CN113033384A - Wheelchair curling motion state detection and target tracking system - Google Patents

Wheelchair curling motion state detection and target tracking system Download PDF

Info

Publication number
CN113033384A
CN113033384A CN202110308496.9A CN202110308496A CN113033384A CN 113033384 A CN113033384 A CN 113033384A CN 202110308496 A CN202110308496 A CN 202110308496A CN 113033384 A CN113033384 A CN 113033384A
Authority
CN
China
Prior art keywords
curling
motion state
motion
module
submodule
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110308496.9A
Other languages
Chinese (zh)
Inventor
王人成
王若宇
刘天昊
季林红
路益嘉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Tsinghua University
Original Assignee
Tsinghua University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Tsinghua University filed Critical Tsinghua University
Priority to CN202110308496.9A priority Critical patent/CN113033384A/en
Publication of CN113033384A publication Critical patent/CN113033384A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/41Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • G06V20/42Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items of sport video content
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63BAPPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B67/00Sporting games or accessories therefor, not provided for in groups A63B1/00 - A63B65/00
    • A63B67/14Curling stone; Shuffleboard; Similar sliding games
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • G06K17/0022Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/07Target detection

Abstract

The invention provides a wheelchair curling motion state detection and target tracking system, and belongs to the technical field of special sports devices. The system comprises: the device comprises a motion state detection device, an image acquisition device and a central control computer which is respectively connected with the two devices; wherein, central control computer includes: the device comprises a curling motion state resolving module, a curling motion state data display module, a curling motion state data storage module and a curling motion video image processing module; curling motion video image processing module includes: the ice kettle motion track prediction sub-module, the target tracking sub-module, the ice field reconstruction sub-module and the ice kettle motion track reproduction sub-module. The invention can effectively prevent the influence of shielding on the curling target tracking, reduce the calculation time and provide a scientific and effective training means and a rewinding method for wheelchair curling athletes and coaches in the training and competition process.

Description

Wheelchair curling motion state detection and target tracking system
Technical Field
The invention belongs to the technical field of special sports equipment, and relates to a wheelchair curling motion state detection and target tracking system.
Background
Wheelchair curling motion is a young sport that has emerged in europe and rapidly transferred to europe in the end of the 90 s 20 th century, and is rapidly gaining favor of many sports enthusiasts due to its own enjoyment and competitive nature.
The same track and the same curling stones are used for the wheelchair curling motion and the traditional curling motion, and certain rules of the wheelchair curling motion refer to the rules of the curling motion, but the wheelchair curling motion and the traditional curling motion still have obvious differences. In the movement of the wheelchair curling, an athlete must sit on a wheelchair and throw the curling by using a push rod, the length between the inner edges of two end lines of a track is 45.72 meters due to the long length of an ice field, the wheelchair curling athlete is divided into two ends of the track, and the wheelchair curling athlete cannot directly observe the movement track and the movement state of the curling on the track because the curling is far away from the athlete during the movement of the curling on the track.
In a healthy people curling match, after the curling is thrown, two curling team members can brush ice properly according to the running condition of the curling before the movement track of the curling, so that the surface appearance of the ice surface in front of the curling is changed, the friction coefficient of the ice surface is reduced, the movement time of the curling is further prolonged, and the movement distance of the curling is increased. In the process of brushing ice, a curling athlete can conveniently observe the motion state and the motion track of the curling, and adjust the power and the rotation of the curling in the next time according to the power, but the wheelchair curling athlete is inconvenient to move, so that the motion track and the motion state of the curling on an ice channel are difficult to directly observe.
The intelligent curling capable of collecting self motion parameters in real time and a method thereof are provided in CN 103157262B by Shouguang et al, but the intelligent curling is large in size, can only detect motion state data of the curling, does not provide a further processing and display module, and does not provide a scientific and effective technical and tactical analysis system for athletes; golden crystal and the like provide a curling ball motion state estimation method in CN 111709301A, but in a complex curling game or curling training, more than one curling is often arranged on a ice road, a trained curling ball target detection network cannot accurately identify a curling ball to be tracked, and the curling ball target detection network only obtains an estimation result and cannot provide accurate reference data for wheelchair curling athletes.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a wheelchair curling stone motion state detection and target tracking system. The invention can detect the key parameters of angular velocity, acceleration, speed and the like of the curling in the motion process in real time, so that wheelchair curling athletes can obtain quantitative data reference after throwing the curling each time, in addition, the system collects video images of the curling in the motion process by using a high-definition camera and transmits the video images to a central control computer for image processing, a curling target tracking module tracks the curling, a curling track prediction module can predict the motion area of the subsequent curling based on the coordinates of a continuous curling ice field and further tracks the prediction area by the target tracking module, can effectively prevent the influence of shielding on the target tracking of the curling, can further reproduce the motion track condition of the curling on the actual ice road through coordinate conversion, provides a scientific and effective training means and a re-playing method for wheelchair curling athletes and coaches in the training and competition process.
The invention provides a wheelchair curling motion state detection and target tracking system, which is characterized by comprising the following components: the device comprises a motion state detection device, an image acquisition device and a central control computer which is respectively connected with the two devices;
the motion state detection device is arranged in the center of the upper surface of the body of the selected curling and is used for acquiring motion state data of the curling in the motion process in real time, and the motion state detection device sends the acquired motion state data to the central control computer;
the image acquisition device is used for acquiring a video of curling training or competition and sending the video to the central control computer;
the central control computer is used for respectively receiving the motion state data sent by the motion state detection device and the video data sent by the image acquisition device; the central control computer calculates the motion state data to obtain the hand-out speed and the hand-out angular speed of the curling, displays and stores the hand-out speed and the hand-out angular speed, and processes the video data to obtain the reappearance result of the motion track of the curling in the actual ice field, and displays and stores the reappearance result;
wherein the central control computer comprises: the device comprises a curling motion state resolving module, a curling motion state data display module, a curling motion state data storage module and a curling motion video image processing module; the curling motion video image processing module comprises: the ice kettle motion track prediction sub-module, the target tracking sub-module, the ice field reconstruction sub-module and the ice kettle motion track reproduction sub-module; the input end of the curling motion state resolving module is connected with the output end of the curling motion state detection device, and the output end of the curling motion state resolving module is respectively connected with the input end of the curling motion state data storage module and the input end of the curling motion video image processing module; the input end of a curling motion track prediction submodule and the input end of an ice field reconstruction submodule in the curling motion video image processing module are respectively connected with the output end of the image acquisition device, the output end of the curling motion track prediction submodule is connected with the input end of a target tracking submodule, and the output end of the target tracking submodule and the output end of the ice field reconstruction submodule are respectively connected with the input end of the curling motion track reproduction submodule.
The invention has the characteristics and beneficial effects that:
because the development history of the wheelchair curling in China is short, and the training means of wheelchair curling athletes and coaches are deficient, the invention provides a motion state detection and target tracking system of the wheelchair curling, which can detect key parameters such as angular velocity, acceleration, speed and the like of the curling in the motion process in real time, so that the wheelchair curling athletes can obtain quantitative data reference after putting the curling, in addition, the system collects video images of the curling in the motion process by using a high-definition camera and transmits the video images to a central control computer for image processing, a curling motion track prediction submodule can determine the approximate area of the curling motion, and then the target tracking submodule is used for tracking the target area, thereby effectively preventing the influence of shielding on curling target tracking, reducing the calculation time of the computer, and further obtaining the motion track condition of the curling on an actual ice field through coordinate conversion, provides a scientific and effective training means and a re-playing method for wheelchair curling athletes and coaches in the training and competition process.
Drawings
Fig. 1 is a schematic structural diagram of a wheelchair curling motion state detection and target tracking system according to an embodiment of the invention.
Fig. 2 is a schematic view of the movement state detection device of the curling in the embodiment of the invention.
Detailed Description
The invention provides a wheelchair curling motion state detection and target tracking system, which is further described in detail in the following by combining the accompanying drawings and specific embodiments. In the following description, numerous details are set forth to provide a thorough explanation of the development and specific parameters of the invention, but it will be apparent that the invention need not be developed in the exact detail description and that simple structural substitutions and modifications of some of the details can still achieve the same object and therefore fall within the scope of the invention.
The wheelchair curling motion state detection and target tracking system of the embodiment of the invention is structurally shown as figure 1 and comprises: the device comprises a motion state detection device, an image acquisition device and a central control computer. The motion detection device is wirelessly connected with the central control computer, and the image acquisition device is connected with the central control computer through a wire;
the motion state detection device is arranged in the center of the upper surface of the body of the selected curling and is used for collecting motion state data in the motion process of the curling in real time during training, the motion state data comprise the acceleration, the angular velocity and the angle of the curling at each moment during motion, and the motion state detection device transmits the collected motion state data to the central control computer in a wireless transmission mode;
the image acquisition device is used for acquiring video images of curling motion in the process of wheelchair curling competition or training and transmitting the video images to the central control computer;
the central control computer is used for respectively receiving the motion state data sent by the motion state detection device and the video image data sent by the image acquisition device; the central control computer obtains the hand-out speed and the hand-out angular speed of the curling through resolving the motion state data, displays and stores the hand-out speed and the hand-out angular speed, and the central control computer obtains the reappearance result of the motion track of the curling in the actual ice rink through processing the video image data, displays and stores the reappearance result.
The system comprises the following components in an implementation mode:
the motion state detection device has the following specific implementation mode: the device includes: the three-axis gyroscope, the three-axis accelerometer, the attitude calculation module, the signal differential amplification circuit, the filter circuit, the data transmission module and the power supply module are integrated on the chip module; the system comprises a three-axis gyroscope, a three-axis accelerometer, a signal differential amplifying circuit, a filter circuit, an attitude calculation module, a data transmission module and a central control computer, wherein the three-axis gyroscope and the three-axis accelerometer are connected with the input end of the attitude calculation module sequentially through the signal differential amplifying circuit and the filter circuit and are used for transmitting analog signals of three-axis angular velocity and three-axis acceleration of a curling to the attitude calculation module through digital filtering and dynamic Kalman filtering, and the attitude calculation module converts the received filtered analog signals into digital signals containing information such as time, space angle and acceleration (specifically, a pitch angle, a roll angle and a yaw angle are calculated according to quaternion or other conventional algorithms by using data such as the filtered three-axis gyroscope and the filtered three-axis accelerometer) and transmits; the data transmission module is welded with the chip module through a serial port, the data transmission module can be a wireless data transmission module (such as 433MHz, Bluetooth or Zigbee wireless module), and the Bluetooth wireless module is adopted for wireless transmission in the embodiment; the power module is used for supplying power to other devices in the motion state detection device, and can adopt a 3.3V/5V power supply, wherein the anode of the power supply is connected with the VCC port of the device through a lead, and the cathode of the power supply is connected with the GND port of the device through a lead. Furthermore, the motion state detection device also comprises a three-axis magnetometer arranged on the chip module, and the three-axis magnetometer is connected with the input end of the signal differential amplification circuit and used for eliminating the drift error of the three-axis accelerometer. In addition, the three-axis accelerometer, the three-axis gyroscope, the three-axis magnetometer, the signal differential amplification circuit, the filter circuit and the attitude calculation module can be replaced by a six-axis motion sensor or a nine-axis motion sensor, so that the overall size of the motion parameter measurement unit can be further reduced; in this embodiment, a six-axis motion sensor of the type MPU6050 is used. (patent application No.: 201910490859.8). Further, the time of the hand-out stage of the curling is short, so that the three-axis gyroscope and the three-axis accelerometer of the curling motion state detection device have high sampling speed requirements, and generally, the sampling speed is not lower than 100 Hz.
The motion state detection device is subjected to flattening packaging and is mounted at the center of the upper surface of the curling kettle body in a bonding mode and the like, and the flattening packaging aims to prevent a push rod of a wheelchair curling kettle athlete from interfering with the curling kettle motion state detection device in the kettle pushing process so as to influence the kettle throwing effect. Fig. 2 shows an installation schematic diagram of the curling motion state detection device of the embodiment, when the motion state detection device 3 is installed, the motion state detection device 3 is packaged in a flattened manner, and then the motion state detection device 3 is installed at the center of the curling stone pot body 4 in a bonding manner. In this embodiment, the minimum distance between the motion state detection device 3 and the push rod head 1 and between the motion state detection device and the curling kettle handle 2 is not less than 10mm, so that the push rod of the wheelchair curling kettle athlete can be ensured not to interfere with the curling kettle motion state detection device in the kettle pushing process.
The image acquisition device can adopt a high-definition camera, can be erected at any end of the ice rink, can be used as a starting point or a terminal point of the ice rink, or can be erected at an auditorium of the ice rink, so that the shooting angle is higher, the whole ice rink can be shot, more shelters can be avoided in the movement process of the curling as far as possible, and a satisfactory curling tracking effect can be obtained. When the camera is used, auxiliary shooting devices such as a tripod and the like can be utilized, and the tripod can be used for adjusting the shooting height and the shooting angle of the camera; and the shot video image is sent to a central control computer through a wired transmission cable. In this embodiment, the model of the high-definition video camera is a sony interchangeable lens digital camera ILCE-7M2, and the shooting frame rate is 50 frames per second.
The central control computer can be the host computer of arbitrary model, the central control computer includes: the device comprises a curling motion state resolving module, a curling motion state data display module, a curling motion state data storage module and a curling motion video image processing module; wherein curling motion video image processing module includes: the ice kettle motion track prediction sub-module, the target tracking sub-module, the ice field reconstruction sub-module and the ice kettle motion track reproduction sub-module; the input end of the curling motion state resolving module is connected with the output end of the curling motion state detection device, and the output end of the curling motion state resolving module is respectively connected with the input end of the curling motion state data storage module and the input end of the curling motion video image processing module; the input end of a curling motion track prediction submodule and the input end of an ice field reconstruction submodule in the curling motion video image processing module are respectively connected with the output end of the image acquisition device, the output end of the curling motion track prediction submodule is connected with the input end of a target tracking submodule, and the output end of the target tracking submodule and the output end of the ice field reconstruction submodule are respectively connected with the input end of the curling motion track reproduction submodule.
Wherein, the curling motion state resolving module is used for receiving the motion state data that motion state detection device sent, utilizes this state data, the time stamp that mark curling angular velocity corresponds from the zero beginning grow, be the curling out the initial time stamp of hand stage promptly, the time stamp that mark curling angular velocity maximum value corresponds, be curling out the end time stamp of hand stage promptly, the motion state data of curling in intercepting these two time stamps, carry out the integral to the curling acceleration in this period of time, can obtain curling out the speed of hand. Acquiring angular velocity data of an initial timestamp of the curling hand-out stage to obtain curling hand-out angular velocity, and then respectively sending the calculated curling hand-out velocity and hand-out angular velocity to a curling motion state data display module and a curling motion state data storage module;
the curling motion state data display module is used for displaying received curling hand-out acceleration and hand-out angular velocity data, so that a coach and a wheelchair curling player can conveniently and visually acquire the thrown hand-out data in time; the curling motion state data storage module stores the received curling hand-out acceleration and hand-out angular velocity data into a database, so that a coach and a wheelchair curling athlete can call a reply disc for analysis after competition or training in time;
the curling motion track prediction submodule and the ice field reconstruction submodule respectively acquire a curling motion video image from the image acquisition device; the curling motion track prediction submodule can process a curling motion video to obtain an approximate area of curling motion and send a processed video image to the target tracking submodule; the ice rind motion trail reconstruction sub-module reconstructs an ice rind image in the video image to a coordinate conversion matrix between an ice rind pixel point coordinate and an actual ice rind position and sends the coordinate conversion matrix to the ice rind motion trail reconstruction sub-module, and the ice rind motion trail reconstruction sub-module obtains the motion position change condition of the ice rind in the actual ice rind according to the received ice rind pixel point motion trail and the coordinate conversion matrix, so that the ice rind motion trail can be reconstructed.
The system working method comprises the following steps:
the wheelchair curling player pushes out a curling provided with a curling motion state detection device on an ice rind by using a curling push rod, the curling motion state detection device collects motion state data of the curling in real time and transmits the motion state data back to the central control computer in real time, the image collection device collects movement video images of the curling at the same time, and the video images are transmitted back to the central control computer in a wired connection mode;
the central control computer transmits the curling motion state data obtained through feedback to the curling motion state calculating module, and the curling hand-out angular speed and the curling hand-out speed are obtained through calculation;
the curling motion state resolving module transmits the calculated curling hand-out angular speed and hand-out speed into a curling motion state data display module and a curling motion state data storage module, the curling state data display module displays the curling hand-out angular speed and hand-out speed in real time, and the curling motion state data storage module stores the curling motion state data of the wheelchair curling athlete in a corresponding database;
the central control computer transmits the curling motion video image obtained by feedback into a curling motion video image processing module, and the curling motion video image processing module comprises: the ice kettle motion track prediction sub-module, the target tracking sub-module, the ice field reconstruction sub-module and the ice kettle motion track reproduction sub-module;
the curling motion track prediction submodule can determine the approximate area and range of the curling in the ice field in the video image, and assists the target tracking submodule in tracking the movement of the curling so as to obtain the actual motion track of the curling. The operating principle of the curling motion track prediction submodule is interframe difference, and the principle of interframe difference is as follows: when moving objects exist in the video, the adjacent frames have difference in gray level, and the absolute value of the gray level difference of the two frames of images is obtained, so that the static objects are all 0 on the difference image, and the moving objects, particularly the outlines of the moving objects, are changed into non-0 due to the gray level, and when the absolute value exceeds a certain threshold value, the moving objects can be judged to be moving objects, so that the detection function of the objects is realized. The mathematical formula is described as follows:
Figure BDA0002988845570000061
where D (x, y) is a difference image between two consecutive frames of images, I (T) and I (T-1) are images at time T and T-1, respectively, T is a threshold for difference, which may be selected as appropriate, and D (x, y) ═ 1 represents a foreground, and D (x, y) ═ 0 represents a background.
The target tracking submodule tracks a target curling in the processed video image received from the curling motion track prediction submodule to obtain a curling pixel point motion track consisting of coordinates of pixel points at the center position of the curling in each frame of image and sends the curling pixel point motion track to the curling motion track reproduction submodule, and the curling reconstruction submodule reconstructs a curling image in the video image to obtain a coordinate conversion matrix between the curling pixel point coordinates and the actual curling position and sends the coordinate conversion matrix to the curling motion track reproduction submodule; the curling motion track reproduction submodule obtains the motion position change condition of the curling in the actual ice field according to the received curling pixel point motion track and the coordinate conversion matrix, and then can realize reproduction of the curling motion track.

Claims (4)

1. A wheelchair curling motion state detection and target tracking system, comprising: the device comprises a motion state detection device, an image acquisition device and a central control computer which is respectively connected with the two devices;
the motion state detection device is arranged in the center of the upper surface of the body of the selected curling and is used for acquiring motion state data of the curling in the motion process in real time, and the motion state detection device sends the acquired motion state data to the central control computer;
the image acquisition device is used for acquiring a video of curling training or competition and sending the video to the central control computer;
the central control computer is used for respectively receiving the motion state data sent by the motion state detection device and the video data sent by the image acquisition device; the central control computer calculates the motion state data to obtain the hand-out speed and the hand-out angular speed of the curling, displays and stores the hand-out speed and the hand-out angular speed, and processes the video data to obtain the reappearance result of the motion track of the curling in the actual ice field, and displays and stores the reappearance result;
wherein the central control computer comprises: the device comprises a curling motion state resolving module, a curling motion state data display module, a curling motion state data storage module and a curling motion video image processing module; the curling motion video image processing module comprises: the ice kettle motion track prediction sub-module, the target tracking sub-module, the ice field reconstruction sub-module and the ice kettle motion track reproduction sub-module; the input end of the curling motion state resolving module is connected with the output end of the curling motion state detection device, and the output end of the curling motion state resolving module is respectively connected with the input end of the curling motion state data storage module and the input end of the curling motion video image processing module; the input end of a curling motion track prediction submodule and the input end of an ice field reconstruction submodule in the curling motion video image processing module are respectively connected with the output end of the image acquisition device, the output end of the curling motion track prediction submodule is connected with the input end of a target tracking submodule, and the output end of the target tracking submodule and the output end of the ice field reconstruction submodule are respectively connected with the input end of the curling motion track reproduction submodule.
2. The system of claim 1, wherein the motion state detection device comprises: the three-axis gyroscope, the three-axis accelerometer, the attitude calculation module, the signal differential amplification circuit, the filter circuit, the data transmission module and the power supply module are integrated on the chip module; the three-axis gyroscope and the three-axis accelerometer are connected with the input end of the attitude resolving module sequentially through the signal differential amplifying circuit and the filter circuit.
3. The system of claim 1, wherein the curling motion state resolving module is configured to receive motion state data sent by the motion state detecting device, and use the motion state data to mark a time stamp corresponding to the increase of the curling angular velocity from zero as an initial time stamp of a curling hand-out stage, mark a time stamp corresponding to the maximum value of the curling angular velocity as an end time stamp of the curling hand-out stage, intercept motion state data of the curling in the two time stamps, and integrate the curling acceleration in the period of time to obtain the curling hand-out velocity; acquiring angular speed data of an initial timestamp of the hand-out stage of the curling to obtain the hand-out angular speed of the curling; then the hand-out speed and the hand-out angular speed of the curling are respectively sent to a curling motion state data display module and a curling motion state data storage module;
the curling motion state data display module is used for displaying received curling hand-out acceleration and hand-out angular velocity data; the curling motion state data storage module is used for storing received curling hand-out acceleration and hand-out angular velocity data;
the curling motion track prediction submodule and the ice field reconstruction submodule respectively acquire a curling motion video image from the image acquisition device; the curling motion track prediction submodule processes the video image to obtain an approximate area of curling motion and sends the processed video image to the target tracking submodule; the target tracking submodule tracks a target curling in the received video image to obtain a curling pixel point motion trail formed by coordinates of pixel points at the center position of the curling in each frame of image and sends the curling pixel point motion trail to the curling motion trail recurrence submodule; the ice rink reconstruction submodule reconstructs an ice rink image in the video image to a coordinate conversion matrix between an ice rink pixel point coordinate and an actual ice rink position and sends the coordinate conversion matrix to the curling motion track reproduction submodule; and the curling motion track reproduction submodule obtains the motion position change condition of the curling in the actual ice field according to the received curling pixel point motion track and the coordinate conversion matrix, and realizes the reproduction of the curling motion track.
4. The system of claim 2, wherein the chip module of the motion state detection device further integrates a three-axis magnetometer connected to the input terminal of the signal differential amplifier circuit for eliminating the drift error of the three-axis accelerometer.
CN202110308496.9A 2021-03-23 2021-03-23 Wheelchair curling motion state detection and target tracking system Pending CN113033384A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110308496.9A CN113033384A (en) 2021-03-23 2021-03-23 Wheelchair curling motion state detection and target tracking system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110308496.9A CN113033384A (en) 2021-03-23 2021-03-23 Wheelchair curling motion state detection and target tracking system

Publications (1)

Publication Number Publication Date
CN113033384A true CN113033384A (en) 2021-06-25

Family

ID=76472864

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110308496.9A Pending CN113033384A (en) 2021-03-23 2021-03-23 Wheelchair curling motion state detection and target tracking system

Country Status (1)

Country Link
CN (1) CN113033384A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113521699A (en) * 2021-07-19 2021-10-22 哈尔滨体育学院 Ice and snow motion auxiliary device
CN113633946A (en) * 2021-08-18 2021-11-12 南昌工学院 Method and system for calculating motion state of land curling

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105080111A (en) * 2014-05-14 2015-11-25 阿迪达斯股份公司 Sport ball motion monitoring methods and systems
JP2016099941A (en) * 2014-11-26 2016-05-30 日本放送協会 System and program for estimating position of object
CN106890437A (en) * 2015-11-04 2017-06-27 精工爱普生株式会社 Electronic equipment, system, method, program and recording medium
CN107106899A (en) * 2015-01-13 2017-08-29 精工爱普生株式会社 Motion analyzing apparatus, method of motion analysis, program, recording medium and motion analysis system
CN110354470A (en) * 2019-06-06 2019-10-22 清华大学 A kind of Wheelchair Curling push rod of detectable advance and rotation speed
CN110929596A (en) * 2019-11-07 2020-03-27 河海大学 Shooting training system and method based on smart phone and artificial intelligence
CN111932579A (en) * 2020-08-12 2020-11-13 广东技术师范大学 Method and device for adjusting equipment angle based on motion trail of tracked target
CN112507859A (en) * 2020-12-05 2021-03-16 西北工业大学 Visual tracking method for mobile robot
CN112508998A (en) * 2020-11-11 2021-03-16 北京工业大学 Visual target alignment method based on global motion

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105080111A (en) * 2014-05-14 2015-11-25 阿迪达斯股份公司 Sport ball motion monitoring methods and systems
JP2016099941A (en) * 2014-11-26 2016-05-30 日本放送協会 System and program for estimating position of object
CN107106899A (en) * 2015-01-13 2017-08-29 精工爱普生株式会社 Motion analyzing apparatus, method of motion analysis, program, recording medium and motion analysis system
CN106890437A (en) * 2015-11-04 2017-06-27 精工爱普生株式会社 Electronic equipment, system, method, program and recording medium
CN110354470A (en) * 2019-06-06 2019-10-22 清华大学 A kind of Wheelchair Curling push rod of detectable advance and rotation speed
CN110929596A (en) * 2019-11-07 2020-03-27 河海大学 Shooting training system and method based on smart phone and artificial intelligence
CN111932579A (en) * 2020-08-12 2020-11-13 广东技术师范大学 Method and device for adjusting equipment angle based on motion trail of tracked target
CN112508998A (en) * 2020-11-11 2021-03-16 北京工业大学 Visual target alignment method based on global motion
CN112507859A (en) * 2020-12-05 2021-03-16 西北工业大学 Visual tracking method for mobile robot

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
冯莹莹等: "基于智能视频监控系统的运动目标检测和跟踪研究", 《赤峰学院学报(自然科学版)》 *
郝丽娜主编, 华中科技大学出版社 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113521699A (en) * 2021-07-19 2021-10-22 哈尔滨体育学院 Ice and snow motion auxiliary device
CN113521699B (en) * 2021-07-19 2022-05-24 哈尔滨体育学院 Ice and snow motion auxiliary device
CN113633946A (en) * 2021-08-18 2021-11-12 南昌工学院 Method and system for calculating motion state of land curling

Similar Documents

Publication Publication Date Title
US5823878A (en) Golf swing analysis apparatus and method
US11348255B2 (en) Techniques for object tracking
US10241205B2 (en) Tracking system
US8477046B2 (en) Sports telemetry system for collecting performance metrics and data
CN113058246A (en) Wheelchair curling track identification, positioning, tracking and motion state detection system
CN108028902B (en) Integrated sensor and video motion analysis method
AU2008202170B2 (en) Improved Sports Sensor
CN100445748C (en) Definition of dynamic movement parameters of a material object during sports competitions or training
US8409024B2 (en) Trajectory detection and feedback system for golf
CN113033384A (en) Wheelchair curling motion state detection and target tracking system
CN105911540B (en) Wireless positioning system and exercise training system
CN108156450A (en) For the method for calibration camera, calibrator (-ter) unit, calibration system and machine readable storage medium
CN110221691B (en) Immersive virtual experience method, system and device
Meyer et al. Aerodynamic drag modeling of alpine skiers performing giant slalom turns
US11850498B2 (en) Kinematic analysis of user form
CN109961039B (en) Personal goal video capturing method and system
CN111208545A (en) Motion trail recording method and system
CN107404626A (en) A kind of video living transmission system based on robot
CN215609181U (en) Football trajectory real-time monitoring system
Swarén et al. Usage and validation of a tracking system to monitor position and velocity during cross-country skiing
CN206934687U (en) Multifunction wireless wearable device and swimming field management system for swimmer
CN115624735A (en) Auxiliary training system for ball games and working method
CN111488861A (en) Ski athlete gesture recognition system based on multi-feature value fusion
CN205268972U (en) Discus
Supej A step forward in 3D measurements in alpine skiing: a combination of an inertial suit and DGPS technology

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20210625

WD01 Invention patent application deemed withdrawn after publication