706 results about "Posture correction" patented technology

The invention provides a teaching-free welding robot path planning system based on visual autonomous learning, and relates to the technical field of industrial welding, and the teaching-free welding robot path planning system comprises a pose compensation module which is used for arranging three infrared reflective mark points on the surface of a clamp base in an L shape, collecting original point clouds of the mark points and a workpiece by using a stereo camera, and preprocessing the point clouds; generating a pose compensation matrix based on the offset of the actual coordinate and the theoretical coordinate of the mark point, and outputting a de-noising point cloud data set and a compensation matrix; and the pose correction module is used for fitting a workpiece plane equation by adopting a random sampling consistency algorithm on the basis of the de-noised point cloud data set, acting a pose compensation matrix on the workpiece plane equation, correcting a pose error caused by clamp drifting, calculating a welding seam track end point coordinate and outputting a corrected welding seam pose parameter and a scanning pose instruction. According to the method, clamp drift can be compensated, weld joint poses can be corrected, three-dimensional features are extracted, a collision-free path is planned, and the welding precision, efficiency and automation degree are improved.

The invention discloses a control method for adjusting the tunneling attitude of a shield tunneling machine, particularly relates to the field of attitude control of the shield tunneling machine, and aims to solve the problem that attitude deviation caused by underground environment change cannot be timely and effectively corrected in the tunneling process of the shield tunneling machine. The method comprises the following steps of: calculating membership degrees of horizontal deviation, vertical deviation and change rates of the horizontal deviation and the vertical deviation, extracting high-frequency and low-frequency characteristics, generating independent phase signals, and calculating a judgment coefficient by using a multi-dimensional data fusion and high-dimensional exponential integration method so as to dynamically adjust the weight of a fuzzy control rule base and realize adaptive optimization of PID (Proportion Integration Differentiation) gain parameters; a master control output signal is generated based on the updated PID parameters, the thrust of the partition oil cylinders is accurately adjusted, it is ensured that the posture of the shield tunneling machine is rapidly, accurately and stably adjusted under the complex environment condition, the control precision of the tunneling direction and the construction safety are improved, and the working efficiency is improved. And meanwhile, the overall posture correction capability of the shield tunneling machine is further enhanced through dynamic adjustment of the rolling angle.

The invention relates to the technical field of high-speed railway operation and maintenance, and provides a 4C detection-based high-speed railway overhead line system completion acceptance method and system, and the method comprises the steps: collecting overhead line system image data, obtaining pose data and spatial positioning data of an inspection vehicle, carrying out the synchronous calibration processing, building a mapping relation, and obtaining a calibrated overhead line system image; inputting the calibrated overhead line system image into a multi-scale target detection model, outputting a detection result, performing pose correction on the detection result, and generating a three-dimensional positioning coordinate in combination with the mapping relation; constructing a time sequence feature vector, inputting the time sequence feature vector into the prediction model, outputting a defect evolution trend and a risk probability of the part, and grading the risk probability; and according to the risk level and the spatial positioning data, combining a knowledge graph driven rule engine, generating an intelligent work order, mapping the intelligent work order to field equipment, and collecting and feeding back a maintenance result. According to the method, the recognition and spatial positioning precision of the parts of the overhead line system is improved, and the safety and reliability of completion acceptance of the overhead line system of the high-speed rail are improved.

The invention provides a physical training posture correction method based on machine vision, which comprises the following steps: acquiring an athlete training image sequence through a multi-view image acquisition system and preprocessing the athlete training image sequence, extracting three-dimensional posture key points of a human body by utilizing a depth posture recognition model, constructing a skeleton model and calculating real-time kinematics characteristic parameters, and performing multi-dimensional comparison with standard parameters to generate a posture deviation evaluation report, thereby generating a personalized multi-modal correction feedback scheme, and establishing a personal athlete movement feature database to realize adaptive standard parameter optimization. According to the method, the training postures of athletes can be accurately recognized and corrected in real time, the training effect can be improved, sports injuries can be prevented, and training individuation and scientificity are improved.

The invention discloses a horizontal five-axis turning and milling composite center with a self-adaptive matching system. The horizontal five-axis turning and milling composite center comprises a tool turret, a boring tool mechanism, a tool changing area and a control system. A radio frequency identification reading device is arranged in a tool changing area of the tool turret and the boring tool mechanism, and an RFID chip tag is attached to the outer surface of each tool and used for storing tool serial numbers, specifications and length compensation parameters. And the control system realizes self-adaptive matching and sequential error correction of the cutter and the working procedure through radio frequency identification. The tool changing area is provided with a visual monitoring assembly which comprises a plurality of sets of industrial cameras, an adjustable light source and a structured light stripe illumination module and is used for detecting the clamping posture, the abrasion state and the type of a tool. The system has self-learning and digital twinning simulation functions, and can simulate the motion trail of the cutter and predict the interference risk before the cutter is changed. According to the method, integrated control over automatic tool recognition, posture correction, abrasion detection and path prediction is achieved, and the tool changing precision, the operation stability and the automation level of the horizontal five-axis turning and milling composite center are remarkably improved.

The invention discloses a safety rope hook suspension state detection method and system for high-altitude operation, and relates to the technical field of image recognition, and the method comprises the steps: determining a stability region candidate set based on the distribution density and time interval change condition of an image center point in each grid region, a target suspension area is screened out according to the stability area candidate set; acquiring a current hook image after the target suspension area is acquired, extracting edge contour features of the hook based on the hook image, and calculating current spatial attitude parameters of the hook; comparing the current space attitude parameter with a preset hook standard attitude interval, and judging whether the previous space attitude parameter belongs to the hook standard attitude interval or not; when the current space attitude parameter does not belong to the standard attitude interval of the hook, calculating an attitude adjustment vector; real-time accurate detection and active posture correction of the hanging state of the safety rope hook are achieved, and the safety of high-altitude operation personnel is effectively guaranteed.

The invention relates to the technical field of shield tunneling deviation rectification control, in particular to a shield tunneling posture control method for performing multi-objective optimization according to a deviation rectification curve. Obtaining historical data of the shield tunneling system, and training the prediction model; selecting a corresponding deviation correction curve based on the deviation condition of the current shield attitude, and determining the turning radius of the deviation correction curve; planning a specific path of the deviation rectification curve to form a deviation rectification curve analytic expression; obtaining a correction target attitude based on the correction curve analytic expression, obtaining a multi-step prediction attitude based on the trained optimization prediction model, and determining a correction target function according to the multi-step prediction attitude and the correction target attitude; selecting decision variables, and constructing constraint conditions; obtaining recommended parameters of shield attitude correction and control based on the correction target function and the constraint condition; and performing deviation rectification control on the shield attitude based on the recommended parameters. The control level of the shield tunneling posture is improved, and the effect of guaranteeing the shield tunneling posture and the quality of a formed tunnel is achieved.

The invention provides a self-adaptive workpiece grabbing pose correction method and system based on feature point matching. The method comprises the steps that a standard image of a workpiece which is successfully grabbed to a jig and an auxiliary image of the workpiece which is not successfully grabbed to the jig are shot; the template image and the auxiliary image are processed, feature points in the images are recognized and compared, matched feature points between the template image and the similar image are found out, and three-dimensional coordinates matched with the feature points are obtained; and based on the matched feature points and the three-dimensional coordinates of the feature points, the pose of the workpiece is solved through an RANSAC PNP algorithm, the pose of the current unsuccessfully grabbed workpiece relative to the position of the template drawing is recovered, and it is ensured that the workpiece can be accurately placed on the jig by adjusting the pose of the mechanical arm. And through feature extraction and matching of the SIFT algorithm and the LightGlue algorithm, accurate and effective correction of the workpiece placement pose is achieved, important industrial application value and market potential are achieved, and powerful technical support is provided for improving the placement precision and efficiency of the mechanical arm.

The invention relates to the technical field of automatic control, in particular to a detection equipment attitude real-time correction system which comprises an attitude trajectory extraction module, a trajectory stability evaluation module, an interference area recognition module, a light spot trajectory reconstruction module and an attitude correction control module. According to the invention, through comprehensive extraction of the direction change trend, the angle difference and the trajectory overlapping condition in the light spot image sequence, the trajectory trend of the attitude change between continuous frames is established, so that the identification of the attitude offset evolution process is more detailed, the attitude change stability analysis is realized in the time sequence dimension, and the accuracy of the attitude change is improved. Interference area identification is carried out by means of luminance continuity and spatial distribution consistency of light-emitting pixels, real light spots and lagging residual signals can be effectively distinguished, a light spot track path is reconstructed on the basis of interference removal, and real-time calculation of a track dynamic offset direction and an angle change amplitude is combined with track correction rule setting, so that the accuracy of track correction is improved. And the specific correction action matching of the deviation state is realized.

Posture correction device

The invention belongs to the technical field of welding automation, and provides a welding gun posture self-adaptive adjusting method and system for a complex welding seam, and the technical scheme is that point cloud data of a to-be-welded welding seam is converted into a welding seam track, key features of the welding seam are extracted based on the welding seam track, and key points of the welding seam are determined; calculating the tangential direction and the normal direction of each welding seam key point; aiming at different types of welding seams, performing segmented path planning in combination with the key characteristics of the welding seams to obtain an ideal movement track of a welding gun, and determining the posture of the welding gun based on the ideal movement track of the welding gun in combination with the tangential direction and the normal direction of each welding seam key point; calculating the deviation between the welding gun and the welding seam according to the point cloud data collected in real time and the ideal track of the welding seam, generating a posture correction instruction according to a deviation calculation result, and adjusting the path and posture of the welding gun to ensure that the welding gun always keeps an optimal angle with the surface of the welding seam. And the welding quality and adaptability are improved.

The invention provides a muscular-bone rehabilitation posture correction method and system based on visual identification, and the method comprises the steps: firstly collecting the posture video data of the muscular-bone rehabilitation training of a rehabilitation object, and covering the joint movement, muscle contour change and body balance state change processes; analyzing the posture video data to generate joint movement tracks, muscle force application association and body balance state features, corresponding the joint movement tracks, the muscle force application association and the body balance state features to a preset muscle-bone rehabilitation stage target to establish a multi-dimensional adaptation relationship, and generating layered and staged correction guide information according to the multi-dimensional adaptation relationship, joint, muscle and balance adjustment layers are divided according to priorities, a specific adjustment mode is provided, new posture video data after adjustment is obtained, repeated operation is conducted, correction guide information is updated according to deviation changes, accurate and dynamic muscle-bone rehabilitation posture correction is achieved, and the rehabilitation effect and efficiency are improved.

The invention discloses a piano playing posture dynamic correction method and system based on multi-dimensional data, and relates to the technical field of posture correction, and the method comprises the steps: collecting the multi-dimensional data of a player in real time through vision, pressure and electromyographic signal sensors, and generating an original data set; performing cleaning, noise reduction and feature extraction on the original data set, generating a preprocessed data set, and extracting biomechanical feature parameters; based on the extracted biomechanical characteristic parameters, a biomechanical model reflecting the posture state and the potential deviation of the player is constructed, and through multi-dimensional data acquisition and fusion, deep learning model analysis and a closed-loop optimization system, the posture state and the potential deviation of the player can be analyzed. The problems that an existing piano playing posture correction method cannot dynamically monitor in real time, accurately recognize posture deviation, provide personalized correction suggestions and continuously optimize the correction effect are solved.

The invention provides a skiing posture correction method and device, and relates to the technical field of skiing teaching, and the method comprises the steps: synchronously collecting plantar pressure distribution characteristic data and ankle joint inclination data of a skier; when the plantar pressure distribution data and / or the ankle inclination data meet the preset unbalance judgment condition, an unbalance adjusting signal is triggered; the imbalance adjustment signal includes at least one of a haptic alert signal related to a severity of the imbalance, a dynamic visual signal including a pressure distribution characteristic, and a sound indication signal having a joint angle quantitative indicator. According to the invention, the skiing posture of the skier can be intelligently and accurately corrected, and the correction efficiency of the skiing posture is improved.

The present invention provides a teaching-free welding robot path planning system based on visual autonomous learning, which relates to the field of industrial welding technology. The system comprises: a posture compensation module for arranging three infrared reflective marking points in an L-shape on the surface of a fixture base, using a stereo camera to collect the original point cloud of the marking points and the workpiece, and preprocessing the point cloud; generating a posture compensation matrix based on the offset between the actual coordinates and the theoretical coordinates of the marking points, and outputting a denoised point cloud data set and the compensation matrix; a posture correction module for fitting the workpiece plane equation based on the denoised point cloud data set using a random sampling consistency algorithm, applying the posture compensation matrix to the workpiece plane equation, correcting the posture error caused by fixture drift, calculating the coordinates of the weld trajectory endpoints, and outputting the corrected weld posture parameters and scanning posture instructions. The present invention can compensate for fixture drift, correct weld posture, extract three-dimensional features, and plan a collision-free path, thereby improving welding accuracy, efficiency, and automation.

The invention relates to the technical field of sign language translation, in particular to a sign language translation training system based on gesture tracking and a sign language tracking device, and the system comprises a gesture tracking module, a skeleton structure completion module, a gesture standard comparison module, a gesture dynamic correction module and a training effect analysis module. According to the method, through screening visible skeleton joint points, detecting a space displacement trend and calculating a motion rate and a direction change rate, key frame data meeting a stability standard can be effectively extracted, the accuracy of gesture track analysis is improved, missing key points are complemented by using skeleton structure constraints, interference on an identification result caused by loss of the key points is avoided, and the accuracy of gesture track analysis is improved. Dynamic posture correction is performed by calculating the joint angle change rate and analyzing the deviation range and combining the finger opening and closing angle and the wrist rotation angle, adjustment suggestions are provided according to the correction angle, sign language training optimization guidance is achieved, and the pertinence and the refinement level of sign language training are improved.

The invention provides a physical training posture correction system and method, and the method comprises the steps: obtaining a physical training posture image, carrying out the human posture estimation of the physical training posture image based on an improved HRNet network structure, obtaining a thermodynamic diagram of key points of a human skeleton, and carrying out the decoding operation of the obtained thermodynamic diagram of the key points of the human skeleton, human body posture features are extracted based on the human body skeleton key point coordinates; comparison evaluation is carried out on the extracted human body posture features and standard action posture features based on a DTW evaluation model; non-standard actions are extracted; the non-standard actions are displayed to trainees for posture correction. The posture detection of physical training can be realized, whether a nonstandard training posture exists or not is judged according to the posture detection, if yes, the nonstandard training posture is displayed to trainees for correction, and use is convenient.

The invention discloses a full-closed-loop control method for high-precision drilling of a robot, and the method is based on an industrial robot, a laser tracker pose measurement system, a tail end drilling actuator system, and an integrated cooperative control upper computer. And the theoretical values of the points to be machined are updated and corrected, and the measured value of a laser tracker pose measurement system serves as the real-time pose feedback quantity of a tail end hole forming actuator to achieve closed-loop pose control of the robot. And based on the normal vector measurement function of the tail end hole making system, normal vector correction compensation at the position of a hole to be machined of the tail end hole making system is achieved, and full-closed-loop machining of the hole making technology of the machined part is completed. According to the method, through the position and posture correction and compensation treatment in different stages in the process of hole making process preparation and process execution, the full-closed loop of the hole making process is formed while the hole making precision of robot machining is improved, the machining efficiency is improved, and the hole making precision requirement of industrial robot machining is better met.

The invention discloses an aviation transient electromagnetic pod coil attitude correction method and system, and belongs to the field of aviation geophysical exploration, and the system comprises a surface scanning industrial camera module which is used for obtaining the image information of a suspension coil in real time; the industrial-grade integrated navigation module is used for outputting inertial navigation data; the time synchronization and data acquisition module is used for establishing a time unification mechanism; the visual processing module is used for extracting the image processed by the time unification mechanism to obtain visual features; the inertial navigation resolving module is used for obtaining an inertial navigation state of a coil attitude angle through angular velocity integration; the data fusion and attitude estimation module is used for performing fusion calculation by combining the visual features and the inertial navigation state to obtain a fusion result; and the projection area and magnetic moment calculation module is used for calculating the ground projection area and the effective emission magnetic moment component of the coil according to the fusion result. According to the method, the system complexity and the electromagnetic interference risk caused by multi-inertial navigation layout are reduced, and the detection precision and stability of the aviation transient electromagnetic data are improved.

The present application relates to the technical field of image processing, and particularly relates to a two-stage tool surface defect detection method and system, which comprises the following steps: performing grayscale, posture correction, cutting and labeling operations on a tool surface channel image to be detected to obtain a corrected grayscale image corresponding to each sub-image and a number of the tool surface to be detected; inputting each sub-image into a trained residual network and a support vector machine respectively to output a first predicted defect probability value and a second predicted defect probability value of each sub-image and obtain a fusion defect probability value of each sub-image; regarding a sub-image with a fusion defect probability value greater than or equal to a threshold value as an abnormal sub-image; based on each abnormal sub-image and a normal sub-image with the same number, forming a defect pair of each abnormal sub-image; inputting the defect pairs of all abnormal sub-images into a trained twin transformation detection network to output defect region features and segmentation results in each abnormal sub-image. The present application improves the accuracy, reliability and efficiency of tool surface defect detection.

The invention belongs to the technical field of three-dimensional reconstruction, and particularly discloses a three-dimensional human body and scene interaction reconstruction method and system. The method is a three-dimensional human body and scene interactive reconstruction method for monocular video input, not only can quickly complete three-dimensional Gaussian reconstruction of a human body, a static scene and a moving object, but also can quickly complete the three-dimensional Gaussian reconstruction of the human body, the static scene and the moving object by introducing technical means such as posture correction, camera external parameter space regularization, joint reconstruction consistency loss and layered fusion rendering. And accurate alignment of the human body, the scene and the object in spatial positions, shielding relations and illumination styles is ensured, and dynamic interaction reconstruction conforming to real physical logic is realized. Finally, a joint rendering image with high fidelity, continuous time sequence and consistent structure can be generated, a stable and reliable three-dimensional expression capability is provided for complex human body actions, object interaction and scene understanding, and the three-dimensional interaction reconstruction quality and application value under the monocular video condition are greatly improved.

The invention relates to the technical field of tunnel safety monitoring, in particular to a strong noise tunnel point cloud monitoring method based on improved RANSAC and dynamic residual, which comprises the following steps: firstly, collecting two-dimensional point cloud data of a cross section of a tunnel, and performing attitude correction through ground baseline fitting to unify a coordinate system; afterwards, de-noising is carried out by adopting a vault-dominated improved RANSAC algorithm, and the algorithm effectively filters out strong noise and retains key lining points through constraint sampling, model geometric constraint and dynamically adjusted residual error threshold values; and performing nonlinear least square complete circle fitting on the denoised point cloud, and accurately extracting circle center and radius parameters. And finally, based on the absolute deviation, the relative deviation, the abrupt change increment and other multi-dimensional indexes of the radius, safety evaluation and early warning are carried out in combination with a standard threshold system. According to the invention, the robustness and precision of tunnel contour monitoring under complex working conditions of strong noise, equipment installation deviation and the like are obviously improved.

The invention discloses a GIS in-place robot coordination control method with a posture correction function, and belongs to the technical field of robot coordination control. The method comprises the following steps: establishing a 2D-3D coordinate mapping corresponding relation; fusing the corresponding relation with an operation state predicted by an IMU-based inertial measurement and system dynamics model; performing error calculation on the obtained 6D pose information and target pose information; constructing a nonlinear kinetic equation of the robot, and converting a control target into an optimization problem of various constraints; and converting the obtained control instruction into a torque signal for actually driving the robot to move. According to the method, the influence of mismatching on pose estimation is effectively inhibited by establishing the 2D-3D coordinate mapping relation; through a joint torque PID control algorithm, the torque required by each joint is calculated in real time, and high-precision tracking of an expected trajectory is realized; an MPC optimization control framework with multiple constraints is constructed, and precise, smooth and safe coordination control over the GIS in-place process is achieved.

The invention relates to a method for visually correcting a running posture and a running machine thereof, and relates to the technical field of fitness equipment, and the method comprises the following steps: step 100, collecting a starting signal of the running machine; step 101, acquiring a running posture image of a user; step 102, identifying foot feature points from the running posture image; step 103, determining a grounding part based on the foot feature points; step 104, when the grounding part is consistent with a preset reference part, determining an overturning angle based on the foot feature points; and step 105, if the overturning angle exceeds a preset overturning interval, generating and displaying a running posture correction suggestion according to the running posture image and a preset reference part. The running posture correction method and device have the advantages that the pertinence of running posture correction is improved, and the running posture of the user can be accurately recognized.

The invention relates to the technical field of water flow measurement, and discloses a mountainous area type intelligent combined flow measuring instrument, which is characterized in that a measuring system is used for collecting and analyzing fluid flow; an outer box structure capable of automatically leveling is arranged outside the flow measuring instrument, and a high-precision tilt angle sensor and a multi-point supporting miniature leveling mechanism are arranged in an outer box; the remote control system is used for realizing wireless transmission and remote operation of data; when the remote system detects that the external environment changes drastically or the inclination angle of the instrument exceeds an allowable value according to a sensor, the leveling mechanism of the outer box is triggered to carry out posture correction in time; and if the correction cannot be completed within the specified time or the inclination exceeds the safety range, the system gives an alarm to the cloud to remind the operation and maintenance personnel to process in time. In addition, the measurement result of the flow measuring instrument body can be corrected and judged in combination with the attitude data returned by the leveling system in real time, so that the measurement error caused by environment change or random interference in the use process is eliminated to the maximum extent.

The invention relates to the technical field of laser radar positioning, and particularly discloses a robot positioning method, system, equipment and medium based on laser SLAM. 3D feature point clouds from a laser radar are collected, IMU data are synchronously received, preliminary posture correction is conducted on feature points through posture pre-transformation, the corrected 3D point clouds are projected to a two-dimensional plane, and the 3D point clouds are projected to the two-dimensional plane; forming projection feature points containing height information, and extracting the projection feature points as two-dimensional feature point cloud for registration; matching the two-dimensional feature points of the current frame with a historical sub-map by adopting an RANSAC point cloud registration algorithm, and updating the sub-map according to a registration result; according to the method, the initial speedometer output is filtered based on Kalman filtering to obtain the final speedometer output, the estimation precision is improved, a smooth and high-precision speedometer result is output, support is provided for accurate positioning and navigation of a robot in a complex environment, and the robust SLAM mapping capability in a dynamic, sparse or strenuous motion environment is achieved.

Correcting underwear comprises an underwear body with front shoulder straps, the front shoulder straps are wide shoulder straps, the underwear body is further provided with a supporting assembly, the supporting assembly comprises a plurality of front batter braces used for strengthening shoulder supporting force, the upper ends of the front batter braces are fixed to the tops of the front shoulder straps, and the lower ends of the front batter braces are arranged close to the upper edges of bra cups. And the distance between the adjacent front batter braces is gradually increased from top to bottom. By referring to the structure of a cable-stayed bridge and arranging the front batter braces obliquely arranged on the shoulders towards the two sides of the neckline and the two sides of the armholes, stable supporting of the shoulders to the chest is enhanced, the stability of the underwear body is improved, meanwhile, posture correction is facilitated, and the humpback problem is solved.

The invention discloses a hand posture reconstruction method, system and device based on sEMG and a medium. The method comprises the following steps that a forearm sEMG signal to be estimated is collected; performing denoising processing on the forearm sEMG signal based on a continuous denoising network, and segmenting the forearm sEMG signal after denoising processing into a plurality of continuous signals; performing feature extraction on the continuous signals based on a mixed attention mechanism to obtain continuous signal features; hand posture prediction based on posture correction processing is carried out on the continuous signal features based on a dual-decoder prediction architecture, and hand continuous posture signals are obtained; calculating a hand joint angular acceleration based on the hand continuous attitude signal, and converting a hand attitude reconstruction image according to the hand joint angular acceleration; according to the method, the sEMG features are extracted more effectively by fusing sparse attention and channel attention mechanisms, the attitude correction capability is remarkably enhanced by using a double-decoder structure, and the real-time accuracy of hand attitude estimation is improved.

The invention provides a shooting training posture correction feedback method and system based on intelligent analysis, and the method comprises the steps: firstly obtaining a real-time posture data set of a target object, the real-time posture data set comprises a plurality of groups of posture collection data which are continuous in time and cover motion tracks and physiological state features, then carrying out the motion feature extraction, and obtaining a motion feature extraction result; generating an attitude correction parameter set containing an action adjustment direction parameter and a physiological coordination optimization parameter based on the dynamic difference between the target and the abnormal action feature set, and generating a real-time feedback instruction sequence according to the attitude correction parameter set; and finally, the real-time feedback instruction sequence is sent to a posture adjusting device to execute training posture correction operation, so that actions and physiological states can be comprehensively considered, and intelligent and precise shooting training posture correction is realized.

The invention relates to a wearable fitness monitoring system that uses advanced sensor technology to track real-time muscle engagement, posture, and fatigue levels during physical activity. The system comprises a capacitive sensor system, incorporating elastic silver fiber cloth and medical-grade silicone, for precise muscle movement detection; a motion sensor for tracking movement along multiple axes; and an AI-powered processing unit to provide ergonomic feedback, prevent injuries, and optimize performance. It features dynamic self-calibrating sensors that adjust to user-specific movements using machine learning algorithms. The system offers personalized workout plans, adjusting in real-time based on biometric feedback, environmental conditions, and muscle fatigue. Additionally, it integrates Bluetooth Low Energy (BLE) for wireless communication, haptic feedback for posture correction, and AR / VR for immersive workout guidance. The system includes cloud-based data storage with encryption and supports blockchain for secure data management, offering a comprehensive, personalized fitness experience that improves workout efficiency and safety.