95 results about "Exercise Type" patented technology

The invention provides an exercise risk dynamic identification system for a cardiac patient, and relates to the technical field of data processing. A user side; the server comprises a reference data matching module which is used for receiving the pre-exercise type and the pre-exercise duration, and analyzing the index by combining the body detection information and the environment temperature to obtain a reference index interval; the reference data verification module sends the reference index interval to the medical node to obtain a verified index interval; the alarm end comprises a dynamic comparison module used for carrying out risk analysis on the detection value based on the approved index interval to obtain risk levels; and an early warning device. By means of the exercise risk monitoring method and device, the technical problems that due to the fact that traditional exercise risk monitoring equipment usually conducts monitoring and early warning based on a fixed threshold value, the phenomena of erroneous judgment and missed judgment frequently occur, and the accuracy and reliability of monitoring and early warning are poor can be solved, the target of accurate monitoring and early warning can be achieved, and the effect of effectively guaranteeing the exercise safety of a patient is achieved.

The invention discloses a method and a device for testing motility and wear resistance of socks, and relates to the technical field of wear resistance detection of socks. The method comprises the following steps: S1, collecting user parameters and gait parameters of different motion types, constructing a gait model, calculating a pressure distribution evaluation value, and carrying out data preprocessing; s2, new material socks are installed, the stress path and the friction environment of the socks under the real movement condition are controlled and reproduced through the rhythms of different movement modes, the friction force, the sliding track and the local shearing condition are synchronously recorded, and a wear track is formed; s3, obtaining a sock sole image, performing visual identification and wear region extraction, and outputting a quantitative wear index; and S4, evaluating the wear resistance of the new material socks, carrying out suitability matching analysis, taking optimization measures, and outputting an evaluation report. The problem that due to the fact that different movement types have completely different gait cycles and movement postures, wear of the socks is difficult to test is solved.

A system includes a processor that is configured to receive input information including a user's training goal and type of sport, generate a training plan based on the received information, capture and upload a training video of the user performing training according to the training plan, analyze the uploaded training video to identify errors in the user's movements and points for correction, and provide the identified correction points and specific methods for improvement to the user.

The invention relates to the technical field of heart rate detection, in particular to a heart rate detection method based on motion power, which comprises the following steps: acquiring radar signals and heart rate signals in different motion states; performing frequency spectrum extraction of different distance values on the radar signal, calculating the volume of the body part by using the area of the body part, and obtaining the mass of the body part through the volume of the body part; calculating the displacement of the body part; calculating the speed and acceleration of the body part; calculating the physical force of the body part by using the acceleration; calculating the physical workload of the body part according to the physical force; converting the physical workload into motion power; constructing a first LSTM model, and inputting the exercise power and the actually-acquired heart rate into the first LSTM model to obtain a first predicted heart rate; and constructing a second LSTM model by taking the exercise power and the first predicted heart rate as input, and outputting a second predicted heart rate. The heart rate estimation based on the density method is easily influenced by factors such as individual differences, motion types and intensity.

The invention relates to the technical field of sports protection, in particular to an intelligent protection system for lower limb joints in sports. Comprising a mounting bandage, a wearing support plate, a controller, an attitude sensor and a joint angle sensor, a driving device is arranged on the wearable supporting plate; the controller is arranged on the wearable supporting plate and comprises a data calculation module used for calculating and analyzing data of the attitude sensor and the joint angle sensor and recognizing abnormal signs of a wearer; the emergency warning module is used for sending warning information when abnormal signs are recognized; the alarm module is used for carrying out alarm processing when the warning information is sent out and measures cannot be taken within a preset time; the motion recognition module is used for recognizing the motion type of the wearer through the attitude sensor, generating a wearable supporting plate rigidity control signal according to the joint risk of the motion type, and adjusting the rigidity of the wearable supporting plate through the driving device. According to the technical scheme, the injury risk of lower limb joints in movement can be effectively reduced.

The invention relates to a physical training scheme generation method and system for limb feature recognition, and relates to the field of physical training, and the method comprises the steps: collecting a skeleton topological portrait and a body shape proportion portrait of a target user; retrieving a joint number list and a joint standard time sequence coordinate list of the to-be-trained motion type meeting the portrait; when the target user is trained, the joint training time sequence coordinate list is extracted and compared with the joint standard time sequence coordinate list to obtain a joint time sequence deviation coordinate list; traversing the joint time sequence deviation coordinate list to count a time proportion list of which the coordinate deviation distance is greater than or equal to a deviation distance threshold value; the joint number set with the moment proportion larger than or equal to the moment proportion threshold value is extracted, the joint number set is input into the action matching library to execute abnormal action configuration to obtain an abnormal action set, a physical training scheme is configured, and the technical problems that due to the fact that physical training neglects individual body difference, monitoring precision is insufficient, and the individualization degree of the physical training scheme is poor are solved.

The invention relates to the technical field of visual real-time detection and evaluation of fitness actions, and particularly discloses a barbell fitness action real-time detection and evaluation method, which comprises the following steps of: determining a barbell fitness action type, acquiring an image, inputting a network model to predict and obtain a barbell rod area coordinate, mapping to obtain depth information, and extracting point cloud data of a barbell rod area; and fitting a barbell rod center straight line to obtain a real-time motion space trajectory of the barbell, analyzing and calculating to obtain barbell rod motion change information in a motion period, and analyzing and evaluating with a pre-created motion layering condition library to obtain real-time detection and evaluation information. The method combines a deep learning algorithm and a depth camera, can effectively identify and process, has high-precision and high-accuracy detection and evaluation effects, and is suitable for detection and evaluation of various actions of barbell fitness exercises.

A method is provided for using any repetitive athletic activity as software input via a motion sensor assembly removably affixed to any limb segment moved by the activity in repeating swings. Embodiments may generate statistics about the intended activity, such as repetition count and cadence (e.g. cycling RPM), for use in triggering software response. Further embodiments may dynamically calibrate for various sensor assembly positions and exercise types (e.g. on the thigh or ankle for leg-pedaling, or on the wrist or upper arm for arm-pedaling, all at any roll about the limb segment's proximal-to-distal axial dimension). Preferred embodiments may handle calibration covertly as the user operates the software's intended purpose (without an overt “calibration phase,” and without needing to request information from the user). Further embodiments may track an intended activity (e.g. leg-pedaling) while identifying other motions (e.g. knee-swaying, knee-shaking, or sensor assembly disruptions) as distinct from the intended activity.

A dynamic cable-actuated resistance training device comprises a base having first and second side pods at opposite ends of the base. First and second motors are located in the first and second sides pods respectively, and cables attached to the motors exit the side pods vertically to provide exercise resistance. Exercise-level tensions in the cables are only applied at or above a preset force-start point, which is at a certain height above the base, of the ends of the cables. The height may be based on a number of factors including the user's height, body proportions, exercise type, and may also be modified by the user.

The embodiment of the invention discloses a sports injury early warning method and a storage medium. The method comprises the steps that physiological parameters collected by preset equipment in the movement process are obtained, and the preset equipment can be multiple pieces of wearable equipment; determining a real-time physiological state corresponding to the user based on the physiological parameters, and determining motion characteristics of the user in combination with the motion type engaged by the user and the real-time physiological state; determining a feature deviation degree between the motion feature and a preset motion feature, and if the feature deviation degree reaches a preset feature deviation degree threshold value or above, determining a target wearable device based on the feature deviation degree; and generating early warning information corresponding to the target wearable device, and generating a motion relieving strategy of the user based on the early warning information to prompt the user to execute the motion relieving strategy. According to the embodiment of the invention, the accuracy of sports injury early warning can be improved, the sports of the user is more scientific and reasonable, the sports effect is improved, and the user is assisted to achieve the fitness goal more quickly.

The invention discloses a data processing method, first wearable equipment and a computer readable storage medium. The data processing method is applied to the wearable system, the wearable system comprises at least two wearable devices worn on the body of a user, and each wearable device comprises a sensor module. The data processing method comprises the steps that at least two pieces of wearable equipment start a same motion type; acquiring motion data acquired by a sensor module in each wearable device; and in combination with the motion type, based on a preset strategy, obtaining a motion index of the user according to the motion data of the at least two wearable devices.

The present invention relates to an integrated home training posture coaching platform system using artificial intelligence and big data, and provides an integrated home training posture coaching platform system using artificial intelligence and big data, wherein the system collects and analyzes data using artificial intelligence from published big data, compares training information, classified and managed by exercise type and body size, with the size, direction, and angular velocity of movement of each joint of individuals doing home training, provides personalized coaching of posture according to the standardized training method most suitable for the corresponding body information of each individual, and manages, analyzes, and recommunicates exercise methods, exercise habits, exercise amounts, exercise times, and exercise postures so as to enable convenient and safe training at a desired time at home or in a personal private space.

The invention discloses an intelligent operation system for a stadium, and relates to the technical field of intelligent operation systems. Comprising an intelligent region division module which is used for intelligently dividing different regions in the stadium; by analyzing the structural layout and use requirements of the venue, the venue is automatically divided into different motion areas, and area state information is updated in real time; the user interaction module is used for providing a user interface and providing corresponding services based on man-machine interaction; and the intelligent exercise type planning module is used for intelligently planning and guiding the corresponding personnel to go to the corresponding area to exercise based on man-machine interaction according to the physical exercise type selected by the user. According to the user interaction module and the service recommendation unit, the user can conveniently know venue information, reserve a place, participate in activities and the like, related auxiliary services are recommended according to motion types and historical behaviors of the user, and the user experience is improved.

A wearable device includes a sensor, a display, memory storing one or more computer programs, and a processor. The one or more computer programs include computer-executable instructions that, when executed by the processor, cause the electronic device to: obtain data about a motion of the wearable device; identify a type of exercise performed by a user wearing the wearable device while the data was obtained; in response to the type of exercise being different from a type of virtual character, change a first value to a second value, identify a shape of the virtual object based on the second value; in response to the type of exercise being corresponding to the type of virtual character, change the first value to a third value; identify a shape of the virtual object based on the third value; and display the virtual object having the identified shape.

A server apparatus may be provided. The server apparatus may comprise a communication circuit memory and a processor. The processor may: when an exercise type in which a user participates in a challenge and a target value of the user are received from a user device through a communication circuit, identify a type of information related to the exercise type; in response to having transmitted a request for information corresponding to the identified type to the user device through the communication circuit, when the information corresponding to the identified type is received from the user device, identify an exercise ability of the user for the exercise type on the basis of the received information; acquire a correction value for correcting the target value of the user, on the basis of an exercise ability of each of a plurality of users who have participated in the challenge; transmit information about the correction value to the user device through the communication circuit so that the user device corrects the target value on the basis of the correction value; and display a user interface (UI) screen comprising the corrected target value and a character corresponding to the corrected target value.

The invention relates to a motion breathing rhythm optimization method, system and device based on somatosensory synchronization of smart clothing and a medium, and the method comprises the steps: collecting human motion posture data in real time through a sensor assembly, extracting the main frequency and phase features of a motion rhythm through a time-frequency mixed analysis method, and recognizing the type and intensity of a current motion; according to the current motion type and intensity, calling a matched inspiration and expiration ratio parameter in a preset respiration database, predicting a starting point of a next period by combining the phase characteristics, and generating a target respiration rhythm template containing a phase compensation amount; generating a pneumatic tactile waveform parameter group based on the target respiratory rhythm template, controlling the working time sequence and the pressure gradient of a flexible pneumatic assembly of the intelligent garment according to the pneumatic tactile waveform parameter group, and forming simulated respiratory fluctuating waves propagating along the direction of the intercostal muscles on the body surface of the human body. Therefore, implicit accurate regulation and control of the motion respiratory rhythm are achieved through the synergistic effect of pneumatic tactile feedback and an intelligent algorithm.

The invention discloses a virtual assistant method and system for a gymnasium management system, and the method comprises the steps: collecting an image of a target human body, carrying out the image cutting of the target human body according to preset human body parts, and obtaining a human body block image; determining symmetric points, symmetric axes or symmetric planes according to the acquired human body block images and fitness exercise types, and performing symmetry analysis on the cut human body block images according to the marked symmetric points, symmetric axes or symmetric planes; according to the symmetry analysis parameter result of the human body block image, balance judgment of the target human body in the corresponding fitness exercise type is carried out, and if the symmetry analysis result of the human body block image of the target human body does not meet a preset standard parameter range, the target human body is obtained. If yes, generating an exercise correction strategy of the human body block corresponding to the target human body under the corresponding fitness exercise type; the exercise correction strategy is sent to a fitness management person, and the fitness management person guides correction of the fitness exercise of the target human body according to the exercise correction strategy.

The invention discloses a three-dimensional exercise data resource library construction structure, and relates to the technical field of public fitness, and the three-dimensional exercise data resource library construction structure comprises a multi-modal data acquisition module, a data processing module, a data storage module and an application service module. The data acquisition module is used for acquiring relevant data of sportsmen; whether the three-dimensional data meet the storage requirement or not is preliminarily judged by analyzing the physiological indexes, and the personnel meeting the storage requirement are finally determined by analyzing the technical indexes; by extracting the basic data of the new exerciser, calculating the similarity of the basic data, screening each reference person according to the exercise type, and extracting the mode value of the training frequency of each reference person as the training frequency of the new exerciser, the scientificity and safety of the exercise are effectively improved, and the defects in the prior art are overcome.

The utility model discloses a sole with adjustable rigidity, which comprises an outsole and a midsole which are sequentially arranged from top to bottom, the outsole and the midsole are bonded together, the upper end of the midsole is provided with an embedding groove, an insole is embedded in the embedding groove, the bottom of the insole is bonded with a rigid support plate, and the rigid support plate is connected with the outsole and the midsole. The insole is provided with an embedded groove, the rigid supporting plate is arranged between the embedded groove and the insole, the Shore hardness C of the insole ranges from 38 degrees to 45 degrees, the thickness of the insole ranges from 10 mm to 30 mm, the thickness of the rigid supporting plate ranges from 0.6 mm to 1.5 mm, the Shore hardness C of the insole ranges from 38 degrees to 45 degrees, and the thickness of the insole ranges from 10 mm to 20 mm. The depth of the embedded groove is equal to the sum of the thickness of the insole and the thickness of the rigid supporting plate, and the shape and the size of the embedded groove are matched with the shape and the size of the insole respectively. According to the shoe sole with the adjustable rigidity and the shoe, the overall longitudinal rigidity of the shoe sole is adjusted to adapt to different crowds and exercise types, so that the shoe sole has better cushioning performance and exercise performance.

The invention discloses a weight losing scheme generation method and system based on food share and exercise data, and the method comprises the steps: obtaining daily recommended intake energy data based on weight data and physical activity type data; distributing the daily recommended intake energy data to obtain share quantity data of each type of food; calculating according to the gender data, the age data, the height data and the weight data to obtain basal metabolic rate data; calculating physical activity energy consumption data according to the daily weight loss target data, the daily recommended intake energy data and the basal metabolic rate data; inputting the physical activity energy consumption data and the expected exercise type data into an energy consumption calculation formula to obtain daily activity duration data; and generating a weight losing plan based on the share quantity data of each type of food, the daily exercise type and the exercise duration data. According to the method, the user can be helped to efficiently reduce weight and maintain body health.

The invention discloses a body moving posture angle video automatic identification method, which belongs to the technical field of artificial intelligence and comprises the following steps of system starting and configuration, data acquisition and motion type identification and posture analysis and angle calculation. According to the method, the key posture angles such as knee joint angles and shoulder angles are automatically analyzed and calculated through video streaming or real-time capture of movement actions of athletes and by means of advanced image processing and deep learning algorithms. Meanwhile, the method can automatically identify the exercise type and provide personalized feedback and suggestions, thereby helping the athlete to optimize the training effect, improving the exercise efficiency and reducing the exercise injury. The method has high innovativeness, and the accuracy, real-time performance and adaptability of an existing motion attitude analysis system can be effectively improved.

The invention discloses a preparation method of a stem cell preparation modified by exercise, which comprises the following steps: 1) setting an exercise type, an exercise period, an exercise frequency and an exercise duration, and performing exercise intervention on human or non-mammals; and 2) extracting primary mesenchymal stem cells from tissues of human or non-mammals after motion intervention, and performing in-vitro culture passage to obtain mesenchymal stem cells of a target generation, namely the stem cell preparation modified by motion. The invention further discloses the stem cell preparation modified through movement, the advantages of movement and the advantages of the stem cell preparation are fully combined, on the basis that the tumor targeting characteristic of the stem cells is reserved, the stem cell preparation has beneficial components which have the treatment effect on tumors after movement modification, safe and efficient treatment of targeted tumors is achieved, and the stem cell preparation modified through movement is suitable for being used for treating tumors. Wide application prospects are realized.

To fulfill utilizable exercise types without sacrificing effectiveness and safety of exercise therapy.SOLUTION: A program allows a computer to function as means for determining desired exercise intensity, means for referencing a database for relating predetermined exercise intensity to an exercise type and selecting an exercise type corresponding to desired exercise intensity for each exercise type composed of exercise in which each repeats the same operation at least at a specific pace or in a specific operation region, and means for presenting information showing a selected exercise type to a user.SELECTED DRAWING: Figure 5

The invention discloses a personalized nutrition scheme generation method and system for height increase, and relates to the field of health management, and the method comprises the steps: collecting static biological data, parent height data, health background questionnaire data and intestinal flora samples of a user, calculating the genetic target height and basal metabolic rate of the user according to the static biological data and the parent height data, generating a personal file of the user; extracting height, weight and leg length data of the user from a personal file of the user, obtaining stress distribution of a lower limb epiphyseal plate of the user under different exercise types through biomechanical simulation, and generating a personalized exercise scheme according to a stress distribution result; and estimating daily energy consumption according to the basal metabolic rate and the personalized exercise scheme to obtain the daily total energy demand of the user. According to the method, the problem of insufficient scheme accuracy and adaptability caused by neglecting individual nutrition absorption difference and biomechanical response characteristics in a traditional method is effectively solved.

To provide an athlete development system that enables sports player applicants to accurately grasp a training method or nutrition intake required for enhancing sports performances of themselves, and strengths and weaknesses in accordance with individual body shapes, and receive optimal advice.SOLUTION: An athlete development system for sports player applicants includes the means for: inputting a training method, meals, a sports category and an age on the basis of a sports users select or a current sports; suggesting a list of items to strengthen on the basis of input information; and analyzing an increase period of a height or body weight, an increase period of a muscle, method for increasing techniques, and the strengths and weaknesses in accordance with the individual body shapes, and making suggestions.SELECTED DRAWING: Figure 1

The utility model discloses a multi-station training device, which relates to the field of fitness equipment, and adopts the technical scheme that the multi-station training device comprises a first supporting unit, a second supporting unit and a third supporting unit, the multiple movement units are located on the four side portions of the first supporting unit correspondingly; each moving unit is correspondingly provided with a moving part, and the moving parts are connected with the first supporting units; the number of the counterweight units is multiple, the counterweight units are arranged corresponding to the motion units, and the counterweight units can be linked with the motion parts in the motion units. The fitness training device has the advantages that the training device can be used by multiple persons at the same time according to requirements, and different users can do different types of fitness exercises. The space utilization rate of the fitness equipment is better improved, and the fitness exercise types provided by the same set of fitness equipment are enriched. The device has good expansibility, and more diversified fitness devices can be combined by adjusting the types of the training units.

Multi-device cooperative AI personalized exercise planning generation system. The present application belongs to the technical field of intelligent fitness and health management, and specifically relates to a multi-device cooperative AI personalized exercise planning generation method, which comprises the following steps: S1: obtaining a user basic parameter set and a current dynamic physiological parameter set; S2: performing preprocessing and feature extraction based on the basic parameter set and the current dynamic physiological parameter set, generating a multi-dimensional derived feature vector and a standardized user vector through a feature engineering module; S3: performing feature fusion using the standardized user vector and the multi-dimensional derived feature vector to generate a multi-dimensional user state portrait feature sequence; and S4: performing parallel analysis and decision on the multi-dimensional user state portrait feature sequence using a multi-source hybrid decision model to generate an exercise type preference vector. The present application can realize highly personalized, scientific and safe dynamic exercise planning which can be continuously executed across devices by fusing multi-source heterogeneous data, performing parallel multi-source hybrid decision, dynamically weighted fusion and exercise science knowledge graph mapping.

The present invention relates to a system designed to collect fitness data during strength training exercises and transmit this data to a receiving computer, such as a laptop or smartphone, via wireless or wired communication. The system comprises a central computing device that can be mounted to various attachment points suitable for different exercise types. Certain attachments include force sensing elements that, when connected to the central computing device, enable the transmission of force readings. These readings, combined with device displacement, allow for the calculation of work performed.

To provide a technique for fulfilling exercise types that can be utilized for effective and safe exercise therapy.SOLUTION: A program allows a computer to function as means for acquiring sensing data regarding a user who performs a first exercise type from among multiple predetermined exercise types, means for analyzing sensing data, means for determining whether the user is performing the first exercise type as defined on the basis of an analysis result of sensing data, and exercise definition information defining a first exercise type, and means for presenting information corresponding to a determination result to the user.SELECTED DRAWING: Figure 5