315 results about "Exercise performance" patented technology

The invention discloses a human body motion posture evaluation method and system. Low-cost and high-precision human body posture analysis is realized through common camera equipment. The method comprises the following steps: acquiring a human body motion video through camera equipment; detecting key points of a human body by using a deep learning model, and extracting two-dimensional or three-dimensional coordinates of the human body; calculating joint angle, speed and acceleration based on the key point data; and analyzing attitude stability, motion symmetry and fluency characteristics, and generating a comprehensive evaluation result. The system evaluates the motion quality of the user through comparison between dynamic feature extraction and a standard motion template, and generates personalized improvement suggestions based on specific indexes, including direction adjustment and amplitude range adjustment. The method can be widely applied to scenes such as exercise and fitness, rehabilitation medical treatment and competitive training, and the comprehensiveness, the accuracy and the guiding effect of action evaluation are improved. By means of the method, the user can obtain motion quality feedback in real time, the posture is effectively optimized, and the exercise performance or rehabilitation effect is improved.

The invention provides a personalized fitness system and method based on multi-modal data and an adaptive large model. According to the method, multi-modal data are integrated, and heterogeneous data collaborative analysis is realized by using a space-time alignment algorithm and a confidence coefficient weighting mechanism. A multi-task learning framework is adopted, physiological prediction, exercise risk early warning and psychological incentive strategy generation tasks are synchronously processed, a user stage target is adapted through a dynamic attention mechanism, and federal learning and transfer learning technologies are combined. A nonlinear periodic planning engine based on reinforcement learning dynamically adjusts training load and action difficulty according to real-time biomechanical simulation results and recovery state evaluation, and meanwhile, a lightweight model compression technology and end-side reverse dynamics calculation are adopted. Based on the scheme, the exercise performance prediction precision and the early warning timeliness are improved, and the exercise loss risk caused by overtraining is reduced; the cold start data bottleneck is broken through; low-delay virtual coach interaction and privacy protection are realized; and dynamically adjusting the training intensity and the incentive strategy.

According to the human body activity distinguishing device and method, through an intelligent insole system integrating an inertial sensor and a plantar pressure sensor and in combination with a multi-scale time window analysis method, gait data of a user are accurately collected and processed, daily activity modes such as walking, running and going upstairs and downstairs and changes of the modes are recognized, and the human body activity distinguishing effect is achieved. And real-time health feedback and rehabilitation support are provided. The intelligent insole system comprises an upper computer system, sensor integrated insole hardware and a module communicating with a user terminal and a cloud server. According to the system, multi-modal data is collected through an inertial sensor and a plantar pressure sensor, data processing is achieved in combination with data fusion and a multi-scale sliding time window method, finally, a random forest classifier is used for classifying activity modes, and the functions of health monitoring, posture improvement suggestion, falling risk assessment and the like are achieved. The exercise performance of the user is improved, and personalized health management is provided.

The invention relates to the technical field of rehabilitation medical treatment, in particular to a rehabilitation instrument motion mode control method and system, and the method comprises the steps: obtaining motion angle data and confrontation moment data of a user; determining whether the deviation between the actual motion track and a preset path exceeds a preset threshold value, determining whether the moment actively emitted by the user presents a continuous attenuation trend, and judging whether the motion performance of the user declines; if it is judged that the athletic performance of the user is reduced, diagnostic mechanical stimulation is applied; collecting mechanical response data; according to the mechanical response data, judging whether a counterforce source is active force reduction or non-autonomous muscle stretching reflex; if yes, the mode of the rehabilitation instrument is switched into a vibration assisting mode and a low-speed movement mode; and if the active force is reduced, switching the mode of the rehabilitation instrument to a force compensation mode. The intelligent rehabilitation instrument has the advantages that the movement mode of the rehabilitation instrument is intelligently adjusted, and the pertinence, safety and effectiveness of rehabilitation training are improved.

The invention provides a cantilevered lower body apparatus for gymnasts and athletes comprised of a frame, bar, cantilevered and rotating arms, swivel attachments, and weights. The apparatus targets the lower back, gluteus maximus muscles, and hamstrings, and provides reduced risk of injury and more focused performance of exercises.

A series hybrid / human-powered vehicle includes a generator rotatably coupled to a crankset with foot or hand pedals, one or more motors electrically coupled to the generator and mechanically coupled to vehicle wheels, and a user input resistance device providing supplemental counter-torque to the crankset. A controller with a processor and memory executes instructions to: determine an optimal range of pedaling cadence and torque for a user, calculate a generator counter-torque at the optimal cadence, and set the user input resistance device to adjust the overall counter-torque, which comprises generator and supplemental counter-torques, to maintain it within the optimal range. A stationary fitness machine may incorporate similar components to enhance exercise performance.

The invention discloses a Pick ball athlete action analysis method based on computer vision, and belongs to the technical field of data processing. Standard action videos corresponding to action types of Pick ball athletes are collected by arranging a camera, and the standard action videos are analyzed and learned by utilizing a computer vision technology; according to the technical scheme, the motion analysis method and the motion analysis device, the model capable of analyzing the motion of the Pick ball athlete is formed, then the to-be-analyzed video data of the to-be-analyzed Pick ball athlete is collected, the to-be-analyzed video data is analyzed through the obtained model, and finally the motion analysis result is obtained, so that the normalization of the technical motion can be effectively evaluated; scientific training suggestions are provided for athletes, and athletic performance is improved.

A method and system for enhanced anthropometric analysis of exercise effectiveness comprising: selecting a reference exercise item from a selection of predetermined reference exercise items, wherein the reference exercise items are based on a subject having a reference anthropometry; retrieving a predetermined set of rules associated with said selected reference exercise item; providing anthropometric user information; providing an image sequence having a plurality of frames of a user performing movements associated with the selected reference exercise item; analysing the image sequence to extract anthropometric user information; calculating a discrepancy between the reference subject anthropometry and the user anthropometry for body parts associated with the selected reference exercise item; calculating a difference in a load level based on the anthropometric discrepancy between the reference subject anthropometry and the user anthropometry; adjusting the predetermined set of rules associated with the selected reference exercise item to calibrate for the calculated difference in load level; measuring one or more angles of body parts and / or joints of the user performing the movements from the image sequence; analysing the measurements of the one or more angles of body parts and / or joints against the calibrated set of rules to assess an efficiency of the exercise performance.

The invention provides a throwing action real-time guidance method based on causal inference and self-adaption, and the method comprises the steps: synchronously collecting the kinematics and electromyography data of an athlete through a multi-mode sensor, constructing and applying a dynamic causal graph model which integrates biomechanical priori knowledge and online self-adaption capability, processing the data in real time to generate deep causal enhancement state representation; and based on the model, performing autoregressive pre-judgment on the future motion trajectory of the athlete, and performing quantitative evaluation on the pre-judged trajectory by using a multi-objective cost function integrating athletic performance, injury risk and technical style. When the evaluation cost exceeds an intervention threshold value, a risk source is traced back to determine a kinematic error, and an error correction instruction is generated according to a preset error-instruction mapping relation; the fatigue state of an athlete is monitored in real time, model parameters are finely adjusted on line, a correction instruction is transmitted to the athlete in real time, and prospective and personalized intelligent guidance is achieved.

The invention relates to a shoe sole supporting piece which is used in a shoe sole structure and is sequentially divided into a heel area, a middle foot area, a half sole area and a toe area from back to front in the longitudinal direction, and the shoe sole supporting piece comprises a head located in the toe area; the bearing plate is located in the heel area; the side edge strips are provided with bottommost ends which are arc-shaped fulcrums; a protrusion connected to the pair of side strips in a force-transmitting manner to apply a force to the pair of side strips, said force tilting in the transverse direction; and a mechanically non-reciprocal first deformation unit located in the midfoot region and configured to redirect a force acting on the side strips and tilting in the transverse direction into a jacking force that lifts the carrier plate upward. As a result, additional boosting force or propulsive force can be provided to the runner independently of the seesaw effect to improve the athletic performance of the runner. The invention also relates to a sole structure with the sole support.

The invention discloses a multi-index real-time monitoring exercise cardiopulmonary test method and system, and relates to the technical field of cardiopulmonary function tests.The method comprises the steps that physiological parameters are synchronously collected through a plurality of high-precision physiological sensors, and time synchronization is conducted; performing wavelet transformation on each physiological parameter, extracting multi-scale features, reconstructing normalized physiological parameters, forming a multi-dimensional physiological state vector, performing ventilation compensation point and anaerobic threshold identification, and calculating a plurality of load indexes; and performing standardization processing on the plurality of load indexes, calculating a comprehensive health score, and generating a personalized health report according to the ventilation compensation point, the anaerobic threshold, the comprehensive health score and the time evolution curve. Accurate multi-dimensional data analysis and feature extraction are achieved through multi-scale wavelet transformation and normalization processing, key physiological mutational points are efficiently recognized in combination with dynamic time warping and a multi-dimensional CUSUM algorithm, a personalized health report is generated, real-time health assessment, trend analysis and training suggestions are provided, exercise performance optimization is helped, and exercise injuries are prevented.

A composition for human ingestion that provides improved bioaccesibility, solubility, and / or bioavailability of the extract of ginger is disclosed. The composition comprises an extract of ginger and a source of lithium. A method of improving bioaccesibility, solubility, and / or bioavailability of an extract of ginger is further disclosed, and the method comprises: providing the extract of ginger; and mixing a source of lithium with the ginger extract, thereby producing a water-soluble form of ginger extract. Also disclosed is a method of treating a gingerol-improvable condition that comprises administering to a subject 0.01-30,000 ml of a composition comprising an extract of ginger and a source of lithium. Further disclosed is a method of improving athletic performance in a subject that comprises administering to the subject 0.01-30,000 ml of a composition comprising an extract of ginger and a source of lithium prior to the subject exercising.

Training at the proper level of effort is important for athletes whose objective is to achieve the best results in the least time. In running, for example, pace is often monitored. However, pace alone does not reveal specific issues with regard to running form, efficiency, or technique, much less inform how training should be modified to improve performance or fitness. A sensing system and wearable sensor platform described herein provide real-time feedback to a user / wearer of his power expenditure during an activity. In one example, the system includes an inertial measurement unit (IMU) for acquiring multi-axis motion data at a first sampling rate, and an orientation sensor to acquire orientation data at a second sampling rate that is varied based on the multi-axis motion data.

The invention discloses an upper limb rehabilitation training system and method for a stroke patient. Relates to the technical field of medical rehabilitation. According to the stroke upper limb rehabilitation training system and method, the limbs are driven by a machine to do repeated movement, a nervous system for controlling limb movement is stimulated and reconstructed, and therefore the movement function of the limbs is recovered, and the rehabilitation training effect of the limbs is improved. On the basis of an existing motion tracking and feedback technology, the system and the method are improved, real-time data analysis is carried out based on a sensor, a brain-computer interface technology and a cloud platform, influences of operation environment information and motion performance are considered in individualized requirements of patients, individual differences and environment variables are comprehensively considered in the rehabilitation process, and the rehabilitation effect is improved. A patient can perform rehabilitation training at any place, a rehabilitation physician, the patient and family members can check the rehabilitation condition of the patient at any time, and the precise training system and method suitable for various environments and changeable rehabilitation requirements are provided.

Physical therapy assistant-as-a-service (PTaaS) enables the automatic evaluation of a patient's performance of physical therapy exercises and the automatic provision of feedback to the patient on their exercise performance in real-time. A patient device can provide real-time patient exercise video to a PTaaS backend that performs checks prior to the patient performing the exercise (pre-checks) and checks during patient performance of the exercise (live checks). If any of the checks fail, the PTaaS can provide feedback to the patient, such as if the patient is in an incorrect starting pose or has a body part at an incorrect angle before beginning the exercise or if the patient's form or posture during performance of the exercise needs to be adjusted. The PTaaS can automatically generate exercise metrics, reports, and physical therapy insights that a physical therapy clinician can access from a clinician portal.

To improve sport performance by analyzing body balance, blood components, and a muscle amount of an individual athlete and proposing an appropriate daily training and meal amount.SOLUTION: A system includes means for analyzing body balance, blood components, and a muscle amount of an individual athlete, and means for proposing an appropriate daily training and meal amount.SELECTED DRAWING: Figure 1

The invention discloses an adjustable handheld respiratory muscle training device which comprises a respiratory muscle training device body, a handle is detachably installed at the lower end of the respiratory muscle training device body through a bolt, an adjusting cavity is rotatably connected to the front end of the respiratory muscle training device body in a sealed mode, and a respiratory gas hood is installed at the front end of the adjusting cavity. An air hole is formed in the upper portion of the front end of the respiratory muscle training device body, a plurality of sets of adjusting holes are formed in the adjusting cavity in a surrounding mode, the air hole corresponds to one set of adjusting holes, the number of the adjusting holes is ten, and the ten sets of adjusting holes are sequentially formed in the adjusting cavity in a surrounding mode from large to small in aperture. In particular to an adjustable handheld respiratory muscle trainer convenient to use, the trainer has a multi-gear adjusting function and can provide different degrees of respiratory training loads for a user, and by means of the trainer, the user can effectively exercise respiratory muscles, improve vital capacity, increase athletic performance and improve the health level of the respiratory system.

The invention belongs to the technical field of lung rehabilitation training, and particularly relates to a lung rehabilitation training effect evaluation system and method based on multi-modal data fusion. According to the method, a dynamic reference model conforming to individual differences is established through three-dimensional pulmonary respiration mobility modeling based on patient CT images, individualized comparative analysis of lung function recovery states of different patients is achieved, and meanwhile external respiration dynamics and internal physiological state parameters are collected and fused; rehabilitation quality is evaluated from the two aspects of exercise performance and physiological response, scientificity and reliability of evaluation are remarkably improved, a patient can visually perceive difference between own breathing actions and an ideal state through AR visual correction prompts, active correction of actions and muscle memory formation are promoted, effectiveness of rehabilitation training is improved, and the rehabilitation training effect is improved. The training difficulty and the resistance threshold value are dynamically adjusted according to the historical evaluation result and the real-time correction effect, it is guaranteed that rehabilitation training is gradually strengthened within the safe and reasonable range, and the rehabilitation efficiency is improved.

The invention relates to the technical field of tactile feedback, in particular to a wearable tactile feedback device for badminton training, which comprises a motion parameter extraction module, an action analysis module, a time sequence comparison module, a tactile signal generation module and a feedback execution module. According to the invention, through gaits and racket swinging actions captured by wrist and ankle sensors, the ability of capturing action details of athletes is significantly improved, and different from a conventional tactile feedback technology, the scheme enables the athletes to accurately grasp core parameters of actions such as step length, speed and angle through real-time data capture; the control ability of exercise details is improved, through deep analysis of data, an athlete can obtain direct feedback about action optimization in real time, rapid adjustment is carried out to achieve ideal exercise performance, the individuation and adaptability of exercise training are effectively enhanced, and the exercise training efficiency is improved. And it is ensured that the training scheme of each athlete can accurately meet the actual performance and improvement requirements of the athlete.

A wearable device integrating a network of interactive sensors is disclosed, wherein said sensors are configured to detect, monitor, and transmit real-time spatial position data to a central control unit. The central control unit comprises a processing module that computes the relative positioning and orientation of each sensor within a predefined reference frame, enabling continuous user movement tracking. Upon reaching a predefined spatial condition, the system generates a feedback signal, triggering a responsive sensory output via a haptic, auditory, or visual feedback mechanism. The device employs multiple positioning technologies, including inertial measurement units (IMUs), accelerometers, gyroscopes, magnetometers, radio frequency identification (RFID), Bluetooth Low Energy (BLE), ultra-wideband (UWB), and infrared tracking to ensure high-precision spatial awareness. The system is designed for applications in sports performance optimization, medical rehabilitation, virtual and augmented reality (VR / AR), occupational safety, and industrial hazard detection.

The present invention discloses the use of tyrosol as an enhancer of the physiological effects of creatine and its application in continuous high-intensity exercise. The enhancement of physiological effects includes, but is not limited to, improves muscle endurance, reduces decline in muscle strength, enhances utilization of creatine by muscles, stimulation of the endurance-enhancing effects of creatine, reduces the decline of endurance levels, accelerates resynthesis of phosphocreatine, increases phosphocreatine levels, improves resistance performance, and enhances endurance exercise performance. Particularly, muscle endurance after continuous high-intensity exercise does not decrease or does not decrease significantly.

A composition for human ingestion that provides improved bioaccesibility, solubility, and / or bioavailability of the extract of ginger is disclosed. The composition comprises an extract of ginger and a source of lithium. A method of improving bioaccesibility, solubility, and / or bioavailability of an extract of ginger is further disclosed, and the method comprises: providing the extract of ginger; and mixing a source of lithium with the ginger extract, thereby producing a water-soluble form of ginger extract. Also disclosed is a method of treating a gingerol-improvable condition that comprises administering to a subject 0.01-30,000 ml of a composition comprising an extract of ginger and a source of lithium. Further disclosed is a method of improving athletic performance in a subject that comprises administering to the subject 0.01-30,000 ml of a composition comprising an extract of ginger and a source of lithium prior to the subject exercising.

The invention discloses a preparation method of a fructus cannabis protein peptide product with effects of resisting fatigue and improving exercise ability, which comprises the following steps: performing preliminary crushing, ultralow-temperature freezing micro-crushing and low-temperature continuous phase-change extraction degreasing on fructus cannabis, performing step-by-step hydrolysis by using polysaccharase and 2.4 L bacterial protease to extract fructus cannabis protein, performing low-temperature salting-out, and performing freeze-drying to obtain the fructus cannabis protein peptide product with the effects of resisting fatigue and improving exercise ability. The fructus cannabis protein peptide powder is prepared through low-temperature ultrasonic dissolution promotion, high-pressure micro-jet homogenization, compound enzyme C hydrolysis, 1% pepsase, high-temperature enzyme deactivation, chlorophyll removal through counter-current extraction, hydrogen peroxide decoloration, ultralow-temperature instantaneous concentration, low-temperature vacuum belt type drying and low-temperature ultrahigh-pressure sterilization. The fructus cannabis protein peptide prepared by the invention has the following remarkable effects: 1, the exercise ability is remarkably improved, the accumulation of lactic acid and urea nitrogen is reduced, the exhaustion time is prolonged, and the physical and mental fatigue is relieved; 2, the content of hepatic glycogen and muscle glycogen is obviously increased, the energy reserve of the body is increased, the explosive power and the reactivity are improved, and the athletic performance is improved; and 3, the antioxidant level of the body is improved, and fatigue and immune recovery after exercise are promoted.

The invention relates to the technical field of health monitoring and data processing, and provides a data processing system and method for exercise auxiliary monitoring, space-time alignment of heterogeneous exercise data is realized through a data fusion module, a digital twin representing user exercise health is generated, and the exercise health state of a user can be accurately represented; the risk prediction module constructs a parameter association graph based on a prior knowledge base and historical heterogeneous data, captures a change mode of motion risks through a long-short-term memory network, mines a coupling relationship among heterogeneous motion data through a graph convolutional neural network, and finally fuses two types of information to predict risk probability, so that potential damage risks can be identified more accurately; the monitoring management module determines the generation priority based on the risk probability, the moving target and the historical movement performance, then generates the intervention strategy through reinforcement learning, finally verifies the simulation effect of the intervention strategy through digital twin simulation, assists a user in accurate execution, and greatly improves the practicability and the intelligent level of the intervention strategy.

According to a first aspect of the present invention, it may be provided a computer- implemented athletic performance monitoring method. The method may comprise receiving input data including biomechanical measurement data captured by a sensor module of an article of footwear worn by a user engaged in an athletic activity. Furthermore, the method may include processing, preferably automatically processing, the input data using artificial intelligence to generate athletic performance information. This processing may involve generating a prompt for a generative language model based at least in part on the input data, prompting the generative language model using the prompt to obtain a reply, and generating the athletic performance information based at least in part on the reply from the generative language model. Additionally, the method may comprise causing displaying the athletic performance information to the user on a display screen of an electronic device of the user.

The invention relates to the field of medical care informatics, and discloses an exercise training management system based on multi-sensor fusion, which is characterized in that the system acquires calibration data to establish an individualized exercise physiological response baseline model, inputs actual exercise performance into the baseline model in training, and determines expected physiological signs; calculating a time sequence deviation value between the expected physiological sign and the actual physiological sign; when it is monitored that the athletic performance declines, attribution is carried out based on a time sequence deviation value, and the athletic performance declines are judged to be derived from conventional fatigue or potential physiological health risks, by introducing a time sequence deviation attribution mechanism, the technical problem that in the prior art, due to data isolation, the athletic performance decline causes cannot be judged is solved, and the probability that the athletic performance declines is lowered is lowered. Therefore, the method has the capability of distinguishing conventional fatigue from potential health risks, and decision conflicts between invalid exercise guidance and health risk early warning are avoided.

The present invention provides systems for and methods of playing a video game that includes providing a game character having a virtual appearance characteristic, receiving an input signal indicative of a user exercise performance level, and altering the virtual appearance characteristic in response to receiving the input signal. Numerous other aspects are disclosed.

The invention discloses a method for indirectly evaluating cardiopulmonary endurance and energy metabolism and predicting exercise performance, and belongs to the technical field of exercise evaluation. The maximum oxygen uptake speed of the running machine and the maximum oxygen uptake of the running machine are obtained through testing of the running machine, and the evaluation value corresponding to the cardiopulmonary endurance is inquired through the maximum oxygen uptake of the running machine; the slow muscle proportion is obtained based on the maximum oxygen uptake speed of the treadmill, and the energy metabolism of the treadmill at any constant running speed is evaluated through the slow muscle proportion; and the oxygen-free threshold speed of the field can be obtained through the slow muscle proportion, so that the competition results of different competitions can be predicted. The treadmill is adopted for running, operation is easy, physical strength consumption is low, prediction is accurate, the method is suitable for requirements of different crowds, scientific reference basis is provided for a fitness scheme and assessment of the exercise fitness effect, and the exercise evaluation method is of great significance.

Orthobiologics systems and methods for evaluation of exercise performance, such as physical rehabilitation performance, alone or in combination with pain remediation strategies are disclosed herein. The disclosure provides surgical inserts conducive to healing, approaches for monitoring and evaluation of surgical and nonsurgical rehabilitation, and pain management, collectively for the encouragement of rehabilitation from physical pain such as movement related physical pain.