278 results about "Physical fitness" patented technology

The invention relates to the technical field of medical aid decision making, in particular to a system and method for generating an individualized nursing scheme based on the comprehensive evaluation condition of the elderly. According to the method, various physiological time sequence data of the old people in a specific life scene are collected and the periodic fluctuation characteristics of the data are extracted, so that the subtle change trend of the daily rhythm of the old people can be accurately identified, the dynamic influence of the chronic disease progress on the physiological state is revealed by further comparing the rhythm deviation degree and continuity in different time periods, and the accuracy of the physiological state of the old people is improved. Then, in combination with the trend change rate and directionality thereof, an interaction mode between physiological changes and chronic disease indexes is described in continuous observation, so that the measurement of the coupling adaptation degree between individual physiological responses and chronic disease conditions is achieved, through normalized amplitude difference and matching interval screening, individual physical ability and chronic disease adaptation labels are accurately given, and the accuracy of the physical ability and chronic disease adaptation labels is improved. And further comprehensively measuring the adaptation priority of each intervention element in the individual in a multi-dimensional scoring mode, and constructing a nursing intervention combination oriented to a specific crowd state.

The invention provides a multi-element ability evaluation system and evaluation method for children education, and relates to the field of children education systems. According to the multi-element ability evaluation system for children education, the multi-element ability evaluation system for children education is realized through a multi-element ability evaluation system, and the multi-element ability evaluation system comprises three functional modules, namely an evaluation module, a management module and an evaluation analysis module, the evaluation module comprises a learning ability evaluation module, a physical health evaluation module and an emotion and mental state evaluation module, the evaluation module, the evaluation analysis module and the management module are in communication connection through the Internet, and the multi-element ability evaluation system comprises an evaluation report generation module. According to the invention, comprehensive test evaluation can be carried out on three aspects of intelligence quotient and physical ability of the children, so that multiple abilities of the children can be known more comprehensively through the evaluation result, the children can be better taught according to the case and the materials, and the education of the children is more efficient.

The invention belongs to the technical field of physical ability analysis and diagnosis, and particularly relates to a latent variable fusion modeling method and system for old people weakness trajectory prediction based on biomechanics. According to the method, the plantar pressure, the joint angle and the electromyographic signal in the gait process of the elderly are collected through wearable sensing equipment, multi-dimensional structured feature parameters are extracted, and a key index group reflecting the weakness degree is generated based on preset weight fusion. And in combination with time sequence fitting and variation trend analysis, dynamic evaluation and risk level judgment of the weakness state of the old people are realized. The system comprises a data acquisition module, a feature extraction module, an index fusion module, a trend analysis module and a result output module, has the characteristics of high accuracy, strong real-time performance, good interpretability and the like, and is suitable for weakness risk screening and rehabilitation intervention guidance.

The invention relates to the technical field of data analysis, in particular to a physical exercise trajectory data analysis system based on AI recognition. Comprising a data acquisition module for acquiring multi-dimensional data of a table tennis player in a movement process through a multi-modal sensor; according to the method, a multi-dimensional complete data set is formed by accurately capturing the biomechanical data of the acceleration, the angular velocity and the force output of the ping-pong athlete in the actions of running, jumping and swinging, a basis is provided for accurate analysis of the force exerting skill of the ping-pong athlete, and the force exerting skill of the ping-pong athlete is accurately analyzed through the AI model. The exercise efficiency, physical fitness condition and action precision of the ping-pong athlete are predicted, so that the power generation skill and promotion space of the ping-pong athlete are better analyzed, a personalized training plan is generated according to the defects of the athlete, the ping-pong athlete is assisted in identifying and improving the defects, and the training efficiency is improved. Powerful support is provided for improving the power generation efficiency and the ball hitting stability of the ping-pong athletes, and the training effect of the power generation skills of the ping-pong athletes can be improved.

The invention provides a human body posture abnormity assessment method based on a body measurement all-in-one machine, and the method comprises the steps: obtaining the video data, collected by multiple cameras, of the bending and foot touching actions of a subject, carrying out the preliminary positioning of a spine, a lumbar vertebra and thoracic vertebra transition region, and key points of legs, and extracting the coordinates of the key points; leg joint angle change is calculated according to the leg key point coordinates, if the angle change amplitude is lower than a preset threshold value, it is judged that leg flexibility is insufficient, a key point tracking strategy is adjusted, and the tracking density of a leg area is increased; according to the posture abnormity score, generating a posture abnormity report of the bending and foot touching actions of the subject, and marking specific positions of spine curvature abnormity, stiffness increase of a transition area between the lumbar vertebra and the thoracic vertebra and insufficient leg flexibility; and dynamically updating a key point tracking strategy and an attitude anomaly judgment threshold according to the action normativity score, and optimizing the accuracy and real-time performance of subsequent action evaluation.

The invention discloses an AI (artificial intelligence) intelligence and physical fitness improvement training device which comprises a lower limb training device, an upper limb training device, a crank assembly, a rocking handle and a controller, the lower limb training device is fixedly connected with the upper limb training device, and the upper limb training device is fixedly connected with the controller; the crank assembly can be adjusted according to the body type of a user, so that the training difficulty is reduced, the training effect is enhanced, and the sports injury risk is reduced; the personalized scheme making module synthesizes the user information and the physiological data to generate an initial training scheme, and optimizes the training scheme according to the user feedback and the user physiological data in the training process, so as to provide a scientific and reasonable personalized scheme for the user; a training effect evaluation module is used for evaluating by integrating the current training scheme and the standard training scheme, and feeding back a training result to the user in time; and the interestingness of the training process is enhanced through the learning and entertainment module, so that the user can synchronously carry out entertainment or learning during training.

The invention relates to the technical field of training evaluation, in particular to an evaluation method and system based on functional actions and physical fitness, and the method comprises the steps: collecting an image when a user does an evaluation action; the action quality score after the user completes the assessment action is calculated, the action and physical fitness of the user are assessed according to the action quality score, and the action quality score is in positive correlation with the action execution score for completing the assessment action and the balance coefficient for completing the assessment action. The balance coefficient reflects the stability of plantar pressure distribution when the user completes the evaluation action. The method not only improves the accuracy and individuation level of posture evaluation, but also can flexibly adjust scoring key points according to different users and action types. Finally, the intelligent mirror has higher adaptability, real-time performance and guidance in scenes such as rehabilitation evaluation and physical fitness detection, and the training effect of the user is remarkably improved.

The invention relates to the technical field of assessment management, and discloses a police physical training assessment management system which comprises a training data acquisition module, a correlation analysis module, a feature extraction module, a model training module and a training scheme generation module. The method comprises the steps of obtaining data relevance, determining strong relevance data according to the data relevance, performing feature extraction on the strong relevance data to obtain data features of the strong relevance data, and determining data tags of the data features according to assessment score data. Performing model training on a pre-constructed portrait model according to the data features, the data labels and a preset multi-task loss function to obtain a trained portrait model, generating a physical ability hologram of the police according to the trained portrait model, and generating a training scheme of the police according to the physical ability hologram, physical training is carried out on the police according to the training scheme, and the physical training assessment management efficiency of the police is improved.

The invention relates to a physical training risk assessment method and system based on artificial intelligence, and belongs to the field of physical training, and the method comprises the following steps: (a) collecting the physiological and motion data of soldiers in the training process in real time; (b) the collected data are processed and then transmitted to a central server; (c) analyzing the collected data and evaluating a training risk; (d) when the training risk exceeds a preset threshold value, sending out an early warning signal; and (e) displaying a risk assessment result to a coach and soldiers. The method has the advantages that the accuracy of risk assessment is improved, the training risk can be assessed more accurately by comprehensively considering various factors such as physiological data, motion data, environmental data and individual differences, and misjudgment is reduced. Data are collected and analyzed in real time in the training process, risks can be found in time, early warning can be given out, coaches and soldiers can take corresponding measures, and the risk occurrence possibility is reduced.

The invention discloses sheep colostrum immune globulin powder and a preparation process thereof, and relates to the technical field of protein powder. The sheep colostrum immune globulin powder is prepared from the following components in parts by weight: 200 to 250 parts of a sheep colostrum raw material, 350 to 400 parts of whole milk powder, 330 to 370 parts of skimmed milk powder, 30 to 50 parts of prebiotics, 8 to 12 parts of acerola cherry powder, 0.8 to 1.2 parts of lactoferrin, 0.4 to 0.6 part of N-acetylneuraminic acid and 0.3 to 0.5 part of probiotics. Diversified nutritional requirements of a human body are fully considered, various nutritional ingredients are matched with one another and have a synergistic effect, the nutritional ingredients can be better absorbed and utilized by the human body, comprehensive nutritional support is provided for consumers, and the requirements of daily nutritional supplement, physique enhancement, immunity improvement and the like are met.

The invention belongs to the technical field of physical fitness detection, and discloses a riding exercise multi-dimensional physical fitness detection machine and a detection method thereof.The riding exercise multi-dimensional physical fitness detection machine comprises a support, a bicycle body fixed to the top of the support, and a physical fitness detection mechanism arranged on the bicycle body, an adjustable supporting rod and a supporting sleeve are fixedly arranged on a cross beam of the bicycle body, a telescopic hose is fixedly connected to the top of the adjustable supporting rod, and a communicated detection cover is fixedly arranged at one end of the telescopic hose. According to the invention, through the cooperation of the detection cover and the telescopic hose, during physical fitness detection, the detection cover is worn to realize the collection and detection of inhaled and exhaled gases, the oxygen consumption and carbon dioxide output in the exercise process are calculated, the respiratory quotient calculation is completed, and the evaluation of aerobic exercise ability is comprehensively realized; the physical fitness detection range is expanded, and more comprehensive physical fitness detection data are obtained.

The invention discloses a supply and demand matching evaluation method, device and equipment for physical fitness facilities in an open space, and the method comprises the following steps: obtaining the real-time position data of a population in a plurality of preset time periods in a first target range, and obtaining a plurality of demand positions of the physical fitness facilities in each preset time period; obtaining the number of demanded people and fitness activity demand characteristics of each demand position under each age group, and calculating the demand value of each demand position for each physical fitness facility according to the number of demanded people and the fitness activity demand characteristics; obtaining a plurality of supply positions in the second target range, and calculating supply values of various physical fitness facilities in each supply position; the first target range is included in the second target range; and obtaining reachability data between each demand position and each supply position, and performing supply-demand matching evaluation on each demand position and the supply position corresponding to each demand position according to a preset matching evaluation index. According to the method, the matching evaluation accuracy is high.

The invention discloses a teenager physical health intervention method and device and a medium, and belongs to the technical field of health management. A teenager physical health intervention model is constructed by adopting a machine learning algorithm, and the teenager physical health intervention model is trained by adopting historical data and physical type labels; according to the method, a trained teenager constitution classification model is obtained, then the trained teenager constitution classification model is adopted to identify the preprocessed basic body data and body measurement data to obtain a target constitution type label, and finally teenager constitution health intervention can be performed according to the target constitution type label. The requirement for professional knowledge can be effectively reduced, and the physique of teenagers is improved.

The invention discloses a monitoring system and monitoring method for group exercise core body temperature, and belongs to the technical field of exercise health monitoring, the system mainly comprises a plurality of core body temperature monitoring devices with unique identifiers, a data receiver, a data analysis and early warning device with an artificial intelligence real-time early warning model, and a database; the monitoring method comprises the following steps: establishing a one-to-one correspondence relationship between equipment and a monitored person, collecting and calibrating body temperature data, identifying and screening effective data, comparing individual early warning parameters to generate a low / medium / high three-level early warning scheme, and performing two-way early warning of data analysis and early warning equipment and core body temperature monitoring equipment, so that accurate data association and graded intelligent early warning are realized; a complete monitoring closed loop of collection-calibration-screening-analysis-early warning-feedback is formed, it is ensured that core body temperature abnormal risks in group sports are recognized in time and transmitted to monitored persons, group sports body temperature monitoring accuracy and risk prevention and control efficiency are improved, and the system is suitable for group sports scenes such as track and field, football and physical fitness.

The invention discloses an intelligent fitness station physique detection and data synchronization system and method based on a touch screen, and belongs to the field of intelligent transportation systems, the Internet of Things and intelligent terminals, and the method comprises the steps: obtaining a first interaction operation of a user on the touch screen, and collecting a signal quality index and original physiological parameters of the user; synchronously collecting real-time environmental parameters and performing environmental compensation calculation on the original physiological parameters to generate environmental correction data; and acquiring a second interaction operation of the user, generating a contact state signal, judging whether the signal meets a preset synchronous triggering condition or not, and if so, activating a preset data transmission terminal to upload the environment correction data. According to the system, the embedded health detection module and the environment sensing module are adopted for collaborative collection, an environment-physiological parameter dynamic compensation algorithm and an intelligent trigger synchronization mechanism are adopted, accurate physique monitoring can be achieved, environment interference is automatically eliminated, and the data transmission efficiency is optimized.

The invention discloses a physical fitness rehabilitation training device and method based on physical exercise, and relates to the technical field of physical training devices.The physical fitness rehabilitation training device comprises a fixing frame and a holding rod, vertical rods are arranged on the two sides of the top of the fixing frame, and height adjusting assemblies used for adjusting the height of the holding rod are arranged on the vertical rods; a position adjusting assembly is arranged on the fixing frame, a sliding rod is arranged on the position adjusting assembly, a mounting plate is arranged on the top of the sliding rod, and the resistance assemblies with the required number are fixed to the mounting plate through connecting assemblies according to the training requirement of a trainee, so that when the trainee pulls up, the resistance assemblies are fixed to the mounting plate through the connecting assemblies. According to the pull-up training device, the legs need to overcome the resistance brought by the connected resistance assemblies, so that the resistance needing to be overcome by the legs during pull-up becomes larger, rehabilitation of a trainee can be better facilitated, the strength of the upper limbs and the lower limbs can be exercised at the same time during rehabilitation training, and different training intensities can be adjusted according to the rehabilitation degree of the trainee.

The present disclosure pertains to an exercise rucksack designed to facilitate a variety of physical fitness routines. The rucksack includes a base, a top spaced from the base, lateral sides extending from the base toward the top, and a front panel coupled to the base featuring a handle for farmers carry exercises. A back panel is coupled to the base, the top, and the lateral sides, equipped with an interior and an exterior side. The rucksack incorporates at least one pocket assembly on the back panel's interior side, structured to securely hold a weight plate and a water bladder within distinct compartments, each with a closure mechanism. Shoulder straps are provided for wearing stability. The rucksack is further enhanced with multiple handles positioned on either side at the top for varied carrying options, supporting a wide range of exercises and user convenience.

The present invention is directed toward an exercise machine and climbing simulator that enables its users to initiate the climbing or crawling motion whilst being rotated at different angles. This invention includes a rotatable framework and a plurality of foot spines and arm spines that are configured to support the feet and arms of a user. As the framework rotates, the user incurs exercise in maintaining contact with the plurality of foot and hand spines. Each of the foot and hand spines is decoupled from each other, that is, each of the foot and hand spines is configured with independent rotational and lateral movement. By changing the angles of rotation and the positions of the foot and hand spines, gravity is applied in different ways and therefore different muscle groups are targeted. Thus, this invention assists users in acquiring varying degrees of physical fitness and mountain climbing preparation.

A modular teaching / exercise aid for physical fitness training includes: a base plate 20 whose top side is provided with a functional area 22; and two assembly portions 221 each provided at one or the

The invention relates to the field of traditional Chinese medicine health preserving, in particular to traditional Chinese medicine health preserving wine for conditioning sub-healthy constitution of adults, which comprises red ginseng, red paeony root, rhizoma polygonati, rhizoma anemarrhenae, medicated leaven and the like. The formula of the traditional Chinese medicine health-preserving wine contains multiple traditional Chinese medicinal materials with different effects, and the sub-health status of adults can be improved from multiple aspects after the traditional Chinese medicinal materials are compatible with one another. For example, the traditional Chinese medicine can tonify qi, nourish blood, enhance body vitality, nourish yin, lessen fire, regulate yin-yang balance of the body, invigorate the spleen, tonify the kidney and improve immunity and viscera functions of the body, so that the health level of the body is comprehensively improved.

The invention relates to the field of camera shooting, in particular to a running body energy detection camera which comprises a camera body, a supporting rod is arranged on the side of the camera body, a mounting plate is coaxially arranged below the supporting rod, a housing fixedly covers the mounting plate, and a frame fastener is arranged between the housing and the supporting rod. A threaded sleeve is screwed to the lower end of the supporting rod, a movable sleeve is connected to the lower end of the threaded sleeve and penetrates through the interior of the housing in a sliding mode, two extending frames symmetrically extend from the outer surface of the movable sleeve, two auxiliary sliding grooves are symmetrically formed in the two sides of the mounting plate, and the auxiliary sliding grooves in the two sides are arranged in a staggered mode. And main sliding grooves are formed in the front end and the rear end of the mounting plate. The camera is prevented from being damaged, use is effectively facilitated, meanwhile, the camera can adapt to vertical or transverse drainage holes and drainage holes of different sizes for use, flexibility is effectively improved, and use requirements are met.

The invention discloses a physical fitness assessment index dynamic generation method oriented to a military training outline, and aims to solve the problem that existing military physical fitness assessment indexes are static and uniform and cannot adapt to individual differences and real-time states. The method comprises the following steps: carrying out digital analysis on a military training outline to extract a benchmark assessment index; acquiring and constructing individual feature vectors and real-time state data streams of soldiers; on the basis of an adjustment factor calculation model, a dynamic adjustment factor is calculated by fusing the outline benchmark, the individual features and the real-time state data; adjusting a reference index by using the factor, applying a safety boundary constraint, and generating a personalized dynamic assessment index set; and performing index fine adjustment and recording feedback according to real-time data in the assessment process. According to the method, the conversion of the assessment indexes from static unification to dynamic individuation is realized, the scientificity, fairness and safety of assessment are improved, and a continuously optimized closed loop is formed.

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.

1. Name of the product in this design: Physical Fitness Enhancement Trainer (AI Intelligence). 2. Purpose of this design: for physical training. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The application belongs to the field of food processing and biomedical technology, and discloses a preparation method of a salty taste enhancing peptide-naringenin compound and application of the compound in improving cognitive decline. The compound is prepared by compounding salty taste enhancing peptides from soft-shelled turtle eggs and naringenin at a ratio of 20-150:1 (w:w). The preparation process comprises the following steps: soft-shelled turtle egg enzymolysis, ultrafiltration, freeze-drying to obtain salty taste enhancing peptides, mixing the salty taste enhancing peptides with a naringenin solution, concentration, and freeze-drying. The compound has good stability, salty taste enhancing and antioxidant activities, can reduce the use of salt and maintain salty taste. The compound can improve cognitive decline and anxiety caused by aging and diabetes, improve autonomous activity, memory and social skills, strengthen physical fitness, protect nerve cells and skeletal muscles, maintain brain tissue health, and can be applied to the preparation of related preparations for improving cognitive decline.

1. Name of the product in this design: Training Shoes (23 Firefighting Physical Fitness). 2. Application of this design: This design is for use in shoes. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the key design points: Design 1 3D view. 5. Design 1 is designated as the basic design.

The utility model provides a badminton whipping training device capable of adjusting the force exerting strength, and relates to the technical field of badminton whipping training devices, the badminton whipping training device comprises a handle and an iron bead main body, the outer surface of one end of the handle is sleeved and connected with a stainless steel pipe, and one end of the handle is provided with a top cover; according to the badminton whiplash training device, in the training process of a player using the badminton whiplash training device, the connecting rod can be adjusted in the handle in a sliding mode according to the actual situation of the player, and therefore the badminton whiplash training device is convenient to use. The first magnet, the iron bead limiting ring and the iron bead body can be driven to be away from the top cover or move towards the top cover by a certain distance, the distance between the iron bead and the top cover is reduced or increased, the force and weight during swing are adjusted, the badminton whipping trainer can adapt to players with large physical fitness level difference, and the badminton whipping training effect is improved. And the training effect and the use adaptability are improved.

The present application provides a lower limb and center of gravity dynamic balance posture warning method based on a physical fitness all-in-one machine, including: obtaining the pelvic tilt angle, arch height and center of gravity position in a standard standing posture as individualized baseline data, and generating a dynamic balance reference value reflecting the individual's normal balance ability by statistically analyzing the baseline data; on the basis of the dynamic balance reference value, combining the center of gravity forward shift trend and the lower limb muscle compensation pattern, calculating the balance offset index in the standing posture change through a time series analysis algorithm to obtain a dynamic balance risk assessment result; if the dynamic balance risk assessment result exceeds the danger threshold, clustering analysis is performed on the correlation parameters of the pelvic tilt angle and arch height, grouping the correlation parameters, and identifying the potential causes of balance ability degradation.

The invention provides a wearable operation behavior capability digital intelligent evaluation method and system, a medium and equipment. The wearable operation behavior capability digital intelligent evaluation method comprises the following steps: S1, acquiring motion data of one or more limbs of a measurement person through a wearable sensor; and S2, resolving the collected motion data to obtain a digital behavioral ability portrait of the measurement personnel, and performing behavioral ability evaluation on the measurement personnel according to the digital behavioral ability portrait. According to the invention, precise and non-sensitive remote monitoring and tracking of the operation behavior of the measured object are realized through the wearable sensor, and digital evaluation and grading of the operation capability and physical strength of the measurement personnel are realized through data calculation.

This invention discloses a monitoring module for physical fitness assessment, belonging to the technical field of monitoring modules. It includes a fixed frame, with a scale plate fixedly connected to the center of the top surface of the fixed frame. A sleeve block is slidably connected to the scale plate, a finger plate is fixedly connected to one side of the sleeve block, and a fixed plate is fixedly connected to the sleeve block. The monitoring module body is fixedly mounted on the fixed plate. This invention has a reasonable structure. The monitoring module body allows observation of whether the test subject detaches from the finger plate during the testing process. An adjustment component allows adjustment of the sitting / standing component according to the user's height, and a leg-pressing component fixes the leg position to prevent bending.