175 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 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 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.

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.

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.

The present invention belongs to the technical field of cardiopulmonary function detection, and specifically relates to a high-precision, sports-type, non-invasive portable cardiopulmonary function parameter measurement device, comprising a host computer and a slave computer, the slave computer comprising an electrocardiogram detection module, a chest impedance detection module, a microcontroller and a wireless communication module, the chest impedance detection module comprising a signal generator, a filter, a constant current source, an instrument amplifier, a common-mode filter, a detection circuit, a high-pass filter, a high-precision signal amplifier, a differential circuit and a voltage raising module; the slave computer also comprises an acceleration sensor, and the device ensures that electrocardiogram signals and chest impedance signals can be accurately detected even in a motion state, greatly reduces noise interference caused by motion, improves the recognition of data feature points by the host computer algorithm, makes the detection data more accurate, and fills the gap in the domestic non-invasive cardiopulmonary related equipment for exercise cardiopulmonary function.

The application discloses a blueberry anthocyanin nutritional food tablet composition for improving exercise endurance and anti-fatigue capability, which is prepared by compounding blueberry anthocyanin solid powder, ginseng powder, theanine from tea leaves, rice bran fatty alkyl alcohol and food-grade auxiliary materials according to a set weight fraction range. The composition can provide comprehensive nutritional supplementation in terms of antioxidant support, energy metabolism regulation and central relaxation through the synergistic compounding of various nutritional ingredients. The combination of blueberry anthocyanin and rice bran fatty alkyl alcohol has an auxiliary improvement effect on oxidative stress under the exercise state; the compounding of ginseng powder and theanine is helpful to maintaining energy supply and nervous system balance. The formula composition of the application is simple, the process adopts direct tablet compression molding, the raw material sources are safe and reliable, and the application is suitable for the large-scale production and application of nutritional supplement food for daily exercise groups.

The utility model provides a yoga mat with a somatosensory feedback device, which comprises a yoga mat body, a cavity is arranged in the yoga mat body, a pressure sensor and an acceleration sensor are arranged in the cavity, the pressure sensor and the acceleration sensor are jointly provided with a fixing ring, the top of the yoga mat body is provided with a magnetic block matched with the fixing ring, and the magnetic block is connected with the yoga mat body. A placing box is fixedly mounted on the surface of one side of the yoga mat body, a limiting mechanism is arranged in the placing box, and the yoga mat body comprises a rubber layer and a peculiar smell removing layer; according to the yoga mat, the pressure distribution of a human body on different parts of the yoga mat body can be sensed through the pressure sensor, the motion state and action change of the body can be monitored through the acceleration sensor, and the pressure sensor and the acceleration sensor transmit data to the mobile phone device; after the data is analyzed and processed through the corresponding application program on the mobile phone, the data is converted into visual information to be fed back to a user, and the user can adjust actions according to the fed-back information, so that the exercise effect is improved.

The invention discloses a wheelchair dynamic modeling method based on load sensing and slip compensation, which comprises the following steps: determining the total mass and the mass center position of a wheelchair based on acquired multi-source sensing data, and calculating the normal force of each hub; establishing an effective radius model and a rigidity model of the driving wheel hub; fusing slip compensation to establish a kinematic model of the wheelchair so as to calculate the linear velocity and the rotation angular velocity of the wheelchair; constructing a to-be-identified parameter vector; carrying out online identification and updating on the to-be-identified parameter vector based on a recursive least square method; correcting the output of the kinematic model by using a parameter vector; and outputting the model for pose estimation and motion control of the wheelchair. According to the method, the load and motion states are sensed in real time through multi-source sensing fusion, and the wheelchair dynamic model fusing the load and the slip effect is established and corrected online, so that the motion control precision and adaptability of the wheelchair under the variable load and complex road surface are improved.

The present invention provides an arch load motion state diagnosis and evaluation device, which relates to the technical field of motion ability diagnosis, and includes a motion swing rod, a motion pedal and a piston air pump. By densely arranging pneumatic contacts on the sole pedal and an internal displacement sensor, the present invention can collect real-time displacement change data of the arch during movement, form an array pressure distribution monitoring, and provide a high-precision and multi-dimensional quantitative evaluation basis for the identification of lower limb motor function, solving the problems of strong subjectivity and single data in traditional evaluation means. Moreover, through the linkage between the winding wheel at the end of the second rotating shaft and the counterweight pieces in the counterweight box, when the eccentric drive mechanism rotates unidirectionally, the counterweight pieces can be automatically lifted to increase the motion resistance, realizing stepless adjustment of the motion load, meeting the rehabilitation training or function evaluation needs of different patients, and improving the applicable range of the device.

The present invention discloses a method, device, and equipment for identifying underwater exercise risks for an underwater treadmill. The method comprises: obtaining a trainee's current exercise state data on the underwater treadmill and the current water flow velocity data of the underwater treadmill; the exercise state data comprises: an image of the trainee's exercise posture and heart rate; performing feature extraction on the exercise posture image and the heart rate, respectively, to obtain corresponding exercise posture features and heart rate features of the trainee underwater, and extracting water flow velocity features from the water flow velocity data; based on the exercise posture features, the heart rate features, and the water flow velocity features, and using a pre-trained underwater exercise risk identification model, identifying the underwater exercise risk type of the trainee on the underwater treadmill. The present invention can improve the accuracy of underwater exercise risk assessment for underwater treadmills.

The present invention relates to the technical field of pull-up training equipment, specifically a pull-up training device with adjustable auxiliary force quantity and method thereof, comprising a training frame, a power-assisting foot pedal being slidably connected to the training frame, two linear guides being fixedly connected to the training frame for vertically guiding the power-assisting foot pedal for pull-ups, an intelligent all-in-one machine for counting being fixedly connected to one side of the training frame, a rotating seat being fixedly connected to the training frame, and an auxiliary frame being rotatably connected to the rotating seat. The present invention divides the auxiliary force quantity provided by the power-assisting foot pedal to the user into six gears through the transmission between the force-quantifying frame, the threaded rod and the cylinder, thereby facilitating the adjustment of the auxiliary force of the user's pull-up training, and utilizing the vertical movement state of the power-assisting foot pedal to make the user's pull-up posture more standard, thereby improving the data accuracy of converting the user's actual training times into the standard training times.

An intelligent sports kneepad and an intelligent control system. The kneepad is of narrow-band type and comprises a base (1) and a binding strap (2) connected to the base (1). The kneepad is mounted at the patellar tendon position by means of the binding strap (2). An air pouch (3) fitting onto the patellar tendon of the knee is disposed on an inner side surface of the base (1). An inflation mechanism (5), a detection mechanism, a battery assembly (6), an early warning assembly (7), and a main control board (8) are arranged inside the base (1). The detection mechanism is used for detecting the pressure state of the air pouch (3) and the motion state of the human body. The inflation mechanism (5) inflates or deflates the air pouch (3) on the basis of information fed back by the detection mechanism, and can automatically adjust the pressure applied to the patellar tendon position on the basis of different motion states. The battery assembly (6) supplies power to the kneepad. The early warning assembly (7) is used for providing sports warnings and emergency assistance notifications. The intelligent sports kneepad integrates multiple functions such as intelligent adjustment, early warning, and human–machine interaction, can effectively prevent or reduce knee joint injuries and fatigue, enables automatic tightness adjustment, and features a compact and lightweight structure with good portability, integration, and comfort.