JPH10272216A - Swing diagnosing device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To obtain a swing diagnosing device by which a swing operation is minutely diagnosed and, moreover, a practice effect is hightened. SOLUTION: The device is provided with an acceleration detector 1 which is fitted to the left arm of a swing practicer so as to detect the acceleration of the left arm at the time of swinging and to output a detection result as an acceleration signal Sa, an amplifier 2 for amplifying the acceleration signal Sa by a fixed amplifying rate and CPU 3 for judging the smoothness of swinging and the turning speed of a wrist, etc., based on the output signal of the amplifier 2.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a swing diagnostic apparatus used for practicing swing in sports (eg, golf) in which two hands swing, and more particularly to a swing diagnostic apparatus suitable for practicing wrist movement. .

[0002]

2. Description of the Related Art In sports such as golf and baseball in which a ball is hit by a swing, a swing operation is an important factor that determines the flight distance and direction of a hit ball. At the time of this swing operation, the movement of a hand that operates a tool (a golf club, a bat, or the like) that hits a ball is important. For this reason, conventionally, when practicing such a swing, Japanese Patent Application Laid-Open Nos. 3-55076, 61-136771 and 5-505549 have disclosed devices for objectively diagnosing the swing motion. Various swing diagnostic devices as disclosed in US Pat.
The swing diagnostic device disclosed in the above-mentioned Japanese Patent Application Laid-Open No. 3-55076 is a device for measuring the load balance of both feet during a swing. In addition, the actual opening 61-1367
No. 71 and Japanese Patent Application Laid-Open No. 5-505549 each disclose a swing diagnostic apparatus that measures the acceleration of a body part during a swing and compares the measured data with reference data to diagnose a swing motion. This is a device for performing evaluation.

[0003]

By the way, in the conventional swing diagnosis apparatus, in particular, Japanese Utility Model Application Laid-Open No. 61-1367.
As disclosed in Japanese Patent Publication No. 71, the swing operation can be roughly diagnosed, but a detailed diagnosis of the swing operation such as the smoothness of the swing operation and the return of the wrist cannot be performed. Therefore, in the conventional swing diagnosis apparatus, the detailed diagnosis of the swing motion is ultimately entrusted to a third party, and there is a disadvantage that a high practice effect cannot be obtained by only one practice. The present invention has been made under such a background, and an object of the present invention is to provide a swing diagnostic apparatus capable of performing a detailed diagnosis of a swing motion and, thereby, enhancing a practice effect.

[0004]

According to the present invention, there is provided a swing diagnostic apparatus for diagnosing swings such as golf, tennis, and baseball batting. Acceleration detection means for detecting and outputting the detection result as an acceleration signal; analog / digital conversion means for converting the acceleration signal into digital acceleration data; storage means for storing the acceleration data; A diagnostic means for reading out the acceleration data and diagnosing the swing based on a result of differentiating the acceleration data, and a notifying means for notifying a diagnosis result of the diagnosing means is provided. According to a second aspect of the present invention, in the swing diagnostic apparatus according to the first aspect, the diagnostic unit diagnoses the smoothness of the swing based on a result of differentiating the acceleration data. I do. According to a third aspect of the present invention, in the swing diagnostic apparatus according to the first aspect, the diagnosing unit diagnoses a movement of the wrist during the swing based on the acceleration data.

[0005]

Embodiments of the present invention will be described below with reference to the drawings. FIG. 1 is a block diagram showing a configuration of a swing diagnosis device according to one embodiment of the present invention.
In this drawing, reference numeral 1 denotes an acceleration detector attached to the left arm of a swing trainer, and detects an acceleration G of the left arm during a swing. The acceleration detector 1 outputs a detection result as an acceleration signal Sa.

An amplifier 2 amplifies the acceleration signal Sa at a constant amplification factor. Reference numeral 3 denotes a CPU (Central Processing Unit), which determines smoothness of a swing, a wrist return speed, and the like based on an output signal of the amplifier 2. This CPU
The details of the process 3 will be described later. Reference numeral 4 denotes a determination result display, which displays the determination result under the control of the CPU 3.

Next, the operation of the swing diagnostic apparatus according to the above-described embodiment will be described. The following description is an operation when the swing diagnosis device according to the embodiment is applied to a golf swing diagnosis. First, the trainee attaches the acceleration detector 1 shown in FIG. 1 to his / her left arm, and then performs a swing while holding the golf club. Thereby, the acceleration signal Sa is output from the acceleration detector 1. FIG. 2 shows the waveform of the acceleration signal Sa output from the acceleration detector 1 during this swing. In this figure, the vertical axis represents acceleration G and the horizontal axis represents time t, and each symbol indicates the next timing. A: Takeback period (T1-T3) B: Downswing period (T3-T5) C: First half of takeback period (T1-T2) D: Second half of takeback period (T2-T3) E: Downswing period First half (T3-T4) F: Second half of downswing period (T4-T5) G: Period immediately before impact (T5-T6) T1: Start time of takeback T2: Maximum acceleration G in the negative direction during takeback period A T3: Start time of downswing T4: Time when acceleration G is maximum in the positive direction during downswing period B T5: Time of return of wrist T6: Time of impact

As shown in FIG. 2, the golf swing is
It is roughly divided into a takeback period A and a downswing period B. Since the acceleration is represented by a vector based on the rate of change in the speed and the direction thereof, if the downswing direction is positive, the acceleration signal Sa in the takeback period A is negative. That is, the acceleration increases in the negative direction with the increase in the speed of the golf club from the start of takeback T1,
After taking the maximum value in the negative direction (time T2), it decreases with the deceleration of the golf club. And the acceleration is
When the golf club reaches the top dead center in the takeback and temporarily stops, the value becomes zero (time T3).

The acceleration in the downswing period B increases in the positive direction with the start of the downswing,
Time point at which deceleration to prepare for wrist return (time T
In 4), the maximum value is obtained. Further, the acceleration is reduced to zero at the time when the wrist is turned down after the time T4 (time T5), and when the club head catches the ball (time T5).
In step 6), the maximum value is obtained in the negative direction.

The acceleration signal Sa output from the acceleration detector 1 shown in FIG. 1 is input to the CPU 3 after being amplified by the amplifier 2. Thereby, the CPU 3
The first processing F1 including the processing from step S1 to step S4 shown in FIG. 3 is executed. That is, the CPU 3
Goes to step S1, and the input acceleration signal S
After sequentially converting a into a digital signal, the process proceeds to step S2, where it is determined whether or not the acceleration G shown in FIG. 2 obtained from the acceleration signal Sa exceeds the threshold value a. Then, the process returns to step S1.

When the acceleration G exceeds the threshold value a at time Ta shown in FIG. 2, the CPU 3 sets the determination result of step S2 to "YES" and proceeds to step S4. In step S4, the CPU 3 sets the time from time 0 to time T
After storing the waveform data of the acceleration G up to b as data for one swing in a memory (not shown), the process proceeds to step S5, where a second process F2 including steps S5 to S12 is executed. The time Tb is a time 300 ms after the time Ta when the acceleration G exceeds the threshold value a.

In step S5, the CPU 3 calculates a time average of the waveform data after the time Ta shown in FIG. 2 in units of 20 ms, that is, performs a 50 Hz low-pass filter process on the waveform data, and then proceeds to step S6. . In step S6, the CPU 3 searches for a negative extreme value from the time-averaged waveform data, and then proceeds to step S7. In the example shown in FIG. 2, the value X of the acceleration G at the time T6 is searched as the negative extreme value.

In step S7, the CPU 3 registers the negative extreme value searched in step S6. In this case, after registering the value X (see FIG. 2) as the negative extreme value, the process proceeds to step S8. In step S8, the CPU 3
Determines whether or not a negative extreme value has been searched for 100 ms,
If the determination result is “NO”, the process returns to step S5, and the search for the negative extreme value is continuously performed.

Now, from time Ta shown in FIG.
Assuming that the search for the negative extreme value has been completed for all the waveform data up to the time when 0 ms has elapsed, the CPU 3 sets the determination result of step S8 to "YES" and proceeds to step S9. In step S9, the CPU 3 determines whether or not there is one or more negative extreme value in step S6. In this case, since the extreme value X (see FIG. 2) has been searched, CP
U3 determines that the result of the determination in step S9 is “YES”,
Proceed to step S10.

On the other hand, in step S6, the negative extreme value is 1
If none were found, the CPU 3 proceeds to step S9
Is determined as "NO", the process proceeds to step S11, and the search for the negative extreme value is continued for the waveform data after the time 100 ms has elapsed from the time Ta shown in FIG. After that, the process proceeds to step S12.

In step S10, the CPU 3 searches for the smallest negative extreme value from a plurality of negative extreme values. In this case, the CPU 3 sets the extreme value X (time T6) shown in FIG. 2 to the smallest negative extreme value, and then proceeds to step S12. In step S12, the CPU 3 registers the point P6 shown in FIG. 2, which is the smallest negative extreme value searched in step S10, as an impact point. In this case, CPU3
After registering the time T6 and the extreme value X at the point P6, the process proceeds to step S13, and executes a third process F3 including steps S13 to S15.

In step S13, the CPU 3 sets the time T
After calculating the time average of the waveform data before 6 in units of 20 ms, the process proceeds to step S14. In step S14, C
PU3 goes back along the time axis from the point P6 shown in FIG. 2 and searches for a point where the acceleration G is zero.
Returning to step S13, the above process is repeated.

Now, when searching for the point P5 shown in FIG. 2, that is, the point where the acceleration G is zero, the CPU 3 sets the determination result of step S14 to "YES" and proceeds to step S15.
Proceed to. This point P5 is the return point of the wrist. In step S15, after registering the time T5 at the point P5, the CPU 3 proceeds to step S16 and executes a fourth process F4 including steps S16 to S18.

In step S16, the CPU 3 calculates a time average of the waveform data before the point P5 in units of 20 ms, and then proceeds to step S17. In step S17, the CP
U3 searches the time-averaged waveform data for a point where the differential value of the acceleration G is zero, and returns to step S16 to repeat the above process until the zero point is searched.

Now, when searching for a point P4 at which the differential value at time T4 shown in FIG. 2 is zero, the CPU 3 sets the determination result of step S17 to "YES", and proceeds to step S18.
Proceed to. In step S18, the CPU 3 registers the point P4 as an intermediate point of the downswing period B, and then proceeds to step S19, and proceeds to step S19 and step S19.
A fifth process F5 consisting of 20 is executed.

In step S19, the CPU 3 goes back along the time axis from point P4 shown in FIG. 2 to search for a point where the acceleration G is zero, and searches for point P3 shown in FIG. 2, that is, a point where the acceleration G is zero. Proceed to S20. This point P3 is a downswing start point. In step S20, the CP
U3 registers the point P3, and then proceeds to step S2 shown in FIG.
The process proceeds to 1, and a sixth process F6 including steps S21 to S23 is executed.

In step S21, the CPU 3 calculates the time average of the waveform data before the point P3 in units of 100 ms, and then proceeds to step S22. In step S22, C
PU3 searches for a point where the differential value of acceleration G is zero from the time-averaged waveform data, and until the point where the zero point is searched for.
Returning to step S21, the above process is repeated.

Then, when searching for the point P2 at which the differential value at time T2 shown in FIG. 2 is zero, the CPU 3 sets the determination result of step S22 to "YES" and sets step S23.
Proceed to. In step S23, after registering the point P2 as an intermediate point of the takeback period A, the CPU 3 proceeds to step S24 and executes a seventh process F7 including steps S24 to S26.

In step S24, the CPU 3 sets the time T
After calculating the time average of the waveform data before 2 in units of 100 ms, the process proceeds to step S25. In step S25,
The CPU 3 goes back along the time axis from the point P2 shown in FIG. 2 to search for a point where the acceleration G is zero, and returns to step S24 to repeat the above-described process until the zero point is searched.

Now, when searching for the point P1 shown in FIG. 2, that is, the point where the acceleration G is zero, the CPU 3 sets the determination result of step S25 to "YES" and sets step S26
Proceed to. This point P1 is the start point of the takeback period A. In step S26, after registering the time T1 of the point P1, the CPU 3 proceeds to step S27, and proceeds to step S27.
An eighth process F8 consisting of steps 27 to S31 is executed.

In step S27, the CPU 3 goes back along the time axis shown in FIG. 2 to calculate a time average of the waveform data of the section before the time T6 in 20 ms units, and then proceeds to step S28.
Proceed to. In step S28, the CPU 3 starts calculating a differential value for the waveform before time T6, and then proceeds to step S29.

In step S29, the CPU 3 substitutes zero for a variable X5 as an internal variable, and then proceeds to step S2.
In step 8, it is determined whether or not there is a point where the differential value becomes zero in units of 20 ms. Here, the variable X5 is a variable indicating the number of points at which the differential value becomes zero in the section from time T6 to T5 shown in FIG. In this case, FIG.
The differential value at the point P6 shown in (1) is zero, but the differential value at the point P6 is excluded from the determination result in step S29.

Then, if the decision result in the step S29 is "NO", the CPU 3 proceeds to a step S31,
If the decision result in the step S29 is "YES", the process advances to a step S30 to increment the variable X5 by one.
Proceed to step S30. In this case, the variable X5 is zero.

In step S31, the CPU 3 determines whether or not the calculation of the differential value has been performed up to the point P5 shown in FIG.
If the determination result is "NO", the process returns to step S27 and the above-described process is repeated.

Then, when the calculation of the differential value at the point P5 shown in FIG. 2 is completed, the CPU 3 sets the determination result of step S31 to "YES" and proceeds to step S32, and proceeds to the ninth step including steps S32 to S36. The process F9 is executed. In the example of the waveform data shown in FIG. 2, the variable X5 is zero when the calculation of the differential value at the point P5 is completed.

In step S32, the CPU 3 calculates the time average of the waveform data of the section before time T5 in units of 20 ms by going back in the time axis shown in FIG.
Proceed to. In step S33, the CPU 3 starts calculating a differential value for the waveform before time T5, and then proceeds to step S34.

In step S34, the CPU 3 substitutes zero for a variable X4, which is an internal variable, and then proceeds to step S3.
In step 3, it is determined whether or not there is a point where the differential value becomes zero in units of 20 ms. Here, the variable X4 is a variable indicating the number of points where the differential value becomes zero in the section from time T5 to T4 shown in FIG.

Then, if the decision result in the step S34 is "NO", the CPU 3 proceeds to a step S36,
If the decision result in the step S34 is "YES", the process advances to a step S35 to increment the variable X4 by one.
Proceed to step S36. In this case, the variable X4 is zero.

In step S36, the CPU 3 determines whether the calculation of the differential value has been performed up to the point P4 shown in FIG.
If the determination result is "NO", the process returns to step S32 and the above-described process is repeated.

When the calculation of the differential value at the point P4 shown in FIG. 2 is completed, the CPU 3 sets the determination result of step S36 to "YES" and proceeds to step S37 shown in FIG. 5, and proceeds from step S37 to step S41. A tenth process F10. In this case, the differential value at point P4 shown in FIG. 2 is zero, but the differential value at point P4 is excluded from the determination result in step S34. In the example of the waveform data shown in FIG. 2, the variable X4 is zero when the calculation of the differential value at the point P4 is completed.

In step S37, the CPU 3 goes back along the time axis shown in FIG. 2 to calculate the time average of the waveform data of the section before time T4 in 20 ms units, and then proceeds to step S38.
Proceed to. In step S38, the CPU 3 starts calculating a differential value for the waveform before time T4, and then proceeds to step S39.

In step S39, the CPU 3 substitutes zero for a variable X3, which is an internal variable, and then proceeds to step S3.
In step 8, it is determined whether or not there is a point where the differential value becomes zero in units of 20 ms. Here, the variable X3 is a variable indicating the number of points at which the differential value becomes zero in the section from time T4 to T3 shown in FIG.

When the result of the determination in step S39 is "NO", the CPU 3 proceeds to step S41,
If the decision result in the step S34 is "YES", the process advances to a step S40 to increment the variable X3 by one.
Proceed to step S41. In this case, the variable X3 is zero.

In step S41, the CPU 3 determines whether the calculation of the differential value has been performed up to the point P3 shown in FIG.
If the determination result is "NO", the process returns to step S37 and the above-described process is repeated.

Then, when the calculation of the differential value at the point P3 shown in FIG. 2 is completed, the CPU 3 sets the determination result of step S41 to "YES" and proceeds to step S42, and proceeds to the eleventh step including steps S42 to S46. Processing F11
Execute In the example of the waveform data shown in FIG.
When the calculation of the differential value of the point is completed, the variable X3
Is zero.

In step S42, the CPU 3 calculates the time average of the waveform data of the section before time T3 in units of 20 ms by going back in the time axis shown in FIG.
Proceed to. In step S43, the CPU 3 starts calculating a differential value for the waveform before time T3, and then proceeds to step S44.

In step S44, the CPU 3 substitutes zero for a variable X2, which is an internal variable, and then proceeds to step S4.
In step 3, it is determined whether or not there is a point where the differential value becomes zero in units of 20 ms. Here, the variable X2 refers to a variable indicating the number of points at which the differential value becomes zero in the section from time T3 to T2 shown in FIG.

If the result of the determination in step S44 is "NO", the CPU 3 proceeds to step S46,
If the decision result in the step S44 is "YES", the process advances to a step S45 to increment the variable X2 by one.
Proceed to step S46. In this case, the variable X2 is zero.

In step S46, the CPU 3 determines whether the calculation of the differential value has been performed up to the point P2 shown in FIG.
If the determination is "NO", the flow returns to step S42 to repeat the above-described process.

When the calculation of the differential value at the point P2 shown in FIG. 2 is completed, the CPU 3 sets the determination result of step S46 to "YES" and proceeds to step S47, and proceeds to the twelfth step including steps S47 to S51. Processing F12
Execute In this case, the differential value at point P2 shown in FIG. 2 is zero, but the differential value at point P2 is excluded from the determination result in step S44. In the example of the waveform data shown in FIG. 2, the variable X2 is zero when the calculation of the differential value at the point P2 is completed.

In step S47, the CPU 3 goes back along the time axis shown in FIG. 2 to calculate the time average of the waveform data in the section before the time T2 in 20 ms units, and then proceeds to step S48.
Proceed to. In step S48, the CPU 3 starts calculating a differential value for the waveform before time T2, and then proceeds to step S49.

In step S49, the CPU 3 substitutes zero for a variable X1 which is an internal variable, and then proceeds to step S4.
In step 8, it is determined whether or not there is a point where the differential value becomes zero in units of 20 ms. Here, the variable X1 is a variable indicating the number of points at which the differential value becomes zero in the section from time T2 to T1 shown in FIG.

Then, if the decision result in the step S49 is "NO", the CPU 3 proceeds to a step S51,
If the decision result in the step S49 is "YES", the process advances to a step S50 to increment the variable X1 by one.
Proceed to step S51. In this case, the variable X1 is zero.

In step S51, the CPU 3 determines whether or not the calculation of the differential value has been performed up to the point P1 shown in FIG.
If the determination is "NO", the flow returns to step S47 to repeat the above-described process.

When the calculation of the differential value at the point P1 shown in FIG. 2 is completed, the CPU 3 sets the determination result of step S51 to "YES" and ends the processing. In this case, the differential value at point P2 shown in FIG. 2 is zero, but the differential value at point P2 is excluded from the determination result in step S44. In the example of the waveform data shown in FIG. 2, when the calculation of the differential values at the points P6 to P1 is completed, the variables X5 to X1
Are both zero.

When the processing described with reference to FIGS. 3 to 5 ends, the CPU 3 sets the variables X1 to X5
The swing is diagnosed based on the value of the acceleration G and the waveform of the acceleration G shown in FIG. That is, the CPU 3 determines the variables X1 to X
After selecting the variable, which is the largest value among the values of No. 5, a message corresponding to the variable is displayed in item 1 shown in FIG.
-Select one from item 5. Items 1 to 5
Correspond to the variables X1 to X5, respectively.

For example, when the value of the variable X1 among the variables X1 to X5 is the largest, the CPU 3 selects the message of item 1 "smooth movement in the first half of takeback" shown in FIG. That is, the fact that the value of the variable X1 is the largest means that the waveform of the acceleration G in the first half C of the takeback period shown in FIG. 2 is not smooth because there are many maximum points and minimum points. Accordingly, in this case, the CPU 3 makes a diagnosis result of the swing that the movement in the first half of the takeback is not smooth.

Further, among the variables X1 to X5, the variable X
When the value of 2 is the largest, the CPU 3 selects the message of item 2 "smooth the second half of the takeback movement" shown in FIG. That is, the fact that the value of the variable X2 is the largest is determined by the latter half D of the takeback period shown in FIG.
Means that the waveform of the acceleration G has a large number of local maximum points and local minimum points. Therefore, in this case, the CPU 3 makes a diagnosis result of the swing that the movement in the latter half of the takeback period is not smooth.

Also, of the variables X1 to X5, the variable X
When the value of “3” is the largest, the CPU 3 selects the message “Smooth the movement in the first half of the swing” of item 3 shown in FIG. That is, that the value of the variable X3 is the largest means that the waveform of the acceleration G in the first half E of the downswing period shown in FIG. 2 is not smooth because there are many maximum points and minimum points. Therefore, in this case, the CPU 3 makes a diagnosis result of the swing that the movement in the first half of the swing is not smooth.

Further, among the variables X1 to X5, the variable X
When the value of 4 is the largest, the CPU 3 selects the message of item 4 “smooth the second half of the swing” shown in FIG. That is, the fact that the value of the variable X4 is the largest means that the waveform of the acceleration G in the latter half F of the downswing period shown in FIG. 2 is not smooth because there are many local maximum points and local minimum points. Therefore, in this case, the CPU 3 makes a diagnosis result of the swing that the movement in the latter half of the swing is not smooth.

Further, of the variables X1 to X5, the variable X
When the value of 5 is the largest, the CPU 3 selects the message of “smooth movement immediately before impact” of item 5 shown in FIG. That is, that the value of the variable X5 is the largest means that the waveform of the acceleration G in the period G immediately before the impact shown in FIG. 2 is not smooth because there are many maximum points and minimum points. Therefore, in this case,
The CPU 3 makes a diagnosis result of the swing that the movement immediately before the impact is not smooth.

When all of the values of the variables X1 to X5 are zero, the CPU 3 returns to the point P6 shown in FIG.
The swing diagnosis is performed based on the value of the acceleration G at the impact point. That is, when the value of the acceleration G at the point P6 shown in FIG. 2 is larger than zero, the CPU 3 sets the item 8 shown in FIG.
Select the message that says "Wrist snap is true to basics." Therefore, in this case, the CPU 3 makes a diagnosis result of the swing that the snap of the wrist is not true to the basics.

When the acceleration G at the point P6 shown in FIG. 2 is between zero and -0.5, the CPU 3 issues a message "Let's be careful about wrist snapping" in item 7 shown in FIG. Select Therefore, in this case, the CPU 3
Diagnose a swing that the wrist snap is poor. Further, the acceleration G at the point P6 shown in FIG.
If it is smaller than 0.5, the CPU 3 proceeds to item 6 shown in FIG.
Select the message "This is a wrist snap shot." Therefore, in this case, the CPU 3 makes a diagnosis result of the swing that the snap of the wrist is effective.

Then, in the example shown in FIG.
FIG. 6 shows that the acceleration G at the point P6 is smaller than -0.5.
After selecting the message of item 6 "Wrist snapped shot", the data of the message and the waveform data of the acceleration G shown in FIG. 2 are output to the judgment result display 4 shown in FIG. As a result, as shown in FIG. 7, a message “the wrist snap shot is effective” is displayed on the judgment result display 4 along with the waveform of the acceleration G, as shown in FIG.

In the swing diagnosing device according to the above-described embodiment, the CPU 3 integrates the acceleration G in the section near the point P5 shown in FIG. Is also possible. In other words, in the swing diagnosis device according to the embodiment, it is also possible to diagnose the movement of the wrist.
In this case, the CPU 3 may output the wrist return speed data to the determination result display 4 to display the wrist return speed in addition to the display shown in FIG.

As described above, according to the swing diagnosis apparatus according to the embodiment of the present invention, the objective swing diagnosis result is displayed on the judgment result display 4, so that even one person can practice the swing effectively. The effect is obtained. Further, according to the swing diagnosis apparatus according to the embodiment, the diagnosis result is displayed on the determination result display 4 after the smoothness of the swing is diagnosed. Therefore, the first half C of the takeback period and the second half of the takeback period. D, the first half of the downswing period, the second half F of the downswing period, and the period G immediately before the impact, the effect that the trainee can easily know in which period there is a defect. Furthermore, according to the swing diagnostic apparatus of one embodiment, since the return speed of the wrist during the swing, that is, the movement of the wrist, can be obtained, it is possible to obtain an effect that a swing faithful to the basics can be acquired.

Although the embodiment of the present invention has been described in detail with reference to the drawings, the specific configuration is not limited to this embodiment, and a design change within a range not departing from the gist of the present invention. The present invention is also included in the present invention. For example, in the swing diagnosis apparatus according to the above-described embodiment, an example in which the diagnosis result is displayed as characters on the determination result display 4 has been described. However, the present invention is not limited to this. Is also good. In this case,
A speaker may be connected to the CPU 3 shown in FIG. 1, and an audio signal indicating a diagnosis result may be output from the CPU 3 to the speaker.

In the swing diagnostic apparatus according to the above-described embodiment, an example in which the present invention is applied to a golf swing diagnostic has been described. However, the present invention is not limited to this and can be applied to any sport swing diagnostic such as tennis and baseball batting. Applicable.

Further, in the swing diagnostic apparatus according to the above-described embodiment, an example in which the acceleration detector 1 is mounted on the left arm of the trainee has been described. However, the present invention is not limited to this. May be any part as long as it is the part of the trainee.

In addition, in the swing diagnostic apparatus according to the above-described embodiment, the example of the messages of the items 1 to 8 shown in FIG. 6 has been described. However, the present invention is not limited to this. It can be changed depending on the application.

[0066]

According to the first aspect of the present invention, since the trainee can easily know the diagnosis result of the swing by the informing means, it is possible for one person to practice the swing effectively. Is obtained. According to the second aspect of the present invention, since the smoothness of the swing is diagnosed for each section, an effect is obtained that the trainee can easily know in which section the swing has a fault. . According to the third aspect of the present invention, since the trainee can know the movement of the wrist by the notification means, the effect of acquiring a swing faithful to the basics can be obtained.

[Brief description of the drawings]

FIG. 1 is a block diagram showing a configuration of a swing diagnosis device according to an embodiment of the present invention.

FIG. 2 is a diagram showing a waveform of an acceleration G in the swing diagnosis device according to the same embodiment.

FIG. 3 is a flowchart illustrating an operation of a CPU 3 shown in FIG.

FIG. 4 is a flowchart illustrating an operation of a CPU 3 shown in FIG.

FIG. 5 is a flowchart illustrating the operation of CPU 3 shown in FIG.

FIG. 6 is a diagram showing various messages in the swing diagnosis device according to one embodiment of the present invention.

7 is a diagram showing a display example of a judgment result display 4 shown in FIG.

[Explanation of symbols]

 DESCRIPTION OF SYMBOLS 1 Acceleration detector 2 Amplifier 3 CPU 4 Judgment result display

Claims (3)

[Claims] 1. A swing diagnostic apparatus for diagnosing swings such as golf, tennis, and baseball batting, wherein the acceleration is attached to a predetermined part of a trainee, detects the acceleration of the part, and outputs the detection result as an acceleration signal. Detecting means; analog / digital conversion means for converting the acceleration signal into digital acceleration data; storage means for storing the acceleration data; reading the acceleration data from the storage means and differentiating the acceleration data based on the result. A diagnosis means for diagnosing the swing, and a notifying means for notifying a diagnosis result of the diagnosis means. 2. The swing diagnosis apparatus according to claim 1, wherein the diagnosis unit diagnoses the smoothness of the swing for each predetermined section of the swing based on a result of differentiating the acceleration data. 3. The swing diagnosis apparatus according to claim 1, wherein the diagnosis unit diagnoses a movement of the wrist during the swing based on the acceleration data.