TWI878032B - Agility analyzing system and agility analyzing method - Google Patents

Abstract

An agility analyzing system is proposed. The agility analyzing system includes a user interface, a sensor, an mmWave detecting unit, a database and a processor. The user interface is for a user to input a detecting coordinate information. The sensor is configured to the user, and is for detecting a moving state of the user. The mmWave detecting unit detects the sensor to generate a detecting information. The database is signally connected to the mmWave detecting unit, and is configured to access the detecting information. The detecting information includes a coordinate information, a speed information, an acceleration information and a time information. The processor is signally connected to the user interface and the database, and analyzes an agility information of the user according to the detecting information and the detecting coordinate information. Thus, the agility analyzing system can measure and analyze the high accuracy agility via single type sensor.

Description

Agility analysis system and agility analysis method

The present invention relates to an agility analysis system and an agility analysis method, and in particular to an agility analysis system and an agility analysis method in a motion state.

Whether athletes are moving sideways, diagonally, or forward or backward on the sports field, they must ensure that they can reach the correct position in the shortest possible time. Therefore, athletes must also be evaluated for their sports agility during training. Existing agility assessments use a variety of sensors and cameras for motion capture and image recognition, and use a composite sensing mode to assess athletes' agility. However, high-precision motion detection places more stringent demands on algorithms, and assessment systems using composite sensing modes are expensive. Furthermore, image capture technology that uses cameras to detect athletes may be limited by the environment of the sports field and is difficult to set up and capture images.

In view of this, the development of an agility analysis system and agility analysis method that can perform high-precision calculations through a single type of sensor has become the research and development goal of relevant industries.

Therefore, the purpose of the present invention is to provide an agility analysis system and an agility analysis method, which detect the user's movement state through a millimeter wave detection unit and then analyze the agility information. Thus, the agility analysis system and agility analysis method of the present invention perform high-precision agility measurement and analysis with a single type of sensor.

According to one embodiment of the system aspect of the present invention, an agility analysis system is provided, comprising a user interface, a sensor, a millimeter wave detection unit, a database and a processor. The user interface allows a user to input at least one detection coordinate information. The sensor is disposed on the user and is used to sense a movement state of the user. The millimeter wave detection unit signal is connected to the sensor, and detects the sensor to generate a sensing information. The database signal is connected to the millimeter wave detection unit and is used to access the sensing information. The sensing information includes a coordinate information, a speed information, an acceleration information and a time information. The processor signal is connected to the user interface and the database, the processor receives the sensing information from the database, and analyzes the user's agility information based on the sensing information and at least one detection coordinate information.

Other embodiments of the aforementioned implementation are as follows: the aforementioned millimeter wave detection unit may be a millimeter wave radar, and a data format of the sensing information is a TLV (Type Length Value) format.

Other embodiments of the aforementioned implementation are as follows: the aforementioned user interface further allows the user to input a plurality of detection sub-coordinate information. The processor generates a plurality of segmented agility information according to the detection sub-coordinate information, at least one detection coordinate information and the sensing information.

Other embodiments of the aforementioned implementation are as follows: The aforementioned processor can analyze a visual analysis information according to the sensing information and at least one detection coordinate information. The visual analysis information includes a real-time location information of the user.

Other embodiments of the aforementioned implementation are as follows: the aforementioned user interface may further allow the user to input a detection range, and the sensing information is generated by the millimeter wave detection unit when the user is located in the detection range.

According to one embodiment of the method of the present invention, an agility analysis method is provided, comprising inputting at least one detection coordinate information through a user interface. A sensor disposed on the user senses a movement state of the user. A millimeter wave detection unit detects the sensor to generate sensing information. The sensing information is accessed through a database, wherein the sensing information includes a coordinate information, a speed information, an acceleration information, and a time information. A processor receives the sensing information from the database, and analyzes the user's agility information based on the sensing information and at least one detection coordinate information.

Other embodiments of the aforementioned implementation are as follows: the aforementioned millimeter wave detection unit may be a millimeter wave radar, and a data format of the sensing information may be a TLV format.

Other embodiments of the aforementioned implementation are as follows: The aforementioned agility analysis method may further include inputting a plurality of detection sub-coordinate information through a user interface, and generating a plurality of segmented agility information according to the detection sub-coordinate information, at least one detection coordinate information, and the sensing information by a processor.

Other embodiments of the aforementioned implementation are as follows: The aforementioned agility analysis method may further include analyzing a visual analysis information according to the sensing information and at least one detection coordinate information by a processor, wherein the visual analysis information includes a real-time location information of the user.

Other embodiments of the aforementioned implementation are as follows: The aforementioned agility analysis method may further include inputting a detection range through a user interface, wherein the sensing information is generated by the millimeter wave detection unit when the user is located in the detection range.

The following will describe several embodiments of the present invention with reference to the drawings. For the sake of clarity, many practical details will be described together in the following description. However, it should be understood that these practical details should not be used to limit the present invention. That is to say, in some embodiments of the present invention, these practical details are not necessary. In addition, in order to simplify the drawings, some commonly known structures and components will be depicted in the drawings in a simple schematic manner; and repeated components may be represented by the same number.

In addition, in this article, when a certain component (or unit or module, etc.) is "connected" to another component, it may refer to that the component is directly connected to the other component, or it may refer to that the component is indirectly connected to the other component, that is, there are other components between the component and the other component. When it is clearly stated that a certain component is "directly connected" to another component, it means that there are no other components between the component and the other component. The terms first, second, third, etc. are only used to describe different components, and there is no restriction on the components themselves. Therefore, the first component can also be renamed as the second component. Moreover, the combination of components/units/circuits in this article is not a generally known, conventional or familiar combination in this field. Whether the components/units/circuits themselves are known cannot be used to determine whether their combination relationship is easy to be completed by ordinary knowledge in the technical field.

Please refer to Figure 1, which is a block diagram of an agility analysis system 100 of the first embodiment of the present invention. The agility analysis system 100 includes a user interface 110, a sensor 120, a millimeter wave detection unit 130, a database 140, and a processor 150. The user interface 110 allows a user to input at least one detection coordinate information D3. The sensor 120 is disposed on the user and is used to sense a movement state of the user. The millimeter wave detection unit 130 is signal-connected to the sensor 120, and detects the sensor 120 to generate a sensing information D1. The database 140 is signal-connected to the millimeter wave detection unit 130, and is used to access the sensing information D1. The sensing information D1 includes coordinate information, speed information, acceleration information and time information. The processor 150 is signal-connected to the user interface 110 and the database 140. The processor 150 receives the sensing information D1 from the database 140 and analyzes the user's agility information D2 according to the sensing information D1 and at least one detection coordinate information D3.

Specifically, before the user performs agility analysis, he/she inputs the detection coordinate information D3 corresponding to the position point of the sports field to be detected through the user interface 110. The millimeter wave detection unit 130 detects the movement state of the sensor 120 worn on the user when the user is exercising, and receives high-precision distance information, speed information and angle information at an extremely high rate. The database 140 accesses the sensing information D1 from the millimeter wave detection unit 130, and the processor 150 obtains the sensing information D1 from the database 140, compares the coordinate information in the sensing information D1 and its corresponding time information with the detection coordinate information D3, and then calculates the user's agility information D2. The sensing information D1 can be shown in Table 1. The agility information D2 may include the speed and acceleration of the user when performing specific actions and displacements, but the present invention is not limited thereto. time Coordinate value (X axis) Coordinate value (Y axis) Speed (X axis) Speed (Y axis) Acceleration (X axis) Acceleration (Y axis) 0.05 -0.68 2.42 -0.38 -0.55 14.39 3.40 0.1 -0.59 2.42 1.95 -0.13 -46.83 -8.41 0.15 -0.50 2.42 1.77 -0.02 3.52 -2.32 0.2 -0.44 2.44 1.22 0.41 11.03 -8.61 0.25 -0.50 2.44 -1.21 0.01 48.76 7.85 0.3 -0.56 2.41 -1.36 -0.52 3.00 10.76 0.35 -0.63 2.40 -1.26 -0.14 -1.87 -7.54

Specifically, the millimeter wave detection unit 130 can be a millimeter wave radar; the database 140 can be a memory or other data storage element; the processor 150 can be a computer, a server, a handheld device, a microprocessor, a central processing unit (CPU) or other electronic computing processor, and a data format of the sensing information D1 can be a TLV format, but the present invention is not limited to this. The sensing information D1 is in the form of point cloud data, which is stored in TLV format according to the data type and length. The packet format of the point cloud data includes range, azimuth, Doppler velocity (Elevation Doppler) and signal-to-noise ratio (SNR). The millimeter wave detection unit 130 groups the point cloud data in the sensing information D1 according to the user's body parts, thereby tracking the user in the sports field. In this way, the agility analysis system 100 of the present invention can perform high-precision agility measurement and analysis through a single type of sensing unit.

Please refer to FIG. 1 and FIG. 2 , FIG. 2 is a schematic diagram of a user interface 110 of the agility analysis system 100 according to FIG. The user interface 110 can further allow the user to input a detection range R, and the sensing information D1 is generated by the millimeter wave detection unit 130 when the user is located in the detection range R. In Figure 2, the user interface 110 allows the user to select the millimeter wave detection unit 130 to which the processor 150 is to be connected, "COM Ports" allows the user to select the connection port, where "UART" represents the connection port of the millimeter wave detection unit 130, and "DATA" represents the connection port for data transmission of the millimeter wave detection unit 130. "Select cfg file" allows the user to select the file of the sensing information D1 stored in the millimeter wave detection unit 130, "Detection range" allows the user to set the maximum range boundary required for the millimeter wave detection unit 130 to detect, and "Detection point coordinates" allows the user to input the detection coordinate information D3 to be detected. Thus, the agility analysis system 100 of the present invention allows the user to set the detection coordinate information D3 required for detection according to the sports environment and the sports type through the user interface 110, so as to accurately analyze the agility according to the sports type.

In other embodiments of the present invention, the user may also manually operate the start time and the end time of the detection through the user interface 110, but the present invention is not limited thereto.

Please refer to FIG. 1 to FIG. 3 , FIG. 3 is a schematic diagram showing the visualized analysis information D4 of the agility analysis system 100 according to FIG. 1 . The processor 150 can analyze the visualized analysis information D4 according to the sensing information D1 and the detection coordinate information D3. The visualized analysis information D4 includes a real-time position information D5 of the user, the detection coordinate information D3 and the detection range R. Furthermore, the user interface 110 can further allow the user to input a plurality of detection sub-coordinate information (not shown in the figure), and the processor 150 generates a plurality of segmented agility information (not shown in the figure) according to the detection sub-coordinate information, at least one detection coordinate information D3 and the sensing information D1; that is, the agility information D2 can be regarded as being split into a plurality of segmented agility information. The segmented agility information can be shown in Table 2. In Figure 3, the length and width of the detection range R in the visual analysis information D4 are proportional to the actual detection area of the sports field, and the coordinate axis and detection points P1~P9 are used to illustrate their relative position relationship in the sports field, but the present invention is not limited to this. For example, when the user moves from detection point P1 to detection point P9 in sequence, and passes through detection points P2, P3, P4, P5, P6, P7, and P8 in sequence, the coordinates of detection points P1 and P9 correspond to the detection coordinate information D3 input by the user, and the coordinates of detection points P2~P3 correspond to the detection sub-coordinate information input by the user. From detection point P1 to detection point P2 may be the first segment, from detection point P2 to detection point P3 may be the second segment, from detection point P3 to detection point P4 may be the third segment, and so on, which will not be repeated. The processor 150 may compare the detection coordinate information D3 and detection sub-coordinate information corresponding to these detection points P1~P9 with the sensing information D1, and split the agility information D2 to calculate the segmented agility information of the user between detection points P1~P9. The agility information D2 of the user moving from detection point P1 to detection point P4 may be shown in Table 2. Table 2 user date Number of segments time speed Acceleration 1005 40623 1 2.8 0.003443 0.08267 1005 40623 2 2.45 0.009256 0.05561 1005 40623 3 2.7 0.010422 0.05561

Thus, the agility analysis system 100 of the present invention sets multiple detection points P1-P9 to be detected through the user interface 110, thereby eliminating the hardware cost and maintenance process of building multiple sets of physical detectors, and reducing the time error generated when manually calculating the segment speed according to the stopwatch.

Please refer to FIG. 1, FIG. 2 and FIG. 4, FIG. 4 is another schematic diagram showing the visualized analysis information D4 of the agility analysis system 100 according to FIG. 1. In FIG. 4, the detection coordinate information D3 and the detection sub-coordinate information input by the user through the user interface 110 are displayed in the visualized analysis information D4 and correspond to the detection points P1 to P6. While the sensor 120 is sensing the user's movement status, the user performs a return movement between the starting point S and the detection points P1~P6, and the millimeter wave detection unit 130 generates the sensing information D1 and sends it to the database 140. The processor 150 obtains the sensing information D1 from the database 140, and analyzes 12 segmented agility information from the sensing information D1 according to the detection coordinate information D3 and the detection sub-coordinate information corresponding to the detection points P1~P6 and the starting point S.

Please refer to Figure 1 and Figure 5, Figure 5 is a flow chart of the agility analysis method S10 of the second embodiment of the present invention. The agility analysis method S10 includes steps S01, S02, S03, S04, and S05, and the agility analysis method S10 can be executed through the agility analysis system 100 of Figure 1. Step S01 is to input the detection coordinate information D3 through the user interface 110. Step S02 is to sense the user's movement state through the sensor 120 configured on the user. Step S03 is to detect the sensor 120 through the millimeter wave detection unit 130 to generate the sensing information D1. Step S04 is to access the sensing information D1 through the database 140. The sensing information D1 includes coordinate information, speed information, acceleration information and time information. In step S05, the processor 150 receives the sensing information D1 from the database 140, and analyzes the user's agility information D2 according to the sensing information D1 and the detection coordinate information D3. In this way, the agility analysis method S10 of the present invention can record the sensing information D1 when the athlete performs different action training, and analyze and record the athlete's agility information D2 according to the sensing information D1.

It can be seen from the above implementation that the agility analysis system and agility analysis method of the present invention have the following advantages. First, high-precision agility measurement and analysis can be performed through a single type of sensing unit; second, the user can set the detection coordinate information required for detection according to the sports environment and the type of sports through the user interface to accurately analyze the agility according to the type of sports; third, by setting multiple detection points to be detected through the user interface, the hardware cost and maintenance process of building multiple sets of physical detectors are saved, and at the same time, the time error caused by manually calculating the segment speed according to the stopwatch is reduced; fourth, the sensing information of the athlete when performing different action training can be recorded, and the athlete's agility information can be analyzed and recorded based on the sensing information.

Although the present invention has been disclosed in the above embodiments, it is not intended to limit the present invention. Anyone skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the scope defined in the attached patent application.

100: Agility analysis system 110: User interface 120: Sensor 130: Millimeter wave detection unit 140: Database 150: Processor D1: Sensing information D2: Agility information D3: Detection coordinate information D4: Visualization analysis information D5: Real-time location information P1, P2, P3, P4, P5, P6, P7, P8, P9: Detection point R: Detection range S: Starting point S01, S02, S03, S04, S05: Steps S10: Agility analysis method

FIG. 1 is a block diagram of the agility analysis system of the first embodiment of the present invention; FIG. 2 is a diagram of the user interface of the agility analysis system according to FIG. 1; FIG. 3 is a diagram of visualized analysis information of the agility analysis system according to FIG. 1; FIG. 4 is another diagram of visualized analysis information of the agility analysis system according to FIG. 1; and FIG. 5 is a flow chart of the agility analysis method of the second embodiment of the present invention.

100: Agility analysis system

110: User Interface

120:Sensor

130: Millimeter wave detection unit

140: Database

150: Processor

D1: Sensing information

D2: Agility information

D3: Detection coordinate information

Claims (8)

An agility analysis system includes: a user interface for a user to input at least one detection coordinate information; a sensor, disposed on the user and used to sense a movement state of the user; a millimeter wave detection unit, signal-connected to the sensor, and detecting the sensor to generate a sensing information; a database, signal-connected to the millimeter wave detection unit, and used to access the sensing information, wherein the sensing information includes a coordinate information, a speed information, an acceleration information, and a time information; and a processor, signal-connected to the user interface and the database, the processor receives the sensing information from the database, and analyzes the user's agility information based on the sensing information and the at least one detection coordinate information; The user interface further allows the user to input multiple detection sub-coordinate information, and the processor generates multiple segmented agility information based on the detection sub-coordinate information, the at least one detection coordinate information, and the sensing information. An agility analysis system as described in claim 1, wherein the millimeter wave detection unit is a millimeter wave radar, and a data format of the sensing information is a TLV (Type Length Value) format. An agility analysis system as described in claim 1, wherein the processor analyzes a visual analysis information based on the sensing information and the at least one detection coordinate information, and the visual analysis information includes a real-time location information of the user. An agility analysis system as described in claim 1, wherein the user interface further allows the user to input a detection range, and the sensing information is generated by the millimeter wave detection unit when the user is located in the detection range. A method for analyzing agility, comprising: Inputting at least one detection coordinate information through a user interface; Sense a movement state of a user through a sensor disposed on a user; Detecting the sensor through a millimeter wave detection unit to generate a sensing information; Accessing the sensing information through a database, wherein the sensing information includes a coordinate information, a speed information, an acceleration information, and a time information; Receiving the sensing information from the database through a processor, and analyzing agility information of the user based on the sensing information and the at least one detection coordinate information; Inputting a plurality of detection sub-coordinate information through the user interface; and The processor generates a plurality of segmented agility information according to the detection sub-coordinate information, the at least one detection coordinate information and the sensing information. An agility analysis method as described in claim 5, wherein the millimeter wave detection unit is a millimeter wave radar, and a data format of the sensing information is a TLV format. The agility analysis method as described in claim 5 further includes: Analyzing a visual analysis information based on the sensing information and the at least one detection coordinate information by the processor, wherein the visual analysis information includes a real-time location information of the user. The agility analysis method as described in claim 5 further comprises: A detection range is input through the user interface, wherein the sensing information is generated by the millimeter wave detection unit when the user is located in the detection range.

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