JP2015225277A - Chopstick motion feature determination device,chopstick motion feature determination system, method for operating chopstick motion feature determination device, and computer program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a chopstick motion feature determination device capable of determining how chopsticks are moving.SOLUTION: A chopstick motion feature determination device 1 comprises: acceleration acquisition means (signal processing unit 13) for acquiring fixed chopstick acceleration for each of a plurality of axial directions detected by an acceleration sensor 11 provided in fixed chopsticks K and acting chopstick acceleration for each of the axial directions detected by an acceleration sensor 21 provided in acting chopsticks S; and a chopstick motion feature determination unit 17 for calculating relative acceleration derived by subtracting the fixed chopstick acceleration from the acting chopstick acceleration for each axial direction, and determining, on the basis of a relative acceleration pattern indicating a difference in the relative acceleration for each axial direction, which motion feature among a plurality of predetermined motion features the fixed chopsticks K and the acting chopsticks S are operating with at the time the relative acceleration is calculated.

Description

  The present invention relates to a chopstick operation feature determination device, a chopstick operation feature determination system, an operation method of a chopstick operation feature determination device, and a computer program.

  The conventional chopstick holding correction equipment is to give a special tool to the chopsticks for the movement of the chopsticks and the placement of the finger, or to use a special chopsticks called correction chopsticks to provide physical restraint conditions This makes it possible to correct how to hold chopsticks. However, such an orthodontic appliance or orthodontic chopsticks are easily recognized by others as “correcting how to hold chopsticks”. It was difficult to correct how to hold chopsticks without being understood by others in situations that were noticeable to others. One of the motives for correcting how to hold chopsticks is “bad eyesight”, but it is not desirable to understand the correction itself from the surroundings.

  Therefore, there is a problem that it is difficult for a user who cares about the situation to use a conventional chopstick holding correction instrument or a correct chopstick. It is important to reduce the number of scenes in which correction cannot be performed in the early stages of correction when it is necessary to be aware of how to hold chopsticks.

"Automatic recording method of eating behavior using conductive chopsticks", IPSJ research report, information system and social environment research report, IPSJ, 2013-03-08, 1-8.

If the user thinks about how to correct the way of holding chopsticks without being understood by others, if the user can automatically determine how the chopsticks are operating, the user can simply recognize it. This is preferable because the psychology of correction works.
With the technique disclosed in Non-Patent Document 1, it is possible to measure the food gripping behavior using chopsticks and the food feeding behavior of the gripped food, but there is no description about how to hold the chopsticks.

  The present invention has been made in view of the above-described problems, and an object of the present invention is to provide a chopstick operation feature determination apparatus, a chopstick operation feature determination system, and a chopstick operation feature that can determine how the chopsticks are operating. An object of the present invention is to provide a method for operating a determination apparatus.

  In order to solve the above problems, a chopstick operation feature determination device according to a first aspect of the present invention includes a fixed chopstick acceleration for each of a plurality of axial directions detected by an acceleration sensor provided on the fixed chopstick, and the fixed chopstick Acceleration acquisition means for acquiring an action chopstick acceleration in each axial direction detected by an acceleration sensor provided on the action chopstick used, and a relative acceleration obtained by subtracting the fixed chopstick acceleration from the action chopstick acceleration in each axis direction Based on the relative acceleration pattern indicating the difference of the relative acceleration for each of the axial directions, which operation feature among the plurality of operation features predetermined by the fixed chopsticks and the action chopsticks when the relative acceleration is calculated And a chopstick operation feature determination unit for determining whether or not the device is operating.

  A chopstick operation feature determination system according to a second aspect of the present invention includes the chopstick operation feature determination device, the fixed chopsticks, and the action chopsticks.

  According to a third aspect of the present invention, there is provided an operation method of the chopstick operation feature determination device, wherein the chopstick operation feature determination device includes a fixed chopstick acceleration for each of a plurality of axial directions detected by an acceleration sensor provided on the fixed chopstick, and the fixed chopstick And the action chopstick acceleration in each axial direction detected by an acceleration sensor provided on the action chopsticks used together with the chopstick operation feature determination device from the action chopstick acceleration to the fixed chopstick acceleration in each axis direction. The relative acceleration obtained by subtracting the relative acceleration is calculated, and the fixed chopsticks and the action chopsticks when the relative acceleration is calculated based on the relative acceleration pattern indicating the difference of the relative acceleration for each of the axial directions It is characterized by determining which of the operation characteristics is operating.

  According to the present invention, it is possible to determine how the chopsticks are operating.

1 is a diagram illustrating a chopstick operation feature determination system according to a first embodiment. FIG. It is a figure which shows an example of the fixed chopstick acceleration condition database. It is a figure which shows an example of the relative acceleration pattern database. It is a figure which shows the relative acceleration pattern of each of normal chopsticks, cross chopsticks, and grip chopsticks. 4 is a flowchart showing the operation of a chopstick state determination unit 15. 5 is a flowchart showing the operation of a chopstick operation feature determination unit 17. It is a figure which shows the chopstick operation characteristic determination system which concerns on 2nd Embodiment. It is explanatory drawing of the calibration in 2nd Embodiment. It is explanatory drawing of vibration. It is a figure which shows the chopstick state determination system which concerns on 3rd Embodiment. It is a figure which shows the structure of the chopstick operation characteristic determination apparatus 1B and the acceleration measurement apparatus 2. FIG. It is explanatory drawing of the calibration in 3rd Embodiment. It is explanatory drawing of the projection from xy coordinate system to x'y 'coordinate system. It is a figure which shows an example of the chopstick operation characteristic database. It is a figure which shows another example of the chopstick operation characteristic database.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

 [First embodiment]

FIG. 1 is a diagram showing a chopstick operation feature determination system according to the first embodiment.
The chopstick operation feature determination system includes fixed chopsticks K and action chopsticks S used during eating, a chopstick operation feature determination device 1 provided on the fixed chopsticks K, and an acceleration measurement device 2 provided on the action chopsticks S. The fixed chopsticks K are chopsticks with less movement in the normal way of holding chopsticks, and the working chopsticks S are chopsticks with more movement. Hereinafter, the fixed chopsticks K and the working chopsticks S are collectively referred to as chopsticks. The chopstick operation feature determination device 1 and the acceleration measurement device 2 are provided on the surface and inside of the fixed chopsticks K and the working chopsticks S, respectively.
Here, when facing the top of the fixed chopsticks K and action chopsticks S, the left-right direction is the x-axis direction, the right direction is the positive direction, the up-down direction is the y-axis direction, the upward direction is the positive direction, the fixed chopsticks K, The length direction of the working chopsticks S is the z-axis direction, and the front direction is the positive direction. The user of the chopsticks holds the chopsticks so that the acceleration in these directions can be measured.

The chopstick operation feature determination device 1 includes an acceleration sensor 11 in the x-axis, y-axis, and z-axis directions, a communication unit 12, a signal processing unit 13, a fixed chopstick acceleration condition database 14, a chopstick state determination unit 15, a relative acceleration pattern database 16, A chopstick operation feature determination unit 17 and a display unit 18 are provided.
The acceleration measuring device 2 includes an acceleration sensor 21 and a communication unit 22 in the x-axis, y-axis, and z-axis directions.

FIG. 2 is a diagram illustrating an example of the fixed chopstick acceleration condition database 14.
The fixed chopstick acceleration condition database 14 has predetermined conditions for a chopstick state name “gripping” indicating a state in which the chopsticks grip food (hereinafter referred to as a gripping state) and the acceleration of the fixed chopsticks K in this chopstick state. A record including a fixed chopstick acceleration condition, a chopstick state name “feeding” indicating a state of eating food with the chopsticks (feeding state), and a predetermined condition for the acceleration of the fixed chopstick K in this chopstick state And a record including a fixed chopstick acceleration condition.

The former fixed chopstick acceleration condition is composed of one set of Kz <0. Kz is the acceleration of the fixed chopsticks K in the z-axis direction.
The latter fixed chopstick acceleration condition is composed of two expressions, Kx> 0 and Kz> 0.
Kx and Kz are accelerations of the fixed chopsticks K in the x and z axis directions, respectively.
In the gripping state, the tip of the fixed chopsticks K faces downward. Therefore, the fixed chopsticks acceleration condition in the gripping state is as described above.
On the other hand, in the fed state, for example, in the case of a right-handed person, the fixed chopsticks K are pulled forward and to the right. Therefore, the fixed chopstick acceleration conditions in the eating state are as described above.

FIG. 3 is a diagram illustrating an example of the relative acceleration pattern database 16.
The relative acceleration pattern database 16 stores, for each operation feature of chopsticks, a pattern (hereinafter referred to as a relative acceleration pattern) regarding relative acceleration when the chopstick is operating with the operation feature.

  The relative acceleration is obtained by subtracting the acceleration of the fixed chopsticks K (hereinafter, fixed chopstick acceleration) from the acceleration of the working chopsticks S (hereinafter referred to as “action chopstick acceleration”), and is calculated for each axial direction. The relative acceleration pattern indicates a difference in relative acceleration for each axial direction.

  If only the working chopstick acceleration is used without using the relative acceleration, it may be caused by the movement of the working chopstick S with respect to the fixed chopstick K, or the fixed chopstick K and the working chopstick S with the posture change of the hand. It cannot be distinguished whether it was caused by both movements. If the relative acceleration is used, the latter factor can be eliminated, and the feature of the operation due to the former factor can be detected.

  In the relative acceleration pattern database 16, the relative acceleration pattern included in the record including the chopstick operation feature name “ordinary chopsticks” indicating the operation feature of the normal chopsticks is composed of two expressions of Ry> a · Rx and Ry> D. .

The relative acceleration pattern included in the record including the chopstick operation feature name “cross chopsticks” indicating the operation feature of chopsticks known as cross chopsticks is composed of two formulas Rx> Ry / a and Rx> D.
The relative acceleration pattern included in the record including the chopstick operation feature name “grip chopsticks” indicating the operation feature of the chopsticks known as the grip chopsticks is composed of two expressions, Rx <D and Rz <D.
Rx, Ry, and Rz are relative accelerations in the x, y, and z axis directions, respectively. a and D are a predetermined coefficient and a threshold value, respectively.

FIG. 4 is a diagram illustrating relative acceleration patterns of normal chopsticks, crossed chopsticks, and grip chopsticks.
Ry is much larger than Rx in the usual way of gripping chopsticks. Therefore, the relative acceleration pattern of normal chopsticks is as described above.
For crossed chopsticks, Rx is much larger than Ry. Therefore, the relative acceleration pattern of the crossed chopsticks is as described above.
With grip chopsticks, both Rx and Ry are very small. Therefore, the relative acceleration pattern of the grip chopsticks is as described above.

Returning to FIG.
The acceleration sensor 11 detects Kx, Ky, and Kz and notifies the signal processing unit 13 of them.
The acceleration sensor 21 detects the accelerations Sx, Sy, Sz of the working chopsticks S in the x-, y-, and z-axis directions, the communication unit 22 notifies the communication unit 12 of this, and the communication unit 12 detects the signal processing unit 13. Notify
The signal processing unit 13 applies a low-pass filter to Kx, Ky, and Kz and transfers the result to the chopstick state determination unit 15.

Here, the signal processing unit 13 uses, for example, an exponential moving average. That is, the signal processing unit 13 assumes that Kx, Ky, and Kz notified immediately before are Kx (t−1), Ky (t−1), and Kz (t−1). , Kz are corrected and transferred to the chopstick state determination unit 15.
Kx = 0.9 × Kx + 0.1 × Kx (t−1)
Ky = 0.9 * Ky + 0.1 * Ky (t-1)
Kz = 0.9 * Kz + 0.1 * Kz (t-1)
In addition, the signal processing unit 13 transfers Kx, Ky, Kz, Sx, Sy, and Sz to the chopstick operation feature determination unit 17.

FIG. 5 is a flowchart showing the operation of the chopstick state determination unit 15.
First, the chopstick state determination unit 15 reads the fixed chopstick acceleration condition in the record including the chopstick state name “gripping” from the fixed chopstick acceleration condition database 14 and determines whether Kx, Ky, and Kz correspond to the fixed chopstick acceleration condition. (S1), and if applicable, the chopstick state name “gripping” is read (S3).

  If not applicable, the chopstick state determination unit 15 reads the fixed chopstick acceleration condition in the record including the chopstick state name “feeding” from the fixed chopstick acceleration condition database 14, and Kx, Ky, and Kz correspond to the fixed chopstick acceleration condition. (S5), and if applicable, the chopstick state name "feeding" is read (S7).

The chopstick state determination unit 15 displays the read chopstick state name “gripping” or “feeding” on the display unit 18 (S9), and ends the process.
If it does not correspond (S5: NO), the chopstick state determination unit 15 displays the error name “no corresponding state” on the display unit 18 (S11), and ends the process.

FIG. 6 is a flowchart showing the operation of the chopstick operation feature determination unit 17.
When the chopstick state name “gripping” is read in the process of FIG. 5, the chopstick operation feature determination unit 17 performs the process of FIG. 6.

The chopstick operation feature determination unit 17 first calculates three relative accelerations Rx = Sx−Kx, Ry = Sy−Ky, and Rz = Sz−Kz (S21).
The chopstick operation feature determination unit 17 reads the relative acceleration pattern included in the record including the chopstick operation feature name “normal chopsticks” from the relative acceleration pattern database 16, and determines whether Rx, Ry, and Rz correspond to the relative acceleration pattern. A judgment is made (S23), and if applicable, the chopstick operation feature name “normal chopsticks” is read (S25).

  If not applicable, the chopstick operation feature determination unit 17 reads the relative acceleration pattern included in the record including the chopstick operation feature name “crossed chopsticks” from the relative acceleration pattern database 16, and Rx, Ry, and Rz correspond to the relative acceleration pattern. (S27), if applicable, the chopstick operation feature name “cross chopsticks” is read (S29).

  If not applicable, the chopstick operation feature determination unit 17 reads the relative acceleration pattern included in the record including the chopstick operation feature name “grip chopsticks” from the relative acceleration pattern database 16, and Rx, Ry, and Rz correspond to the relative acceleration pattern. (S31), if applicable, the chopstick operation feature name “grip chopsticks” is read (S33).

The chopstick operation feature determination unit 17 displays the read chopstick operation feature name “normal chopsticks”, “crossed chopsticks”, or “grip chopsticks” on the display unit 18 (S35), and ends the process.
If it is not applicable (S31: NO), the chopstick operation feature determination unit 17 displays the error name “no corresponding operation” on the display unit 18 (S37), and ends the process.

  As described above, according to the chopstick operation feature determination device 1 according to the first embodiment, the fixed chopstick acceleration for each of the plurality of axial directions detected by the acceleration sensor 11 provided on the fixed chopstick K, and the working chopsticks Acceleration acquisition means (signal processing unit 13) for acquiring the action chopstick acceleration in each axial direction detected by the acceleration sensor 21 provided in S, and the relative acceleration obtained by subtracting the fixed chopstick acceleration from the action chopstick acceleration in each axis direction Based on the relative acceleration pattern indicating the difference of the relative acceleration in each axial direction, which of the plurality of motion characteristics predetermined by the fixed chopsticks K and the action chopsticks S when the relative acceleration is calculated is calculated. Since the chopstick operation feature determination unit 17 that determines whether the chopsticks are operating is provided, it is possible to determine how the chopsticks are operating.

  Further, the chopstick operation feature determination unit 17 displays the chopstick operation feature name “normal chopsticks”, “cross chopsticks”, or “grip chopsticks”, so if “cross chopsticks” or “grip chopsticks” is displayed, correct it. Psychology that works is preferable.

  In the first embodiment, the fixed chopsticks K are provided with the chopstick operation feature determining device 1 and the working chopsticks S are provided with the acceleration measuring device 2, but the working chopsticks S are provided with the chopstick operation feature determining device 1 and fixed. The acceleration measuring device 2 may be provided on the chopsticks K.

 [Second Embodiment]

FIG. 7 is a diagram illustrating a chopstick operation feature determination system according to the second embodiment.
The chopstick operation feature determination system includes fixed chopsticks K and action chopsticks S, an acceleration measurement device 1A provided on the fixed chopsticks K, an acceleration measurement device 2 provided on the operation chopsticks S, and a chopstick operation feature determination device 3.

  The chopstick operation feature determination apparatus 3 includes a communication unit 31, a fixed chopstick acceleration condition database 14, a chopstick state determination unit 15, a relative acceleration pattern database 16, and a chopstick operation feature determination unit 17.

  The acceleration measuring apparatus 1A includes an acceleration sensor 11, a signal processing unit 13, a communication unit 101, a vibrator 102, a vibrator control unit 103, and a switch 104. The acceleration measuring device 2 includes an acceleration sensor 21 and a communication unit 22.

FIG. 8 is an explanatory diagram of calibration in the second embodiment.
As shown in FIG. 8A, the mark m is provided from one side to the center of the upper end surface K1 of the fixed chopsticks K, and the mark m is provided from one side to the center of the upper end surface S1 of the working chopsticks S.

  Here, when the marks m and m do not face each other as before calibration shown in FIG. 8B, the user rotates the fixed chopsticks K and the working chopsticks S and marks m and m after calibration. Make the face up. As a result, the acceleration in each axis direction can be measured correctly.

Returning to FIG.
When the switch 104 is pressed by the user, the process proceeds to a learning phase of the coefficient α and the threshold value D in the relative acceleration pattern database 16.
In the learning phase, the user normally performs a food gripping operation three times while holding the chopsticks.

  At each time, the acceleration sensor 11 detects Kx, Ky, and Kz and notifies the signal processing unit 13 of them. At each time, the acceleration sensor 21 detects Sx, Sy, and Sz, and the communication unit 22 notifies the communication unit 101 of them. At each time, the signal processing unit 13 applies a low-pass filter to Kx, Ky, and Kz as in the first embodiment, and transfers the result to the communication unit 101. At each time, the communication unit 101 transfers Kx, Ky, Kz, Sx, Sy, Sz to the communication unit 31. At each time, the communication unit 31 transfers Kx, Ky, Kz, Sx, Sy, and Sz to the chopstick operation feature determination unit 17.

The chopstick operation feature determination unit 17 calculates two relative accelerations Rx = Sx−Kx and Ry = Sy−Ky each time.
If the average of Rx is Rxa and the average of Ry is Rya,
The chopstick operation feature determination unit 17 sets the coefficient α to α = Rya / Rxa
Calculated by
Threshold D is D = Rxa
And the coefficient α and the threshold value D in the relative acceleration pattern database 16 are overwritten, respectively.

  The coefficient α is used to determine that a certain percentage difference has occurred between Rx and Ry, and the threshold value D is used to determine that a certain fluctuation has occurred. The coefficient α and the threshold value D are updated.

  In other than the learning phase, the same operation as that of the first embodiment is performed to determine the chopstick state and the chopstick operation characteristics.

That is, the acceleration sensor 11 detects Kx, Ky, and Kz and notifies the signal processing unit 13 of them.
The acceleration sensor 21 detects Sx, Sy, and Sz, and the communication unit 22 notifies the communication unit 101 of this.

The signal processing unit 13 applies a low-pass filter to Kx, Ky, and Kz as in the first embodiment, and transfers the result to the communication unit 101.
The communication unit 101 transfers Kx, Ky, Kz, Sx, Sy, Sz to the communication unit 31.
The communication unit 31 transfers Kx, Ky, Kz to the state determination unit 15, and transfers Kx, Ky, Kz, Sx, Sy, Sz to the chopstick operation feature determination unit 17.

  The chopstick state determination unit 15 performs determination in the same manner as in the first embodiment, and reads the chopstick state name or error name.

When the chopstick state name “gripping” is read, the chopstick operation feature determination unit 17 performs the same determination as in the first embodiment, reads the chopstick operation feature name or the error name, and notifies the communication unit 31 of the determination. .
The communication unit 31 transmits the chopstick operation feature name or the error name to the communication unit 101.
The communication unit 101 transfers the chopstick operation feature name or error name to the vibrator control unit 103.

FIG. 9 is an explanatory diagram of the vibration.
As shown in FIG. 9, for example, the vibrator control unit 103 does not vibrate the vibrator 102 if the chopstick operation feature name is “normal chopsticks”, and vibrates the vibrator 102 once if the chopstick operation feature name is “cross chopsticks”. If the chopstick operation feature name is “grip chopsticks”, the vibrator 102 is vibrated twice briefly.

  As described above, according to the chopstick operation feature determination device 3 according to the second embodiment, the fixed chopstick acceleration for each of the plurality of axial directions detected by the acceleration sensor 11 provided on the fixed chopstick K, and the working chopsticks Acceleration acquisition means (communication unit 31) for acquiring the action chopstick acceleration in each axial direction detected by the acceleration sensor 21 provided in S, and the relative acceleration obtained by subtracting the fixed chopstick acceleration from the action chopstick acceleration in each axis direction. The fixed chopsticks K and the action chopsticks S when the relative acceleration is calculated based on the relative acceleration pattern indicating the difference of the relative accelerations in the axial directions are calculated using any one of the predetermined operation characteristics. The chopstick operation feature determination unit 17 that determines whether the chopsticks are operating can be determined.

  The vibrator control unit 103 vibrates the vibrator 102 once when the chopstick operation feature name is “cross chopsticks”, and vibrates the vibrator 102 twice briefly when the chopstick operation feature name is “grip chopsticks”. Works and is preferable.

  In the second embodiment, the fixed chopsticks K are provided with the acceleration measuring device 1A and the working chopsticks S are provided with the acceleration measuring device 2, but the working chopsticks S are provided with the acceleration measuring device 1A, and the fixed chopsticks K are accelerated. A measuring device 2 may be provided.

 [Third embodiment]

FIG. 10 is a diagram illustrating a chopstick state determination system according to the third embodiment.
The chopstick operation feature determination system includes a fixed chopstick K and a working chopstick S, a chopstick operation feature determination device 1B provided on the fixed chopstick K, an acceleration measuring device 2 provided on the operation chopstick S, and a chopstick operation feature display device 4. Prepare.

  The chopstick operation feature determination apparatus 1B includes an acceleration sensor 11, a signal processing unit 13, a communication unit 101, a calibration unit 105, a rotation matrix storage unit 106, a switch 107, a fixed chopstick acceleration condition database 14, a chopstick state determination unit 15, and a relative acceleration. A pattern database 16 and a chopstick operation feature determination unit 17 are provided.

The acceleration measuring device 2 includes an acceleration sensor 21 and a communication unit 22.
The chopstick operation feature display device 4 includes a communication unit 41, a chopstick operation feature database 42, a display control unit 43, and a display unit 44.

FIG. 11 is a diagram illustrating the configuration of the chopstick operation feature determination device 1B and the acceleration measurement device 2.
The chopstick operation feature determination device 1B and the acceleration measurement device 2 have cap shapes that can be attached to the fixed chopsticks K and the action chopsticks S, respectively. Reference numerals 1T and 2T denote upper ends of the chopstick operation feature determination device 1B and the acceleration measurement device 2, respectively.

  The switch 107 is provided on the side surface of the cap, and one of OFF, calibration, and normal operation can be selected.

FIG. 12 is an explanatory diagram of calibration in the third embodiment.
As shown in (a), before calibration, the x and y axes of the acceleration sensor 11 provided in the chopstick operation characteristic determination device 1B and the x and y axes of the acceleration sensor 21 provided in the acceleration measurement device 2 are Does not match.

  Therefore, the user selects calibration with the switch 107, and as shown in (b), an acceleration F in the upward direction is applied to the acceleration measuring device 2 (working chopsticks S), and a downward motion is applied to the chopstick operation feature determining device 1B. Add acceleration F.

Returning to FIG.
The acceleration sensor 11 detects Kx, Ky, and Kz and notifies the signal processing unit 13 of them.
The acceleration sensor 21 detects Sx, Sy, and Sz, and the communication unit 22 notifies the communication unit 101 of this. The communication unit 101 transfers this to the signal processing unit 13.

The signal processing unit 13 transfers Kx, Ky, Kz, Sx, Sy, Sz to the calibration unit 105 when calibration is selected by the switch 107.
The calibration unit 105 generates the following rotation matrices Rk and Rs using Kx, Ky, Sx, and Sy, and stores them in the rotation matrix storage unit 106.

が得られる。よって、

を満たすＲのような回転行列を生成すれば、これを用いて、Ｋｘ、Ｋｙ、Ｋｚ、Ｓｘ、Ｓｙ、Ｓｚの軸方向を一致させることができる。 When the acceleration vectors (x, y) consisting of the respective accelerations in the x and y axis directions of FIG. 12 (a) are obtained, the accelerations consisting of the respective accelerations in the x ′ and y ′ axis directions of FIG. 12 (c). vector

Is obtained. Therefore,

If a rotation matrix such as R that satisfies the above is generated, the axial directions of Kx, Ky, Kz, Sx, Sy, and Sz can be made coincident with each other.

が成立する。すなわち、

である。Ｒは回転行列である。これを解いて、

が得られる。 It supplements about a rotation matrix.
FIG. 13 is an explanatory diagram of the projection from the xy coordinate system to the x′y ′ coordinate system.
According to the figure

Is established. That is,

It is. R is a rotation matrix. Solve this,

Is obtained.

Using this, conversion of an arbitrary acceleration vector (x, y) to the x′y ′ coordinate system can be performed by the following equation.

  The signal processing unit 13 applies a low-pass filter (LPF) to Kx, Ky, and Kz in the same manner as in the first embodiment, and when the normal operation is selected by the switch 107, the rotation matrix storage unit The rotation matrices Rk and Rs are read from 106, the vector (Kx, Ky) is multiplied (corrected) by Rk, and the vector (Sx, Sy) is multiplied (corrected).

  The signal processing unit 13 notifies the chopstick state determination unit 15 of Kx (after correction), Ky (after correction), Kz (no correction), and Kx (after correction), Ky (after correction), Kz (no correction) , Sx (after correction), Sy (after correction), and Sz (no correction) are notified to the chopstick operation feature determination unit 17.

  The chopstick state determination unit 15 performs determination in the same manner as in the first embodiment, and reads the chopstick state name or error name.

  When the chopstick state name “gripping” is read, the chopstick operation feature determination unit 17 performs the same determination as in the first embodiment, reads the chopstick operation feature name or the error name, and notifies the communication unit 101 of the determination. To do.

The communication unit 101 transmits the chopstick operation feature name or error name to the communication unit 41.
The communication unit 41 updates the chopstick operation feature database 42 with the chopstick operation feature name or error name.

FIG. 14 is a diagram illustrating an example of the chopstick operation feature database 42.
The chopstick operation feature database 42 includes a record including the chopstick operation feature name “normal chopsticks” and the number of receptions thereof, a record including the chopstick operation feature name “cross chopsticks” and the number of receptions thereof, and a chopstick operation feature name “grip chopsticks”. A record including the number of receptions and a record including the total number of receptions are provided. The reception count and the total reception count are updated according to the received chopstick operation feature name.

FIG. 15 is a diagram showing another example of the chopstick operation feature database 42.
The chopstick operation feature database 42 stores which chopstick operation feature name is received for each feeding time, that is, each time a chopstick operation feature name is received. When the chopstick operation feature name is received, it is stored in association with a new feeding time.

Returning to FIG.
For each chopstick operation feature name, the display control unit 43 reads the reception count from the record including the chopstick operation feature name in the chopstick operation feature database 42, and associates the chopstick operation feature name with the reception count (the number of eating). It is displayed on the display unit 44.

  Alternatively, for each feeding time, the display control unit 43 detects the chopstick operation feature name of the feeding time from the chopstick operation feature database 42 and associates the feeding time with the chopstick operation feature name in the display unit 44. indicate.

  As described above, according to the chopstick operation feature determination device 1B according to the third embodiment, the fixed chopstick acceleration for each of the plurality of axial directions detected by the acceleration sensor 11 provided on the fixed chopstick K, and the working chopsticks Acceleration acquisition means (signal processing unit 13) for acquiring the action chopstick acceleration in each axial direction detected by the acceleration sensor 21 provided in S, and the relative acceleration obtained by subtracting the fixed chopstick acceleration from the action chopstick acceleration in each axis direction Based on the relative acceleration pattern indicating the difference of the relative acceleration in each axial direction, which of the plurality of motion characteristics predetermined by the fixed chopsticks K and the action chopsticks S when the relative acceleration is calculated is calculated. Since the chopstick operation feature determination unit 17 that determines whether the chopsticks are operating is provided, it is possible to determine how the chopsticks are operating.

  In addition, the display control unit 43 displays the chopstick operation feature name and the number of times of feeding, or displays the feeding time and the chopstick operation feature name. Work and preferred.

  In the third embodiment, the fixed chopsticks K are provided with the chopstick operation feature determining device 1B and the working chopsticks S are provided with the acceleration measuring device 2. However, the working chopsticks S are provided with the chopstick operation feature determining device 1B and fixed. The acceleration measuring device 2 may be provided on the chopsticks K.

  A computer program for causing a computer to function as the chopstick operation feature determination device according to each embodiment can be recorded on a computer-readable recording medium such as a semiconductor memory, a magnetic disk, an optical disk, a magneto-optical disk, and a magnetic tape. Further, it can be widely distributed by being transmitted via a communication network such as the Internet.

DESCRIPTION OF SYMBOLS 1, 1B, 3, 4 ... Chopstick operation characteristic determination apparatus 1A, 2 ... Acceleration measurement apparatus 11, 21 ... Acceleration sensor 12, 22, 31, 41, 101 ... Communication part 13 ... Signal processing part 14 ... Fixed chopstick acceleration condition database DESCRIPTION OF SYMBOLS 15 ... State determination part 15 ... Chopstick state determination part 16 ... Relative acceleration pattern database 17 ... Chopstick operation characteristic determination part 18, 44 ... Display part 21 ... Acceleration sensor 42 ... Chopstick operation characteristic database 43 ... Display control part 102 ... Vibrator 103 ... Vibrator control unit 104, 107 ... switch 105 ... calibration unit 106 ... rotation matrix storage unit F ... acceleration S ... working chopsticks K ... fixed chopsticks K1, S1 ... upper end surface Rk, Rs ... rotation matrix Rx, Ry, Rz ... relative acceleration Sx, Sy, Sz ... Acceleration of working chopsticks S Kx, Ky, Kz ... Acceleration of fixed chopsticks K m ... Mark

Claims (5)

A fixed chopstick acceleration for each of a plurality of axial directions detected by an acceleration sensor provided on the fixed chopsticks, and an action chopstick acceleration for each of the axial directions detected by an acceleration sensor provided for the working chopsticks used together with the fixed chopsticks Acceleration acquisition means for acquiring
A relative acceleration obtained by subtracting the fixed chopstick acceleration from the working chopstick acceleration for each axial direction is calculated, and the relative acceleration is calculated based on a relative acceleration pattern indicating a difference of the relative acceleration for each axial direction. A chopstick operation feature determination device, comprising: a chopstick operation feature determination unit that determines which of the plurality of operation features the fixed chopstick and action chopstick are operating in advance. The chopstick operation feature determination device includes:
A relative acceleration pattern database that stores relative acceleration patterns when the fixed chopsticks and the working chopsticks are operating with the operation features for each operation feature,
The chopstick operation feature determination device according to claim 1, wherein the chopstick operation feature determination unit searches the relative acceleration pattern database for a relative acceleration pattern corresponding to the calculated relative acceleration.   A chopstick operation feature determination system comprising the chopstick operation feature determination device according to claim 1, the fixed chopsticks, and the working chopsticks. The chopstick operation feature determination device has a fixed chopstick acceleration for each of a plurality of axial directions detected by an acceleration sensor provided on the fixed chopsticks, and the axis detected by an acceleration sensor provided on the working chopsticks used together with the fixed chopsticks Get the action chopstick acceleration for each direction,
The chopstick operation feature determination device calculates a relative acceleration obtained by subtracting the fixed chopstick acceleration from the action chopstick acceleration for each axial direction, and based on a relative acceleration pattern indicating a difference of the relative acceleration for each axial direction, An operation method of a chopstick operation feature determination apparatus, characterized in that it determines which operation feature among a plurality of predetermined operation features the fixed chopstick and the action chopstick are operating when the relative acceleration is calculated. A computer program for causing a computer to function as the chopstick operation feature determination device according to claim 1.

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