TW201813698A - Intelligent boxing practice system and method - Google Patents

Abstract

An intelligent boxing practice system includes: an acceleration sensor circuit disposed on a boxing practice device for generating boxing data according to an received external impact from a boxing by a user, a signal transmitter to transmit the boxing data to an electronic device; a boxing data analysis program executed by a processor to enable the processor to analyze a particular boxing data group in a particular period to generate a boxing symbol; and a display device to display the boxing symbol, wherein the analysis includes receiving a particular boxing power value, a particular boxing speed value and a stamina value from the particular boxing data group.

Description

Intelligent hitting practice system and method

The present invention relates to a hit practice system, and more particularly to a smart hit practice system.

Boxing is a world-renowned competitive sport. Boxers must often maintain their competitiveness through hit training. Similarly, for other martial arts, practitioners often practice by hitting the training. In the past, the common hitting training device was sandbags. Boxers or other martial arts practitioners could train by hitting sandbags. However, this training method can only evaluate the content of the hit by feeling, and lacks an objective analysis mechanism. .

Now the playground has a hitting game machine that can calculate the strength of the user and display the score according to the strength. However, this game machine can only detect a single hitting power and cannot be applied to the boxer. Training.

In addition, there are now training for boxers or other martial arts practitioners. The training device that combines sandbags with pressure sensors can detect the strength of the user. However, in the case of a pressure sensor, the user's hitting position must be struck on the pressure sensor to be effectively detected, so the user must hit a certain limited range of area, or A plurality of pressure sensing devices are placed on the striking device to sense the full range of the striking device, and therefore, in addition to the inconvenience of the user, the manufacturing cost of the manufacturer is increased.

In addition, the above training device can only evaluate the user's single strength, and can not fully present the continuous hitting situation, and has limited help for training. Therefore, there is still much room for improvement on how to accurately analyze the hitting situation.

In view of this, the present invention provides a smart hitting practice system to solve the above problems.

An object of the present invention is to provide a smart hitting practice system, comprising: an acceleration sensor circuit disposed on a hitting practice device to generate a hitting data according to an external force received, and the hitting data The hit data is transmitted to an electronic device through a signal transmitter; a hit data analysis program is installed on the electronic device, and is executed by a processor on the electronic device, so that The processor analyzes a specific hit data group for a specific time to generate a hit indicator; and a display for displaying the hit indicator; wherein the analysis includes the specific hit data A specific hit strength value, a specific hit speed value, and an endurance value are obtained in the group. Thereby, the intelligent hitting practice system of the present invention transmits the hit data to the electronic device for analysis, and obtains a specific hitting force value, a specific hitting speed value, and an endurance value from the hit data, and performs an operation. Can provide users with complete and accurate information on the hit status.

In one embodiment, the striking practice device includes a base that can be fixedly disposed on the floor and a buffering kit combined with the base. When an external force strikes the body, the acceleration sensor circuit is configured according to the buffering device. A portion of the instantaneous displacement change produces a hit data. Thereby, through the setting of the acceleration sensor side, the user's hitting range can be expanded, the precision can be improved, and the number of sensors can be reduced to reduce the manufacturing cost.

In an embodiment, the analyzing further comprises performing a positive addition calculation on the obtained specific hitting force value, the specific hitting speed value, and the endurance value to generate the hitting indicator. In a preferred embodiment, the positive addition calculation refers to multiplying the specific hit strength value, the specific hit speed value, and the endurance value based on respective preset weight values. Therefore, if the user does not complete the training of a certain value due to the mistake of use, the hitting indicator exhibits a very low value, so that the user's use problem can be immediately reflected to enhance the analysis. The accuracy.

Another object of the present invention is to provide a smart hitting practice method comprising: generating a hitting data according to an external force impacted by an impact sensor circuit provided on a hitting exercise device; Transmitting the hit data to an electronic device by using a signal transmitter; performing a hit data analysis program by a processor on the electronic device, thereby performing a specific hit for a specific time Playing a data group for analysis to generate a hitting indicator; and displaying the hitting indicator by a display; wherein the analyzing comprises obtaining a specific hitting force value from the specific hitting data group, Specific hit speed value and one endurance value. Thereby, the smart hit practice method of the present invention uses the hit data to be transmitted to the electronic device for analysis, and obtains a specific hit strength value, a specific hit speed value, and an endurance value from the hit data, and performs an operation. Can provide users with complete and accurate information on the hit status.

Still another object of the present invention is to provide a hit data analysis program that, when executed by a processor on an electronic device, causes the processor to perform an analysis performed by a processor of the aforementioned smart hit practice system.

1 is a schematic structural view of an embodiment of an intelligent hitting practice system 1 of the present invention. As shown in FIG. 1, the smart hitting practice system 1 includes a hitting practice device 10 and a hitting data analysis program 22 that can be mounted on an electronic device 20. The striking practice device 10 includes an acceleration sensor circuit 12 including a processor 14, a signal transmitter 16, and a digital/analog acceleration sensor (G sensor) 18, which are electrically connected to each other. Sexual connection. Thereby, when an external force hits the hitting practice device 10, the digital/analog acceleration sensor 18 senses changes such as displacement or deformation that occur in the hitting practice device 10, and generates an analog/digital signal. The processor 14 processes the digital/analog digital signal to convert the aforementioned displacement or deformation into a power information of the user and generate a hit data 30. The signal transmitter 16 is configured to transmit the hit data 30 to the electronic device 20 for analyzing the hit data 30 on the electronic device 20. For example, when a user hits the hitting practice device 10 with an external force, the hitting practice device 10 generates the hit data 30 according to the external force impact from the user. The hitting data 30 has power information when the user hits the hitting practice device 10 once.

Preferably, when the user continuously hits the hitting practice device 10, the acceleration sensor circuit 12 will generate a plurality of stroke data, and information such as the time interval between each stroke data.

The signal transmitter 16 is an element having a wireless transmission function, such as an antenna element, a wireless communication chip, etc., for transmitting data to an external device. It can transmit data using various wireless communication methods, such as Bluetooth, GPS, GSM, LTE, NFC, etc., but by way of example and not limitation. In other embodiments, the signal transmitter 16 can also be changed to a wired transmission component, such as a USB device, etc., but by way of example and not limitation. The signal transmitter 16 can also be disposed outside the acceleration sensor circuit 12 and electrically connected to the acceleration sensor circuit 12 .

The electronic device 20 can be any of various commonly used devices, such as a mobile phone, a tablet, a computer, a television, or a router. Preferably, the electronic device 20 is an electronic device having a processor 24, and when the processor 24 executes the hit data analysis program 22, the processor 24 can analyze multiple hit data in a period of time. And defining a specific hit data group in a specific time from the plurality of hit data, and then generating a hit index 40 from the specific hit data group. The electronic device 20 further has a display 26, such as a display screen or the like, so that the hitting indicator 40 can be displayed on the display 26, or the electronic device 20 can also transmit data with another device to allow The hit indicator 40 can be displayed on the display of the other device. Thereby, the user can understand the hitting condition by the hitting indicator 40. In an embodiment, the hitting indicator 40 is to convert one or more hitting data in the specific hitting data group into a score or related quantized data related to the hitting force, time, such as a user. The score of the comprehensive strike ability. In addition, the comparison of the user's performance with others can also be displayed on the display 26.

In the preferred embodiment, when the processor 24 executes the hit data analysis program 22, the analysis performed by the processor 24 for the particular hit data group for a specific time period includes the hit data. A specific hit strength value, a specific hit speed value, and an endurance value are obtained in the group. It should be noted that the analysis performed by the processor 24 is merely an example and not a limitation. In other embodiments, the processor 24 may also obtain more values from the hit data group and perform subsequent processing. . In addition, the above-mentioned word "acquisition" preferably refers to the generation of the numerical values by calculation, but is not limited thereto, and may also refer to other common methods, such as receiving data to obtain the numerical values and the like.

The hitting practice device 10 and the hitting data analysis program 22 executed by the electronic device 20 will be separately described below.

The portion of the exercise device 10 is first hit for this. 2 is a perspective exploded view of an embodiment of the striking exercise device 10. As shown in FIG. 2, the striking practice device 10 includes a base 51, a connecting portion 53, and a buffer portion 55 that can be fixedly disposed on the floor. The connecting portion 53 is fixed to the base 51 , and the buffer portion 55 is sleeved on the outer periphery of the connecting portion 53 . The material and structure of the base 51 are not limited, and may be fixed to the floor. In an embodiment, the connecting portion 53 can be assembled with the base 51. However, in other embodiments, the base 51 and the connecting portion 53 can also be integrally formed.

In one embodiment, the connecting portion 53 is substantially in the form of a cylinder, such as a hollow cylinder, but is not limited thereto. The connecting portion 53 preferably includes a sleeve portion 531, an elastic portion 533 and a connecting member 535. The sleeve portion 531 is preferably, but not limited to, having an inner diameter larger than the diameter of the outer diameter of the connecting member 535, and The elastic portion 533 is located between the sleeve portion 531 and the connecting member 535. The elastic portion 533 may be any structure having elastic recovery properties. For example, in the embodiment, it is an integrally formed wrinkle structure and has a plurality of bends, and in other embodiments, it may be other elastic. A structure that restores properties, such as the use of a spring as a primary elastomer or the like. In addition, a damping material (such as a foaming plastic) may be placed in the elastic portion 533 to reduce the number of times of the swing.

The buffer portion 55 may be composed of any cushioning material such as a foamed material or the like. In the present embodiment, the buffer portion 55 is a hollow cylinder having a receiving space 551 therein and a buffer material portion 553 at the periphery. Therefore, when the hitting practice device 10 is assembled, the sleeve portion 531 of the connecting portion 53 can be received in the receiving space 551 of the buffer portion 55 and then sleeved on the fitting portion 531.

In addition, the hitting practice device 10 is provided with at least one of the acceleration sensor circuits 12, and the setting position thereof is not limited. The "acceleration sensor circuit 12 is disposed on the hitting practice device 10" may mean that the acceleration sensor circuit 12 is disposed inside the hitting practice device 10, or may be disposed on the hitting practice device. On the outer surface of 10, for example, in one embodiment, an acceleration sensor circuit 12 is embedded in the inner side above the buffer portion 551, and in another embodiment, for example, an acceleration sensor circuit 12 It is disposed on the top surface of the striking exercise device 10 to prevent the user from directly hitting the acceleration sensor circuit 12 when directly hitting. It should be noted that in an embodiment, the striking exercise device 10 can have multiple acceleration sensor circuits 12 and a plurality of digital/analog acceleration sensors 18 at the same time, but in other embodiments, the hitting The exercise device 10 has a plurality of digital/analog acceleration sensors 18 and an acceleration sensor circuit 12, but each digital/analog acceleration sensor 18 is electrically coupled to the same acceleration sensor circuit 12.

In addition, when the digital/analog acceleration sensor 18 is an analog acceleration sensor, the acceleration sensor circuit 12 can further have an analog-to-digital converter to generate an analog signal generated by the analog acceleration sensor. The signal is converted to a digital signal and processed by the processor 14 to generate the hit data 30.

The acceleration sensor circuit 12 of the present invention is used to detect the instantaneous displacement amount when the hitting practice device 10 is hit, instead of using the pressure sensor of the conventional hitting practice device to detect when the hit is hit. The pressure value received. Since the user does not need to directly hit the sensor, the invention can not only improve the accuracy of the user's hitting information, but also avoid the problem that the sensor is easily damaged. In addition, the above description of the hitting practice device is merely an example, and is not limited thereto. Actually, the hitting practice device can also be modified into various common aspects such as a hanging form and the like.

Next, the portion of the electronic device 20 that executes the hit data analysis program 22 will be described. Please refer to FIG. 1 to FIG. 3 at the same time. 3 is a flow chart showing the steps of the operation method of the smart hitting practice system 1. The operation flow of the hitting practice device 10 and the execution of the hit data analysis program 22 by the electronic device 20 are performed. The operational process. As shown in FIG. 3, first, step S31 is performed, and the hitting practice device 10 is hit by an external force, for example, the user hits the hitting practice device 10. Thereafter, step S32 is performed, and the acceleration sensor circuit 12 on the striking practice device 10 generates a hitting data 30 according to an external force impact, for example, the displacement of the acceleration sensor circuit 12 according to the striking exercise device 10. Or the deformation or the like changes to generate the hit data 30, wherein the hit data 30 includes the power information of the user's hit. Thereafter, step S33 is executed, and the signal transmitter 16 transmits the hit data 30 to the electronic device 20.

After the processor 24 of the electronic device 20 executes the hit data analysis program 22, step S34 is executed, and the processor 24 analyzes the plurality of hit data for a period of time. Then, step S35 is executed, and the processor 24 obtains a specific hitting force value, a specific hitting speed value, and an endurance value from a specific hitting data group in a specific time of the plurality of hitting data. . Thereafter, step S36 is executed, and the processor 24 performs a positive value calculation on the specific hit strength value, the specific hit speed value, and the endurance value to generate the hit index 40. Thereafter, step S37 is executed, and the display 26 displays the hitting indicator 40 so that the user can read the hitting indicator 40 to know his own striking condition. Steps S34 to S36 will be described in more detail below, and please refer to FIGS. 3, 4 and 5 at the same time.

4 is a schematic diagram of multiple hitting data 30a~30i over a period of time. As shown in FIG. 4, each hitting data 30a~30i has a hitting force value (for example, hitting data 30a has a hitting force value). P1), there is a time interval between every two consecutive hitting data (for example, there is a time interval t1 between the hitting data 30c and 30d), and a plurality of hitting data (for example, 30a~30h) can form a A particular hit data group 30' within a particular time T.

FIG. 5 is a schematic diagram of the detailed process of step S34 of FIG. 3. When step S34 is executed, first sub-step S51 is executed, and the processor 24 executing the hit data analysis program 22 compares the time interval between each of the two consecutive hit data with a preset time tp. The preset time tp is preset by the system administrator or the user, and can be modified. When the time interval between two consecutive hit data (for example, the time interval t2 between the hit data 30g and 30h) is less than the preset time tp, the sub-step S52 is executed, and the processor 24 performs the two The first hit data (e.g., hit data 30g) of the subsequent hit data (e.g., hit data 30g and 30h) is defined as one of the hit data of the particular hit data group 30'. When the time interval between the two hit data (for example, the time interval t3 between the hit data 30h and 30i) is greater than the preset time tp, the sub-step S53 is executed, and the processor 24 connects the two strokes. The first hit data (eg, hit data 30h) of the hit data (eg, hit data 30h and 30i) is defined as the last hit data of the particular hit data group 30', whereby the processor 24 may define the particular time T of the segment and the particular hit data group 30'.

Moreover, in an embodiment, sub-step S53 includes the processor 24 defining the second stroke data (e.g., hit data 30i) as the first stroke data in the next particular hit data group.

Fig. 6 is a schematic flow chart showing the details of step S35 of Fig. 3. When step S35 is performed, sub-step S61 is executed, and the processor 24 obtains a specific hitting force value. In one embodiment, the processor 24 executing the hit data analysis program 22 retrieves the hit strength value of one of the hit data in the particular hit data group 30' (eg, hitting the hit data 30a) The force value p1) is set, and the hit strength value is set to the specific hit strength value. If the hit strength value is higher, the corresponding specific hit strength value is also higher. In yet another embodiment, the processor 24 executing the hit data analysis program 22 calculates an average of all the hit strength values in the particular hit data group 30' and sets the average value to The specific hit strength value. It should be noted that the specific hit force value described in the above embodiments is merely an example and is not a limitation.

Further, when step S35 is executed, sub-step S62 is also executed, and the processor 24 obtains a specific hit speed value. In one embodiment, the processor 24 executing the hit data analysis program 22 retrieves the time interval between two consecutive hit data in the particular hit data group 30' (eg, hit data) There is a time interval t1) between 30c and 30d, and the time interval is calculated to set the calculation result as the specific hit speed value. For example, if the time interval is shorter, the faster the hit speed is, the corresponding specific The hit speed value will also be higher. In another embodiment, the processor 24 executing the hit data analysis program 22 calculates an average of the time intervals between all subsequent hit data in the particular hit data group 30' and will The average value is set to the specific hit speed value. It should be noted that the specific hit speed value described in the above embodiments is merely an example and is not a limitation.

In addition, when step S35 is executed, sub-step S63 is also executed, and the processor obtains an endurance value. In one embodiment, the processor 24 executing the hit data analysis program 22 retrieves the total time (ie, the specific time T) of the particular hit data group 30' and sets the total time to the endurance. Values, such as the longer the total time, will have higher endurance values. It should be noted that the aspect of the endurance value described in the above embodiments is merely an example and is not a limitation.

The order of execution of the sub-steps S61 to S63 is not particularly limited. In some embodiments, the order of execution of the sub-steps S61, S62, and S63 may be changed. In some embodiments, sub-steps S61, S62, and S63 can also be performed simultaneously. After performing the sub-steps S61-S63, the processor 24 can obtain the specific hitting force value, the specific hitting speed value, and the endurance value, and execute step S36.

Fig. 7 is a schematic flow chart showing the details of step S36 of Fig. 3. First, step S71 is executed, and the processor 24 executing the hitting data analysis program 22 performs weighting processing on each specific hitting force value, the specific hitting speed value, and the endurance value, that is, each of the weighting values. The weight value of the specific hitting force value, the specific hitting speed value, and the endurance value may be set by an external command, for example, preset by a system administrator, or by the user by the electronic device. 20 input commands to set. In an embodiment, each weight value is preset to be equal.

Then, the step S72 is executed, and the processor 24 executing the hitting data analysis program 22 performs a positive value calculation on the specific hit strength value, the specific hit speed value, and the endurance value after the weighting process to generate A calculation result is obtained, and the calculation result is converted into a hitting index 40. Wherein the positive value calculation means that the calculation result will be provided with the specific hit strength value, the specific hit speed value and the endurance value component, and no component of one value is excluded, for example, adding Or multiply and calculate. In a preferred embodiment, the positive value added calculation multiplies the weighted processed specific hit strength value, the specific hit speed value, and the endurance value to generate the hit index 40.

In other words, in a preferred embodiment, step S36 can be described as performing the following operations by the processor 24 executing the hit data analysis program 22: (specific hit strength value) ^W1 ⨉ (specific hit speed value) ^W2 ⨉ (endurance value) ^W3 = (hit indicator), where W1 is the weight value of the specific hit strength value, W2 is the weight value of the specific hit speed value, and W3 is the weight value of the endurance value.

In the preferred embodiment, the processor 24 multiplies the weighted processed specific hitting force value, the specific hitting speed value, and the endurance value, so that if one of the values is low, it is generated. The score of the hit indicator 40 will also be low, which will avoid the problems of some users. In other words, if the user does not complete the training of a certain value, the hitting indicator exhibits a very low value. For example, if a user expects to increase the specific hit speed value and endurance value by quickly "lightly touching" the sandbag, the calculated value of the hit index 40 will also be calculated because the specific hit strength value is extremely low. Low, even approaching zero. Therefore, the hitting index 40 of the present invention can truly reflect the user's striking condition without some problems in use.

In addition, since different weight values are introduced in the calculation of step S36, the user can increase the weight value of the part according to the part that he wants to strengthen the training. For example, if he wants to strengthen the training endurance, the weight value corresponding to the endurance value can be increased. . Thereby, the smart hitting practice system 1 of the present invention can be adjusted at any time according to the training needs of the user.

In another embodiment, step S36 can also be described as performing the following operations by the processor 24 executing the hit data analysis program 22: [(specific hit strength value / M1) ^W1 ⨉ (specific hit speed value /M2) ^W2 ⨉ (endurance value ⨉/M3) ^W3 ] ^{[1/(W1+W2+W3)]} = (hit indicator), where M1 is the hit stored in the smart hit practice system 1 The highest record of the strength value, M2 is the highest record of the hit speed value stored in the smart hit practice system 1, and M3 is the highest record of the endurance value stored in the smart hit practice system 1, [1 /(W1+W2+W3)] is an exponential operator.

The highest record may be the highest record of the user's hit, or the highest record of the other hits, and the invention is not limited. Therefore, the hitting situation reflected by the hitting indicator 40 will be more accurate.

After the display indicator 40 is generated, that is, step S37 is performed, the electronic device 20 may display the display indicator 40 on its display 26 or transfer the content of the display indicator 40 to another device in the form of data. The display indicator 40 is displayed by the display of the other device. When the display indicator 40 is displayed, it can be converted into various forms for presentation, for example, displayed in the form of a score, or converted into a graphic for display, etc., and the present invention is not limited. In this way, the user can know the status of the current hit and perform subsequent adjustments accordingly.

In addition, the display indicator 40 can also include a plurality of sub-indicators to respectively display the specific striking force value, the specific striking speed value, and the endurance value, so that the user can better understand the details of the striking condition.

The above-mentioned embodiments are merely examples for convenience of description, and the scope of the claims is intended to be limited to the above embodiments.

1‧‧‧Smart Strike Practice System
10‧‧‧Battering practice device
12‧‧‧Acceleration sensor circuit
14‧‧‧ Processor
16‧‧‧Signal Transmitter
18‧‧‧Digital/analog acceleration sensor
20‧‧‧Electronic devices
22‧‧‧ hit data analysis program
24‧‧‧ Processor
26‧‧‧Display
30‧‧‧ hit data
30'‧‧‧Specific hit data group
40‧‧‧ hitting indicators
51‧‧‧Base
53‧‧‧Connecting Department
531‧‧‧ Included
533‧‧‧Flexible Department
535‧‧‧Connecting parts
55‧‧‧ buffer
551‧‧‧ accommodation space
553‧‧‧Buffer Materials Department
30a~30i‧‧‧ hit data
P1‧‧‧ hit strength value
T1~t3‧‧‧ time interval
Tp‧‧‧ preset time
T‧‧‧Specific time
S31~S37‧‧‧Steps
S51~S53‧‧‧Steps
S61~S63‧‧‧Steps
S71~S72‧‧‧Steps

1 is a schematic structural view of an embodiment of a smart hitting practice system of the present invention; FIG. 2 is a perspective exploded view of an embodiment of a hitting practice device of a smart hitting practice system; FIG. 4 is a schematic diagram of a plurality of strokes of data during a period of time; FIG. 5 is a schematic diagram of a detailed procedure of step S34 of FIG. 3; FIG. 6 is a step S35 of FIG. Schematic diagram of the detailed process flow; FIG. 7 is a schematic flow chart of the detailed process of step S36 of FIG.

Claims (12)

An intelligent hitting practice system comprising: an acceleration sensor circuit disposed on a striking exercise device to generate a hit data according to an external force received, and the hit data is transmitted through a signal The transmitter is transmitted to an electronic device; and a hit data analysis program is installed on the electronic device and executed by a processor on the electronic device such that the processor is specific to the processor A specific hit data group is analyzed in time to generate a hit indicator displayed on a display; wherein the analyzing comprises obtaining a specific hitting force value from the specific hit data group, A specific hit speed value and a stamina value. The smart hitting practice system of claim 1, wherein the hitting practice device comprises a base that can be fixedly disposed on the floor and a buffer kit combined with the base, when an external force hits the body The acceleration sensor circuit generates a hit data based on a momentary change in displacement of a portion of the buffer kit. The smart hitting practice system of claim 1, wherein the analyzing further comprises performing a positive addition calculation on the obtained specific hitting force value, the specific hitting speed value, and the endurance value. To generate the hit indicator. The smart hit practice system according to claim 3, wherein the positive bonus calculation means that the specific hit strength value, the specific hit speed value, and the endurance value are based on respective presets. The weight value is used for multiplication calculation. The intelligent striking practice system according to claim 4, wherein the specific striking force value, the specific striking speed value, and the endurance value are multiplied based on respective preset weight values. Perform the following operations: [(Specific Strike Force Value / M1) ^W1 ⨉ (Specific Strike Speed Value / M2) ^W2 ⨉ (Endurance Value ⨉ / M3) ^W3 ] ^{[1/(W1+W2+W3)]} = (Beat The indicator is), wherein M1 is the highest record of the hitting force value stored in the intelligent hitting practice system 1, and M2 is the highest record of the hitting speed value stored in the intelligent hitting practice system 1. M3 is the highest record of the endurance value stored in the intelligent hitting practice system 1, and [1/(W1+W2+W3)] is an exponential operator. The smart hitting practice system of claim 1, wherein the last hit data in the specific hit data group and the first hit data in the next specific hit data group The time interval between them exceeds a preset time. A smart hitting practice method, comprising: generating a hitting data according to an external force impacted by an impact sensor circuit provided on a hitting device; by using a signal transmitter, Transmitting the hit data to an electronic device; performing a hit data analysis program by a processor on the electronic device, and then analyzing a specific hit data group in a specific time to generate a hitting indicator; and displaying the hitting indicator by a display; wherein the analyzing comprises obtaining a specific hitting force value, a specific hitting speed value, and an endurance value from the specific hitting data group . The smart striking practice method of claim 7, wherein the analyzing further comprises performing a positive addition calculation on the obtained specific striking force value, the specific striking speed value, and the stamina value. To generate the hit indicator. The smart hit practice method according to claim 8, wherein the positive bonus calculation means that the specific hit strength value, the specific hit speed value, and the endurance value are based on respective presets. The weight value is used for multiplication calculation. The smart hit practice method according to claim 9, wherein the positive bonus calculation means that the specific hit strength value, the specific hit speed value, and the endurance value are based on respective preset weights. The value is used to perform the multiplication calculation by performing the following operations: [(Specific hit strength value / M1) ^W1 ⨉ (Specific hit speed value / M2) ^W2 ⨉ (endurance value ⨉ / M3) ^W3 ] ^{[1/(W1+W2 +W3)]} = (hit indicator), where M1 is the highest record of the hitting force value stored in the intelligent hitting practice system 1, and M2 is the hit stored in the smart hitting practice system 1. The highest record of the speed value, M3 is the highest record of the endurance value stored in the intelligent hit practice system 1, [1/(W1+W2+W3)] is the exponential operator. The smart hit practice method according to claim 7, wherein the last hit data in the specific hit data group and the first hit data in the next specific hit data group The time interval between them exceeds a preset time. A hit data analysis program that, when executed by a processor of an electronic device, causes the processor to perform the analysis as described in claim 1 of the scope of the patent application.