WO2018003146A1 - Identification system, identification method, program, and recording medium - Google Patents

Identification system, identification method, program, and recording medium Download PDF

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Publication number
WO2018003146A1
WO2018003146A1 PCT/JP2016/089168 JP2016089168W WO2018003146A1 WO 2018003146 A1 WO2018003146 A1 WO 2018003146A1 JP 2016089168 W JP2016089168 W JP 2016089168W WO 2018003146 A1 WO2018003146 A1 WO 2018003146A1
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information
cycle
target
index
identification
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PCT/JP2016/089168
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French (fr)
Japanese (ja)
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勇介 中尾
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Ｎｅｃソリューションイノベータ株式会社
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Priority to JP2018524867A priority Critical patent/JP6639001B2/en
Publication of WO2018003146A1 publication Critical patent/WO2018003146A1/en

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    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B69/00—Training appliances or apparatus for special sports
    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B71/00—Games or sports accessories not covered in groups A63B1/00 - A63B69/00
    • A63B71/06—Indicating or scoring devices for games or players, or for other sports activities

Definitions

  • the present invention relates to an identification system, an identification method, a program, and a recording medium.
  • the same action may be repeated in a series of human movements. For this reason, if the repetition of the same or similar operation in the same person and the repetition of the same or similar operation in both the expert and the beginner can be identified, it is convenient to compare them.
  • the present invention aims to provide a new identification system, identification method, program, and recording medium capable of extracting the same or similar operation cycle from the operation information of the target over time and identifying it as a repetitive operation. To do.
  • the repetitive motion identification system of the present invention comprises: Storage means including information on the operation of the subject over time; Extraction means for extracting information identical or similar to predetermined operation cycle information on the time axis from the time-dependent operation information of the object; It includes an identifying means for identifying an operation indicated by the extracted identical or similar information as a repetitive operation.
  • the identification method of the repetitive motion of the present invention is as follows: An extraction step for extracting information identical or similar to predetermined operation cycle information on the time axis from the operation information of the target over time; The method includes an identification step of identifying an operation indicated by the extracted identical or similar information as a repetitive operation.
  • the program of the present invention is characterized in that the identification method of the present invention can be executed on a computer.
  • the computer-readable recording medium of the present invention records the program of the present invention.
  • FIG. 1 is a block diagram showing an example (Embodiment 1) of the identification system of the present invention.
  • FIG. 2 is a flowchart showing an example (Embodiment 1) of the identification method of the present invention.
  • FIG. 3 is a block diagram showing an example (Embodiment 2) of the identification system of the present invention.
  • FIG. 4 is a flowchart showing an example (Embodiment 2) of the identification method of the present invention.
  • FIG. 5 is a block diagram showing an example (Embodiment 3) of the identification system of the present invention.
  • FIG. 6 is a flowchart showing an example (third embodiment) of the identification method of the present invention.
  • the motion information index is the position of the predetermined portion of the target.
  • the motion information index is a spatial coordinate indicating the position of the predetermined portion.
  • the predetermined portion of the target is a body joint.
  • the motion information index is a trajectory of a moving point with respect to an arbitrary fixed point in the object.
  • the motion information index is a distance of a linear axis connecting an arbitrary fixed point and a moving point in the target.
  • the fixed point is a shoulder joint
  • the moving point is a wrist
  • the identification system of the present invention further includes, for example, a setting unit that sets the operation cycle information, and the setting unit includes a time interval between an arbitrary start point and an end point in the target or non-target time-dependent operation information.
  • the operation information is set as one cycle operation cycle information.
  • the identification method of the present invention further includes, for example, a setting step for setting the operation cycle information. In the setting step, in the operation information over time of the target or non-target, an arbitrary start point and end point are set. The operation information is set as one cycle operation cycle information.
  • the setting means sets operation information between an arbitrary start point and end point as operation cycle information of one cycle in the operation information of the target over time.
  • operation information between an arbitrary start point and end point is set as operation cycle information of one cycle in the operation information of the target with time.
  • the temporal motion information of the target is information using an acceleration of a predetermined part of the target as an index
  • the predetermined operation cycle information is information using the acceleration of the predetermined portion as an index
  • the setting means includes Acquisition means for acquiring time-dependent position information using the position of the predetermined part as an index and time-dependent acceleration information using the acceleration of the predetermined part as an index for the target or non-target movement; Cycle setting means for setting position information between an arbitrary start point and end point as position information of one cycle from the position information with time, Extraction means for extracting position information that is the same as or similar to the position information of one cycle on the time axis from the position information over time; Identification means for identifying the extracted identical or similar position information as a repetitive action; A calculating means for calculating a correlation between position information and acceleration information for the identified repetitive motion; and Setting means for setting acceleration information derived from the one-cycle position information as the one-cycle acceleration information based on the calculated correlation.
  • the identification method of the present invention is, for example,
  • the movement information of the object over time is information using the acceleration of a predetermined part of the object as an index
  • the predetermined operation cycle information is information using the acceleration of the predetermined portion as an index
  • the setting step includes An acquisition step of acquiring time-dependent positional information using the position of the predetermined part as an index and time-dependent acceleration information using the acceleration of the predetermined part as an index for the target or non-target movement; A cycle setting step for setting position information between an arbitrary start point and end point as position information of one cycle from the position information with time; An extraction step of extracting position information that is the same as or similar to the position information of one cycle on the time axis from the position information with time; An identification step for identifying the extracted identical or similar position information as a repetitive action; A calculation step for calculating a correlation between position information and acceleration information for the identified repetitive motion, and A setting step of setting acceleration information derived from the position information of the one cycle as the acceleration information of the one cycle based on the calculated correlation.
  • Embodiment 1 relates to an identification system and an identification method of the present invention.
  • FIG. 1 shows a block diagram of the identification system in the present embodiment.
  • the identification system 10 of this embodiment includes a storage unit 11, an extraction unit 121, and an identification unit 122.
  • the extraction unit 121 and the identification unit 122 may be incorporated in a processing unit (processing device) 12 that is hardware, or may be software or hardware in which the software is incorporated.
  • the processing means 12 may include a central processing unit (CPU).
  • the storage unit 11 is electrically connected to the extraction unit 121
  • the extraction unit 121 is electrically connected to the identification unit 122. Since the identification system 10 of the present embodiment includes the storage unit 11, the extraction unit 121, and the identification unit 122 as one body, it can also be referred to as an identification device, for example.
  • the storage unit 11 includes the operation information of the target over time.
  • Examples of the storage means 11 include a random access memory (RAM), a read only memory (ROM), a flash memory, a hard disk (HD), an optical disk, and a floppy (registered trademark) disk (FD).
  • the storage unit 11 may be a device built-in type or an external type such as an external storage device.
  • the object is not particularly limited, and is an object for identifying a repetitive operation using the identification system 10, for example, and can be an arbitrary object. For example, when identifying a repetitive motion in a motion of rowing all of the boats as the repetitive motion, the object may be, for example, a person rowing a boat.
  • the target is, for example, a fisherman. Details of the repetitive operation will be described later.
  • the type of the motion information is not particularly limited, for example, motion video such as 2D or 3D video, 2D or 3D motion sensor data acquired by a sensor, motion analyzed by a motion analysis table, etc. Analytical data, etc.
  • the operation information of the target over time may be data obtained by motion capture, such as KINECT (registered trademark) manufactured by Microsoft Corporation, Perception Neuron manufactured by noisytom Corporation, or the like.
  • the extraction means 121 extracts information that is the same as or similar to predetermined operation cycle information on the time axis from the time-dependent operation information of the target.
  • Examples of the extracting unit 121 include the CPU.
  • the time axis is, for example, a time axis in the operation information with time of the object.
  • the predetermined operation cycle information is not particularly limited, and may be, for example, preset operation cycle information, or may be operation cycle information previously extracted from the target operation information or the non-target operation information. Specific examples of the predetermined operation cycle information include the following.
  • a catch that attaches the tip of the oar to the water with the knees bent and arms extended is the starting point, and after the stroke (drive), finish, hands away and forward, the posture of the catch
  • the time point when the process returns to the end point can be set as the end point, and the motion information from the start point to the end point can be set as the operation cycle information.
  • the operation cycle information may be determined, for example, from an expert's operation or from a beginner's operation.
  • a method for extracting information that is the same as or similar to the predetermined operation cycle information on the time axis from the operation information over time of the target is not particularly limited, and the operation information over time and the operation cycle information are obtained. This can be done by collating.
  • the similar range is not particularly limited. For example, when performing a broader extraction, an allowable range for the predetermined operation cycle information is set wider, and when performing a stricter extraction, the predetermined operation is performed. What is necessary is just to set the tolerance
  • the index of the motion information is, for example, the position of the predetermined portion of the target.
  • the predetermined portion of the object is not particularly limited and can be determined as appropriate according to the type of operation. Examples of the predetermined portion include a shoulder joint, an elbow, a wrist, a finger of a hand, a hip joint, a knee, an ankle, a joint such as a toe, an upper body, a lower body, and a head.
  • the position of the predetermined portion of the target may be, for example, spatial coordinates indicating the position of the predetermined portion.
  • the motion information indicator may be, for example, a trajectory of a moving point with respect to an arbitrary fixed point in the target.
  • the fixed point and the moving point are not particularly limited and can be appropriately determined according to the type of operation.
  • the rowing operation as described above includes, for example, knee bending, elbow bending, upper body leaning forward, and so on, so that the fixed point is the shoulder joint, the movement A combination with a point as a wrist, a combination with the fixation point as a hip joint, a movement point as a knee or an ankle, a combination with the movement point as a buttock, and the fixation point as a cervical vertebra or a head.
  • the wrist that is the moving point is far from the shoulder joint that is the fixed point (the elbow is extended), It moves to a position close to the shoulder joint (the elbow is bent), and again draws a trajectory returning to a position far from the shoulder joint (the elbow is extended).
  • the motion information indicator may be, for example, a distance of a linear axis connecting an arbitrary fixed point and a moving point in the target.
  • the distance of the linear axis connecting the fixed point (shoulder joint) and the moving point (wrist) is, for example, long at first (a state where the elbow is extended), Then it becomes shorter (the elbow is bent) and again longer (the elbow is extended again).
  • the identification means 122 identifies the operation indicated by the extracted identical or similar information as repetitive information. Examples of the identification unit 122 include the CPU.
  • FIG. 2 shows a flowchart of the identification method in the present embodiment.
  • the identification method of this embodiment is implemented as follows, for example using the identification system 10 of FIG. As shown in FIG. 2, the identification method of this embodiment includes an extraction process (step S121) and an identification process (step S122).
  • step S121 the time-dependent operation information of the target is prepared.
  • step S121 information that is the same as or similar to the predetermined operation cycle information is extracted on the time axis from the temporal operation information of the target.
  • step S122 In the identification step (step S122), the operation indicated by the extracted identical or similar information is identified as a repetitive operation.
  • the same or similar operation cycle can be extracted from the operation information of the target over time and identified as a repetitive operation. For this reason, the user can easily grasp, for example, a comparison between a plurality of repeated actions identified in the action of the same person, a difference between actions, and the like.
  • the user identifies, for example, repetitive actions in the actions of different persons (for example, skilled persons and beginners), compares between different persons, and differences between different persons (differences between beginners and skilled persons). Point) can be easily grasped. As a result, for example, correction to a better operation can be performed more easily.
  • Embodiment 2 relates to an embodiment that further includes means and steps for setting the predetermined operation cycle information in Embodiment 1.
  • FIG. 3 shows a block diagram of the identification system in the present embodiment.
  • the identification system 20 of the present embodiment further includes a setting unit 123 in addition to the units of the identification system 10 of the first embodiment.
  • the setting unit 123 may be incorporated in the processing unit 12.
  • the setting unit 123 is electrically connected to the identification unit 122. Except for this point, the identification system 20 of the present embodiment has the same configuration as the identification system 10 of the first embodiment, and the description of the identification system 10 of the first embodiment can be cited.
  • the setting unit 123 sets operation information between an arbitrary start point and end point as operation cycle information of one cycle in the operation information with time of the target or non-target.
  • the predetermined operation cycle information may be obtained from, for example, the operation information of “the target” for identifying the repetitive operation, or the operation information of “non-target different from the target”. May be obtained from
  • the setting unit 123 first sets one cycle of operation information from the target person's operation information, and the extraction unit 121 further sets the one cycle of operation information in the target person's operation information. It is possible to extract how many times are performed.
  • movement pattern of an expert can be obtained by this form.
  • the setting unit 123 first sets the operation information of one cycle from the operation information of the non-target person different from the target person, and the extraction unit 121 further sets the operation information of the target person.
  • the motion information it is possible to extract how many times one cycle of motion set from the motion information of the non-target person is performed. For example, when analyzing a beginner's motion, etc., a repetitive motion pattern of a beginner can be obtained from one cycle of motion information of a skilled person (non-target person).
  • FIG. 4 shows a flowchart of the identification method in the present embodiment.
  • the identification method of this embodiment is implemented as follows using the identification system 20 of FIG. 3, for example.
  • the identification method of the present embodiment further includes a setting step (step S123) in addition to the steps of the identification method of the first embodiment. Except for this point, the identification method of the present embodiment has the same configuration as the identification method of the first embodiment, and the description of the identification method of the first embodiment can be cited.
  • the extraction process (step S121) and the identification process (step S122) in FIG. 4 can be performed in the same manner as in the first embodiment, and specifically, can be performed according to the flowchart of FIG. 2 described above.
  • step S123 operation information between an arbitrary start point and end point is set as one cycle operation cycle information in the target or non-target time-dependent operation information.
  • the operation information between an arbitrary start point and end point is set as one cycle operation cycle information in the target or non-target time-dependent operation information. For this reason, for example, the user can more easily find the difference in the operation cycle information of one cycle of each of the expert and the beginner.
  • FIG. 5 shows a block diagram of the identification system in the present embodiment.
  • the setting unit 123 of the identification system 20 of the second embodiment includes an acquisition unit 123a, a cycle setting unit 123b, a second extraction unit 123c, and a second identification unit 123d. , Calculating means 123e, and second setting means 123f.
  • the acquisition unit 123a is the cycle setting unit 123b
  • the cycle setting unit 123b is the second extraction unit 123c
  • the second extraction unit 123c is the second identification unit 123d
  • the second identification is performed.
  • the means 123d is electrically connected to the calculation means 123e, and the calculation means 123e is electrically connected to the second setting means 123f. Except for this point, the identification system 30 of the present embodiment has the same configuration as the identification system 20 of the second embodiment, and the description of the identification system 20 of the second embodiment can be cited.
  • the time-dependent motion information of the target in the storage unit 11 is information using the acceleration of a predetermined part of the target as an index.
  • the information using the acceleration of the predetermined portion of the target as an index is obtained by, for example, attaching a smart watch or the like equipped with an accelerometer to a predetermined portion (for example, a joint such as a wrist) of the subject's body. It is.
  • the predetermined operation cycle information is information using the acceleration of the predetermined part as an index.
  • the acquisition unit 123a acquires time-dependent position information using the position of the predetermined part as an index and time-dependent acceleration information using the acceleration of the predetermined part as an index for the target or non-target movement.
  • Position information with time using the position of the predetermined portion as an index can be acquired as, for example, spatial coordinates indicating the position of the predetermined portion as described above.
  • the time-dependent acceleration information using the acceleration of the predetermined portion as an index can be acquired by, for example, wearing a smart watch or the like equipped with an accelerometer as described above.
  • the cycle setting means 123b sets position information between an arbitrary start point and end point as position information of one cycle from the position information with time. This setting can be performed, for example, in the same manner as the setting unit 123 of the second embodiment.
  • the second extraction unit 123c extracts position information that is the same as or similar to the position information of one cycle on the time axis from the position information with time. This extraction can be performed, for example, in the same manner as the extraction unit 121 of the first embodiment.
  • the setting unit 123 does not include the second extraction unit 123c, but the extraction unit 121 may have the function of the second extraction unit 123c.
  • the cycle setting unit 123b is electrically connected to the extraction unit 121.
  • the second identification unit 123d identifies the extracted identical or similar position information as a repetitive operation. This identification can be performed, for example, in the same manner as the identification unit 122 of the first embodiment.
  • the setting unit 123 does not include the second identification unit 123d, but the identification unit 122 may have the function of the second identification unit 123d.
  • the second extraction unit 123c is electrically connected to the identification unit 122.
  • the calculating means 123e calculates the correlation between the position information and the acceleration information for the identified repetitive motion.
  • the second setting means 123f sets the acceleration information derived from the position information of the one cycle as the acceleration information of the one cycle based on the calculated correlation.
  • FIG. 6 shows a flowchart of the identification method of the present embodiment.
  • the identification method of this embodiment is implemented as follows, for example using the identification system 30 shown in FIG.
  • the identification method of the present embodiment includes an extraction process (step S121), an identification process (step S122), an acquisition process (step S123a), a cycle setting process (step S123b), and a second extraction process (step S123c), a second identification step (step S123d), a calculation step (step S123e), and a second setting step (step S123f).
  • the time-dependent operation information of the target is prepared.
  • the movement information of the object over time is information using the acceleration of the object as an index.
  • step S121 In the extracting step (step S121), information that is the same as or similar to the operation cycle information that uses the acceleration of the predetermined part as an index on the time axis is obtained from the operation information of the object over time that is the information that uses the acceleration of the object as an index. To extract.
  • step S122 In the identification step (step S122), the operation indicated by the extracted identical or similar information is identified as a repetitive operation.
  • step S123 (3-1) Acquisition process (step S123a) In the acquisition step (step S123a), with respect to the target or non-target motion, time-dependent position information using the position of the predetermined part as an index and time-dependent acceleration information using the acceleration of the predetermined part as an index are acquired. .
  • step S123b Cycle setting process
  • position information between an arbitrary start point and end point is set as position information of one cycle from the position information with time.
  • step S123c In the second extraction step (step S123c), position information that is the same as or similar to the position information of one cycle on the time axis is extracted from the position information with time.
  • Second identification step (step S123d) In the second identification step (step S123d), the extracted identical or similar position information is identified as a repetitive operation.
  • step S123e In the calculation step (step S123e), a correlation between position information and acceleration information is calculated for the identified repetitive motion.
  • step S123f In the second setting step (step S123f), based on the calculated correlation, acceleration information derived from the position information of the one cycle is set as the acceleration information of the one cycle.
  • the identification system (identification device) is large. It tends to be a thing.
  • the position information using the position of the predetermined portion as an index is replaced with acceleration information using the acceleration of the predetermined portion as an index, the apparatus can be reduced in size, but it is not easy to completely replace it.
  • the identification system and the identification device of the present embodiment the position information and the acceleration information are acquired, and the repetitive motion identified therefrom is based on the correlation between the position information and the acceleration information. By setting the acceleration information, the position information can be acquired only once, which is more convenient.
  • the program of the present embodiment is a program that can execute the above-described identification method on a computer.
  • the program of this embodiment may be recorded on a computer-readable recording medium, for example.
  • the recording medium is not particularly limited, and examples thereof include a random access memory (RAM), a read-only memory (ROM), a hard disk (HD), an optical disk, and a floppy (registered trademark) disk (FD).
  • the same or similar operation cycle can be extracted from the operation information of the target over time, and can be identified as a repetitive operation. For this reason, for example, it can be said that it is a very useful technique in the field of learning such as know-how.
  • Identification means 123 Setting means 123a Acquisition means 123b Cycle setting means 123c Second extraction means 123d Second identification means 123e Calculation means 123f Second setting means

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Abstract

The present invention provides a novel identification system which can extract a cycle of the identical or similar behavior from time-based behavior information about a target so as to identify the behavior as a repeated behavior. An identification system (10) according to the present invention is characterized by comprising: a storage means (11) including time-based behavior information about a target; an extraction means (121) for extracting, from the time-based behavior information about the target, information identical or similar to predetermined behavior cycle information in terms of the time axis; and an identification means (122) for identifying, as a repeated behavior, a behavior indicated by the extracted identical or similar information.

Description

同定システム、同定方法、プログラム、および記録媒体IDENTIFICATION SYSTEM, IDENTIFICATION METHOD, PROGRAM, AND RECORDING MEDIUM
　本発明は、同定システム、同定方法、プログラム、および記録媒体に関する。 The present invention relates to an identification system, an identification method, a program, and a recording medium.
　熟練者と初心者とが同じ動作を行った場合でも、両者において、効率や動作により得られる結果が異なるのが一般的である。このため、初心者が熟練者の動作を学び、動作の効率や動作による結果を向上させることが望まれる。しかし、実際には、初心者が熟練者の動きのどこにポイントがあるのかを見出すことは困難で、簡単にはまねることができない。 熟練 Even when a skilled person and a beginner perform the same action, the result obtained by efficiency and action is generally different between the two. For this reason, it is desired that a beginner learns the operation of an expert and improves the efficiency of the operation and the result of the operation. However, in practice, it is difficult for beginners to find out where the point is in the movement of the expert, and it cannot be easily imitated.
　他方、人の一連の動きにおいては、同じ動作が繰り返されることがある。このため、同一人物における同一または類似の動作の繰り返しや、熟練者および初心者の両者におけるそれぞれの同一または類似の動作の繰り返しを同定できれば、それらを比較するのに便利である。 On the other hand, the same action may be repeated in a series of human movements. For this reason, if the repetition of the same or similar operation in the same person and the repetition of the same or similar operation in both the expert and the beginner can be identified, it is convenient to compare them.
　そこで、本発明は、対象の経時的な動作情報から、同一または類似の動作サイクルを抽出し、繰り返し動作として同定可能な、新たな同定システム、同定方法、プログラム、および記録媒体の提供を目的とする。 Therefore, the present invention aims to provide a new identification system, identification method, program, and recording medium capable of extracting the same or similar operation cycle from the operation information of the target over time and identifying it as a repetitive operation. To do.
　前記目的を達成するために、本発明の繰り返し動作の同定システムは、
対象の経時的な動作情報を含む記憶手段、
前記対象の経時的な動作情報から、時間軸において、所定の動作サイクル情報と同一または類似の情報を抽出する抽出手段、
前記抽出された同一または類似の情報が示す動作を、繰り返し動作として同定する同定手段を含むことを特徴とする。 In order to achieve the above object, the repetitive motion identification system of the present invention comprises:
Storage means including information on the operation of the subject over time;
Extraction means for extracting information identical or similar to predetermined operation cycle information on the time axis from the time-dependent operation information of the object;
It includes an identifying means for identifying an operation indicated by the extracted identical or similar information as a repetitive operation.
　本発明の繰り返し動作の同定方法は、
対象の経時的な動作情報から、時間軸において、所定の動作サイクル情報と同一または類似の情報を抽出する抽出工程、
前記抽出した同一または類似の情報が示す動作を、繰り返し動作として同定する同定工程を含むことを特徴とする。 The identification method of the repetitive motion of the present invention is as follows:
An extraction step for extracting information identical or similar to predetermined operation cycle information on the time axis from the operation information of the target over time;
The method includes an identification step of identifying an operation indicated by the extracted identical or similar information as a repetitive operation.
　本発明のプログラムは、前記本発明の同定方法をコンピュータ上で実行可能なことを特徴とする。 The program of the present invention is characterized in that the identification method of the present invention can be executed on a computer.
　本発明のコンピュータ読み取り可能な記録媒体は、前記本発明のプログラムを記録していることを特徴とする。 The computer-readable recording medium of the present invention records the program of the present invention.
　本発明によれば、対象の経時的な動作情報から、所定の動作サイクルを抽出し、繰り返し動作として同定できる。 According to the present invention, it is possible to extract a predetermined operation cycle from the operation information of the target over time and identify it as a repetitive operation.
図１は、本発明の同定システムの一例（実施形態１）を示すブロック図である。FIG. 1 is a block diagram showing an example (Embodiment 1) of the identification system of the present invention. 図２は、本発明の同定方法の一例（実施形態１）を示すフローチャートである。FIG. 2 is a flowchart showing an example (Embodiment 1) of the identification method of the present invention. 図３は、本発明の同定システムの一例（実施形態２）を示すブロック図である。FIG. 3 is a block diagram showing an example (Embodiment 2) of the identification system of the present invention. 図４は、本発明の同定方法の一例（実施形態２）を示すフローチャートである。FIG. 4 is a flowchart showing an example (Embodiment 2) of the identification method of the present invention. 図５は、本発明の同定システムの一例（実施形態３）を示すブロック図である。FIG. 5 is a block diagram showing an example (Embodiment 3) of the identification system of the present invention. 図６は、本発明の同定方法の一例（実施形態３）を示すフローチャートである。FIG. 6 is a flowchart showing an example (third embodiment) of the identification method of the present invention.
　本発明の同定システムおよび同定方法において、例えば、前記動作情報の指標は、前記対象の所定部の位置である。 In the identification system and identification method of the present invention, for example, the motion information index is the position of the predetermined portion of the target.
　本発明の同定システムおよび同定方法において、例えば、前記動作情報の指標は、前記所定部の位置を示す空間座標である。 In the identification system and identification method of the present invention, for example, the motion information index is a spatial coordinate indicating the position of the predetermined portion.
　本発明の同定システムおよび同定方法において、例えば、前記対象の所定部は、身体の関節である。 In the identification system and the identification method of the present invention, for example, the predetermined portion of the target is a body joint.
　本発明の同定システムおよび同定方法において、例えば、前記動作情報の指標は、前記対象における任意の固定点に対する移動点の軌跡である。 In the identification system and identification method of the present invention, for example, the motion information index is a trajectory of a moving point with respect to an arbitrary fixed point in the object.
　本発明の同定システムおよび同定方法において、例えば、前記動作情報の指標は、前記対象における任意の固定点と移動点とをつなぐ直線軸の距離である。 In the identification system and the identification method of the present invention, for example, the motion information index is a distance of a linear axis connecting an arbitrary fixed point and a moving point in the target.
　本発明の同定システムおよび同定方法において、例えば、前記固定点は、肩関節であり、前記移動点は、手首である。 In the identification system and identification method of the present invention, for example, the fixed point is a shoulder joint, and the moving point is a wrist.
　本発明の同定システムは、例えば、さらに、前記動作サイクル情報を設定する設定手段を含み、前記設定手段は、前記対象または非対象の経時的な動作情報において、任意の始点と終点との間の動作情報を、１サイクルの動作サイクル情報として設定する。また、本発明の同定方法は、例えば、さらに、前記動作サイクル情報を設定する設定工程を含み、前記設定工程において、前記対象または非対象の経時的な動作情報において、任意の始点と終点との間の動作情報を、１サイクルの動作サイクル情報として設定する。 The identification system of the present invention further includes, for example, a setting unit that sets the operation cycle information, and the setting unit includes a time interval between an arbitrary start point and an end point in the target or non-target time-dependent operation information. The operation information is set as one cycle operation cycle information. In addition, the identification method of the present invention further includes, for example, a setting step for setting the operation cycle information. In the setting step, in the operation information over time of the target or non-target, an arbitrary start point and end point are set. The operation information is set as one cycle operation cycle information.
　本発明の同定システムにおいて、例えば、前記設定手段は、前記対象の経時的な動作情報において、任意の始点と終点との間における動作情報を、１サイクルの動作サイクル情報として設定する。また、本発明の同定方法では、例えば、前記設定工程において、前記対象の経時的な動作情報において、任意の始点と終点との間における動作情報を、１サイクルの動作サイクル情報として設定する。 In the identification system of the present invention, for example, the setting means sets operation information between an arbitrary start point and end point as operation cycle information of one cycle in the operation information of the target over time. In the identification method of the present invention, for example, in the setting step, operation information between an arbitrary start point and end point is set as operation cycle information of one cycle in the operation information of the target with time.
　本発明の同定システムでは、例えば、
前記記憶手段において、前記対象の経時的な動作情報は、前記対象の所定部の加速度を指標とする情報であり、
前記抽出手段において、前記所定の動作サイクル情報は、前記所定部の加速度を指標とする情報であり、
前記設定手段は、
　前記対象または前記非対象の動作について、前記所定部の位置を指標とする経時的な位置情報と、前記所定部の加速度を指標とする経時的な加速度情報とを取得する取得手段、
　前記経時的な位置情報から、任意の始点と終点との間における位置情報を１サイクルの位置情報として設定するサイクル設定手段、
　前記経時的な位置情報から、時間軸において、前記１サイクルの位置情報と同一または類似の位置情報を抽出する抽出手段、
　前記抽出された同一または類似の位置情報を、繰り返し動作として同定する同定手段、
　前記同定された繰り返し動作について、位置情報と加速度情報との相関関係を算出する算出手段、および、
　前記算出された相関関係に基づいて、前記１サイクルの位置情報から導き出される加速度情報を、前記１サイクルの加速度情報として設定する設定手段を含む。 In the identification system of the present invention, for example,
In the storage means, the temporal motion information of the target is information using an acceleration of a predetermined part of the target as an index,
In the extracting means, the predetermined operation cycle information is information using the acceleration of the predetermined portion as an index,
The setting means includes
Acquisition means for acquiring time-dependent position information using the position of the predetermined part as an index and time-dependent acceleration information using the acceleration of the predetermined part as an index for the target or non-target movement;
Cycle setting means for setting position information between an arbitrary start point and end point as position information of one cycle from the position information with time,
Extraction means for extracting position information that is the same as or similar to the position information of one cycle on the time axis from the position information over time;
Identification means for identifying the extracted identical or similar position information as a repetitive action;
A calculating means for calculating a correlation between position information and acceleration information for the identified repetitive motion; and
Setting means for setting acceleration information derived from the one-cycle position information as the one-cycle acceleration information based on the calculated correlation.
　また、本発明の同定方法は、例えば、
前記対象の経時的な動作情報が、前記対象の所定部の加速度を指標とする情報であり、
前記抽出工程において、前記所定の動作サイクル情報は、前記所定部の加速度を指標とする情報であり、
前記設定工程は、
　前記対象または前記非対象の動作について、前記所定部の位置を指標とする経時的な位置情報と、前記所定部の加速度を指標とする経時的な加速度情報を取得する取得工程、
　前記経時的な位置情報から、任意の始点と終点との間における位置情報を１サイクルの位置情報として設定するサイクル設定工程、
　前記経時的な位置情報から、時間軸において、前記１サイクルの位置情報と同一または類似の位置情報を抽出する抽出工程、
　前記抽出した同一または類似の位置情報を、繰り返し動作として同定する同定工程、
　前記同定した繰り返し動作について、位置情報と加速度情報との相関関係を算出する算出工程、および、
　前記算出した相関関係に基づいて、前記１サイクルの位置情報から導き出される加速度情報を、前記１サイクルの加速度情報として設定する設定工程を含む。 The identification method of the present invention is, for example,
The movement information of the object over time is information using the acceleration of a predetermined part of the object as an index,
In the extraction step, the predetermined operation cycle information is information using the acceleration of the predetermined portion as an index,
The setting step includes
An acquisition step of acquiring time-dependent positional information using the position of the predetermined part as an index and time-dependent acceleration information using the acceleration of the predetermined part as an index for the target or non-target movement;
A cycle setting step for setting position information between an arbitrary start point and end point as position information of one cycle from the position information with time;
An extraction step of extracting position information that is the same as or similar to the position information of one cycle on the time axis from the position information with time;
An identification step for identifying the extracted identical or similar position information as a repetitive action;
A calculation step for calculating a correlation between position information and acceleration information for the identified repetitive motion, and
A setting step of setting acceleration information derived from the position information of the one cycle as the acceleration information of the one cycle based on the calculated correlation.
　つぎに、本発明の実施形態について、図を用いて説明する。本発明は、以下の実施形態によって何ら限定および制限されない。以下の図１から図６において、同一部分には、同一符号を付している。また、各実施形態の説明は、特に言及がない限り、互いの説明を援用でき、さらに、組合せ可能である。 Next, an embodiment of the present invention will be described with reference to the drawings. The present invention is not limited or restricted by the following embodiments. In the following FIG. 1 to FIG. 6, the same parts are denoted by the same reference numerals. Moreover, the description of each embodiment can use each other's description, and can be combined, unless there is particular mention.
［実施形態１］
　実施形態１は、本発明の同定システムおよび同定方法に関する。 [Embodiment 1]
Embodiment 1 relates to an identification system and an identification method of the present invention.
　図１に、本実施形態における同定システムのブロック図を示す。図１に示すように、本実施形態の同定システム１０は、記憶手段１１、抽出手段１２１、および同定手段１２２を含む。抽出手段１２１および同定手段１２２は、例えば、図１に示すように、ハードウェアである処理手段（処理装置）１２に組み込まれてもよく、ソフトウェアまたは前記ソフトウェアが組み込まれたハードウェアでもよい。処理手段１２は、中央演算装置（ＣＰＵ）等を備えてもよい。本実施形態の同定システム１０において、記憶手段１１は、抽出手段１２１に、抽出手段１２１は、同定手段１２２に、それぞれ、電気的に接続されている。本実施形態の同定システム１０は、記憶手段１１、抽出手段１２１、および同定手段１２２を一体として含むため、例えば、同定装置ということもできる。 FIG. 1 shows a block diagram of the identification system in the present embodiment. As shown in FIG. 1, the identification system 10 of this embodiment includes a storage unit 11, an extraction unit 121, and an identification unit 122. For example, as shown in FIG. 1, the extraction unit 121 and the identification unit 122 may be incorporated in a processing unit (processing device) 12 that is hardware, or may be software or hardware in which the software is incorporated. The processing means 12 may include a central processing unit (CPU). In the identification system 10 of this embodiment, the storage unit 11 is electrically connected to the extraction unit 121, and the extraction unit 121 is electrically connected to the identification unit 122. Since the identification system 10 of the present embodiment includes the storage unit 11, the extraction unit 121, and the identification unit 122 as one body, it can also be referred to as an identification device, for example.
　記憶手段１１は、対象の経時的な動作情報を含む。記憶手段１１は、例えば、ランダムアクセスメモリ（ＲＡＭ）、読み出し専用メモリ（ＲＯＭ）、フラッシュメモリー、ハードディスク（ＨＤ）、光ディスク、フロッピー（登録商標）ディスク（ＦＤ）等があげられる。記憶手段１１は、装置内蔵型であってもよいし、外部記憶装置のような外付け型であってもよい。前記対象は、特に制限されず、例えば、同定システム１０を用いて、繰り返し動作を同定する対象であり、任意の対象とできる。前記繰り返し動作として、例えば、ボートのオールを漕ぐ動作における繰り返し動作を同定する場合、前記対象は、例えば、ボートを漕ぐ人等があげられる。前記繰り返し動作として、例えば、釣りの際に魚を誘う動作における繰り返し動作を同定する場合、前記対象は、例えば、釣り人等があげられる。前記繰り返し動作の詳細については、後述する。前記動作情報の種類は、特に制限されず、例えば、２次元または３次元の映像等の動作映像、センサ等により取得した２次元または３次元の動作センサデータ、動作分析表等により分析された動作分析データ等があげられる。前記対象の経時的な動作情報は、例えば、マイクロソフト社製のＫＩＮＥＣＴ（登録商標）、Ｎｏｉｔｏｍ社製のＰｅｒｃｅｐｔｉｏｎ　Ｎｅｕｒｏｎ等のモーションキャプチャにより得られるデータであってもよい。 The storage unit 11 includes the operation information of the target over time. Examples of the storage means 11 include a random access memory (RAM), a read only memory (ROM), a flash memory, a hard disk (HD), an optical disk, and a floppy (registered trademark) disk (FD). The storage unit 11 may be a device built-in type or an external type such as an external storage device. The object is not particularly limited, and is an object for identifying a repetitive operation using the identification system 10, for example, and can be an arbitrary object. For example, when identifying a repetitive motion in a motion of rowing all of the boats as the repetitive motion, the object may be, for example, a person rowing a boat. As the repetitive operation, for example, when identifying a repetitive operation in an operation of inviting a fish during fishing, the target is, for example, a fisherman. Details of the repetitive operation will be described later. The type of the motion information is not particularly limited, for example, motion video such as 2D or 3D video, 2D or 3D motion sensor data acquired by a sensor, motion analyzed by a motion analysis table, etc. Analytical data, etc. The operation information of the target over time may be data obtained by motion capture, such as KINECT (registered trademark) manufactured by Microsoft Corporation, Perception Neuron manufactured by Noitom Corporation, or the like.
　抽出手段１２１は、前記対象の経時的な動作情報から、時間軸において、所定の動作サイクル情報と同一または類似の情報を抽出する。抽出手段１２１は、例えば、前記ＣＰＵ等があげられる。前記時間軸は、例えば、前記対象の経時的な動作情報における時間軸である。前記所定の動作サイクル情報は、特に制限されず、例えば、予め設定した動作サイクル情報でもよいし、予め前記対象の動作情報または非対象の動作情報から抽出した動作サイクル情報でもよい。前記所定の動作サイクル情報としては、具体例としては、以下のようなものがあげられる。ボートのオールを漕ぐ動作の場合、例えば、膝を曲げ、腕を伸ばした状態でオールの先を水につけるキャッチを始点とし、ストローク（ドライブ）、フィニッシュ、ハンズアウェイおよびフォワードを経て、キャッチの体勢に戻った時点を終点とし、前記始点から終点までの動きの情報を、動作サイクル情報とすることができる。前記動作サイクル情報は、例えば、熟練者の動作から決定してもよいし、初心者の動作から決定してもよい。 The extraction means 121 extracts information that is the same as or similar to predetermined operation cycle information on the time axis from the time-dependent operation information of the target. Examples of the extracting unit 121 include the CPU. The time axis is, for example, a time axis in the operation information with time of the object. The predetermined operation cycle information is not particularly limited, and may be, for example, preset operation cycle information, or may be operation cycle information previously extracted from the target operation information or the non-target operation information. Specific examples of the predetermined operation cycle information include the following. In the case of a rowing operation of a boat, for example, a catch that attaches the tip of the oar to the water with the knees bent and arms extended is the starting point, and after the stroke (drive), finish, hands away and forward, the posture of the catch The time point when the process returns to the end point can be set as the end point, and the motion information from the start point to the end point can be set as the operation cycle information. The operation cycle information may be determined, for example, from an expert's operation or from a beginner's operation.
　前記対象の経時的な動作情報から、時間軸において、前記所定の動作サイクル情報と同一または類似の情報を抽出する方法は、特に制限されず、前記経時的な動作情報と前記動作サイクル情報とを照合することにより行える。前記類似の範囲は、特に制限されず、例えば、より大まかな抽出を行う場合は、前記所定の動作サイクル情報に対する許容範囲をより広く設定し、より厳密な抽出を行う場合は、前記所定の動作サイクル情報に対する許容範囲をより狭く設定すればよい。 A method for extracting information that is the same as or similar to the predetermined operation cycle information on the time axis from the operation information over time of the target is not particularly limited, and the operation information over time and the operation cycle information are obtained. This can be done by collating. The similar range is not particularly limited. For example, when performing a broader extraction, an allowable range for the predetermined operation cycle information is set wider, and when performing a stricter extraction, the predetermined operation is performed. What is necessary is just to set the tolerance | permissible_range with respect to cycle information more narrowly.
　前述のとおり、前記動作情報の指標は、例えば、前記対象の所定部の位置である。前記対象の所定部は、特に制限されず、動作の種類に応じて適宜決定できる。前記所定部は、例えば、肩関節、ひじ、手首、手の指、股関節、ひざ、足首、足の指等の関節、上半身、下半身、頭部等があげられる。また、前記対象の所定部の位置は、例えば、前記所定部の位置を示す空間座標であってもよい。 As described above, the index of the motion information is, for example, the position of the predetermined portion of the target. The predetermined portion of the object is not particularly limited and can be determined as appropriate according to the type of operation. Examples of the predetermined portion include a shoulder joint, an elbow, a wrist, a finger of a hand, a hip joint, a knee, an ankle, a joint such as a toe, an upper body, a lower body, and a head. Further, the position of the predetermined portion of the target may be, for example, spatial coordinates indicating the position of the predetermined portion.
　前記動作情報の指標は、例えば、前記対象における任意の固定点に対する移動点の軌跡でもよい。前記固定点および前記移動点は、特に制限されず、動作の種類に応じて適宜決定できる。具体例として、前述のようにボートを漕ぐ動作をあげると、例えば、膝の曲げ伸ばし、肘の曲げ伸ばし、上半身の前傾後傾等の動作があるため、前記固定点を肩関節、前記移動点を手首とする組合せ、前記固定点を股関節、前記移動点をひざまたは足首とする組合せ、前記移動点を臀部、前記固定点を頸椎または頭とする組合せ等があげられる。前記固定点を肩関節、前記移動点を手首とする組合せの場合、例えば、前記移動点である手首は、前記固定点である肩関節に対して遠い位置（ひじを伸ばした状態）から、前記肩関節に対して近い位置（ひじを曲げた状態）に移動し、再度、前記肩関節に対して遠い位置（ひじを伸ばした状態）に戻る軌跡を描く。 The motion information indicator may be, for example, a trajectory of a moving point with respect to an arbitrary fixed point in the target. The fixed point and the moving point are not particularly limited and can be appropriately determined according to the type of operation. As a specific example, the rowing operation as described above includes, for example, knee bending, elbow bending, upper body leaning forward, and so on, so that the fixed point is the shoulder joint, the movement A combination with a point as a wrist, a combination with the fixation point as a hip joint, a movement point as a knee or an ankle, a combination with the movement point as a buttock, and the fixation point as a cervical vertebra or a head. In the case of a combination in which the fixed point is a shoulder joint and the moving point is a wrist, for example, the wrist that is the moving point is far from the shoulder joint that is the fixed point (the elbow is extended), It moves to a position close to the shoulder joint (the elbow is bent), and again draws a trajectory returning to a position far from the shoulder joint (the elbow is extended).
　前記動作情報の指標は、例えば、前記対象における任意の固定点と移動点とをつなぐ直線軸の距離であってもよい。具体例として、前述のようにボートを漕ぐ動作をあげると、固定点（肩関節）と移動点（手首）とをつなぐ直線軸の距離は、例えば、はじめは長く（ひじを伸ばした状態）、つぎに短くなり（ひじを曲げた状態）、再び長くなる（再度ひじを伸ばした状態）。 The motion information indicator may be, for example, a distance of a linear axis connecting an arbitrary fixed point and a moving point in the target. As a specific example, when the operation of rowing the boat as described above, the distance of the linear axis connecting the fixed point (shoulder joint) and the moving point (wrist) is, for example, long at first (a state where the elbow is extended), Then it becomes shorter (the elbow is bent) and again longer (the elbow is extended again).
　同定手段１２２は、前記抽出された同一または類似の情報が示す動作を、繰り返し情報として同定する。同定手段１２２は、例えば、前記ＣＰＵ等があげられる。 The identification means 122 identifies the operation indicated by the extracted identical or similar information as repetitive information. Examples of the identification unit 122 include the CPU.
　つぎに、図２に、本実施形態における同定方法のフローチャートを示す。本実施形態の同定方法は、例えば、図１の同定システム１０を用いて、つぎのように実施する。図２に示すように、本実施形態の同定方法は、抽出工程（ステップＳ１２１）、および同定工程（ステップＳ１２２）を含む。 Next, FIG. 2 shows a flowchart of the identification method in the present embodiment. The identification method of this embodiment is implemented as follows, for example using the identification system 10 of FIG. As shown in FIG. 2, the identification method of this embodiment includes an extraction process (step S121) and an identification process (step S122).
　まず、抽出工程（ステップＳ１２１）に先立ち、前記対象の経時的な動作情報を準備する。 First, prior to the extraction step (step S121), the time-dependent operation information of the target is prepared.
（１）抽出工程（ステップＳ１２１）
　抽出工程（ステップＳ１２１）では、前記対象の経時的な動作情報から、時間軸において、所定の動作サイクル情報と同一または類似の情報を抽出する。 (1) Extraction process (step S121)
In the extraction step (step S121), information that is the same as or similar to the predetermined operation cycle information is extracted on the time axis from the temporal operation information of the target.
（２）同定工程（ステップＳ１２２）
　同定工程（ステップＳ１２２）では、前記抽出した同一または類似の情報が示す動作を、繰り返し動作として同定する。 (2) Identification process (step S122)
In the identification step (step S122), the operation indicated by the extracted identical or similar information is identified as a repetitive operation.
　本実施形態の同定システムおよび同定方法では、対象の経時的な動作情報から、同一または類似の動作サイクルを抽出し、繰り返し動作として同定することができる。このため、ユーザは、例えば、同一人物の動作において同定した複数の繰り返し動作間の比較、動作間の相違点等を容易に把握することができる。また、ユーザは、例えば、異なる者（例えば、熟練者および初心者）のそれぞれの動作において繰り返し動作を同定し、異なる者の間の比較、異なる者の間の相違点（初心者と熟練者との相違点）を容易に把握することができる。その結果、例えば、より良い動作への修正が、より簡便に行えるようになる。なお、これらの効果については、後述の実施形態においても同様である。 In the identification system and identification method of the present embodiment, the same or similar operation cycle can be extracted from the operation information of the target over time and identified as a repetitive operation. For this reason, the user can easily grasp, for example, a comparison between a plurality of repeated actions identified in the action of the same person, a difference between actions, and the like. In addition, the user identifies, for example, repetitive actions in the actions of different persons (for example, skilled persons and beginners), compares between different persons, and differences between different persons (differences between beginners and skilled persons). Point) can be easily grasped. As a result, for example, correction to a better operation can be performed more easily. These effects are the same in the embodiments described later.
［実施形態２］
　実施形態２は、前記実施形態１において、さらに、前記所定の動作サイクル情報を設定する手段および工程を含む形態に関する。図３に、本実施形態における同定システムのブロック図を示す。図３に示すように、本実施形態の同定システム２０は、前記実施形態１の同定システム１０の各手段に加え、さらに、設定手段１２３を含む。図３に示すように、設定手段１２３は、処理手段１２に組み込まれてよい。本実施形態の同定システム２０において、設定手段１２３は、同定手段１２２に、電気的に接続されている。この点を除いて、本実施形態の同定システム２０は、実施形態１の同定システム１０と同様の構成を有し、実施形態１の同定システム１０の説明を援用できる。 [Embodiment 2]
Embodiment 2 relates to an embodiment that further includes means and steps for setting the predetermined operation cycle information in Embodiment 1. FIG. 3 shows a block diagram of the identification system in the present embodiment. As shown in FIG. 3, the identification system 20 of the present embodiment further includes a setting unit 123 in addition to the units of the identification system 10 of the first embodiment. As shown in FIG. 3, the setting unit 123 may be incorporated in the processing unit 12. In the identification system 20 of the present embodiment, the setting unit 123 is electrically connected to the identification unit 122. Except for this point, the identification system 20 of the present embodiment has the same configuration as the identification system 10 of the first embodiment, and the description of the identification system 10 of the first embodiment can be cited.
　本実施形態の同定システム２０において、例えば、設定手段１２３は、前記対象または非対象の経時的な動作情報において、任意の始点と終点との間の動作情報を、１サイクルの動作サイクル情報として設定する。すなわち、本実施形態において、前記所定の動作サイクル情報は、例えば、繰り返し動作の同定を行う「前記対象」の動作情報から得てもよいし、「前記対象とは別の非対象」の動作情報から得てもよい。前者の場合、例えば、まず、設定手段１２３により、対象者の動作情報から１サイクルの動作情報を設定することで、さらに、抽出手段１２１により、前記対象者の動作情報において、その１サイクルの動作が何回行われているかを抽出することができる。例えば、熟練者の動作を分析する場合等は、この形態により、熟練者の繰り返し動作パターンを得ることができる。また、後者の場合、例えば、まず、設定手段１２３により、対象者とは別の非対象者の動作情報から１サイクルの動作情報を設定することで、さらに、抽出手段１２１により、前記対象者の動作情報において、前記非対象者の動作情報から設定された１サイクルの動作が何回行われているかを抽出することができる。例えば、初心者の動作を分析する場合等は、この形態により、熟練者（非対象者）の１サイクルの動作情報から、初心者の繰り返し動作パターンを得ることができる。 In the identification system 20 of the present embodiment, for example, the setting unit 123 sets operation information between an arbitrary start point and end point as operation cycle information of one cycle in the operation information with time of the target or non-target. To do. That is, in the present embodiment, the predetermined operation cycle information may be obtained from, for example, the operation information of “the target” for identifying the repetitive operation, or the operation information of “non-target different from the target”. May be obtained from In the former case, for example, the setting unit 123 first sets one cycle of operation information from the target person's operation information, and the extraction unit 121 further sets the one cycle of operation information in the target person's operation information. It is possible to extract how many times are performed. For example, when analyzing an expert's operation | movement etc., the repeating operation | movement pattern of an expert can be obtained by this form. In the latter case, for example, the setting unit 123 first sets the operation information of one cycle from the operation information of the non-target person different from the target person, and the extraction unit 121 further sets the operation information of the target person. In the motion information, it is possible to extract how many times one cycle of motion set from the motion information of the non-target person is performed. For example, when analyzing a beginner's motion, etc., a repetitive motion pattern of a beginner can be obtained from one cycle of motion information of a skilled person (non-target person).
　つぎに、図４に、本実施形態における同定方法のフローチャートを示す。本実施形態の同定方法は、例えば、図３の同定システム２０を用いて、つぎのように実施する。図４に示すように、本実施形態の同定方法は、前記実施形態１の同定方法の各ステップに加え、さらに、設定工程（ステップＳ１２３）を含む。この点を除いて、本実施形態の同定方法は、実施形態１の同定方法と同様の構成を有し、実施形態１の同定方法の説明を援用できる。 Next, FIG. 4 shows a flowchart of the identification method in the present embodiment. The identification method of this embodiment is implemented as follows using the identification system 20 of FIG. 3, for example. As shown in FIG. 4, the identification method of the present embodiment further includes a setting step (step S123) in addition to the steps of the identification method of the first embodiment. Except for this point, the identification method of the present embodiment has the same configuration as the identification method of the first embodiment, and the description of the identification method of the first embodiment can be cited.
　図４における抽出工程（ステップＳ１２１）および同定工程（ステップＳ１２２）は、実施形態１と同様に行うことができ、具体的には、前述した図２のフローチャートに従って行うことができる。 The extraction process (step S121) and the identification process (step S122) in FIG. 4 can be performed in the same manner as in the first embodiment, and specifically, can be performed according to the flowchart of FIG. 2 described above.
（３）設定工程（ステップＳ１２３）
　設定工程（ステップＳ１２３）では、前記対象または非対象の経時的な動作情報において、任意の始点と終点との間の動作情報を、１サイクルの動作サイクル情報として設定する。 (3) Setting process (step S123)
In the setting step (step S123), operation information between an arbitrary start point and end point is set as one cycle operation cycle information in the target or non-target time-dependent operation information.
　本実施形態の同定システムおよび同定方法では、前記対象または非対象の経時的な動作情報において、任意の始点と終点との間の動作情報を、１サイクルの動作サイクル情報として設定する。このため、ユーザは、例えば、熟練者および初心者それぞれの１サイクルの動作サイクル情報における相違点を、より容易に見出すことが可能である。 In the identification system and identification method of the present embodiment, the operation information between an arbitrary start point and end point is set as one cycle operation cycle information in the target or non-target time-dependent operation information. For this reason, for example, the user can more easily find the difference in the operation cycle information of one cycle of each of the expert and the beginner.
［実施形態３］
　図５に、本実施形態における同定システムのブロック図を示す。図５に示すように、本実施形態の同定システム３０は、前記実施形態２の同定システム２０の設定手段１２３が、取得手段１２３ａ、サイクル設定手段１２３ｂ、第２抽出手段１２３ｃ、第２同定手段１２３ｄ、算出手段１２３ｅ、および第２設定手段１２３ｆを含む。本実施形態の同定システム３０において、取得手段１２３ａは、サイクル設定手段１２３ｂに、サイクル設定手段１２３ｂは、第２抽出手段１２３ｃに、第２抽出手段１２３ｃは、第２同定手段１２３ｄに、第２同定手段１２３ｄは、算出手段１２３ｅに、算出手段１２３ｅは、第２設定手段１２３ｆに、それぞれ、電気的に接続されている。この点を除いて、本実施形態の同定システム３０は、前記実施形態２の同定システム２０と同様の構成を有し、実施形態２の同定システム２０の説明を援用できる。 [Embodiment 3]
FIG. 5 shows a block diagram of the identification system in the present embodiment. As shown in FIG. 5, in the identification system 30 of the present embodiment, the setting unit 123 of the identification system 20 of the second embodiment includes an acquisition unit 123a, a cycle setting unit 123b, a second extraction unit 123c, and a second identification unit 123d. , Calculating means 123e, and second setting means 123f. In the identification system 30 of the present embodiment, the acquisition unit 123a is the cycle setting unit 123b, the cycle setting unit 123b is the second extraction unit 123c, the second extraction unit 123c is the second identification unit 123d, and the second identification is performed. The means 123d is electrically connected to the calculation means 123e, and the calculation means 123e is electrically connected to the second setting means 123f. Except for this point, the identification system 30 of the present embodiment has the same configuration as the identification system 20 of the second embodiment, and the description of the identification system 20 of the second embodiment can be cited.
　本実施形態の同定システム３０では、記憶手段１１における前記対象の経時的な動作情報は、前記対象の所定部の加速度を指標とする情報である。前記対象の所定部の加速度を指標とする情報は、例えば、加速度計が搭載されたスマートウォッチ等を、対象者の体の所定部（例えば、手首等の関節）に装着することで取得したものである。 In the identification system 30 of the present embodiment, the time-dependent motion information of the target in the storage unit 11 is information using the acceleration of a predetermined part of the target as an index. The information using the acceleration of the predetermined portion of the target as an index is obtained by, for example, attaching a smart watch or the like equipped with an accelerometer to a predetermined portion (for example, a joint such as a wrist) of the subject's body. It is.
　本実施形態の同定システム３０では、抽出手段１２１において、前記所定の動作サイクル情報は、前記所定部の加速度を指標とする情報である。 In the identification system 30 of the present embodiment, in the extraction unit 121, the predetermined operation cycle information is information using the acceleration of the predetermined part as an index.
　取得手段１２３ａは、前記対象または前記非対象の動作について、前記所定部の位置を指標とする経時的な位置情報と、前記所定部の加速度を指標とする経時的な加速度情報とを取得する。前記所定部の位置を指標とする経時的な位置情報は、例えば、前述のような前記所定部の位置を示す空間座標等として取得できる。また、前記所定部の加速度を指標とする経時的な加速度情報は、例えば、前述のように、加速度計が搭載されたスマートウォッチ等の装着により取得できる。 The acquisition unit 123a acquires time-dependent position information using the position of the predetermined part as an index and time-dependent acceleration information using the acceleration of the predetermined part as an index for the target or non-target movement. Position information with time using the position of the predetermined portion as an index can be acquired as, for example, spatial coordinates indicating the position of the predetermined portion as described above. Further, the time-dependent acceleration information using the acceleration of the predetermined portion as an index can be acquired by, for example, wearing a smart watch or the like equipped with an accelerometer as described above.
　サイクル設定手段１２３ｂは、前記経時的な位置情報から、任意の始点と終点との間における位置情報を１サイクルの位置情報として設定する。この設定は、例えば、実施形態２の設定手段１２３と同様にして実施できる。 The cycle setting means 123b sets position information between an arbitrary start point and end point as position information of one cycle from the position information with time. This setting can be performed, for example, in the same manner as the setting unit 123 of the second embodiment.
　第２抽出手段１２３ｃは、前記経時的な位置情報から、時間軸において、前記１サイクルの位置情報と同一または類似の位置情報を抽出する。この抽出は、例えば、実施形態１の抽出手段１２１と同様にして実施できる。本実施形態の同定システム３０において、例えば、設定手段１２３が第２抽出手段１２３ｃを含むのではなく、第２抽出手段１２３ｃの機能を、抽出手段１２１が兼ね備えていてもよい。この場合、サイクル設定手段１２３ｂは、抽出手段１２１に、電気的に接続される。 The second extraction unit 123c extracts position information that is the same as or similar to the position information of one cycle on the time axis from the position information with time. This extraction can be performed, for example, in the same manner as the extraction unit 121 of the first embodiment. In the identification system 30 of the present embodiment, for example, the setting unit 123 does not include the second extraction unit 123c, but the extraction unit 121 may have the function of the second extraction unit 123c. In this case, the cycle setting unit 123b is electrically connected to the extraction unit 121.
　第２同定手段１２３ｄは、前記抽出された同一または類似の位置情報を、繰り返し動作として同定する。この同定は、例えば、実施形態１の同定手段１２２と同様にして実施できる。本実施形態の同定システム３０において、例えば、設定手段１２３が第２同定手段１２３ｄを含むのではなく、第２同定手段１２３ｄの機能を、同定手段１２２が兼ね備えていてもよい。この場合、第２抽出手段１２３ｃは、同定手段１２２に、電気的に接続される。 The second identification unit 123d identifies the extracted identical or similar position information as a repetitive operation. This identification can be performed, for example, in the same manner as the identification unit 122 of the first embodiment. In the identification system 30 of the present embodiment, for example, the setting unit 123 does not include the second identification unit 123d, but the identification unit 122 may have the function of the second identification unit 123d. In this case, the second extraction unit 123c is electrically connected to the identification unit 122.
　算定手段１２３ｅは、前記同定された繰り返し動作について、位置情報と加速度情報との相関関係を算出する。 The calculating means 123e calculates the correlation between the position information and the acceleration information for the identified repetitive motion.
　第２設定手段１２３ｆは、前記算出された相関関係に基づいて、前記１サイクルの位置情報から導き出される加速度情報を、前記１サイクルの加速度情報として設定する。 The second setting means 123f sets the acceleration information derived from the position information of the one cycle as the acceleration information of the one cycle based on the calculated correlation.
　つぎに、図６に、本実施形態の同定方法のフローチャートを示す。本実施形態の同定方法は、例えば、図５に示す同定システム３０を用いて、つぎのように実施する。図６に示すように、本実施形態の同定方法は、抽出工程（ステップＳ１２１）、同定工程（ステップＳ１２２）、取得工程（ステップＳ１２３ａ）、サイクル設定工程（ステップＳ１２３ｂ）、第２抽出工程（ステップＳ１２３ｃ）、第２同定工程（ステップＳ１２３ｄ）、算出工程（ステップＳ１２３ｅ）、および第２設定工程（ステップＳ１２３ｆ）を含む。 Next, FIG. 6 shows a flowchart of the identification method of the present embodiment. The identification method of this embodiment is implemented as follows, for example using the identification system 30 shown in FIG. As shown in FIG. 6, the identification method of the present embodiment includes an extraction process (step S121), an identification process (step S122), an acquisition process (step S123a), a cycle setting process (step S123b), and a second extraction process (step S123c), a second identification step (step S123d), a calculation step (step S123e), and a second setting step (step S123f).
　まず、抽出工程（ステップＳ１２１）に先立ち、前記対象の経時的な動作情報を準備する。前記対象の経時的な動作情報は、前記対象の加速度を指標とする情報である。 First, prior to the extraction step (step S121), the time-dependent operation information of the target is prepared. The movement information of the object over time is information using the acceleration of the object as an index.
（１）抽出工程（ステップＳ１２１）
　抽出工程（ステップＳ１２１）では、前記対象の加速度を指標とする情報である前記対象の経時的な動作情報から、時間軸において、所定部の加速度を指標とする動作サイクル情報と同一または類似の情報を抽出する。 (1) Extraction process (step S121)
In the extracting step (step S121), information that is the same as or similar to the operation cycle information that uses the acceleration of the predetermined part as an index on the time axis is obtained from the operation information of the object over time that is the information that uses the acceleration of the object as an index. To extract.
（２）同定工程（ステップＳ１２２）
　同定工程（ステップＳ１２２）では、前記抽出した同一または類似の情報が示す動作を、繰り返し動作として同定する。 (2) Identification process (step S122)
In the identification step (step S122), the operation indicated by the extracted identical or similar information is identified as a repetitive operation.
（３）設定工程（ステップＳ１２３）
（３－１）取得工程（ステップＳ１２３ａ）
　取得工程（ステップＳ１２３ａ）では、前記対象または非対象の動作について、前記所定部の位置を指標とする経時的な位置情報と、前記所定部の加速度を指標とする経時的な加速度情報を取得する。 (3) Setting process (step S123)
(3-1) Acquisition process (step S123a)
In the acquisition step (step S123a), with respect to the target or non-target motion, time-dependent position information using the position of the predetermined part as an index and time-dependent acceleration information using the acceleration of the predetermined part as an index are acquired. .
（３－２）サイクル設定工程（ステップＳ１２３ｂ）
　サイクル設定工程（ステップＳ１２３ｂ）では、前記経時的な位置情報から、任意の始点と終点との間における位置情報を１サイクルの位置情報として設定する。 (3-2) Cycle setting process (step S123b)
In the cycle setting step (step S123b), position information between an arbitrary start point and end point is set as position information of one cycle from the position information with time.
（３－３）第２抽出工程（ステップＳ１２３ｃ）
　第２抽出工程（ステップＳ１２３ｃ）では、前記経時的な位置情報から、時間軸において、前記１サイクルの位置情報と同一または類似の位置情報を抽出する。 (3-3) Second extraction step (step S123c)
In the second extraction step (step S123c), position information that is the same as or similar to the position information of one cycle on the time axis is extracted from the position information with time.
（３－４）第２同定工程（ステップＳ１２３ｄ）
　第２同定工程（ステップＳ１２３ｄ）では、前記抽出した同一または類似の位置情報を、繰り返し動作として同定する。 (3-4) Second identification step (step S123d)
In the second identification step (step S123d), the extracted identical or similar position information is identified as a repetitive operation.
（３－５）算出工程（ステップＳ１２３ｅ）
　算出工程（ステップＳ１２３ｅ）では、前記同定した繰り返し動作について、位置情報と加速度情報との相関関係を算出する。 (3-5) Calculation step (step S123e)
In the calculation step (step S123e), a correlation between position information and acceleration information is calculated for the identified repetitive motion.
（３－６）第２設定工程（ステップＳ１２３ｆ）
　第２設定工程（ステップＳ１２３ｆ）では、前記算出した相関関係に基づいて、前記１サイクルの位置情報から導き出される加速度情報を、前記１サイクルの加速度情報として設定する。 (3-6) Second setting step (step S123f)
In the second setting step (step S123f), based on the calculated correlation, acceleration information derived from the position information of the one cycle is set as the acceleration information of the one cycle.
　例えば、前述の動作映像、動作センサデータ、動作分析データ、モーションキャプチャ等における前記対象の所定部の位置を示す空間座標等の位置情報を用いる実施形態２では、同定システム（同定装置）が大がかりなものとなる傾向にある。一方、前記所定部の位置を指標とする位置情報を、前記所定部の加速度を指標とする加速度情報に置き換えられれば、装置を小型化できるものの、これを完全に置換するのは容易でない。これに対し、本実施形態の同定システムおよび同定装置では、前記位置情報および前記加速度情報を取得し、それらから同定した繰り返し動作について、前記位置情報と前記加速度情報との相関関係に基づいて、前記加速度情報を設定することで、前記位置情報の取得を一度で済ませることができるため、より利便性が高い。 For example, in the second embodiment that uses position information such as spatial coordinates indicating the position of the predetermined portion of the target in the aforementioned motion video, motion sensor data, motion analysis data, motion capture, and the like, the identification system (identification device) is large. It tends to be a thing. On the other hand, if the position information using the position of the predetermined portion as an index is replaced with acceleration information using the acceleration of the predetermined portion as an index, the apparatus can be reduced in size, but it is not easy to completely replace it. On the other hand, in the identification system and the identification device of the present embodiment, the position information and the acceleration information are acquired, and the repetitive motion identified therefrom is based on the correlation between the position information and the acceleration information. By setting the acceleration information, the position information can be acquired only once, which is more convenient.
［実施形態４］
　本実施形態のプログラムは、前述の同定方法を、コンピュータ上で実行可能なプログラムである。本実施形態のプログラムは、例えば、コンピュータ読み取り可能な記録媒体に記録されてもよい。前記記録媒体としては、特に限定されず、例えば、ランダムアクセスメモリ（ＲＡＭ）、読み出し専用メモリ（ＲＯＭ）、ハードディスク（ＨＤ）、光ディスク、フロッピー（登録商標）ディスク（ＦＤ）等があげられる。 [Embodiment 4]
The program of the present embodiment is a program that can execute the above-described identification method on a computer. The program of this embodiment may be recorded on a computer-readable recording medium, for example. The recording medium is not particularly limited, and examples thereof include a random access memory (RAM), a read-only memory (ROM), a hard disk (HD), an optical disk, and a floppy (registered trademark) disk (FD).
　以上、実施形態を参照して本発明を説明したが、本発明は、上記実施形態に限定されるものではない。本発明の構成や詳細には、本発明のスコープ内で当業者が理解しうる様々な変更をできる。 As mentioned above, although this invention was demonstrated with reference to embodiment, this invention is not limited to the said embodiment. Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.
　この出願は、２０１６年６月２８日に出願された日本出願特願２０１６－１２８１７７を基礎とする優先権を主張し、その開示の全てをここに取り込む。 This application claims priority based on Japanese Patent Application No. 2016-128177 filed on June 28, 2016, the entire disclosure of which is incorporated herein.
　本発明によれば、対象の経時的な動作情報から、同一または類似の動作サイクルを抽出し、繰り返し動作として同定できる。このため、例えば、ノウハウ等の学習等の分野において、極めて有用な技術といえる。 According to the present invention, the same or similar operation cycle can be extracted from the operation information of the target over time, and can be identified as a repetitive operation. For this reason, for example, it can be said that it is a very useful technique in the field of learning such as know-how.
１０、２０、３０　同定システム
１１　　　　　　　記憶手段
１２　　　　　　　処理手段
１２１　　　　　　抽出手段
１２２　　　　　　同定手段
１２３　　　　　　設定手段
１２３ａ　　　　　取得手段
１２３ｂ　　　　　サイクル設定手段
１２３ｃ　　　　　第２抽出手段
１２３ｄ　　　　　第２同定手段
１２３ｅ　　　　　算出手段
１２３ｆ　　　　　第２設定手段

  10, 20, 30 Identification system 11 Storage means 12 Processing means 121 Extraction means 122 Identification means 123 Setting means 123a Acquisition means 123b Cycle setting means 123c Second extraction means 123d Second identification means 123e Calculation means 123f Second setting means

Claims (22)

  1. 対象の経時的な動作情報を含む記憶手段、
    前記対象の経時的な動作情報から、時間軸において、所定の動作サイクル情報と同一または類似の情報を抽出する抽出手段、
    前記抽出された同一または類似の情報が示す動作を、繰り返し動作として同定する同定手段を含むことを特徴とする、繰り返し動作の同定システム。     Storage means including information on the operation of the subject over time;
    Extraction means for extracting information identical or similar to predetermined operation cycle information on the time axis from the time-dependent operation information of the object;
    An identification system for a repetitive motion, comprising: an identifying unit that identifies the motion indicated by the extracted identical or similar information as a repetitive motion.
  2. 前記動作情報の指標が、前記対象の所定部の位置である、請求項１記載の同定システム。 The identification system according to claim 1, wherein the index of the motion information is a position of a predetermined portion of the target.
  3. 前記動作情報の指標が、前記所定部の位置を示す空間座標である、請求項２記載の同定システム。 The identification system according to claim 2, wherein the index of the motion information is a spatial coordinate indicating a position of the predetermined portion.
  4. 前記対象の所定部が、身体の関節である、請求項２または３記載の同定システム。 The identification system according to claim 2, wherein the predetermined part of the object is a body joint.
  5. 前記動作情報の指標が、前記対象における任意の固定点に対する移動点の軌跡である、請求項２から４のいずれか一項に記載の同定システム。 The identification system according to any one of claims 2 to 4, wherein the index of the motion information is a locus of a moving point with respect to an arbitrary fixed point in the target.
  6. 前記動作情報の指標が、前記対象における任意の固定点と移動点とをつなぐ直線軸の距離である、請求項２から４のいずれか一項に記載の同定システム。 The identification system according to any one of claims 2 to 4, wherein the motion information index is a distance of a linear axis connecting an arbitrary fixed point and a moving point in the object.
  7. 前記固定点が、肩関節であり、前記移動点が、手首である、請求項５または６記載の同定システム。 The identification system according to claim 5 or 6, wherein the fixed point is a shoulder joint, and the moving point is a wrist.
  8. さらに、前記動作サイクル情報を設定する設定手段を含み、
    前記設定手段は、前記対象または非対象の経時的な動作情報において、任意の始点と終点との間の動作情報を、１サイクルの動作サイクル情報として設定する、請求項１から７のいずれか一項に記載の同定システム。     In addition, setting means for setting the operation cycle information,
    The said setting means sets the operation information between arbitrary start points and end points as the operation cycle information of one cycle in the above-mentioned target or non-target operation information over time. The identification system according to item.
  9. 前記設定手段は、前記対象の経時的な動作情報において、任意の始点と終点との間における動作情報を、１サイクルの動作サイクル情報として設定する、請求項８記載の同定システム。 9. The identification system according to claim 8, wherein the setting means sets operation information between an arbitrary start point and an end point as operation cycle information of one cycle in the operation information of the target with time.
  10. 前記記憶手段において、前記対象の経時的な動作情報は、前記対象の所定部の加速度を指標とする情報であり、
    前記抽出手段において、前記所定の動作サイクル情報は、前記所定部の加速度を指標とする情報であり、
    前記設定手段は、
    　前記対象または前記非対象の動作について、前記所定部の位置を指標とする経時的な位置情報と、前記所定部の加速度を指標とする経時的な加速度情報とを取得する取得手段、
    　前記経時的な位置情報から、任意の始点と終点との間における位置情報を１サイクルの位置情報として設定するサイクル設定手段、
    　前記経時的な位置情報から、時間軸において、前記１サイクルの位置情報と同一または類似の位置情報を抽出する抽出手段、
    　前記抽出された同一または類似の位置情報を、繰り返し動作として同定する同定手段、
    　前記同定された繰り返し動作について、位置情報と加速度情報との相関関係を算出する算出手段、および、
    　前記算出された相関関係に基づいて、前記１サイクルの位置情報から導き出される加速度情報を、前記１サイクルの加速度情報として設定する設定手段を含む、請求項８または９記載の同定システム。     In the storage means, the temporal motion information of the target is information using an acceleration of a predetermined part of the target as an index,
    In the extracting means, the predetermined operation cycle information is information using the acceleration of the predetermined portion as an index,
    The setting means includes
    Acquisition means for acquiring time-dependent position information using the position of the predetermined part as an index and time-dependent acceleration information using the acceleration of the predetermined part as an index for the target or non-target movement;
    Cycle setting means for setting position information between an arbitrary start point and end point as position information of one cycle from the position information with time,
    Extraction means for extracting position information that is the same as or similar to the position information of one cycle on the time axis from the position information over time;
    Identification means for identifying the extracted identical or similar position information as a repetitive action;
    A calculating means for calculating a correlation between position information and acceleration information for the identified repetitive motion; and
    10. The identification system according to claim 8, further comprising setting means for setting acceleration information derived from the position information of the one cycle based on the calculated correlation as the acceleration information of the one cycle.
  11. 対象の経時的な動作情報から、時間軸において、所定の動作サイクル情報と同一または類似の情報を抽出する抽出工程、
    前記抽出した同一または類似の情報が示す動作を、繰り返し動作として同定する同定工程を含むことを特徴とする、繰り返し動作の同定方法。     An extraction step for extracting information identical or similar to predetermined operation cycle information on the time axis from the operation information of the target over time;
    A method for identifying a repetitive motion, comprising: an identifying step for identifying the motion indicated by the extracted identical or similar information as a repetitive motion.
  12. 前記動作情報の指標が、前記対象の所定部の位置である、請求項１１記載の同定方法。 The identification method according to claim 11, wherein the index of the motion information is a position of a predetermined part of the target.
  13. 前記動作情報の指標が、前記所定部の位置を示す空間座標である、請求項１２記載の同定方法。 The identification method according to claim 12, wherein the motion information index is a spatial coordinate indicating a position of the predetermined portion.
  14. 前記対象の所定部が、身体の関節である、請求項１２または１３記載の同定方法。 The identification method according to claim 12 or 13, wherein the predetermined part of the object is a joint of a body.
  15. 前記動作情報の指標が、前記対象における任意の固定点に対する移動点の軌跡である、請求項１２から１４のいずれか一項に記載の同定方法。 The identification method according to claim 12, wherein the motion information index is a locus of a moving point with respect to an arbitrary fixed point in the object.
  16. 前記動作情報の指標が、前記対象における任意の固定点と移動点とをつなぐ直線軸の距離である、請求項１２から１４のいずれか一項に記載の同定方法。 The identification method according to any one of claims 12 to 14, wherein the index of the motion information is a distance of a linear axis connecting an arbitrary fixed point and a moving point in the object.
  17. 前記固定点が、肩関節であり、前記移動点が、手首である、請求項１５または１６記載の同定方法。 The identification method according to claim 15 or 16, wherein the fixed point is a shoulder joint, and the moving point is a wrist.
  18. さらに、前記動作サイクル情報を設定する設定工程を含み、
    前記設定工程において、前記対象または非対象の経時的な動作情報において、任意の始点と終点との間の動作情報を、１サイクルの動作サイクル情報として設定する、請求項１１から１７のいずれか一項に記載の同定方法。     Furthermore, a setting step for setting the operation cycle information is included,
    18. The operation information between an arbitrary start point and an end point is set as operation cycle information of one cycle in the time-dependent operation information of the target or non-target in the setting step. The identification method according to Item.
  19. 前記設定工程において、前記対象の経時的な動作情報において、任意の始点と終点との間における動作情報を、１サイクルの動作サイクル情報として設定する、請求項１８記載の同定方法。 19. The identification method according to claim 18, wherein in the setting step, operation information between an arbitrary start point and end point is set as operation cycle information of one cycle in the operation information of the target with time.
  20. 前記対象の経時的な動作情報が、前記対象の所定部の加速度を指標とする情報であり、
    前記抽出工程において、前記所定の動作サイクル情報は、前記所定部の加速度を指標とする情報であり、
    前記設定工程は、
    　前記対象または前記非対象の動作について、前記所定部の位置を指標とする経時的な位置情報と、前記所定部の加速度を指標とする経時的な加速度情報を取得する取得工程、
    　前記経時的な位置情報から、任意の始点と終点との間における位置情報を１サイクルの位置情報として設定するサイクル設定工程、
    　前記経時的な位置情報から、時間軸において、前記１サイクルの位置情報と同一または類似の位置情報を抽出する抽出工程、
    　前記抽出した同一または類似の位置情報を、繰り返し動作として同定する同定工程、
    　前記同定した繰り返し動作について、位置情報と加速度情報との相関関係を算出する算出工程、および、
    　前記算出した相関関係に基づいて、前記１サイクルの位置情報から導き出される加速度情報を、前記１サイクルの加速度情報として設定する設定工程を含む、請求項１８または１９記載の同定方法。     The movement information of the object over time is information using the acceleration of a predetermined part of the object as an index,
    In the extraction step, the predetermined operation cycle information is information using the acceleration of the predetermined portion as an index,
    The setting step includes
    An acquisition step of acquiring time-dependent positional information using the position of the predetermined part as an index and time-dependent acceleration information using the acceleration of the predetermined part as an index for the target or non-target movement;
    A cycle setting step for setting position information between an arbitrary start point and end point as position information of one cycle from the position information with time;
    An extraction step of extracting position information that is the same as or similar to the position information of one cycle on the time axis from the position information with time;
    An identification step for identifying the extracted identical or similar position information as a repetitive action;
    A calculation step for calculating a correlation between position information and acceleration information for the identified repetitive motion, and
    20. The identification method according to claim 18 or 19, further comprising a setting step of setting acceleration information derived from the position information of one cycle based on the calculated correlation as the acceleration information of the one cycle.
  21. 請求項１１から２０のいずれか一項に記載の同定方法をコンピュータ上で実行可能なことを特徴とする、プログラム。 A program capable of executing the identification method according to any one of claims 11 to 20 on a computer.
  22. 請求項２１記載のプログラムを記録していることを特徴とする、コンピュータ読み取り可能な記録媒体。

          A computer-readable recording medium on which the program according to claim 21 is recorded.

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