275 results about "Foot pressure" patented technology

The invention relates to the technical field of sports equipment and rehabilitation, in particular to a split type treadmill control method capable of correcting gaits in a self-adaptive mode and a treadmill. The method comprises the following steps: acquiring air pressure and air pressure variation of each air bag in air-floating treadmills on two sides of the treadmill in a static scene or a dynamic scene to determine a static contact area or a dynamic contact area of the air-floating treadmills and feet, and converting the acquired air pressure variation into foot pressure; calculating a sole load index, a pressure ratio of the inner side to the outer side of a foot and a foot pressure gravity center according to the foot pressure, and adjusting the air pressure of all air bags of the air-floating treadmill to realize that the hardness grade and the inclination angle of the air-floating treadmill adapt to gait characteristics and training requirements of a user; by monitoring the air pressure and the air pressure variation in the air bag of the air floating treadmill in the dynamic scene and adjusting the air pressure of the air bag in the dynamic contact area, the foot pressure gravity center is always located in the gravity center shifting area, and the problems that an existing treadmill cannot adapt to training requirements, is poor in adaptability and is long in gait correction scheme adjusting period are solved.

The invention relates to the technical field of polling and positioning, in particular to a polling and positioning method and system of an intelligent bionic robot at a grain wharf, the foot end contact angle is adjusted according to ground features and foot pressure values, the robot can adjust and optimize the contact angle and posture according to real-time ground feedback, and the polling and positioning accuracy is improved. By measuring the grounding pressure and the slippage adjustment value of the feet in real time, the robot can be dynamically adjusted according to the actual situation of each step, slippage caused by ground friction force changes or obstacles is reduced, and the stability of the robot is improved by obtaining and analyzing multiple angular accelerations and linear accelerations in real time and combining with local movement tracks. According to the method, more accurate motion state information can be provided for the robot, a corresponding local optimization map can be formed by obtaining the three-dimensional environment image in each local motion track, the robot can flexibly adjust the own motion path and the foot end contact angle according to the optimization maps, the inspection path is further optimized, and the inspection efficiency is improved. And the overall inspection efficiency and safety are improved.

The invention belongs to the technical field of lower limb exoskeleton control, and particularly relates to a flexible lower limb exoskeleton assistance control method based on multi-source information fusion. The method comprises the following steps: firstly, acquiring plantar pressure, hip joint acceleration and angular velocity and knee joint acceleration and angular velocity, and fusing the hip joint acceleration and angular velocity and the knee joint acceleration and angular velocity respectively to obtain hip and knee joint angles; performing normalization processing on hip and knee joint angles and plantar pressure to form a multi-source information matrix; inputting the multi-source information matrix into a gait phase recognition model for gait phase recognition to obtain a gait phase; then, according to the gait phase, the joint angle and the joint torque, a Bowden line playing a power assisting role is judged; calculating expected Bowden line change lengths under the assistance of hip and knee joints respectively; and finally, converting the expected change length of the Bowden cable under the assistance of the hip and knee joints into expected rotation angles of hip and knee joint motors, and controlling the hip and knee joint motors by adopting fuzzy PID control according to the rotation angles. The method solves the problems that in lower limb exoskeleton control, the gait phase recognition accuracy is low, and precise power-assisted control is difficult to carry out.

The invention discloses a Parkinson's disease gait analysis and diagnosis method based on deep learning, and belongs to the technical field of medical signal processing. The method comprises the following steps: acquiring multi-modal time sequence gait data of Parkinson's disease, preprocessing the multi-modal time sequence gait data, and dividing a data set to obtain preprocessed multi-modal time sequence gait data; the multi-modal time sequence gait data at least comprises foot pressure data, lower limb motion acceleration and lower limb swing angular velocity; designing a feature extraction network structure of a multi-channel convolutional neural, extracting features from the multi-modal time sequence gait data, and obtaining useful features from local to global; establishing a Transform feature fusion module, and introducing a multi-head self-attention mechanism to process all input useful feature data in parallel; a softmax classification diagnosis module is provided, Dropout and regularization technologies are adopted to avoid overfitting of data, an Adam optimizer is utilized to optimize model parameters, and a Parkinson's disease gait analysis diagnosis result is obtained.

The invention relates to a control method of an artificial limb knee joint. According to the technical scheme, the control method comprises the steps that a heel pressure sensor signal Ph, a sole pressure sensor signal Pf and an inclination angle theta and an angular velocity omega output by a shank inertial measurement unit are obtained in real time; when it is detected that the Pf decline rate exceeds a preset multiple threshold value of the heel pressure decline rate, dynamically calibrating an inclination angle reference theta base and calculating an offset theta cal; dividing six stages of a gait period based on the theta < cal > and the pressure signal, and calculating period duration T; a step speed-damping mapping knowledge base is constructed, and the damping opening degree in the early stage of swing is optimized through iterative learning; finally, the adjusted U value is applied in the early stage of swinging, and fixed damping is kept in other stages. The method is mainly used for improving the walking naturalness and terrain adaptability of the artificial limb at different speeds.

The invention provides a knee joint dyskinesia function evaluation method and system. The method comprises the following steps: by collecting lower limb kinematics parameters, plantar pressure distribution data and gait rhythm parameter groups of a subject in a standard gait test, generating a knee joint motion trail map comprising sagittal plane, coronal plane and rotation trail components, dividing a dynamic phase window based on the gait rhythm parameters, calculating a fluctuation feature vector of a sagittal plane track component, performing nonlinear decomposition on a coronal plane and a rotation track component to separate an adduction and abduction motion principal component and a rotation coupling component, constructing a joint stability quantitative index, and performing dynamic space registration on a bilateral knee joint track map to obtain a joint stability quantitative index; and calculating a three-dimensional trajectory similarity weight matrix, and calculating a dynamic symmetry index in combination with the cross-side difference coefficient of the joint stability quantitative index. According to the technical scheme provided by the invention, a scientific basis is provided for personalized rehabilitation treatment.

A method performed by a computer system for monitoring diabetes and comprising: a model explainability phase, comprising steps of: - collecting specific foot data from at least one sensor disposed at least within a shoe insole of a user, - collecting a plurality of trained machine learning models configured for decision-making in diabetes diagnosis based on a plurality of collected data, - based on the plurality of trained machine learning models, generating a plurality of specific machine learning models, said specific machine learning models being specified for decision-making in diabetes diagnosis based on the specific foot data, and a model reliability assessment phase, comprising steps of: - evaluating a reliability of each of the specific machine learning model based on neutrosophic sets and intuitionistic fuzzy sets, - based on the result of the evaluation step, selecting the optimized machine learning model for monitoring diabetes based on the specific foot data.

The invention belongs to the field of medical health, and provides a preliminary sarcopenia screening method based on paired foot pressure data, which comprises the following steps: firstly, acquiring foot pressure signals of left and right feet of a subject in a walking process to obtain corresponding foot pressure characteristics of the left and right feet; fusing by adopting a multiplicative combination mode to obtain total pressure characteristics of each walking stage in each walking period; then, a GMM model is adopted to create a plantar pressure mode, plantar pressure mode features are obtained, attention mechanism fusion is adopted to obtain single-cycle fusion pressure mode features and multi-cycle fusion pressure mode features, and time sequence features are obtained through learning of an improved GRU module; and finally, sending the corresponding multi-cycle fusion pressure mode features and the time sequence features into a multi-layer perceptron, and outputting the prediction probability of the sarcopenia. The method fully considers the independence of the left and right foot pressure signal features, introduces the joint relation of the two features, more comprehensively learns the gait features, and effectively improves the accuracy of primary screening of sarcopenia.

The invention relates to the technical field of intelligent wearable equipment, and discloses a motion sensing shoe based on plantar pressure monitoring and a motion trend analysis method. According to the motion sensing shoe, various types of sensors can be adopted to work in a combined mode, state trajectory tracking and pressure change condition collection of the foot are achieved, the problem that the data size is limited due to a single sensor is effectively solved by means of multi-modal data of foot pressure and foot postures, and stability and robustness are improved; real-time data of all the modules are comprehensively analyzed, potential information in the exercise data is fully mined, analysis of the exercise trend is achieved, and therefore more valuable exercise guidance and health suggestions are provided for users.

The invention discloses a lower limb motion capture method and device based on a flexible pressure sensor array and a medium, and the method comprises the steps: collecting foot pressure signals generated by two feet when a human body moves through the flexible pressure sensor array arranged on an insole; the collected foot pressure signals are input into a pre-trained action estimation model, coordinates of lower limb joint points are predicted and output, and then real-time human body lower limb movement conditions are obtained; wherein the predicted lower limb joint points comprise ten key points, namely hip joints, knees, ankles, heels and toes of the left limb and the right limb. By combining the flexible pressure sensor array and the motion estimation model, the motion position of the lower limb joint is estimated only based on the flexible pressure sensor on the insole, and the problems of high cost and complicated wearing in the prior art are solved. The method can be widely applied to the technical field of motion capture.

A hands-free door operating apparatus includes a housing attachable to a hinged door, an activation arm configured to receive foot pressure, and an opening arm arranged to couple to a nearby structure. Foot pressure on the activation arm initiates a mechanical sequence using rack-and-pinion assemblies and springs of differing force to open the door. A toggle lever temporarily restrains a return spring to allow the door to open under a weaker spring force, then releases the return spring to automatically re-close the door. The system enables door operation through a single foot input, without the use of hands.

The invention discloses a traditional Chinese medicine acupoint massage insole 3D printing system based on digital intelligent plantar scanning, and relates to the technical field of acupoint massage. The system comprises a processing unit, a motion monitoring module, a scanning module, a physiotherapy module, a pressure module and a printing module, output ends of the motion monitoring module, the scanning module and the pressure module are connected with an input end of the processing unit, and a port of the physiotherapy module establishes data communication with a port of the processing unit. The output end of the processing unit is connected with the input end of the printing module, the motion monitoring module is an intelligent terminal of a patient, and the motion monitoring module is used for acquiring motion data of the patient and transmitting the motion data to the processing unit. The insole is customized and designed according to the foot sign data and the pressure distribution condition of the patient, so that the insole obtained through 3D printing can be attached to the foot sole of the patient, and the massage effect of the insole protrusions is improved.

The invention discloses a gradient Voronoi porous shoe insole modeling method based on plantar biomechanics, and belongs to the field of porous structure design, and the method comprises the steps: S1, mapping an entity shoe insole stress field in a static standing state of a human body into Voronoi site distribution in a shoe insole model design domain, generating a Voronoi diagram in gradient distribution on the macroscopic level; s2, mapping the pressure field of the human body in the static standing state into the radius of each support rod with the target density of the model so as to control the radius of each support rod; and S3, taking the Voronoi diagram as a porous structure skeleton, generating a Voronoi strut structure based on an implicit surface modeling technology, and generating the gradient variable-radius Voronoi strut shoe insole with a continuous and smooth boundary through a fairing algorithm. According to the method, the porous shoe insole with gradient mechanical properties is generated based on plantar pressure distribution, the plantar peak force is reduced, meanwhile, the human foot pressure is more uniformly distributed, and meanwhile, mechanical-driven gradient porous shoe insole modeling is achieved.

The invention relates to a spinal degenerative disease grading early warning and rehabilitation management system and method, and belongs to the technical field of medical equipment. The system comprises a system control module, a first-stage detection module, a second-stage detection module, a third-stage detection module, a data processing module, an evaluation module and a rehabilitation management module. The first-stage detection module is used for acquiring foot pressure distribution data of a patient; the secondary detection module collects electromyographic signal data of muscles around the spine of the patient; the third-stage detection module is used for collecting vertebral bone mineral density data of the patient. The data processing module is used for preprocessing and analyzing the collected data; the evaluation module is used for carrying out grading evaluation on the spinal degenerative lesion; and the rehabilitation management module formulates a personalized rehabilitation scheme according to the evaluation result. The system adopts a logic mechanism of hierarchical detection and hierarchical intervention, automatically adjusts intervention measures according to different evaluation indexes, and realizes accurate rehabilitation management. The risk of spinal degenerative diseases is found in an early stage, a targeted rehabilitation scheme is provided, and spinal diseases are effectively prevented and managed.

The utility model discloses a palm sole which comprises an insole and a sole body, the edge of the insole is provided with a wrapping edge arranged in a surrounding mode, the sole body is fixedly connected to the bottom face of the insole and the bottom face of the wrapping edge, and the wrapping edge and the sole body are combined to form a concave structure with an opening in the top. The insole is formed by staggering and overlapping at least three layers of palm fiber sheets and tightly gluing the palm fiber sheets, the edge and the bottom surface of the insole are fixedly connected in the concave structure, the top surface of the insole and the top surface of the covered edge are positioned on the same horizontal plane, and the top surface of the insole is a net-shaped rough surface. The palm sole has good air permeability and water and sweat absorption functions, can effectively keep feet dry and comfortable, reduces peculiar smell, can provide certain elasticity and cushioning performance, relieves foot pressure, improves wearing comfort, and is safe and environment-friendly to use.

This invention belongs to the field of medical device technology and discloses a foot pressure relief device for diabetic foot. It includes a base, a pressure relief plate and a motor connected to the base, and a foot pedal and a transmission assembly connected to the pressure relief plate. The transmission assembly includes a crank, a first connecting rod, and a sliding seat. The crank is fixedly connected to the output shaft of the motor, and the sliding seat is connected to the pressure relief plate. The two ends of the first connecting rod are respectively connected to the crank and the sliding seat. The sliding seat is connected to a foot rolling shaft and a second connecting rod, and the second connecting rod is connected to a foot massage roller. A buffer spring is provided between the pressure relief plate and the base. The foot pedal has a through groove, and the foot rolling shaft is connected to a foot massage roller. This invention utilizes the foot rolling shaft / foot massage roller and the foot massage roller to simultaneously perform rolling massage on the sole and instep of the foot. The periodic oscillation of the pressure relief plate causes the heel and toes to alternately rise, resulting in good pressure relief for the foot.

The invention relates to an embedded human body gait recognition system and method. The system comprises a pressure sensing array which comprises a plurality of pressure sensing units distributed on a human body sole fabric and is used for collecting and outputting a plurality of paths of sole pressure signals; the filtering module is used for filtering the input plantar pressure signal; the data processing module is used for sequentially gating the pressure sensing units to obtain filtered plantar pressure signals and converting the plantar pressure signals into digital signals to obtain plantar pressure data; and the classification and recognition module is used for converting the plantar pressure data into a plantar pressure cloud picture, and then recognizing the plantar pressure cloud picture by using a neural network model to obtain a human body gait classification result. According to the method, efficient processing of the plantar pressure data and rapid output of the gait classification result can be achieved, the requirement for real-time gait recognition in an actual scene is met, and the method has wide application prospects in the fields of gait anomaly monitoring, falling risk prevention and the like.

The pressure sensor can directly contact the foot, which can easily cause pain. [Solution] When the subtalar joint, navicular bone, and medial cuneiform bone area move, the membrane 37 is pushed inward into the main body 35, and the air inside the main body 35 moves to the relief section 34 via the hose 32. The air flow rate at this time is acquired by the flow sensor 33. The output signal of the flow sensor 33 is transmitted from the sensor board 4 to the computer 5. The pronation measurement unit 3 acquires from the output signal of the flow sensor 33 where and to what extent pronation movement is occurring. The judgment unit 52 calculates and outputs the pronation movement and the COP of the foot based on these measurement results. The measurement results are generated in real time. The subject refers to these measurement results and performs correction through effort walking.

The invention discloses a multi-view crowd stride frequency identification method and system based on Openpose, a medium and equipment. The method comprises the following steps: S1, acquiring stride frequency observation data of a crowd and processing the stride frequency observation data; s2, constructing a crowd stride frequency visual identification network, inputting the processed data into the crowd stride frequency visual identification network, and performing identification to obtain stride frequency, the step S2 specifically comprising the following steps: S21, inputting the processed data into an Openpose network, and performing identification to obtain human body posture identification points; s22, utilizing a cosine similarity matching method to correct a human body posture matrix output by Openpose network identification; and S23, taking the time sequence information of the corrected human body posture recognition points as input, and performing crowd stride frequency recognition through a peak value recognition algorithm based on a foot pressure center CoP step-down model. According to the method, efficient and accurate identification of the instantaneous stride frequency of the crowd can be realized.

The utility model relates to the technical field of foot pad frames, and discloses a multifunctional foot pad frame which comprises a base, a plurality of anti-skid grooves are formed in the lower end of the base, electric telescopic rods are fixedly connected to the four corners of the upper end of the base respectively, and the four electric telescopic rods are each of a multi-stage telescopic structure. A supporting mechanism is jointly and fixedly connected among the upper ends of the four electric telescopic rods, a placement seat is fixedly connected to the upper end of the supporting mechanism, placement grooves are formed in the left portion and the right portion of the upper end of the placement seat, and massage mechanisms are fixedly connected to the lower groove walls of the two placement grooves; and a controller is fixedly connected to the middle part of the front end of the placement seat. According to the multifunctional foot pad frame, by arranging the supporting mechanism and the adjusting mechanism, the angle and the height of the foot pad frame can be flexibly adjusted, the use requirement is met, by arranging the massage mechanism, the foot can be massaged, blood flow can be promoted, foot pressure sores of a patient can be prevented, and the multifunctional foot pad frame is suitable for being widely used.

The present invention discloses a smart sensing insole including a pressure sensing layer (for instance a pressure plate) which includes sensing sensors. The sensors are used as sensing points to measure the pressure and the distribution when the foot pressure changes. Each sensor is coupled to the sensing module. The area occupied by the sensing points is between 3-50% or 3-70% of the entire insole area. The sensing point position is configurated at pressure peak position, pressure center area, foot arch position.

The utility model relates to a winding mounting structure of a dry-type transformer, which is characterized by comprising a coil winding packaged by an insulating layer and a lower clamping component, a plurality of supporting legs integrated with the insulating layer on the coil winding are formed at the bottom of the coil winding, and each supporting leg is pressed on the lower clamping component. According to the utility model, a cushion block does not need to be arranged between the coil winding and the lower clamping assembly, so that the processes of placing and adjusting the cushion block do not exist in the process of assembling the coil winding and the lower clamping assembly together, and the installation of the coil winding is very simple and convenient; therefore, the convenience and the efficiency of assembling the dry-type transformer can be greatly improved.

The utility model relates to the technical field of soles, in particular to an improved light damping sole which comprises a sole body, a buffering inner pad is attached to the interior of the sole body, a rear buffering air bag pad is arranged on the bottom face of the sole body and located on the left side, and a front buffering air bag pad is arranged on the bottom face of the sole body and located on the right side. A plurality of sets of elastic supporting cushions connected end to end are arranged at the bottom of the sole body and located between the rear buffering air bag cushion and the front buffering air bag cushion, and buffering pieces are connected into the elastic supporting cushions. The rear buffering air bag cushion and the front buffering air bag cushion are additionally arranged at the bottom of the shoe sole body and located at the positions of the insole and the outsole in a glued mode, the rear buffering air bag cushion and the front buffering air bag cushion are both made of corrosion-resistant rubber and are of an air hollow bag structure design, foot pressure can be borne and evenly distributed, and meanwhile the shock absorption and buffering capacity can be achieved during movement and walking; and the force rebound on the feet is reduced.

To provide a presser device for a covering chain stitch sewing machine which solves the problem in which, compared with conventional ones, the seam pitches apparently change due to the change of the thickness of a fabric and this damages beautiful appearance.SOLUTION: A presser device 13 includes a presser mechanism 2, and a pressing pressure conversion mechanism 4. The presser mechanism 2 includes a presser bar 21, a presser bar holder 24 for holding the presser bar 21, and an upper side spring 27. The pressing pressure conversion mechanism 4 includes a pressing pressure conversion crank 41 whose two action ends are arranged between the upper side spring 27 and the presser bar holder 24, and which oscillates. Therefore, even when the thickness of a fabric changes during sewing, the change in a frictional force generating between the upper surface of the fabric and the bottom surface of the presser can be suppressed, the amount of feeding the fabric is stabilized, and the seam pitches can be made apparently uniform, so that beautiful appearance can be maintained.SELECTED DRAWING: Figure 2

The invention relates to a human body posture detection device and detection method based on flexible FBG packaging, and belongs to the field of optical fiber sensing, and the method is characterized in that an FBG sensing unit is flexibly packaged by silica gel, such a packaging mode can not only effectively protect the FBG and enable the FBG to stably work in a complex use environment, but also fully utilize the flexible characteristic of the silica gel, so that the FBG sensing unit can stably work in a complex use environment. And various changes of the feet of the human body during movement can be better adapted. The central wavelength of the FBG is drifted by utilizing pressure generated by treading of a human body, a high-precision fiber bragg grating demodulator is used for sampling and repeatedly measuring and recording a drifting value, acquired foot pressure data is imported into a random forest algorithm model subjected to K-fold cross validation and grid search adjustment for classified prediction, no electrical element participates in the whole process, and the accuracy of foot pressure prediction is greatly improved. Accurate detection of the common postures of the human body is achieved, and the method has innovativeness and practicability and has wide application prospects and important practical value in the fields of health monitoring, motion analysis, rehabilitation treatment and the like.

The invention relates to a health association analysis method based on foot pressure and gait dynamic monitoring. The method comprises the following steps: acquiring original plantar pressure data; performing vibration suppression processing on the original plantar pressure data by adopting dual-reference adaptive filtering according to the vibration of the treadmill and the torso acceleration to obtain expected plantar pressure data; carrying out gait cycle division on the expected plantar pressure data; gait features are extracted from the data obtained after gait cycle division; a causal reasoning model is constructed and trained, and the causal reasoning model adopts a three-layer directed graph model and comprises an observation layer formed by gait feature nodes, a latent variable layer formed by health correlation feature nodes and an output layer formed by health risk item nodes; causal edges are set among the hierarchical nodes according to causal constraints; during reasoning, the trained causal reasoning model is utilized to establish output from gait features to health association features and from the health association features to risk item probabilities; therefore, health risk analysis is carried out according to the gait features.

An arch supporting insole for preventing and conditioning corn, bone spur and plantar fasciitis comprises an insole body and a cloth liner layer integrally formed on the top face of the insole body, the insole body is made of PU materials, a supporting portion is arranged on the portion, on the half sole portion, of the top face of the insole body, a bearing area for supporting an arch is arranged at the arch position, and the insole body is made of PU materials. A side edge is arranged on the heel side, and the supporting part is arranged under the position of toes. In addition, a massage area is further arranged on the top face of the insole body, massage protruding points are distributed on the massage area, and through holes are further formed among the massage protruding points of the front supporting part. The insole has the advantages of being soft and comfortable, has a good arch supporting effect, and can relieve foot pressure and relieve foot spur or plantar fasciitis and painful feeling when a user wears the insole. Meanwhile, certain prevention and conditioning effects can be achieved on sole bone spur or sole fascitis and corn. The practicability is high, and the popularization significance is high.

This utility model discloses a foot pressure gait device for foot assessment, relating to the field of analytical equipment technology. The foot pressure gait device includes: a monitoring module comprising a housing and a data acquisition unit mounted on the housing; and a buffer pad connected to one side of the housing via a connecting part and capable of flipping relative to the housing. When the buffer pad is flipped to a preset position, the buffer pad and the housing are arranged in upper and lower layers. The technical solution provided by this utility model can solve the problem of insufficient constraint between the gait analyzer and the buffer pad, which leads to an increased distance between the buffer pad and the gait analyzer during use, requiring multiple adjustments of the buffer pad.

The invention relates to the technical field of intelligent sensing and Internet of Things technologies, in particular to an indoor personnel identity and activity track recognition method and system, and the system comprises a pressure sensing module, an infrared monitoring module, a data queue, a pressure feature registration module, a data processing and identity recognition module, and a track construction and behavior analysis module. The pressure sensing module is composed of a plurality of pressure detection ground mats integrated with high-precision pressure sensors, and the pressure detection ground mats are fixedly laid on the inner side of an entrance door, a bedroom doorway, a bathroom doorway and a kitchen doorway which must pass through; the pressure detection ground mat is used for measuring a characteristic pressure value generated by a person stepping on the pressure detection ground mat and a sole characteristic pressure distribution profile; key identity features are obtained through the arranged pressure ground mat, seamless trajectory tracking is carried out in combination with the widely-deployed infrared sensor, and therefore non-inductive, privacy-violation-free and high-reliability indoor person recognition and positioning are achieved.

The present invention discloses a smart sensing insole including a pressure sensing layer (for instance a pressure plate) which includes a configuration of longitudinal conductive lines and transverse conductive lines. The intersection of the longitudinal conductive lines and transverse conductive lines is used as a sensing point to measure the pressure and the distribution when the foot pressure changes. The area occupied by the sensing points is between 3-50% of the entire insole area. The sensing point position is configurated at pressure peak position, pressure center area, foot arch position.