49 results about "Exercise state" patented technology

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.

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 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.

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 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.

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.

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.

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.

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 invention provides a motion guidance strategy generation method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining historical motion data and single motion data of a user; the historical data comprises data representing exercise habits of a user in specified exercise, data representing adaptability of the user in a specified exercise environment, and / or data representing exercise states monitored by the user in a plurality of historical exercises; the single-time motion data is data which is monitored by the user in the current motion and represents a motion state; and based on the historical motion data and the single motion data, generating a motion guidance strategy for the user. According to the exercise guidance method and device, the historical and single exercise data of the user are comprehensively considered, a highly personalized and accurate exercise guidance strategy is provided for the user, the exercise experience of the user is enhanced, more efficient and safer exercise achievements can be achieved, and scientificity and practicability of exercise guidance are ensured.

The invention discloses a hip bridge trainer which comprises a rack, a back cushion, a seat cushion, a barbell stand and a barbell adjusting assembly. The back cushion is rotationally connected with the rack; the cushion is connected with the rack; the barbell stand comprises a barbell stand body and a swing pair assembly, the barbell stand body is rotationally connected with the rack, the swing pair assembly is rotationally connected between the barbell stand body and the rack, a hanging part is arranged on the swing pair assembly, the hanging part is configured to hang a barbell, and the swing pair assembly is configured to enable the barbell to keep an up-and-down movement track in the movement process; the barbell adjusting assembly is configured to drive the swing pair assembly to rotate so as to adjust the front-back position of the barbell along the trainer. According to the scheme, the back cushion and the barbell stand are of a split structure, barbell position adjustment is associated with rotation of the barbell stand, a better motion state is achieved, and adjustment operation is facilitated.

1. The name of the design product: exercise load test instrument. 2. The use of the design product: for medical institutions exercise load test, by providing different loads, combined with measuring instruments to detect the power and heart rate parameters of patients in real time, for clinical diagnosis. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The present application relates to the technical field of sports health, and relates to a control method and a control system of a portable detection assembly based on multiple sensors. The present application sets multiple training modes, and the user selects the training mode and sets the sports item in advance. Thus, the motion state of the user can be recognized more quickly and accurately. Thus, the motion information of the user can be accurately acquired. Meanwhile, the current motion state can be accurately provided to the user through accurate calculation of the motion intensity. In the motion process, the motion period and the motion height information can be accurately determined through cooperation of the motion sensor and the barometer. The motion consumption can be accurately calculated through division of the motion according to the maximum heart rate of the user based on detection of the heart rate, so as to provide suggestions for body control. The body data of a certain number of users is uploaded to the server, and the information is analyzed, so that reasonable suggestions can be better provided.

Embodiments of the present application are applicable to the technical field of motion control, and provide a control method and device of a fitness device, electronic equipment and a medium, the fitness device comprising a first fluid driver and a second fluid driver, the first fluid driver and the second fluid driver being communicated through a valve, the method comprising: acquiring a motion state of the fitness device and determining a motion direction of the fitness device, the motion state comprising a motion mode and a motion stage; determining a target output force of the fitness device according to the motion state and the motion direction; and adjusting the valve according to the target output force, the valve being used to adjust a resistance generated when fluid flows between the first fluid driver and the second fluid driver. In the above manner, the control of a flow control damping fitness device using fluid resistance as an output force can be realized, so that the resistance provided by the flow control damping fitness device is consistent with the force habit of human body exercise.

Provided in the present application are an intermittent hypoxic-hyperoxic training instrument for both dynamic and static use, and a training method and a terminal. The training instrument is configured with a plurality of training modes, and comprises: a gas generation apparatus, a control apparatus, an interactive display apparatus, a wearable heart rate apparatus and a blood oxygen measurement apparatus. After receiving a corresponding training instruction, which is sent by the interactive display apparatus in response to a training mode selected on the basis of a user instruction, the control apparatus preliminarily sets an oxygen content parameter of a mixed gas; a heart rate parameter of a trained subject is acquired from the wearable heart rate apparatus, so as to adjust an oxygen content parameter in an exercise state on the basis of the heart rate parameter; and / or a blood oxygen parameter of the trained subject is acquired from the blood oxygen measurement apparatus, so as to adjust an oxygen content parameter in a non-exercise state on the basis of the blood oxygen parameter. The training instrument of the present application is applicable to a plurality of states of a user, and can flexibly and stably adjust gas composition and output a stable gas flow.

A method includes obtaining an exercise state of a user, determining a current physical strength of the user according to the exercise state, and generating an exercise training plan according to the current physical strength. The exercise state includes at least one of an aerobic exercise state or an anaerobic exercise state.

The application relates to the technical field of sports training monitoring, and provides a cross-scene sports physical fitness mode recognition monitoring method and system. The motion posture data, physiological index data and environment situation data of a target object are monitored and acquired in real time, so that the motion state, physiological load and environment of the athlete can be comprehensively perceived; the motion base element is recognized according to the motion posture data and a motion base element sequence is generated; the predetermined motion type of the target object is judged by using the motion base element sequence, the physiological index data and the environment situation data; the motion mode is closely associated with the environment characteristics and the physiological state, so that accurate judgment can be made according to the internal consistency of the motion and the physiology even when the environment signal is fuzzy. According to the judged predetermined motion type, the motion base element sequence and the physiological index data, the physical fitness consumption of the target object is evaluated, and the accurate quantification of the physical fitness load of the athlete is realized.

This invention relates to the field of heart rate variability (HRV) characteristic analysis technology, and discloses a physical education classroom teaching load monitoring system based on HRV. The system includes: guiding users to complete combined movements; extracting four temporal feature points to fit the device time deviation curve; analyzing four-dimensional data of photoplethysmography (PPG) pulse waves to distinguish wearing status; and combining dynamic stable baselines and disease-specific parameters to complete multimodal data acquisition. It employs a temporal feature-based exercise state classification method to divide exercise states, adaptively switching preprocessing algorithms and parameters, identifying preset individual anaerobic thresholds, and introducing HRV feature interpretation logic for smooth transition state switching. During rest periods, it extracts dynamic features of the RMSSD recovery curve, assesses the degree of recovery based on the user's personal historical recovery model, and groups classes based on current recovery, historical physical fitness, and cumulative load. It also employs a three-level directional voice warning mechanism to generate a multi-dimensional teaching analysis report after class, including individual performance and session effectiveness.

The invention provides an application of post-exercise induced tears in preparation of a pharmaceutical composition for treating or preventing myopia, which is characterized in that the tears (TA) of a healthy individual after exercise are collected and subjected to standardization treatment to serve as an active ingredient to prepare an ophthalmic preparation. Collecting tears based on the motion state difference, carrying out standardization treatment, and treating the A549 cells; taking the complete tear as a transcriptome perturbation factor, and obtaining a gene expression profile through high-throughput sequencing; analyzing and predicting a tear function by using reverse transcriptomics; and finally verifying the biological effect through an animal model. Experimental results show that after-exercise tear-induced gene characteristics are in significant negative correlation with myopia-related disease expression profiles, and in a form deprivation animal model, TA can effectively inhibit ocular axis growth (plt, 0.001) and diopter progress (plt, 0.01). The invention reveals for the first time that movement mediates ocular axis regulation by changing the tear function, and has the advantages of non-invasiveness, high safety, large transformation potential and the like.

The invention relates to the technical field of motion analysis, in particular to a tennis training evaluation method and system integrating inertial measurement and myoelectricity measurement, and the method comprises the steps: obtaining motion parameters of a plurality of positions on a user body through an inertial measurement unit; acquiring a muscle activation state of a racket-holding arm of the user through a myoelectricity measuring unit; motion state judgment: the current motion state is judged according to the motion parameters, and the motion state comprises a shooting process; force application state acquisition: force application states in the corresponding motion states are acquired according to the muscle activation states, and the force application states in the corresponding shooting process comprise shooting grabbing opportunity ratios; and technical evaluation: according to the motion parameters and / or the force state in the motion state, comparing with pre-collected standard data, and evaluating and outputting the technical state of the user. The hidden and key technical parameter, namely the shooting and grabbing opportunity, is accurately and objectively quantified, and a scientific training method which can provide personalized evaluation and guidance can be provided.

The application relates to the field of health equipment management, in particular to a health management equipment data analysis system and method based on the Internet of Things, which comprises a motion detection module, a cluster association module, a state recognition module, a heat monitoring module and an intelligent scheduling module; the motion detection module is used for detecting a motion state, collecting resting data and motion data; the cluster association module is used for generating a motion cluster; the state recognition module is used for judging a current motion type of a user; the heat monitoring module is used for estimating real-time heat consumption; and the intelligent scheduling module is used for detecting a recovery state of the user and matching an appropriate motion cluster. The application can perform personalized analysis on health data of a user, reasonably arrange a daily exercise plan, guarantee a physical state of the user, achieve better exercise effect, help the user record and analyze health data, improve detection accuracy of the health data and improve health management efficiency.

This invention relates to the technical field of smart wearable devices and sports health monitoring, and more specifically, to a method for monitoring exercise status and a smart sports bra. The method includes: synchronously acquiring a user's physiological and motion signals through a multimodal sensor array; preprocessing the acquired physiological and motion signals; removing motion artifacts from each physiological signal using a deep learning model based on a cross-attention mechanism; extracting multi-dimensional physiological and motion features from the denoised physiological and motion signals; fusing and analyzing the extracted physiological and motion features based on a pre-trained artificial intelligence model to assess the user's exercise status in real time; and generating and outputting feedback information based on the assessment results. This invention achieves multi-dimensional synchronous monitoring of exercise physiological status, improves signal quality and assessment accuracy, and can be widely used in sports training, health monitoring, and rehabilitation management.