissues; the machine learning processing module is internally provided with a trained improved convolutional neural network model, performs feature extraction and fusion on the data processed by the preprocessing module, and outputs initial acupuncture point coordinates; the dynamic self-adaptive calibration module dynamically corrects the coordinates of the acupuncture points; the gender specificity optimization module analyzes gender information of a patient and performs targeted adjustment on initial acupuncture point coordinates. According to the invention, the defects in precision, efficiency, adaptability and scene expansibility in the prior art are overcome.

The invention belongs to the technical field of acupuncture and moxibustion, and provides an acupuncture point recognition method, system and device for an acupuncture part and a medium, the method comprises the following steps: establishing a body surface anatomical marker coordinate system, and determining body surface coordinates of human body acupuncture points in the body surface anatomical marker coordinate system; determining coordinates of an acupuncture part in the body surface anatomical marker coordinate system; human body acupuncture point body surface coordinates near the acupuncture part coordinates are determined; calculating the distance between the coordinates of the acupuncture part and the body surface coordinates of the acupuncture points of the human body near the acupuncture part; determining an acupuncture point of the acupuncture part according to the distance and a preset acupuncture point weight; by calculating the spatial distance between the recognized coordinates of the acupuncture part and the body surface coordinates of the human body acupuncture points near the body surface of the patient and weighting the scores of the corresponding acupuncture points according to the acupuncture point use frequency, the acupuncture points of the acupuncture part are determined according to the scores, clinical experience factors are added for acupuncture point recognition, and the recognition accuracy is improved.

The invention belongs to the technical field of machine learning, and provides an acupoint positioning method and system based on machine learning, and the method comprises the steps: scanning a human body image, and obtaining human body data; preprocessing the human body data to obtain feature data; performing machine learning of multiple models based on the feature data; the acupoints are positioned through the multiple models obtained after machine learning; and displaying the positioned acupuncture points, and evaluating the positioning precision of the acupuncture points. The human body is scanned according to the big data of the acupoint knowledge graph during acupoint positioning so as to acquire the human body data, then the multiple models are constructed by processing and learning the human body data, finally the acupoints are positioned through the multiple models, and the traditional Chinese medicine acupoint knowledge graph is optimized according to the positioning structure, so that the accuracy of acupoint positioning is improved. In the process, the acupoint distribution rule and the acupoint reference coordinates of big data of the traditional Chinese medicine acupoint mapping knowledge domain are used for analyzing the data and accurately positioning the acupoints, which is greatly helpful to research on the acupoints of the human body.

The invention provides a control method and device of a massage robot, electronic equipment and a readable storage medium, and the method comprises the steps: scanning the acupoint position of each human body acupoint in an initial to-be-massaged area of a target user through a depth camera; detecting a key massage area in the initial to-be-massaged area through an infrared thermal imager; determining a to-be-massaged target meridian of the target user based on the position of the key massage area on the target user; generating a massage path based on each human body acupoint on the target meridian and the acupoint position of each human body acupoint on the target meridian; and controlling a mechanical arm of the massage robot to execute massage operation on the target user according to the massage path. Through the method, the massage effectiveness of the massage robot is improved.

The invention discloses a three-dimensional point cloud processing method, system, terminal and medium for anti-wrinkle interference clothes for a massage robot, and relates to the technical field of robot perception and point cloud processing, and the method comprises the steps: obtaining the three-dimensional point cloud data of the surface of the clothes based on a depth camera, and carrying out the cutting processing, and obtaining the point cloud data after cutting; preprocessing the cut point cloud data to obtain target point cloud data, and performing cascade filtering processing to obtain optimized point cloud data; and based on the optimized point cloud data, calculating a normal vector of each point, and determining to carry out massage path planning so as to control the massage robot to execute a massage action based on the planned massage path. The method can remarkably reduce the influence of clothes wrinkles on massage direction recognition of the massage robot, and can adapt to interference of clothes made of different materials. In addition, according to the cascade filtering processing method, the calculation burden is greatly reduced while the effectiveness of normal vector estimation is ensured.

The invention discloses a traditional Chinese medicine human body acupuncture point recognition method and system based on virtual reality, and relates to the technical field of acupuncture point recognition. The system can collect action acupuncture point position data and curative effect data of a patient in the massage process in real time through an action tracking and acupuncture point recognition module in combination with VR equipment and a sensor group; and the data are transmitted to a cloud platform through a wireless network to be processed and analyzed. And the data integration processing module carries out visual display and standardized processing on the acquired data, so that the accuracy and consistency of the data are ensured. And the operation error analysis module can calculate an action space error D and evaluate the massage operation precision according to the value. When the output result of the motion space error D exceeds a certain deviation, the system gives a prompt to a physiotherapist through a visual interface to guide the physiotherapist to adjust the massage manipulation, and the integration of the system not only improves the transparency of the treatment process, but also greatly reduces errors caused by human factors.

A hand clamp for trigger point therapy and acupressure, having a unique configuration of contact points and motion to allow a user to precisely activate their own acupressure and trigger points.

A personalized intelligent auricular point massager based on electrical stimulation disclosed by the present invention comprises a massager frame, a control module, an electrical stimulator unit, a Bluetooth module and a sensor module, the electrical stimulator unit, the Bluetooth module and the sensor module are all connected with the control module, and the Bluetooth module is in communication connection with a mobile terminal. The massager frame is manufactured through the 3D printing technology and is attached to the outline of the ear, the electrical stimulator units are embedded into key acupuncture points of the massager frame, a millimeter-level ear micro-model is constructed through the three-dimensional scanning technology, and then automatic and accurate recognition and positioning of the auricular points are achieved through the image processing and neural network technology; finally, the massager frame fitting the physiological curve of the ear is customized through the 3D printing technology, acupuncture point positioning is accurate, the personalized adaptability degree is high, the technical requirement for operators is lowered, and the treatment effect is good.

The invention discloses intelligent acupuncture and moxibustion equipment based on rosemary-rosemary reflection and a positioning method, relates to the field of intelligent positioning, and is used for solving the problem that the accuracy is reduced due to the fact that a traditional Chinese medicine bone degree division method and a user body type ratio are in a fuzzy relation and positioning of remaining acupuncture points cannot be accurately determined. Preprocessing the images of each partial region of the human body, synthesizing the image definition of each partial region image, the positioning distance difference between the virtual body position and the proportion size and a support vector machine model constructed by a virtual body position acupuncture point position model initial training set, and adjusting the model difference; weighted calculation is carried out through the distance difference between the electrode plate and the preset acupoint position and the preset current difference of the electrode plate, the weighted calculation is compared with the adjusting threshold value, the acupoint positioning accuracy is improved, the application scene of the intelligent acupuncture and moxibustion equipment is improved, and the personalized requirements of different users are met.

The invention relates to the technical field of medical supplies, and particularly discloses a therapeutic apparatus comprising an acupoint positioning unit comprising an excitation electrode and a measuring electrode, the excitation electrode is configured to generate current to human skin, and the measuring electrode is configured to receive the current and measure a resistance value of the skin to determine an acupoint position; the treatment unit comprises a polylactic acid layer, a temperature-sensitive hydrogel drug layer, a sensor and a plurality of microneedles, the temperature-sensitive hydrogel drug layer is arranged on the polylactic acid layer, the plurality of microneedles are arranged on the temperature-sensitive hydrogel drug layer in a rectangular array, and the sensor is arranged on the temperature-sensitive hydrogel drug layer among the plurality of microneedles; the host comprises a shell, a processor, a memory, a touch screen and an electric heater, the processor and the memory are in data connection and are both installed on a circuit board, the circuit board is arranged in the shell, the touch screen and the electric heater are installed on the shell and are in data connection with the processor, and the therapeutic instrument can achieve precise treatment and is convenient and reliable to use.

The invention belongs to the technical field of robot application, and particularly relates to an acupoint recognition and mechanical arm control method for assisting expectoration, which uses a lightweight Inverted Residual convolution module containing depth separable convolution and residual connection to carry out high-precision recognition on 13 acupoints on the back, and on the basis of RGB three-channel image input, the acupoint recognition and mechanical arm control method for assisting expectoration is realized. A spine central axis channel is added, and a user-defined loss function including MSE loss, spine symmetry constraint and acupoint position constraint is designed to optimize the deep learning model, so that the accuracy and symmetry of acupoint recognition are further improved; after identification is completed, the system combines an improved near-end strategy optimization reinforcement learning algorithm and a visual servo technology to design a self-defined reward function which comprehensively considers distance reward, angle reward, cross punishment and target completion reward. And a voice coil motor of an end effector of the mechanical arm is guided to approach the target acupuncture point and align with the normal of the back of the human body, so that accurate control and dynamic motion planning of the voice coil motor are realized, and auxiliary sputum excretion actions are effectively executed.

The invention discloses a head acupuncture semi-supervised intelligent acupoint selection method and system based on visual positioning, and belongs to the technical field of intelligent auxiliary medical treatment. The method comprises the steps of collecting a face image and extracting face standard two-dimensional feature points; constructing a first training data set by using the three-dimensional space coordinates of the face standard two-dimensional feature points and the three-dimensional space coordinates of the head acupuncture point feature points, and training a multi-layer perceptron mapping network; training a Yolo two-dimensional mapping network by using a second training data set constructed by the virtual face image and the two-dimensional coordinates of the head acupoint feature points; and inputting an unmarked face image into the trained multilayer perceptron mapping network and the trained Yolo network, and carrying out weighted fusion on two-dimensional coordinates output by the two networks to complete head acupuncture intelligent auxiliary acupoint selection. According to the invention, semi-supervised accurate recognition and positioning of face acupuncture points are realized, so that the accuracy and safety of self-service acupuncture treatment of a patient are improved on the premise of depending on a small amount of labeled data.

The invention discloses a human body back acupoint recognition and positioning method and system, a terminal and a medium, and the method comprises the steps: obtaining a back image; inputting the back image into a trained target detection model; and obtaining acupoint identification information in the back image through the trained target detection model, and marking the acupoint identification information on the back image. According to the method, acupoint recognition and labeling of the user back image are achieved through the trained target detection model, acupoint recognition standardization can be achieved, the YOLOv11 module in the target detection model can rapidly obtain possible acupoint areas, and the OfficientDet module can achieve high-precision detection, so that the accuracy and reliability of a detection result are improved, and the accuracy and reliability of the detection result are improved. Due to the fact that a target processed by the OfficientDet module is a cut image of a prediction target acupoint detection frame, consumption of computing resources is greatly reduced while high precision of the whole detection process is kept, the problems of illumination change, background interference and the like can be effectively solved, and detection robustness is enhanced.

The invention relates to the technical field of intelligent recognition, and discloses an acupoint acupuncture guidance method and system based on a knowledge graph, and the method comprises the steps: obtaining a real-time three-dimensional coordinate of a target acupoint on a target object through employing a multi-mode positioning technology; the physical sign data and disease information of the target object are obtained, an improved random forest algorithm is used for correcting standard parameters in the acupoint knowledge graph, an acupuncture scheme is generated, the acupuncture device is controlled to select a target needling instrument from the storage bin based on the acupuncture scheme, and acupuncture operation is executed; monitoring needle tip pressure, needle inserting depth and angle deviation in real time; when parameter deviation or abnormal biological signals existing in the needle point pressure, the needle inserting depth and the angle deviation are detected, the actuating mechanism is guided and driven to conduct self-adaptive adjustment till the needling operation is completed. Through the implementation of the invention, the problem that the related technology cannot meet the requirements of modern acupuncture treatment with precision, standardization and safety is solved.