27 results about "Standing long jump" patented technology

The embodiment of the invention provides a standing long jump distance measuring method and device, a terminal and a storage medium. The standing long jump distance measurement method comprises the steps of obtaining a first video frame; inputting the first video frame into a first classification model to obtain a human body frame confidence coefficient of the at least one moving object and an intersection-to-union ratio between the human body frame and a long jump pad target frame; the intersection-union ratio is a ratio of an intersection area to a union area, the intersection area is an overlapped area between the human body frame and the long jump pad target frame, and the union area is a union area between the human body frame and the long jump pad target frame; under the condition that the intersection-to-union ratio is greater than or equal to a first threshold value and the human body frame confidence coefficient is greater than or equal to a second threshold value, determining a motion area list of the motion object; one motion area list comprises a motion area of at least one motion object; the long jump distance of the motion object is determined based on the motion area list; therefore, the standing long jump test can be carried out by multiple persons at the same time, and the hardware cost is reduced.

The present invention relates to the field of sports artificial intelligence and data management technology, and in particular to a physical exercise AI standing long jump evaluation data management system, which includes modules such as dynamic environment calibration, multimodal identity recognition, and three-dimensional posture analysis; the dynamic environment calibration module utilizes a multispectral sensor array and a deep learning algorithm to establish a dynamic coordinate system without the need for fixed markers; the multimodal identity recognition module integrates gait and facial features to achieve contactless identity authentication; the three-dimensional posture analysis module uses a multi-view camera and advanced algorithms to perform high-precision modeling and analysis of long jump movements; the intelligent violation judgment engine combines rules with AI models to automatically identify violations and dynamically adjust judgment criteria. The present invention breaks away from the limitations of traditional evaluation methods, achieves high-precision, intelligent evaluation, and effectively solves problems such as poor environmental adaptability, inaccurate identity authentication, and lack of data security. The evaluation results are scientific and reliable, and data management is safe and efficient.

The present application relates to a kind of vision-based standing long jump arm swing detection method, equipment and medium, belong to arm swing detection technical field, the method includes: when personnel enters standing long jump area preparation, the key information of each frame of personnel is acquired;According to left / right hand coordinates, left / right hand cumulative peak value score and left / right hand cumulative valley value score are calculated respectively, whether there is swing cycle is judged;When the judgment result is that there is swing cycle, the frame number of each peak value of left / right hand, the frame number of each valley value of left / right hand, the swing amplitude of each valley value of left / right hand and the swing direction of each valley value of left / right hand are determined respectively;The foot off ground degree score and knee joint stretch score of each frame are calculated, whether personnel is in take-off state is judged, the frame number corresponding to the first time that personnel is in take-off state is acquired;The arm swing action of personnel from preparation to take-off process is evaluated;According to the key information of the frame number corresponding to the first time that personnel is in take-off state, take-off posture is evaluated.

The application provides a motion evaluation method and device, electronic equipment and storage medium, and belongs to the technical field of motion evaluation. The method comprises the following steps: in the preparation stage, a preset human body detection model is called to detect input image frames to locate a human body frame, and a test person located in a take-off area is determined according to the human body frame; in the take-off stage, a preset human body posture estimation model and a preset key frame positioning model are called to determine whether the test person has started to take off, so as to determine a take-off frame; in the flight stage and the landing stage, based on the take-off frame, the human body posture estimation model and the key frame positioning model are called to determine whether the test person has started to land, so as to determine a landing frame, determine a landing position of the test person according to the landing frame, and calculate a standing long jump result. Through the technical means of automation and intelligentization, the problems existing in the traditional standing long jump evaluation are effectively solved, and a more accurate, objective and convenient evaluation scheme is provided.

The invention relates to a vision-based standing long jump landing standard detection method, and belongs to the technical field of exercise standard detection. The method comprises the following steps: determining a landing score; determining a time frame corresponding to landing according to the landing score; defining a human body pixel score of each pixel point for the human body box; determining a left-hand displacement score and a right-hand displacement score of the pixel point, determining a left-hand tail end height score, and determining a right-hand tail end height score; determining a left hand grounding score, a right hand grounding score and a personnel hand grounding score according to the left hand tail end height score and the key point coordinates; determining a left boundary score and a right boundary score, determining a hip score of a pixel point, determining a hip end height score, and determining a person hip ground contact score; whether the person touches the ground or not is judged according to the person hand-touched score, and whether the person touches the ground or not is judged according to the person hip-touched score; and judging whether the personnel fall into the ground illegally or not according to the hand ground touching condition and the hip ground touching condition.

1. Name of the designed product: cushion for sports (standing long jump). 2. Use of the designed product: for sports supplies. 3. Design points of the designed product: in the pattern. 4. Picture or photo that best shows the design points: front view. 5. The designed product is a thin product, and the left view, right view, top view, and bottom view are omitted.

The invention discloses a vision-based standing long jump take-off violation detection method, which comprises the following steps of: setting a camera on the side surface of a standing long jump test area to acquire a video image, and calibrating four vertex coordinates of a rectangle in a take-off area and a take-off line edge point coordinate; key point coordinates, including left and right shoulders, elbows, wrists, crotches, knees, feet and tiptoes, of the testers in the take-off process are obtained based on 19 key point recognition models; calculating the coordinates of the key points to judge whether two feet are located in a take-off area, whether the two feet take off, whether footstep movement exists before take-off and whether the two hands contact the ground in front of a take-off line; and after the system is started, calculating a take-off violation score by integrating various judgment results, if the conditions that both feet are in an area, no step moves and no hand touches the ground are met in a set time window, judging that the condition is compliance, otherwise, judging that the condition is violation and outputting an early warning. The method can automatically and accurately detect the taking-off violation behavior of the standing long jump, and improves the fairness and efficiency of a sports test.

A method for evaluating the standardization of standing long jump movements based on posture estimation, belonging to the field of human motion posture correction technology, is characterized by the following steps: Step 1, using a deep learning-based human posture estimation algorithm to capture movements in a video stream and estimate human posture; Step 2, identifying key movements in the standing long jump, constructing a key point sequence of key movements, comparing it frame-by-frame with the test video, and finally selecting the key movements for testing; Step 3, extracting the key movements and performing a standardization analysis with standard movements to obtain the similarity between the movements and standard movements. In this method for evaluating the standardization of standing long jump movements based on posture estimation, a deep learning-based posture estimation algorithm is used to obtain the key points of the long jump movement. By comparing the similarity between each frame of movement and the target movement, the key movements of the long jump are extracted, and the standardization of the long jump is analyzed to evaluate the long jump movement and provide improvement suggestions.

The invention discloses a wearable physical fitness testing device. According to the equipment, an acceleration sensor, a heart rate sensor and a single chip microcomputer are used, and automatic measurement of heart rates of physical fitness test items such as push-up, sit-up, pull-up, standing long jump, rope skipping, 50-meter running, 800-meter running, 1000-meter running and step experiments is achieved. The equipment can be used in a wearable mode, and supports an online data uploading mode and an offline manual data recording mode. The invention provides equipment for automatically carrying out multiple physical fitness tests, and is widely applicable to schools, physical training and management departments.

1. Name of the product in this design: Standing Long Jump Test Data Acquisition Instrument. 2. Purpose of this design: This design is used for collecting data during standing long jump tests. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This invention relates to the field of information acquisition technology, specifically to a sports test information acquisition device, comprising a take-off platform, an anti-slip mat, a light strip, and a control system. The light strip and anti-slip mat are both connected to the take-off platform. Multiple infrared sensors are mounted on the light strip, and these sensors are connected to the control system. A cushioning airbag is connected to the take-off platform, and multiple adjusting plates are laid on the airbag, with adjacent adjusting plates interconnected. The anti-slip mat is laid on the adjusting plates, and the light strip is slidably mounted on the adjusting plates. This invention, during standing long jump information acquisition, uses the airbag to cushion and reduce the inertia-induced injury to the body, allowing the infrared sensors to descend with the body without obstruction. This reduces the inertia-induced injury to the body during the long jump and avoids the infrared sensors collecting data from the heel area during the cushioning process, thus preventing them from affecting the accuracy of the information acquisition.

The application discloses a standing long jump measuring method and device, and the method comprises the following steps: calibrating a received standing long jump mat image and obtaining a perspective conversion matrix of an original plane coordinate system and a new view plane coordinate system; sending a take-off preparation prompt information after identifying that the face information of a tester is consistent with the pre-stored information; converting the original plane image including the real-time acquired tester bone data into a new view plane image through the perspective conversion matrix; receiving a first image of the tester in a standing long jump mat take-off area in the new view plane image, determining that the tester does not step / cross the take-off line, detecting the take-off condition of the tester, and detecting the landing image of the tester after determining that the tester takes off; determining whether the tester commits a rule violation through the landing image; if no rule violation is committed, obtaining the long jump distance of the tester based on the landing image; and if a rule violation is committed, sending a rule violation prompt signal. The application can accurately identify the rule violation actions of the tester in the standing long jump process, and improve the measuring accuracy.

The invention provides a standing long jump posture evaluation method and device, electronic equipment and a storage medium, relates to the technical field of image processing, in particular to the field of computer vision and the like, and can be applied to application scenes such as teenager physical education, physique testing and training and the like. According to the implementation scheme, for any video frame in a standing long jump video of a target object, a human body space position, a joint included angle, a body part relative position parameter and a human body movement speed of the target object in the video frame are generated; extracting a plurality of key action frames from the standing long jump video according to the human body space position, the human body movement speed and the joint included angle of the target object in each video frame; according to the standard posture parameter and the body part relative position parameter, the human body movement speed and the joint included angle of the target object in any key action frame, obtaining a key action evaluation result of the target object in the key action frame; and determining a standing long jump attitude evaluation result according to each key action evaluation result of the target object.

This invention discloses a time-series-based method for detecting the landing performance of a standing long jump. The method decomposes the long jump motion and generates scatter plots for each decomposed motion based on the time series. The landing situation is determined based on the scatter plots, and the method identifies the frame containing the landing moment in the long jump image where the jump distance can be accurately calculated. The final long jump distance is then calculated quickly and accurately. The calculation process does not require setting complex image processing thresholds, determining the jump foot posture, or identifying skeletal key points. It can handle more landing situations, has greater versatility, is simple to calculate, has a fast processing speed, and high accuracy. Furthermore, the long jump image is processed before calculation, segmenting the human body and background, minimizing interference from the background during the calculation of the segmented image.

The invention relates to the technical field of artificial intelligence, in particular to a standing long jump test method, system and equipment based on artificial intelligence, and the method comprises the following steps: obtaining a landing image frame, extracting a plantar contact area, recognizing and removing broken chain edge pixels, positioning an angle jump block, extracting a main axis path, and analyzing direction deviation. And tracking a trunk action to identify an interference behavior, extending an edge repair fracture path, and constructing a reconstructed boundary image frame group. According to the method, a closed jump contour can be formed by extracting a landing boundary interruption chain region and reconstructing an edge structure, and an offset fragment in an action process is marked by combining a boundary sudden change block with an associated position of a body principal axis direction change, so that an image sequence relationship between a limb part in a landing stage and action connection is analyzed; path interference caused by direction jump is eliminated, boundary identification coherence and abnormal behavior distinguishing capability in the jump process are enhanced, and distinguishing precision and structure restoration coordination degree of jump behaviors and interference factors in an image sequence are improved.

The application discloses a human standing long jump action evaluation method and device, medium and equipment, relates to the action evaluation field, and comprises the following steps: acquiring original coordinate data of a human key node, and determining coordinate data consistent with an actual height direction; based on the coordinate data, extracting a vertical coordinate average value of a corresponding key point of a foot as a whole palm position; determining a foot vertical speed by performing numerical first-order differentiation on the whole palm position of multiple frames in a standing long jump video; determining a take-off time and a landing time based on the foot vertical speed, and extracting a human motion trajectory in an air phase; fitting the human motion trajectory to determine a real motion trajectory; extracting a posture angle, a body index and a motion index in the real motion trajectory, taking the posture angle, the body index and the motion index as independent variables, and taking a standing long jump final posture estimation result as a dependent variable, and constructing a multiple linear regression model for standing long jump final posture estimation.

1. Name of the product in this design: Standing Long Jump Mat. 2. Purpose of this design: Auxiliary test mat for standing long jump test. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The invention discloses an anti-slip wear-resistant elastic plastic material for a standing long jump ground mat and a preparation method of the anti-slip wear-resistant elastic plastic material, and relates to the technical field of ground mats. When the anti-skid wear-resistant elastic plastic material for the standing long jump ground mat is prepared, pre-modified acrolein oxime and bromopropane react to prepare modified acrolein oxime; castor oil and a resorcinol monomer are subjected to a reaction, and modified castor oil is prepared; reacting the pre-modified silicon dioxide with methylphenyl phosphonic acid to obtain modified silicon dioxide; polyethylene glycol, toluene-2, 4-diisocyanate, the modified acrolein oxime and 1, 4-butylene glycol are subjected to a reaction, and a polyurethane prepolymer is prepared; and pouring and curing the polyurethane prepolymer, the modified castor oil, the modified silicon dioxide and 1, 3-propanedithiol to prepare the anti-skid wear-resistant elastic plastic material for the standing long jump ground mat. The anti-slip wear-resistant elastic plastic material for the standing long jump ground mat prepared by the invention has excellent antibacterial, self-repairing, anti-slip and flame-retardant properties.

The invention discloses a standing long jump evaluation system and method based on visual motion capture, and relates to the technical field of multi-point coordinate data evaluation.Multi-point coordinate data of an athlete is captured through the evaluation system, the position of the athlete in the air is recognized, the tolerance range is adjusted according to a dynamic adjustment algorithm, and the track of the athlete is analyzed through multi-dimensional data; according to multipoint coordinate data and historical data of the athlete, an intelligent correction algorithm is used for predicting and correcting an abnormal track, and according to a current track analysis result, a tolerance range after dynamic adjustment and an air position of the athlete, subsequent analysis parameters are adjusted in real time and then evaluation is carried out. The system can intelligently optimize the analysis process according to different camera shooting angles, athlete postures and environmental factors, errors caused by the environmental factors can be remarkably reduced through flexible adjustment of the tolerance range under irregular environmental conditions, it is ensured that the captured motion trails accurately reflect real actions of athletes, and therefore the evaluation precision is improved.

1. The name of the design product: AI wisdom body measurement system (PFT-100V iteration version). 2. The use of the design product: The design product is used for conventional physical measurement items such as skipping, standing long jump, pull-up and so on. 3. The design points of the design product: the combination of shape and pattern. 4. The picture or photo that best indicates the design points: perspective view 1.

The present application relates to the field of sports information technology, in particular to a kind of sports teaching intelligent sports testing system.The system: data acquisition module real-time acquisition student's movement image, depth information and identity radio frequency signal;Edge computing module receives real-time data, uses human body posture estimation technology to extract skeletal key points, and combines finite state machine model to determine the standard degree and automatically count the actions such as chin-ups, sit-ups and the like;Precise measurement of standing long jump is realized using binocular vision or depth ranging algorithm;Identity verification and anti-cheating monitoring are carried out in the test by monitoring module;Cloud management module receives the data transmitted by edge computing module through data transmission module for statistical analysis, and generates personalized exercise program according to the analysis result.The present application effectively prevents cheating and irregular behavior through biometric detection, trajectory tracking and behavior analysis technology, and solves the problems of low efficiency, large subjective error of manual judge and difficult to prevent cheating in traditional sports testing.

The utility model relates to a standing long jump tester, and belongs to the field of motion measurement, the standing long jump tester comprises a bottom plate, an infrared emission rod, an infrared receiving rod, a control panel and a display panel, the infrared emission rod is arranged on the bottom plate and used for sending infrared rays, the infrared receiving rod is arranged on the bottom plate and used for receiving the infrared rays, the infrared receiving rod is parallel to the infrared emission rod, and the control panel is arranged on the bottom plate. The control panel is arranged on the infrared receiving rod, the display panel is arranged on the infrared receiving rod, and the control panel is electrically connected with the infrared transmitting rod, the infrared receiving rod and the control panel. The method has the advantages that manual measurement, calculation and judgment are not needed, and the accuracy and efficiency of measurement of the standing long jump score are effectively improved.

1. The name of the design product: standing long jump tester. 2. The use of the design product: the design product is used for detecting and displaying the standing long jump distance. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

Provided is a method for evaluating pose in standing long jump, an electronic device, and a storage medium, relating to the field of computer vision applicable to scenarios of physical education, fitness testing, and training for adolescents. The method includes: generating, for a video frame in a standing long jump video of a target object, a body spatial position, a joint angle, a relative position parameter of a body part and a body moving velocity of the target object in the video frame; extracting key motion frames from the standing long jump video; obtaining a key motion evaluation result of the target object in a key motion frame; and determining a standing long jump pose evaluation result according to the key motion evaluation result of the target object.

The present invention relates to a target tracking method, apparatus, device, and medium. The method comprises: acquiring a first video frame and a second video frame of a long jump area at the same time, the first video frame being captured by a first camera device deployed above the long jump area, and the second video frame being captured by a second camera device deployed to the side of the long jump area; when the first video frame satisfies a first preset condition for target tracking of a test subject in the long jump area, target tracking is performed on the test subject in the acquired second video frame to obtain a tracking result corresponding to the second video frame. Thus, the present invention can promptly detect abnormal situations in a standing long jump scenario, effectively avoid ID switching, improve the real-time and robustness of analysis and processing, and enhance the user experience.

1. The name of the design product: long jump test pad. 2. The use of the design product: for training and performance measurement of standing long jump. 3. The design points of the design product: in the combination of shape and pattern. 4. The picture or photo that best indicates the design points: front view. 5. The design product is a thin product, and the left view, right view, top view and bottom view are omitted.

The utility model discloses a grain structure which comprises at least one suction cup unit, the suction cup unit can elastically deform so that negative pressure can be generated in the suction cup unit, the suction cup unit is provided with a first direction and a second direction, and limiting units are arranged at the two ends of the suction cup unit in the first direction so that the deformation quantity of the suction cup unit in the second direction can be maximized. According to the anti-skidding sole, the anti-skidding sole grains are formed by the leaf-shaped sucker grain structures, a closed space exists in each grain structure, the effect of a vacuum sucker can be generated when the sole is in contact with the ground in an extrusion mode, and a good ground gripping effect is provided by utilizing negative pressure generated by the closed spaces of the sole grains. A plurality of line structures form a structure similar to a regular hexagon in a rotary translation mode, adaptive changes can be generated according to force in different directions, the corresponding anti-skid effect is provided, the line structures are arranged in the toe area, the half sole area and the heel area, and different functions can be achieved during jumping and landing in the standing long jump process.