103 results about "Exercise state" patented technology

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 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.

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 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.

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 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 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.

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.

The application discloses a labor-saving exercise machine, which comprises a transmission assembly, a pull rod for longitudinal stretching of arms, a load-bearing rod located below the pull rod and used for bearing human body weight, a first rotating part movably connected with the pull rod and driven to rotate by movement of the pull rod, a second rotating part movably connected with the first rotating part and driven to rotate by the first rotating part, the second rotating part being movably connected with the load-bearing rod and driven to move in the opposite direction of the pull rod by rotation of the second rotating part, and an adjusting assembly used for adjusting angular velocities of the first rotating part and the second rotating part. Force is conducted through gear and chain transmission and is converted into relative movement of two rods, so that the effect of speed change and labor saving in the movement process is achieved, the demand of special users to perform pull-up training in a more relaxed state is met, and the users are in a safer, more stable and labor-saving movement state through the auxiliary exercise machine.

The invention discloses a soybean cold resistance staged low-temperature exercise and intelligent environment regulation cultivation method, which belongs to the technical field of cultivation, and comprises the following steps: 1, dividing soybeans into a plurality of exercise stages according to the growth period of the soybeans, and setting an initial exercise temperature for each exercise stage; step 2, acquiring parameter information of the soybeans in each exercise stage; 3, the collected parameter information is preprocessed, analysis is conducted according to the data fusion technology, and whether the initial exercise temperature is reasonable or not is judged; and 4, dynamically adjusting the unreasonable exercise temperature according to a judgment result. According to the method, multiple index parameters of the soybeans are obtained for comprehensive analysis to judge whether the state of the soybeans at the corresponding exercise temperature is normal or not, so that whether the set exercise temperature is reasonable or not is judged, and when the set exercise temperature is not reasonable, the exercise temperature is precisely and dynamically adjusted according to the exercise state of the soybeans; the normal growth of soybeans can be ensured while the exercising effect is ensured.

Provided in the embodiments of the present disclosure are a music playing method and device, and a storage medium. The method comprises: acquiring the current exercise state information of an object by means of a terminal, and displaying the current exercise state information on an interface; on the basis of the current exercise state information, acquiring a music list; and determining whether the current exercise state information has changed, and if the change amplitude of the current exercise state information is within a preset threshold value, playing music comprised in the music list, and displaying the currently playing music on the interface. In the present disclosure, a music list is acquired on the basis of the current exercise state information of an object, such that music played on the basis of the music list can match the current exercise state, thereby providing a user with a customized and more comfortable exercise experience, and satisfying personalized and emotional demands; moreover, the current exercise state information and the currently playing music are simultaneously displayed on a terminal interface, such that the user can conveniently view the current exercise state information in real time to adjust an exercise state, and control the playing of the currently playing music.

1. The name of the design product: pregnant woman exercise monitoring graphical user interface for electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: the graphical user interface content. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for pregnant woman exercise monitoring interface. 6. The human-computer interaction mode of the graphical user interface: the front view is the main interface for pregnant woman exercise monitoring. Click the "computer" icon corresponding to the hall on the left menu bar of the front view, enter interface change state diagram 1; click "sign in" after the "sign in" list on the left side of interface change state diagram 1, enter interface change state diagram 2, and a sign-in step pop-up window appears; after placing the pregnant woman's bracelet on the external punch card and completing the bracelet punch, enter interface change state diagram 3, and the bracelet punch is displayed as checked; use the external code scanning gun to scan the two-dimensional code of the electrocardiogram device, complete the binding, and enter interface change state diagram 4; use the code scanning gun to scan the two-dimensional code of the oximeter device, complete the binding, and enter interface change state diagram 5, prompting that the sign-in is complete; the sign-in step pop-up window automatically disappears within a few seconds after completing the sign-in, and enters interface change state diagram 6; click the "bind fetal heart device" drop-down arrow in interface change state diagram 6, enter interface change state diagram 7; after the pregnant woman wears the corresponding fetal monitoring device in interface change state diagram 7 and completes the binding after starting, enter interface change state diagram 8, which displays the corresponding monitoring values; the pregnant woman uses the bracelet to complete the binding and punch on the external exercise device but has not started exercising, enters interface change state diagram 9; after the pregnant woman starts exercising, enter interface change state diagram 10, the exercise state and monitoring data change; click "single patient monitoring" in the top menu bar of interface change state diagram 10, enter interface change state diagram 11, and display the state monitoring during exercise; click "fetal heart monitoring" in the top menu bar of interface change state diagram 11, the system opens a pop-up window and enters interface change state diagram 12; after completing the fetal heart monitoring, click the close page button in the upper right corner of interface change state diagram 12, enter interface change state diagram 13, the left sign-in list is updated to display the number of "completed", and the corresponding personnel sign-in state is updated to "sign out"; click "sign out" after the personnel name in the left sign-in list of interface change state diagram 13, enter interface change state diagram 14; click the prompt pop-up window in the middle of interface change state diagram 14, click "OK" to enter interface change state diagram 15, which displays the self-exhaustion perception inquiry score; after completing the inquiry score, click "save" in interface change state diagram 15 to enter interface change state diagram 16; click "OK" in interface change state diagram 16 to enter interface change state diagram 17, the corresponding personnel sign-in state in the left sign-in list is updated to "signed out", and the exercise report option is generated.

This invention discloses a method and device for calculating real-time physical strength during cycling. The calculation method includes: acquiring and storing the user's physiological data, heart rate data, and power data; calculating an initial physical strength value based on the heart rate data; determining whether the user is in an exercise state based on the heart rate and power data; if so, calculating and outputting the real-time physical strength value and potential physical strength value based on the exercise intensity; otherwise, entering a physical strength recovery phase to calculate a physical strength recovery value; and updating the initial physical strength value based on the physical strength recovery value. This invention updates physical strength data based on real-time data, improving the poor real-time performance of traditional methods. Furthermore, by using heart rate data, power data, and physiological data as the basis for calculation, it improves the accuracy of physical strength value calculation.

The present application belongs to the technical field of bioelectric monitoring, and provides a human health monitoring method and system based on bioelectric signal collection technology, in multiple historical test periods, the electromyographic signals of athletes during training in each historical test period are extracted respectively, and continuous integrity analysis is performed, the easy-to-lose stage is screened out, the easy-to-lose sequence is constructed, each easy-to-lose stage in the easy-to-lose sequence is analyzed respectively, the special easy-to-lose period in the easy-to-lose stage is screened out, and the special loss type of the special easy-to-lose period is identified, not only whether the electromyographic signal intensity exceeds the preset maximum value of the collection device is determined, but also the physiological state of the muscles of the athletes in different movement stages and the interaction between the physiological state and the movement state are further understood, which provides a basis for more accurately interpreting bioelectric signals, and helps to evaluate the muscle fatigue degree and potential injury risk of athletes in the training process.

The utility model discloses a high-adaptability dynamic kneecap which comprises a kneecap body, a silica gel elastic support conforming to the shape of leg muscles is arranged on the upper portion of the front end of the kneecap body and used for keeping the kneecap body upright and preventing the kneecap body from slipping off in the movement process, and a shank part in the front middle of the kneecap body is connected with a silica gel joint buffering cushion. The silica gel joint cushion pad is used for fixing the position of the patella and reducing lateral movement and abrasion of the patella, and magic tape adjusting positions are arranged on the upper side and the lower side of the front portion of the kneecap. The utility model relates to the technical field of sports protective equipment, aims to solve the problems of poor fixity, insufficient comfort, insufficient dynamic adjusting function and the like of the conventional kneecap, and provides a kneecap which can flexibly adapt to and reduce impact force according to the motion state and the knee joint action.

This invention discloses a method, system, and interactive system for estimating cycling power. The estimation method includes: obtaining the user's maximum heart rate; obtaining the user's real-time oxygen uptake based on the maximum heart rate, average heart rate, and resting heart rate; back-estimating cycling power based on the real-time oxygen uptake, the user's weight, and the bicycle's weight; calculating bias corrections for different exercise states based on the user's heart rate gradients under different exercise states; and using the bias corrections for different exercise states to correct the estimated cycling power, thereby obtaining the user's cycling power under different exercise states. This invention eliminates the need for power monitoring equipment, estimating cycling power under different exercise states based on the user's physiological information, bicycle weight, and heart rate data.

The application relates to a smart wearable element-based motion regulation device and a regulation method, which combines the advantages of unconscious regulation and conscious regulation, combines the intuitiveness of real-time collection of motion information by a wearable sensor and real-time feedback of muscle electric stimulation, gives instructions for acting on muscles based on the real-time body state and action posture of a motion person, and improves the motion state, wherein the wearable motion regulation device comprises a polyester fabric layer, a shell, an elastic stretchable battery, an IMU (inertial measurement) monitoring element, an sEMG monitoring element, an EMS (muscle electric stimulation) hydrogel electrode sheet, a microprocessor, an elastic conductor and a TPU film composite conductive circuit. Compared with the prior art, the application has the advantages of intuitive, direct, real-time and accurate regulation of motion actions and postures, and flexible use of the wearable device.

A non-contact motion physiological sensing method and a motion physiological sensing radar. The non-contact motion physiological sensing method is executed by a processor in a signal processing device, comprising: obtaining a digital signal; obtaining a phase map and a vibration frequency map according to the digital signal, the phase map presenting an energy distribution varying with a distance relative to the motion physiological sensing radar and a phase variation, and the vibration frequency map presenting an energy distribution varying with a distance relative to the motion physiological sensing radar and a vibration frequency variation; selecting at least one candidate position with an energy intensity exceeding an energy threshold from the vibration frequency map; selecting a target position from the candidate positions; obtaining one or more target phase data according to the target position; and inputting the one or more target phase data into a machine learning model to obtain a physiological parameter prediction result. The non-contact motion physiological sensing method and the motion physiological sensing radar can accurately sense the physiological parameter in the motion state of the subject in a non-contact manner.

The application discloses a kind of intelligent sports movement state analysis method, system, equipment and medium based on multi-module collaborative optimization.Method includes: using lightweight real-time model to video stream is human detection and initial key point positioning;Through radial basis function network, initial key point is nonlinear fine-tuning to improve accuracy;From the key point sequence after fine-tuning, extract high-dimensional kinematic feature, and utilize principal component analysis to reduce dimension, obtain core low-dimensional time sequence feature;Finally, through time sequence neural network, feature sequence is modeled, realizes action recognition and posture evaluation.The application passes through the collaborative optimization link of "perception-fine-purification-understanding", effectively solves the problems, such as imbalance of accuracy and speed, feature redundancy, time sequence modeling deficiency and error accumulation, in prior art, provides efficient, accurate, automated analysis solution for wisdom sports training.

[PROBLEM] Provided is a joint load estimation program or the like for estimating a load of force applied to a joint of a subject on the basis of an image in which the exercise state of the subject is captured. [SOLUTION] The present invention is a joint load estimation program, which causes a computer to execute: a base exercise state acquisition step for acquiring an exercise state of a subject on the basis of an image in which the exercise state of the subject is captured; a rigid link model acquisition step for acquiring a three-dimensional rigid link model on the basis of a predetermined feature amount related to the human body of the subject; a rigid link system exercise state acquisition step for estimating the exercise state of the three-dimensional rigid link model in accordance with the exercise state of a subject 2 acquired by the base exercise state acquisition step, and acquiring exercise information about the three-dimensional rigid link model; and a joint load calculation step for calculating the joint reaction force applied to the joint tissue by inverse dynamics calculation based on the exercise information about the three-dimensional rigid link model.

The invention belongs to the crossing field of foot biomechanics and intelligent wearing, and particularly relates to a foot arch supporting component suitable for two states of leisure and running. An arch supporting part suitable for leisure and running states is provided with a supporting part matched with the arch part, and the supporting part is made of shape memory polyurethane materials, so that the hardness of the supporting part in the running state is larger than that in the leisure state. According to the foot arch supporting part suitable for the leisure state and the running state, the hardness of the supporting part in the running state is larger than that of the supporting part in the leisure state so as to adapt to foot arch deformation differences of the same user in different motion states and different time periods, the defect that a traditional insole with the fixed hardness cannot adapt to dynamic changes is overcome, and the user experience is improved. The sole of a foot can be better attached to the insole, matched supporting force can be provided for the arch of the foot all the time, and foot compensatory injury caused by supporting unbalance is prevented.

This invention discloses a lower limb intelligent feedback training system and method, belonging to the field of rehabilitation training technology. The system includes a multi-source information acquisition module, a real-time intention and state recognition module, an adaptive decision-making and control module, a multimodal feedback execution module, and a training data management and individual model update module. The multi-source information acquisition module collects force, motion, and physiological information during lower limb training; the real-time intention and state recognition module fuses and analyzes the multi-source information to identify the user's motion intention and assess their motion state; the adaptive decision-making and control module generates training parameter adjustment instructions based on the motion intention, motion state, training goals, and individual ability parameters; the multimodal feedback execution module provides feedback to the user based on the training parameters; and the training data management and individual model update module updates the individual ability parameters. Through this structure, adaptive adjustment and closed-loop feedback in the lower limb training process are achieved.

The invention discloses a multi-modal heart rate index-based exercise state monitoring and exercise prescription adjusting method, which comprises the following steps of: preprocessing multi-modal heart rate index data of a user, and calculating a data quality score based on a signal-to-noise ratio and an exercise artifact degree of the processed heart rate index data; extracting a heart rate mean value, a heart rate variability index and a heart rate recovery index from the processed heart rate index data, inputting the heart rate mean value, the heart rate variability index and the heart rate recovery index into an individualized adaptive model, and determining a physiological load index and risk classification; calculating a recovery prediction window according to the heart rate recovery index and the historical recovery data; and generating an exercise prescription adjustment instruction based on the data quality score, the physiological load index, the risk classification and the recovery prediction window, and dynamically adjusting the exercise intensity. The problems that the traditional technology is difficult to adapt to individual differences and dynamic changes, is easily interfered by motion artifacts, lacks multi-modal fusion and is rough in feedback mechanism are solved, and the motion state monitoring accuracy and the refinement level of motion prescription adjustment are improved.

The application discloses an identity authentication method based on a mixed physiological state electrocardiosignal, relates to the technical field of biological feature recognition, and aims to solve the problem that the identity recognition research on the electrocardiosignal in the prior art is mainly concentrated in the resting state and the research on the identity recognition before and after exercise is less. The method comprises the following steps: acquiring mixed electrocardiosignal data of a to-be-tested person; pre-processing the mixed electrocardiosignal data to obtain pre-processed mixed electrocardiosignal data; taking the pre-processed mixed electrocardiosignal data as input, outputting an embedding feature vector based on an electrocardiosignal extraction network model; calculating a cosine similarity value according to the embedding feature vector, and authenticating the identity of the to-be-tested person according to the cosine similarity value. The method can simultaneously adapt to and process the electrocardiosignals in the exercise state and the resting state, and improves the accuracy and robustness of identity authentication.