222 results about "Exercise state" patented technology

The invention relates to the technical field of physical education teaching, in particular to an interactive physical education teaching method based on a large model, and aims to realize real-time monitoring and personalized training guidance of the motion state of a student through an advanced sensor technology and a machine learning model. The method comprises the following steps: firstly, collecting motion data of a student in real time through a camera and a depth sensor, including motion posture, speed, response time, heart rate and other information; then, the collected data are input into a pre-trained large model, the model comprises a convolutional neural network, a support vector machine and a random forest model which are respectively used for evaluating the action standard, the exercise intensity and the fatigue degree of students, the large model automatically generates personalized training items, and the exercise postures of the students are captured in real time; according to the motion deviation correcting system and method, by comprehensively applying various technical means, the scientificity and individuation level of physical education are improved, and the motion deviation correcting system and method have wide application prospects.

The invention belongs to the technical field of data processing, and relates to an intelligent exercise training method based on Internet of Things, which comprises the following steps: firstly, acquiring exercise state information and heart rate state information selected by a user, and transmitting the heart rate state information and the exercise state information to edge computing equipment; secondly, the edge computing device constructs a heart rate prediction model according to the real-time heart rate state information and the motion state information of the user, and meanwhile the edge computing device feeds back heart rate prediction information output by the heart rate prediction model in real time to the user in real time; meanwhile, the edge computing device evaluates the fatigue degree of the user according to the heart rate prediction information and the heart rate state information of the user at the time pointed by the heart rate prediction information; and finally, when the fatigue degree of the user in the motion process is abnormal, the edge computing device outputs a fatigue alarm to the user. By means of the technical scheme, real-time data collection, analysis and feedback in the exercise training process are achieved; meanwhile, the invention further designs a device for improving the training effect and electronic equipment.

The invention provides a health risk assessment system based on multi-source data fusion analysis of an intelligent wearable device, and relates to the technical field of health risk assessment, and the health risk assessment system comprises the steps: obtaining motion data, physiological data and surrounding environment data of a wearer obtained by the intelligent wearable device; analyzing the exercise data to obtain exercise health indexes, and analyzing the physiological data to obtain physiological health indexes; judging the target state as a rest state, a normal state and a motion state according to the surrounding environment data and the activity intensity index; generating an exercise health assessment coefficient and a physiological health assessment coefficient according to the exercise health index and the physiological health index; generating a target health state assessment coefficient according to the exercise health assessment coefficient and the physiological health assessment coefficient, and completing health assessment of each state of the target according to the target health state assessment coefficient; according to the method, the difference of the target state is considered, and accurate and scientific evaluation of the target state is completed from the angles of operation and physiology.

The embodiment of the invention provides an exercise heart rate detection method. The exercise heart rate detection method comprises the steps that an initial PPG signal and an initial ACC signal are obtained; filtering processing is carried out; calculating a resultant acceleration average value and an energy concentration degree; determining whether it is in a motion state; if not, determining heart rate information based on the time domain information; if so, judging whether a same-frequency condition exists or not; if yes, spectrum subtraction processing is carried out; and determining heart rate information in the PPG spectrum after spectrum subtraction processing and the PPG spectrum without spectrum subtraction processing based on a frequency tracking algorithm. According to the scheme, the motion state is judged more comprehensively and accurately, the heart rate information is determined based on the time domain information when the user is not in the motion state, the calculation amount is small, and the heart rate result can be obtained quickly. When the user is in the motion state, the same frequency condition between the ACC frequency spectrum and the heart rate at the previous moment is firstly judged, targeted spectrum subtraction processing is conducted on the PPG frequency spectrum, then the heart rate information is determined through a frequency tracking algorithm, motion artifact interference can be effectively eliminated, and the heart rate during motion can be accurately obtained.

The invention relates to the technical field of health management and medical information, and discloses an all-dimensional intelligent cardiopulmonary health management system and method and electronic equipment, and the system comprises a biological sensing module which is used for continuously collecting key physiological indexes of the heart rate, the oxyhemoglobin saturation, the respiratory rate and the motion state of a user; the data processing module is used for storing the collected physiological data and historical exercise records of the user through a central database of a cloud computing platform; the deep learning analysis module is a prediction model built based on a deep learning framework and is used for analyzing the physiological data of the user and generating a personalized exercise plan; the real-time monitoring module is used for detecting the physiological state of the user and automatically adjusting the exercise intensity or type when the physiological state exceeds a preset threshold value. The technical scheme that the multi-mode biosensor is combined with the real-time monitoring module is adopted, and the technical effect of comprehensively monitoring the cardiopulmonary function state of the user in real time is achieved.

The invention discloses a heart rate pectoral girdle using process management method and system based on monitoring data feedback, and relates to the technical field of heart rate pectoral girdle using process management, and the method specifically comprises the following steps: obtaining motion state information generated by a user wearing a heart rate pectoral girdle in an aerobic motion process in real time, respectively generating a heart rate fluctuation intensity coefficient and an exercise load fluctuation index; and constructing an exercise load adjustment evaluation model for the generated heart rate fluctuation intensity coefficient and the exercise load fluctuation index, generating an exercise load adjustment evaluation coefficient, and evaluating the exercise load monitoring demand degree of the user wearing the heart rate chest strap in continuous long-time aerobic exercise. And the conditions are divided into three types of conditions of low demand degree, medium demand degree and high demand degree. The heart rate chest strap solves the problem that an existing heart rate chest strap cannot accurately and dynamically adjust the monitoring strategy in the aerobic exercise process of a user, and through real-time feedback and periodic optimization, the exercise load evaluation accuracy and the equipment performance are improved.

The utility model discloses fitness equipment which comprises a frame, a flywheel assembly, a first magnetic part, a first sensor and a second sensor, the flywheel assembly comprises a driving wheel and a driven wheel which are rotatably installed on the frame, and the driving wheel is in transmission connection with the driven wheel; the first magnetic piece is arranged on the flywheel assembly; the first sensor is arranged on one side of the flywheel assembly; the second sensor and the first sensor are arranged at an interval. According to the technical scheme, the first magnetic part is arranged on the flywheel assembly of the fitness equipment, and the Hall sensor is arranged on one side of the flywheel assembly corresponding to the first magnetic part and used for measuring the position information of the flywheel assembly. And the motion state of the user is judged by combining instantaneous speed information measured by another Hall sensor or photoelectric sensor, and the resistance of the fitness equipment is adjusted in real time according to the motion state of the user, so that intelligent motion service is provided for the user.

The invention particularly relates to an old people health condition monitoring system based on a wristband oximeter. The system comprises a state determination module; a motion index module; a fatigue index module; and an analysis processing module. According to the system, the wrist strap type oximeter obtains the exercise step number, monitors key physiological parameters such as the blood oxygen saturation degree, the pulse rate and the perfusion index, and deeply analyzes the parameters in different exercise states to obtain the exercise index, the fatigue index and the cooperation index, so that the multi-dimensional comprehensive monitoring of the health condition of the old people is realized; the physical state of the old people can be reflected more accurately, and potential health problems can be found in time.

The invention discloses a motion state data acquisition method, system and device and a medium. The method comprises the following steps: acquiring sensor data monitored by a wearable device worn by a clapping hand of a user and user information; the sensor data collected every time are sequentially stored in a sliding window according to the time sequence, and whether the ball hitting action exists in the sliding window or not is recognized; when the ball hitting action exists in the sliding window, the position of the sliding window is adjusted so that the ball hitting moment of the ball hitting action can be located at the middle position of the window; and analyzing the sensor data in the adjusted sliding window according to the user information to obtain motion state data of the user. According to the method, the exercise index data of the athlete can be evaluated conveniently, economically, quickly and accurately, so that targeted training can be performed.

The invention discloses a software testing system based on virtual reality, which comprises a data acquisition module, a testing module and an output module, and is characterized in that the testing module is used for deploying a running exercise amount target of a user on the current day; the data acquisition module, the test module and the output module are in communication connection with one another, user picture information is called and analyzed within different time through the head inclination angle detection sub-module, and a favorable basis is provided for the test system to monitor the motion state of a user; a foot force application area detection sub-module is used for acquiring a specific foot force application area of the user in a monitoring time period, and judging whether the current motion state of the user is stable or not; through the step number change trend detection sub-module, the step number increase condition of the user in the monitoring time period is monitored, the humanization degree of the treadmill is greatly improved, the daily experience of the user using the treadmill is improved, and the treadmill has the advantages of being high in humanization degree and high in motion parameter monitoring precision.

The invention discloses a leisure physical exercise physical fitness test auxiliary method based on intelligent equipment, and relates to the technical field of physical fitness test, and the method comprises the following steps: firstly, collecting heart rate data of a user in exercise in real time through an intelligent heart rate monitoring chest strap, and preprocessing the obtained original heart rate data; the heart rate data is collected and preprocessed in real time, noise interference is eliminated, and the data accuracy is ensured; a data set is constructed and key motion features are extracted, so that the motion state distinguishing capability is improved; a machine learning model is utilized to intelligently evaluate the motion state, the sensitivity of the sensor is dynamically adjusted, and misjudgment is avoided. According to the method, the accuracy of the intelligent heart rate monitoring chest strap is improved, the sporter is helped to optimize training based on reliable data, unnecessary exercise adjustment or premature rest is avoided, the exercise efficiency is improved, and the health risk is reduced.

The invention relates to the technical field of heart rate detection, in particular to a heart rate detection method based on motion power, which comprises the following steps: acquiring radar signals and heart rate signals in different motion states; performing frequency spectrum extraction of different distance values on the radar signal, calculating the volume of the body part by using the area of the body part, and obtaining the mass of the body part through the volume of the body part; calculating the displacement of the body part; calculating the speed and acceleration of the body part; calculating the physical force of the body part by using the acceleration; calculating the physical workload of the body part according to the physical force; converting the physical workload into motion power; constructing a first LSTM model, and inputting the exercise power and the actually-acquired heart rate into the first LSTM model to obtain a first predicted heart rate; and constructing a second LSTM model by taking the exercise power and the first predicted heart rate as input, and outputting a second predicted heart rate. The heart rate estimation based on the density method is easily influenced by factors such as individual differences, motion types and intensity.

The invention provides a motion assisting method and device and electronic equipment. The method is applied to first electronic equipment and comprises the steps that a first interface is displayed, the first interface comprises information of a first user and information of a first target route, the first user is a user of the first electronic equipment, the first interface further comprises information of a second user, and the second user and the first user are in a first motion state; the first motion state is a state of moving along the first target route. According to the exercise assisting method and device, the electronic equipment and the electronic equipment, the exercise assisting function in the group running mode can be provided for the user, and after the user joins in the group running mode of a certain route, the information of other users joining in the group running mode of the same route can be obtained through the interface, so that interaction is achieved, and the exercise interestingness is improved.

The invention relates to the technical field of wearable intelligent equipment, and further relates to an exercise training plan generation method and system and wearable intelligent equipment. The method comprises the following steps: when a user is not in a motion state, determining a first maximum heart rate and a first maximum oxygen uptake of the user based on a support vector regression model and basic information of the user; when the user is in the motion state, photoelectric volume pulse wave signals generated by the user in the motion process are processed through a deep learning model, and a plurality of basic index sequences are obtained; determining a second maximum heart rate and a second maximum oxygen uptake of the user based on the plurality of basic index sequences, the basic information, the maximum heart rate and a maximum oxygen uptake prediction model; and generating an exercise training plan of the user based on the first maximum heart rate and the first maximum oxygen uptake, or generating an exercise training plan of the user based on the second maximum heart rate and the second maximum oxygen uptake. The method reduces the generation cost of the exercise training plan.

The present invention relates to the field of medical data processing technology, and proposes a rehabilitation management method for patients with chronic obstructive pulmonary disease, comprising: continuously monitoring and obtaining the patient's blood oxygen saturation and heart rate data throughout the day, and recording the patient's exercise data; dividing the patient into several exercise stages; analyzing the fluctuations in the patient's blood oxygen saturation data between two adjacent exercise stages, combining the blood oxygen saturation data and its changing trends during the patient's exercise stages, and determining the oxygen drop characterization parameter for each exercise stage of the patient; obtaining the control uniformity of each exercise stage of the patient; adjusting the critical threshold value of the patient's blood oxygen saturation in each exercise stage; and performing real-time monitoring of the blood oxygen saturation based on the critical threshold value of each exercise stage of the patient to assist in the management of the patient's rehabilitation process. The present invention aims to solve the problem of misjudgment caused by blood oxygen changes during exercise during the patient's blood oxygen monitoring process.

The invention relates to the technical field of intelligent control of fitness equipment, and provides a power roller training intensity intelligent matching method based on elastic resistance self-adaptive adjustment. The method comprises the following steps: acquiring motion state data of a user during abdominal wheel training in real time through a sensor module; the motion state data and the physiological state data are input into a training intensity matching model, and the training intensity matching model calculates the matching degree of the current training intensity and the target training intensity according to preset training target parameters in combination with basic body parameters input by the user; when the matching degree is lower than a preset matching threshold value, a resistance adjusting instruction is generated according to the training intensity matching model, and the resistance adjusting instruction correspondingly controls the deformation degree or the meshing tooth number of an elastic element in the elastic resistance adjusting device so as to change the elastic resistance moment when the power roller body rolls. The technical blank in the aspects of training intensity dynamic matching, nonlinear resistance adjustment and closed-loop feedback control provides a brand new thought for the design of intelligent fitness equipment.

The invention discloses an intelligent ankle rehabilitation exercise management system based on multi-modal data fusion, which belongs to the field of medical assistance and comprises an acquisition processing module, a feature compensation module, an action extraction module, a structure modeling module, a judgment and detection module, an error correction guide module, a management scheduling module, a decision execution module and a report generation module. The motion state of each patient can be comprehensively reflected, fine-grained detection of abnormal actions is achieved, the patient is guided to correct the actions through multi-modal feedback, the secondary injury risk caused by wrong action accumulation is reduced, and the training effect and the controllability of rehabilitation progress are improved; the training plan can be continuously adjusted along with the rehabilitation progress of the patient, dynamic evolution is achieved, meanwhile, insufficient training or potential risks can be rapidly found, doctors and the patient are helped to clearly know the rehabilitation progress, the rehabilitation scheme is continuously optimized, and the training process is more efficient.

The invention discloses an autonomous lifting and transferring multifunctional bathing wheelchair which comprises a wheelchair body mechanism, and a cushion is arranged at the top of the wheelchair body mechanism and used for bearing a bather; the wheelchair movement mechanisms are symmetrically arranged on the two sides of the wheelchair body mechanism and used for a bather to manually and autonomously control the movement state of the bathing wheelchair; the backrest adjusting mechanism is arranged behind the wheelchair main body mechanism and is used for manually and autonomously adjusting a back leaning position by a bather; the armrest adjusting mechanisms are symmetrically arranged on the two sides of the top of the wheelchair main body mechanism and used for manually and autonomously adjusting the armrest height of the two hands of a bather; and the seat lifting mechanism is arranged in the wheelchair main body mechanism and is used for a bather to manually and autonomously adjust the height of a cushion. According to the invention, a user can autonomously complete the adjustment of the backrest angle, the adjustment of the armrest height and the adjustment of the seat cushion height when sitting on the wheelchair, and complete the rapid switching of the wheel advancing mode and state by operating the handle, and can autonomously complete the bathing process without the assistance of other people.

This application relates to the field of intelligent control technology for fitness equipment, and provides a method for intelligent matching of training intensity for an ab wheel based on adaptive adjustment of elastic resistance. The method acquires real-time motion state data of the user during ab wheel training through a sensor module; inputs the motion state data and physiological state data into a training intensity matching model, which calculates the matching degree between the current training intensity and the target training intensity based on preset training target parameters and the user's input basic body parameters; when the matching degree is lower than a preset matching threshold, a resistance adjustment command is generated according to the training intensity matching model. The resistance adjustment command controls the deformation degree or the number of meshing teeth of the elastic element in the elastic resistance adjustment device to change the elastic resistance torque when the ab wheel rolls. This method fills the technological gaps in dynamic matching of training intensity, nonlinear resistance adjustment, and closed-loop feedback control, providing a new approach for the design of intelligent fitness equipment.

The present invention relates to the technical field of data compression, and particularly to a method for monitoring rehabilitation exercise information of cerebral palsy patients based on wearable devices; obtaining a motion state according to the distribution characteristics of heart rate data; obtaining an acceleration similarity according to the types of acceleration data; obtaining heart rate outliers and normal heart rate points according to the acceleration similarity; obtaining a first acceleration discrete point and an acceleration continuous point according to the heart rate outliers. Obtaining an acceleration cross-region point and a second acceleration discrete point according to the differential characteristics of the acceleration similarity; determining a corresponding motion state according to the acceleration cross-region point; obtaining an acceleration anomaly point according to the first acceleration discrete point and the second acceleration discrete point. The present invention adaptively compresses acceleration data according to the distribution characteristics of acceleration data corresponding to acceleration anomaly points and normal heart rate points, improving the compression efficiency and transmission real-time performance.

The present invention discloses a sweating warm manikin motion driving device, comprising a frame, a head suspension support frame, a reducer and a motor connected to the reducer are provided on the frame, a connecting component for connecting to the head of the sweating warm manikin is provided on the head suspension support frame; swing arms are respectively connected to the two ends of the output shaft of the reducer, swing rods are respectively connected to the two swing arms, and the swing rods are respectively connected to the foot transmission connecting rod and the hand transmission connecting rod; a foot lever corresponding to the foot transmission connecting rod and a hand lever corresponding to the hand transmission connecting rod are rotatably connected to the frame; a hand driving rod and a foot driving rod are respectively connected to the hand lever and the foot lever, and also includes a swing amplitude adjustment mechanism for adjusting the swing amplitude of the hands and feet of the sweating warm manikin. During the test process, the present invention can adjust the swing amplitude of the hands and feet of the sweating warm manikin through the swing amplitude adjustment mechanism, thereby simulating the walking motion state of a real human body.

This application relates to the field of cardiopulmonary testing technology, and in particular to a cardiopulmonary endurance testing system and method based on a power bicycle. The method includes: acquiring basic information about the test subject; analyzing the basic information to determine the test subject's testing mode; acquiring real-time cycling video; analyzing the real-time cycling video to determine cycling operations; and determining a cycling adjustment plan based on the real-time cycling video and the cycling operations. By acquiring and analyzing the test subject's basic information, a testing mode suitable for the individual's physical fitness level and exercise intensity can be customized, improving the relevance and effectiveness of the test. The analysis of the real-time cycling video can provide immediate feedback on the test subject's exercise status, helping the test subject to adjust their posture in a timely manner and avoid incorrect movements and excessive fatigue.

The invention discloses a track speed control method of an intelligent treadmill, and particularly relates to the technical field of motor control, which comprises the following steps: S1, user information acquisition: acquiring user input information to obtain an initial speed; s2, setting the initial speed of the track: generating a speed control instruction, and sending a driving signal to a motor driving terminal to control the track to reach the set speed; and S3, real-time information collection: collecting physiological information of the user in the exercise process. And S4, speed rationality analysis: carrying out crawler speed rationality analysis. And S5, adjusting the crawler speed. And S6, motion state continuous monitoring and data storage: the motion state of the user is monitored in real time, and the speed in the normal motion state is stored in a database. The motion state of the user is analyzed by monitoring the heart rate and the breathing frequency of the user in the motion process in real time, and the track speed of the intelligent treadmill is dynamically adjusted according to the motion state of the user. The probability that the user is injured due to speed mismatching in the movement process is effectively reduced.

The invention discloses a multistage psychological stress inducing method and device, electronic equipment, a storage medium and a program product. The method comprises the following steps: acquiring resting psychological stress information of a tested object in a practice state; based on the resting psychological stress information, determining grade information of stress induction contents of the subject in at least two induction stages, wherein the grade information of the stress induction contents in different induction stages is different; in each inducing stage, displaying the stress inducing contents of different levels of information to the tested object, and obtaining different levels of psychological stress information of the tested object based on an interaction process between the stress inducing contents and the tested object; for any inducing stage, the physiological signal data of the tested object in the inducing stage process and the subjective description information of the tested object after the inducing stage is finished are obtained, the psychological stress information of the tested object in the inducing stage is determined based on the physiological signal data and the subjective description information, and inducing of the multi-stage psychological stress of the tested object is achieved.

The invention discloses an outdoor exercise risk intelligent assessment method and system, and relates to the technical field of exercise risk assessment. An intelligent assessment system for outdoor exercise risks comprises a data acquisition and processing module, a physiological risk assessment module, a state risk assessment module, an environment risk assessment module and a comprehensive assessment and processing module. According to the invention, the preprocessed motion state data is segmented based on the preprocessed surrounding environment data, and the motion state of the user is evaluated according to the historical outdoor motion data and the segmented motion state data. According to the intelligent assessment method and system for the outdoor exercise risk, the mental or fatigue state of the user during outdoor exercise can be quantified under the condition that the influence of surrounding environmental factors is eliminated, so that the change of the outdoor exercise risk caused by the poor mental state and muscle fatigue of the user is accurately assessed, and the assessment comprehensiveness of the intelligent assessment method and system for the outdoor exercise risk is improved.

The invention discloses limb joint exercise equipment, and relates to the technical field of exercise equipment, the limb joint exercise equipment comprises a first fixing plate and a second fixing plate, the first fixing plate and the second fixing plate are movably connected, and a passive exercise assembly is jointly arranged between the first fixing plate and the second fixing plate; the passive exercise assembly comprises a servo motor installed on the inner side of the first fixing plate, a rotating plate rotationally connected with the inner side of the first fixing plate and a fixing rod arranged on the inner side of the rotating plate in a sliding mode, and the fixing rod is movably connected with the second fixing plate. A user can achieve active exercise and passive exercise, the exercise state can be adjusted according to the use condition, passive training helps a patient to build confidence, active training stimulates the sense of participation, resistance can be dynamically adjusted through retraction and release of a resistance belt, insufficient training or excessive load is avoided, and the recovery progress of the patient is accurately matched.

The invention designs a rehabilitation training brace for child elbow joint stiffness, which comprises a forearm supporting plate and an upper arm supporting plate, the forearm supporting plate and the upper arm supporting plate are rotatably connected through an arranged motor; a first arc-shaped groove is formed in the inner side wall of the forearm supporting plate, and an active exercise assembly is movably mounted on the first arc-shaped groove; the patient can do active exercise through the arranged active exercise assembly, and meanwhile, a spring can provide certain resistance to make the patient do exercise during active exercise; an induction strip is arranged, so that the current final motion state of the patient can be monitored by the patient and is recorded by a control module, and the patient can be reminded of increasing strength to do exercise next time through a voice broadcaster; a monitoring electrode and an electrode patch are arranged on the upper arm supporting plate; and the electrode patch is attached to the arm part of the patient, so that an electromyographic signal of the patient can be monitored, and the muscle strength condition of the patient can be acquired.

This invention discloses an intelligent exercise assessment and early warning system based on multi-source biosignal fusion, belonging to the field of exercise risk early warning technology. It collects multi-source data, including electromyography (EMG), heart rate, blood oxygen, skin conductance, and acceleration, from various wearable sensors to assess muscle fatigue, cardiovascular load, exercise status, and environmental factors. After preprocessing, the system uses quantitative models such as the muscle fatigue correction index and the cardiovascular load dynamic coefficient to calculate a comprehensive exercise risk early warning index by integrating physiological state and environmental factors. This results in a normalized risk classification, corresponding to low, medium, and high risk levels and marked with different color icons. This system overcomes the limitations of single signals, considering the synergistic effects of multi-dimensional physiological indicators and the influence of environmental factors, improving the accuracy of assessment in complex scenarios. It can effectively intervene before risks develop and is suitable for scenarios such as mass fitness and professional training. It is integrated into lightweight wearable devices without interfering with the exercise process.

This invention discloses an adaptive temperature control method based on motion state perception, comprising the following steps: Step 1, the motion sensing module senses the user's motion intensity and transmits the motion intensity data to the main control module; Step 2, the main control module determines the motion intensity level based on the motion intensity data, matches a target heating level based on the motion intensity level, and sends a target heating level command to the heating module; Step 3, the heating module adjusts the temperature to the target temperature range according to the target heating level command. An adaptive temperature control system based on motion state perception is also disclosed, comprising a motion sensing module, a main control module, and a heating module; the temperature control system of this invention can automatically match the heating level temperature according to the motion intensity, so that the user does not need to manually adjust the temperature during exercise.

A novel knee joint orthosis and exerciser device comprises a knee joint orthosis body, and the knee joint orthosis body comprises an upper leg guard and a lower leg guard and is further provided with a data sending circuit. Connecting plates are respectively arranged on two sides of the upper end of the lower leg guard; two connecting plates A are mounted on two sides of the lower end of the upper leg guard in a matched manner; the lower end of one of the upper leg guards and the upper end of one of the lower leg guards are hinged together, a fixed plate is installed at the lower end of the other upper leg guard, a shaft rod is transversely installed in the middle of the outer side of the fixed plate, an annular resistor disc is installed on the outer side of the fixed plate, a movable plate is installed on the upper portion of the other lower leg guard, and an insulating plate is installed on the inner side of the movable plate. A metal spring piece is mounted on the inner side of the insulating plate; the insulating plate and the movable plate are rotationally mounted on the outer side of the shaft rod; and the data transmitting circuit is arranged in the element box. According to the novel knee pad, the knee and the like can be moved and exercised, related medical staff can know whether a patient is in an exercise state or not and know the exercise intensity, and convenience is brought to the patient and the medical staff.