JP6852335B2 - Electronic devices, judgment methods and programs - Google Patents

Description

The present invention relates to electronic devices, determination methods and programs.

Conventionally, there is an analysis device that analyzes sensor data (sensor information) from a sensor provided in a tool such as a racket used by a user. In such an analysis device, there is a technique for analyzing a user's motion by correcting a sensor error in a period of less motion before and after the motion starts and integrating sensor information obtained from the sensor (patented). Reference 1). The technique described in Patent Document 1 aims to improve the accuracy of state analysis by calibrating the measurement error of the sensor that occurs at rest and accumulating the sensor information.

Japanese Unexamined Patent Publication No. 2012-10359

However, in the technique described in Patent Document 1 described above, when actually acquiring and analyzing a series of sensor information of motion, the sampling cycle is insufficient or the inside of the sensor at the time of measurement is inadequate, especially in a portion where the amount of change in motion is large. Due to the influence of the noise generated in the sensor information, an error occurs in the sensor information. Then, there is a problem that the accuracy of the analysis of the operating state of the target by the integration process is lowered due to the generated error.

The present invention has been made in view of such a situation, and an object of the present invention is to accurately analyze the operating state of a target even when the sensor data includes a portion having a large amount of change.

In order to achieve the above object, the electronic device of one aspect of the present invention is
An acquisition means for acquiring a continuous first physical quantity in the movement of an object,
A first calculation means for integrating the first section of the first physical quantity acquired by the acquisition means in chronological order, and a first calculation means.
A second calculation means that integrates the second section of the first physical quantity acquired by the acquisition means in the reverse order of the time series, and
A synthetic means for synthesizing the calculation result by the first calculation means and the calculation result by the second calculation means, and
An analysis means for analyzing the motion state of the object based on the synthesis result by the synthesis means, and an analysis means.
A detection means for detecting a singular point having a large change in the first physical quantity that is continuous in the operation of the object is provided.
The first calculation means and the second calculation means execute an integration process when the singularity is detected by the detection means.
It is characterized by that.

According to the present invention, even when the sensor data includes a portion having a large amount of change, the operating state of the target can be accurately determined.

It is a system block diagram which shows the structure of the analysis system S which concerns on one Embodiment of this invention. It is a block diagram which shows the hardware structure of the motion sensor 1, the analysis device 2 and the display device 3 of the analysis system S which concerns on one Embodiment of this invention. It is a schematic diagram for demonstrating the conversion from a sensor coordinate system to a world coordinate system. It is a graph for demonstrating the error between the true value and the measured value in the speed of X-axis. It is a graph which shows the transition of the cumulative angle by the difference of the integration direction. It is a graph which compares a true value and a synthesis result. Of the functional configurations of the analysis device 2 of FIG. 2, it is a functional block diagram showing a functional configuration for executing a moving speed measurement process. It is a flowchart explaining the flow of the moving speed measurement process executed by the analysis apparatus 2 of FIG. 2 having the functional configuration of FIG. It is a flowchart explaining the flow of the speed synthesis processing among the movement speed measurement processing.

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

FIG. 1 is a system configuration diagram showing a configuration of an analysis system S according to an embodiment of the present invention.
As shown in FIG. 1, the analysis system S includes a motion sensor 1, an analysis device 2, and a display device 3.
The motion sensor 1 is attached to the measurement target, senses the movement of the measurement target, and transmits the sensor information to the analysis device 2. In the present embodiment, the motion sensor 1 is attached to the waist or the like of a person who performs a golf swing motion (hereinafter, referred to as a “measurement target person”), and the motion is sensed.

The analysis device 2 analyzes the sensor information acquired from the motion sensor 1 attached to the measurement target person, and transmits the analysis result (in this embodiment, the movement speed such as a posture change) to the display device 3.

The display device 3 displays the analysis result acquired from the analysis device 2 and provides it to the user.

FIG. 2 is a block diagram showing the hardware configurations of the motion sensor 1, the analysis device 2, and the display device 3 of the analysis system S according to the embodiment of the present invention.

First, the motion sensor 1 can be held on, for example, the waist of a measurement target person, and is configured as a small and lightweight device.

As shown in FIG. 2, the motion sensor 1 includes at least a CPU (Central Processing Unit) 11, an acceleration sensor 12, an angular velocity sensor 13, a recording unit 14, and a communication unit 15.

The CPU 11 executes various processes according to a program loaded from the recording unit 14, for example.

The acceleration sensor 12 is composed of a three-axis acceleration sensor, detects the acceleration generated at the holding position according to the operation of the user, and outputs it as acceleration information which is sensor information.

The angular velocity sensor 13 is composed of a three-axis angular velocity sensor, detects an angular velocity generated at the holding position according to a user's operation, and outputs it as angular velocity information which is sensor information.

The recording unit 14 is composed of a hard disk, a DRAM (Dynamic Random Access Memory), or the like, and stores various data such as sensor information (acceleration information and angular velocity information) sensed by the acceleration sensor 12 and the angular velocity sensor 13.

The communication unit 15 controls communication with another device (analysis device 2 in this embodiment) via a network including the Internet. The motion sensor 1 transmits the sensor information (acceleration information and angular velocity information) recorded in the recording unit 14 to the analysis device 2 via the communication unit 15.

Further, the analysis device 2 is configured as, for example, a tablet terminal.
The analysis device 2 includes at least a CPU 21, a recording unit 22, and a communication unit 23.

The CPU 21 executes various processes, analyzes the information recorded in the recording unit 22, and outputs the motion analysis result.

The recording unit 22 is composed of a hard disk, a DRAM (Dynamic Random Access Memory), or the like, and records sensor information transmitted from the motion sensor 1 via the communication unit 23.

The communication unit 23 controls communication with other devices (in this embodiment, the motion sensor 1 and the display device 3) via a network including the Internet. The analysis device 2 receives sensor information from the motion sensor 1 via the communication unit 23, and transmits the motion analysis result to the display device 3.

Further, the display device 3 is configured as, for example, a PC (Personal Computer).
The display device 3 includes at least a communication unit 31 and an output unit 32.

The communication unit 31 controls communication with another device (analysis device 2 in the present embodiment) via a network including the Internet. The display device 3 receives the motion analysis result from the analysis device 2 via the communication unit 31.

The output unit 32 is composed of a display or the like, and displays and outputs the received motion analysis result.

The analysis system S configured in this way has a function of accurately measuring the moving speed of the measurement target of the motion sensor 1.

FIG. 3 is a schematic diagram for explaining the conversion from the sensor coordinate system to the world coordinate system.
When measuring the movement speed, as shown in FIG. 3, the unique coordinate system of the motion sensor 1 (so-called sensor coordinate system) is converted to a coordinate system that matches the three-dimensional space of the real world (so-called world coordinate system). To do.
That is, since the acceleration sensed by the motion sensor 1 includes the gravitational acceleration, the purely dynamic acceleration due to the motion is separated from the acceleration sensed by the motion sensor 1. At the time of separation, the vertical direction in the holding posture of the motion sensor 1 is estimated. The vertical direction can be estimated by using the angular velocity sensed at the same time as the acceleration and adding the angular velocity at each time to the approximate direction obtained by averaging the acceleration.

FIG. 4 is a graph for explaining the error between the true value and the measured value in the movement speed of the X axis. In this embodiment, a golf swing will be described as an example. In the figure, the forward direction is the arrow direction of the alternate long and short dash line, and the reverse direction is the arrow direction of the broken line.

In the measurement of the movement speed of the X axis, the acceleration is integrated, but when the movement speed is measured, an integration error occurs. As shown in the example of FIG. 4, the cumulative value of acceleration has an error in the cumulative value (forward direction: D1, reverse) with the section S of vigorous movement as a boundary when compared with the true value separately measured according to the moving state. The result is that the direction: D2) becomes larger.
Specifically, the acceleration of the X-axis has a small error before the section S where the movement is intense and the section S where the movement is intense when compared with the true value separately measured according to the moving state. The result is that the error becomes larger as shown in D1 after the section S where the movement is intense at the boundary.
On the other hand, in the integration from the opposite direction, the error is small after the section S where the movement is intense, and the error is large as shown in D2 before the section S where the movement is intense with the section S where the movement is intense as a boundary. The result is that.
The above-mentioned acceleration integration error is related to the accuracy of posture estimation and insufficient sampling density, and becomes larger especially at the timing of intense movement. Considering the case of swing motion such as golf and baseball, the motion is relatively gentle or stationary before and after the impact of hitting the ball. In this way, before and after the impact, the integral has a relatively small error, and the motion becomes intense when passing through the impact, so that the error becomes large. By suppressing the integration error, it becomes close to the true value and accurate measurement becomes possible.

Therefore, in order to suppress the integration error, when integrating the acceleration of the motion including the impact, the integration is performed from the forward direction and the reverse direction of the motion, and the respective integration results are synthesized. In the forward integration, the integration error before the impact in the section S where the motion is intense is small, and in the reverse integration, the integration error after the impact is small. Since the integration error is due to the magnitude of motion, the cumulative value of the motion parameters that have passed by each time is used for the composition ratio in each of the forward and reverse directions.

In the present embodiment, as the cumulative value of the motion parameters, the integral of the absolute value of the angular velocity, that is, the motion parameter of how many times the rotation is performed from the initial state to each time is used.

FIG. 5 is a graph showing the transition of the cumulative angle due to the difference in the integration direction.
In the transition of the cumulative angle due to the difference in the integration direction, as shown in FIG. 5, the angle gradually accumulates from the stationary state where the operation starts in the forward direction, and the cumulative angle increases sharply in the section where the movement is intense.
On the other hand, in the opposite direction, the cumulative angle gradually decreases from the stationary state at the end of the movement, and the cumulative angle sharply decreases in the section where the movement is intense.
That is, it can be seen that there is a correlation between the movement parameters and the movement speed of the X-axis in the section where the vigorous movement is performed and the other sections.

In the present embodiment, based on the above-mentioned result, as shown in FIG. 4, the acceleration at each time is integrated in the forward direction from the stationary state, and the temporary velocity A (the velocity with noise different from the true value) ( The acceleration at each time is integrated in the opposite direction to calculate the temporary velocity B), which is the velocity with noise different from the true value. The temporary velocity B, which is the integral of the acceleration at each time in the opposite direction, means that the acceleration is sequentially subtracted, unlike the normal integral.
Then, the cumulative value a (cumulative value b) of the rotation angle in the forward direction (reverse direction) of the rotation angle, which is the cumulative value of the angular velocity and indicates how much the rotation is, is calculated.
After that, the temporary velocity A (temporary velocity B) is synthesized at a synthesis ratio such that the smaller the cumulative value a (cumulative value b), the greater the contribution.
For example, in the graph of the movement speed of the X-axis shown in FIG. 4 and the cumulative angle shown in FIG. 5, at around 0.0 seconds, the cumulative angle in the forward direction is small, so the ratio of the acceleration of the forward integration becomes large. When the composite ratio is set as described above and the cumulative angle takes the same value in the forward and reverse directions at around 1.5 seconds in FIG. 4, the ratio of acceleration in the forward and reverse directions is the ratio of acceleration in the forward and reverse directions in the movement speed in the X-axis direction. The composition ratio is set so as to be uniform, and since the cumulative angle in the reverse direction is small at around 3.0 seconds in FIG. 4, the composition ratio is set so that the acceleration ratio of the components in the reverse direction is large. It is configured to perform calculation processing.
By synthesizing in this way, as shown in FIG. 6, the movement speed of the X-axis that is close to the true value can be measured.
Note that FIG. 6 is a graph comparing the true value and the synthesis result.

The Y-axis movement speed and Z-axis movement speed other than the X-axis movement speed in the three-dimensional space are also measured by the same method as the X-axis movement speed, and are accurate from the sensor information acquired by the motion sensor 1. Movement speed can be measured.

In the analysis of movements such as golf swings, accurate data could not be obtained because the noise of the impact is usually measured by the impact of the club hitting the ball at the time of impact. In the form, the noise at the time of impact is removed and an accurate analysis is performed.

FIG. 7 is a functional block diagram showing a functional configuration for executing the moving speed measurement process among the functional configurations of the analysis device 2 of FIG.
The movement speed measurement process refers to a series of processes in which the analysis device 2 measures an accurate movement speed from the sensor information of the motion sensor 1.

When the movement speed measurement process is executed, as shown in FIG. 7, in the CPU 21, the information acquisition unit 51, the information conversion unit 52, the information analysis unit 53, the calculation processing unit 54, and the speed synthesis processing unit 55 And works.

Sensor information (acceleration information and angular velocity information) received from the motion sensor 1 is recorded in the recording unit 22.

The information acquisition unit 51 acquires sensor information. Specifically, the information acquisition unit 51 can acquire sensor information (acceleration information and corresponding angular velocity information) recorded in the recording unit 22, for example, from the recording unit 22.

The information conversion unit 52 converts the sensor information from the sensor coordinate system to the world coordinate system. Specifically, the information conversion unit 52 can convert the acceleration information from the sensor coordinate system to the world coordinate system by using, for example, the angular velocity information. That is, the information conversion unit 52 estimates the vertical direction by adding the angular velocity information at each time to the approximate direction obtained by averaging the acceleration, and calculates the gravitational acceleration based on the estimated vertical direction. It can be separated and converted to a dynamic acceleration.

The information analysis unit 53 analyzes the acceleration converted into the world coordinate system. Specifically, the information analysis unit 53 can analyze acceleration information, for example, and detect the rest time before and after the impact. The rest time before and after the impact can be detected, for example, by using the dispersion value of acceleration as a guide.

The calculation processing unit 54 executes the calculation process using the acceleration and the angular velocity converted into the world coordinate system.
Specifically, the calculation processing unit 54 can generate, for example, a temporary velocity A in which the acceleration is integrated in the forward direction, and can generate the temporary velocity B by integrating the acceleration in the reverse direction. The velocity B is calculated by sequentially subtracting the acceleration.
Further, the calculation processing unit 54 calculates, for example, the cumulative value a of the rotation angle which is the integration of the absolute values of the forward angular velocities, and calculates the cumulative value b of the rotation angles which is the integration of the absolute values of the angular velocities in the reverse direction. can do.

The speed synthesis processing unit 55 executes the speed synthesis processing. In the speed synthesis process, the moving speed at each time t is measured by synthesizing the temporary speeds A and B at each time t using the cumulative values a and b. In the speed measurement, the provisional velocities A and B at each time are combined at a composite ratio based on the cumulative values a and b.
Specifically, the speed synthesis processing unit 55 can measure the moving speed by using the cumulative values of the rotation angles from the temporary speed according to the following equations (1) and (2).

Movement speed [t] = α x temporary speed A [t] + (1-α) x temporary speed B [t] ... (1)
The "temporary velocity A" can be calculated by integrating the acceleration in the forward direction, and the "temporary velocity B" can be calculated by integrating the acceleration in the reverse direction.

The following equation (2) is calculated at time t.
α = Cumulative value b [t] / Cumulative value a [t] + Cumulative value b [t] ... (2)
The "cumulative value a" is the cumulative value of the rotation angle in the forward direction, and the "cumulative value b" is the cumulative value of the rotation angle in the reverse direction.

FIG. 8 is a flowchart illustrating a flow of a moving speed measurement process executed by the analysis device 2 of FIG. 2 having the functional configuration of FIG. 7.
The movement speed measurement process is started by the operation of starting the movement speed measurement process by the user.
The sensor information (acceleration information and angular velocity information) sensed by the motion sensor 1 is acquired in advance via the communication unit 23 and recorded in the recording unit 22.

In step S11, the information acquisition unit 51 acquires acceleration information and angular velocity information recorded in the recording unit 22 from the recording unit 22.

In step S12, the information conversion unit 52 converts the acceleration information from the sensor coordinate system to the world coordinate system using the angular velocity information.

In step S13, the information analysis unit 53 analyzes the acceleration information and detects the rest time before and after the impact. The rest time before and after the impact is detected using the dispersion value of acceleration as a guide.

In step S14, the calculation processing unit 54 integrates the acceleration in the forward direction to generate the temporary velocity A.

In step S15, the calculation processing unit 54 integrates the acceleration in the opposite direction to generate the temporary velocity B. The velocity B is calculated by sequentially subtracting the acceleration.

In step S16, the calculation processing unit 54 calculates the cumulative value a of the rotation angle, which is the integral of the absolute values of the forward angular velocities.

In step S17, the calculation processing unit 54 calculates the cumulative value b of the rotation angle, which is the integral of the absolute values of the angular velocities in the opposite direction.

In step S18, the speed synthesis processing unit 55 executes the speed synthesis process. By the speed synthesis process, the temporary speed is synthesized by the synthesis ratio based on the cumulative value of the rotation angle, and the moving speed at each time is calculated. The details of the speed synthesis process will be described later.
The calculated X-axis, Y-axis, and Z-axis speeds are transmitted to the display device 3 via the communication unit 23 and used for display and the like. In addition, the motion state of the object (for example, the swing motion of golf) can be analyzed from the calculated X-axis, Y-axis, and Z-axis velocities.

In step S19, the speed synthesis processing unit 55 determines whether or not the calculation of the speed at all the times has been completed.
If all the times have not ended, NO is determined in step S19, and the process returns to step S18.
When all the times have ended, YES is determined in step S19, and the speed calculation process ends.

FIG. 9 is a flowchart illustrating the flow of the speed synthesis process in the moving speed measurement process.

In step S41, the speed synthesis processing unit 55 calculates the following equation (2) at time t.
α = Cumulative value b [t] / Cumulative value a [t] + Cumulative value b [t] ... (2)
The "cumulative value a" is the cumulative value of the rotation angle in the forward direction, and the "cumulative value b" is the cumulative value of the rotation angle in the reverse direction.

In step S42, the speed synthesis processing unit 55 calculates the following equation (1) at time t.
Movement speed [t] = α x temporary speed A [t] + (1-α) x temporary speed B [t] ... (1)
The "temporary velocity A" can be calculated by integrating the acceleration in the forward direction, and the "temporary velocity B" can be calculated by integrating the acceleration in the reverse direction.

In recent years, efforts have been actively made to measure the motion state of athletes who are engaged in sports and to improve their skills. Among them, there is an effort to analyze how to use the body in exercises with momentary movements such as golf and baseball swings by using a plurality of high-speed camera images. In the method of analyzing the movement by the image, it is necessary to carefully specify the part to be analyzed in each image, and in the case of golf, it is necessary to move the camera away from the target person to the extent that the club does not hit. There was also the problem that it was difficult to maintain the resolution and frame rate of the video.
It is possible to analyze the motion from the sensing data acquired by the motion sensor, but for example, in the case of a motion that has a momentary impact such as a golf swing, noise due to the impact is recorded, so it is accurate. There was a problem that it was not possible to perform a proper analysis.

Therefore, in the analysis device 2 of the present embodiment, the moving speed of an accurate operation can be estimated (measured) by the following processes (a) to (c).
(A) The acceleration is converted into the world coordinate system using the angular velocity information.
(B) Two types of tentative velocities are generated by integrating the converted acceleration in the forward and reverse directions of the operation.
(C) Estimate the output speed using the two types of generated temporary speeds.
Regarding (b), for example, the following method (b-1) or (b-2) can be used.
(B-1) The method of estimating the position of the impact and using the integration velocity in the forward direction is used before that, and the integration velocity in the reverse direction is used after that.
(B-2) A method of estimating a certain parameter during exercise and thereby selecting or synthesizing two kinds of tentative velocities is used.

Therefore, in the analysis system S, the moving speed can be easily measured even in a momentary violent movement in which it is difficult to analyze the image.
Further, in the analysis system S, in an exercise including a momentary intense exercise, the speed change of the target portion can be obtained only by wearing the motion sensor 1, which can be useful for improving the skill.

The analysis device 2 configured as described above includes an information acquisition unit 51, a calculation processing unit 54, and a speed synthesis processing unit 55.
The information acquisition unit 51 acquires continuous physical quantities in the operation of the object.
The calculation processing unit 54 integrates the intervals of the physical quantities acquired by the information acquisition unit 51 in chronological order.
Further, the calculation processing unit 54 integrates the intervals of the physical quantities acquired by the information acquisition unit 51 in the reverse order of the time series.
The speed synthesis processing unit 55 determines the user's behavioral state based on the calculation result by the calculation processing unit 54 and the calculation result by the calculation processing unit 54.
As a result, in the analysis device 2, the operating state of the target can be accurately determined even when the sensor data includes a portion having a large amount of change.

Further, the speed synthesis processing unit 55 synthesizes the calculation result obtained by integrating the physical quantity sections along the time series and the calculation result obtained by integrating the physical quantity sections in the reverse order of the time series.
As a result, the analysis device 2 can more accurately determine the operating state of the target even when the sensor data includes a portion having a large amount of change.

The analysis device 2 analyzes the motion state of the object based on the synthesis result by the speed synthesis processing unit 55.
As a result, the analysis device 2 can analyze the motion state of the object from the determination result.

The physical quantity is acceleration.
As a result, in the analysis device 2, the operating state of the target can be accurately determined even when the data of the acceleration sensor includes a portion having a large amount of change.

The information acquisition unit 51 acquires another physical quantity acquired at the same timing as the physical quantity, unlike the physical quantity.
The speed synthesis processing unit 55 determines the behavioral state of the user based on other physical quantities acquired by the information acquisition unit 51.
As a result, the analysis device 2 can more accurately determine the operating state of the target even when the sensor data includes a portion having a large amount of change.

The speed synthesis processing unit 55 synthesizes the first calculation result by the first calculation means and the second calculation result by the second means at a synthesis ratio based on the second physical quantity, and the user. Judge the behavioral state of.
As a result, the analysis device 2 can more accurately determine the operating state of the target even when the sensor data includes a portion having a large amount of change.

Another physical quantity is the angular velocity.
As a result, the analysis device 2 can more accurately determine the operating state of the target even when the acceleration data includes a portion having a large amount of change.

The movement of the object is a golf swing.
As a result, the analysis device 2 can accurately determine the golf swing even when the sensor data includes a portion having a large amount of change.

The present invention is not limited to the above-described embodiment, and modifications, improvements, and the like within the range in which the object of the present invention can be achieved are included in the present invention.

In the above-described embodiment, the start time of the integration process is set to be included in the rest time before and after the impact in the swing. By setting in this way, the integration process can be performed from the state where the user is stationary and the speed is close to 0, so that the error related to the integration process can be reduced. If the start time of the integration process cannot be set to a stationary time point close to the speed 0, calibration is performed at the start of the integration process so that the speed at the start time is used as the base for integration. It may be configured so that the integration process can be performed under the condition that the error related to the process is small.

Further, in the above-described embodiment, the swing motion of golf or baseball has been described, but it may be configured to be applied to other motions. In this case, the speed can be calculated more accurately, especially when a series of movements includes a violent movement or when there is little movement back and forth.

Further, in the above-described embodiment, the sensor information from the motion sensor 1 mounted on the person is analyzed, but the sensor information is not limited to the person but may be an action subject such as a car, and the action subject is not the action subject itself. It may be configured to use sensor information that senses the movement of the tool to be used.

Further, in the above-described embodiment, the cumulative value of the rotation angle is used for the synthesis of the temporary velocity, but the present invention is not limited to this, and for example, the accumulation of the absolute value of the acceleration and the accumulation of the dispersion value may use the motion parameters. it can.

Further, in the above-described embodiment, the analysis device 2 and the motion sensor 1 are configured as separate devices as the analysis system S, but the analysis device 2 may be configured as the same device as a sensor unit that can be remotely used.

Further, in the above-described embodiment, in the series of operations to be analyzed, it may be configured to determine whether or not there is a section where the movement is intense, and execute the speed calculation process only when there is.
Specifically, the CPU 21 is configured to detect a singular point having a large change in a continuous physical quantity in the target operation. Then, when a singular point is detected, the process related to the calculation of the velocity is performed.

Further, in the above-described embodiment, in the calculation of each of the X-axis, Y-axis, and Z-axis velocities, the tentative velocities in the forward and reverse directions and the cumulative values of the rotation angles are used for synthesis. It may be configured to synthesize using only the cumulative value of the temporary velocity and the angle of rotation from.

Further, in the above-described embodiment, when changing from the sensor coordinate system to the world coordinate system, in the section between the gravitational direction in the stationary state of the start and the end in order to correct the rotation error, the forward direction and the reverse direction It is calculated as the true direction of gravity by accumulating and synthesizing the direction of gravity from. As a result, it is possible to perform a highly accurate conversion of the world coordinate system closer to the true value.
In cases other than the above examples, if a cumulative error occurs due to calculation, the accuracy of removing the cumulative error is improved by dividing it into predetermined sections, accumulating from the forward direction of the time series, and using the one accumulated from the reverse direction. be able to.
For example, it can be applied when the display direction is set to the positive direction (by determining an appropriate gravity direction).

Further, in the above-described embodiment, various processes related to analysis are configured to be executed by the analysis device 2, but may be executed by the motion sensor 1 or the display device 3, or may be executed by an external device (for example, an external device (for example). It may be configured to run on the server).

Further, in the above-described embodiment, the calculation result obtained by integrating the acceleration in the forward direction and the calculation result obtained by integrating the acceleration in the reverse direction are combined to analyze the operating state, but the present invention is not limited to the two calculation results. It may be configured to analyze the operating state of the user without synthesizing.

Further, in the above-described embodiment, the analysis device 2 to which the present invention is applied has been described by taking a tablet terminal as an example, but the present invention is not particularly limited thereto.
For example, the present invention can be generally applied to electronic devices having a moving speed measurement processing function. Specifically, for example, the present invention relates to a notebook personal computer, a printer, a television receiver, a video camera, a digital camera, a tracker, an action camera, a portable navigation device, a mobile phone, a smartphone, a smart watch, and a portable game. It can be applied to machines and the like.

The series of processes described above can be executed by hardware or software.
In other words, the functional configuration of FIG. 7 is merely an example and is not particularly limited. That is, it is sufficient that the analysis device 2 is provided with a function capable of executing the above-mentioned series of processes as a whole, and what kind of functional block is used to realize this function is not particularly limited to the example of FIG.
Further, one functional block may be configured by a single piece of hardware, a single piece of software, or a combination thereof.
The functional configuration in the present embodiment is realized by a processor that executes arithmetic processing, and the processor that can be used in the present embodiment is composed of various processing units such as a single processor, a multiprocessor, and a multicore processor. In addition to the above, the present invention includes a combination of these various processing units and processing circuits such as an ASIC (Application Specific Integrated Circuit) and an FPGA (Field-Programmable Gate Array).

When a series of processes are executed by software, the programs constituting the software are installed on a computer or the like from a network or a recording medium.
The computer may be a computer embedded in dedicated hardware. Further, the computer may be a computer capable of executing various functions by installing various programs, for example, a general-purpose personal computer.

The recording medium containing such a program is not only composed of the recording unit 22 and the like of FIG. 2 distributed separately from the apparatus main body in order to provide the program to the user, but also in a state of being preliminarily incorporated in the apparatus main body. It is composed of a recording medium or the like provided to the user. The recording medium or the like is composed of, for example, a magnetic disk (including a floppy disk), an optical disk, a magneto-optical disk, or the like. The optical disk is composed of, for example, a CD-ROM (Compact Disk-Read Only Memory), a DVD (Digital Versaille Disk), a Blu-ray (registered trademark) Disc (Blu-ray Disc), or the like. The magneto-optical disk is composed of an MD (Mini-Disc) or the like. Further, the recording medium provided to the user in a state of being incorporated in the apparatus main body in advance is composed of, for example, a hard disk or the like included in the recording unit 22 or the like of FIG. 2 in which the program is recorded.

In the present specification, the steps for describing a program recorded on a recording medium are not necessarily processed in chronological order, but also in parallel or individually, even if they are not necessarily processed in chronological order. It also includes the processing to be executed.
Further, in the present specification, the term of the system means an overall device composed of a plurality of devices, a plurality of means, and the like.

Although some embodiments of the present invention have been described above, these embodiments are merely examples and do not limit the technical scope of the present invention. The present invention can take various other embodiments, and various modifications such as omission and substitution can be made without departing from the gist of the present invention. These embodiments and modifications thereof are included in the scope and gist of the invention described in the present specification and the like, and are also included in the scope of the invention described in the claims and the equivalent scope thereof.

The inventions described in the claims at the time of filing the application of the present application are described below.
[Appendix 1]
An acquisition means for acquiring a continuous first physical quantity in the movement of an object,
A first calculation means for integrating the first section of the first physical quantity acquired by the acquisition means in chronological order, and a first calculation means.
A second calculation means that integrates the second section of the first physical quantity acquired by the acquisition means in the reverse order of the time series, and
An electronic device characterized by being equipped with.
[Appendix 2]
A synthesis means for synthesizing the calculation result by the first calculation means and the calculation result by the second calculation means is further provided.
The electronic device according to Appendix 1, wherein the electronic device is characterized by the above.
[Appendix 3]
An analysis means for analyzing the motion state of the object based on the synthesis result by the synthesis means is further provided.
The electronic device according to Appendix 2, wherein the electronic device is characterized by the above.
[Appendix 4]
Further provided with a detection means for detecting a singular point having a large change in the first physical quantity that is continuous in the operation of the object.
The first calculation means and the second calculation means execute an integration process when the singularity is detected by the detection means.
The electronic device according to any one of Supplementary note 1 to 3, wherein the electronic device is characterized by the above.
[Appendix 5]
The first section and the second section are set in the vicinity of the singular point in the first physical quantity based on the detection result by the detection means.
The electronic device according to Appendix 4, wherein the electronic device is characterized by the above.
[Appendix 6]
Further equipped with a determination means for determining the user's behavioral state,
Unlike the first physical quantity, the acquisition means acquires a second physical quantity acquired at the same timing as the first physical quantity, and obtains the second physical quantity.
The determination means determines the behavioral state of the user based on the second physical quantity acquired by the acquisition means.
The electronic device according to any one of Supplementary note 1 to 5, wherein the electronic device is characterized by the above.
[Appendix 7]
The determination means synthesizes the first calculation result by the first calculation means and the second calculation result by the second calculation means at a synthesis ratio based on the second physical quantity, and is used by the user. Judging the behavioral state,
The electronic device according to Appendix 6, wherein the electronic device is characterized by the above.
[Appendix 8]
The second physical quantity is the angular velocity.
The electronic device according to Appendix 6 or 7, wherein the electronic device is characterized by the above.
[Appendix 9]
The acquisition step of acquiring the first continuous physical quantity in the movement of the object,
A first calculation step of integrating the first section of the first physical quantity acquired by the acquisition step in chronological order, and
A second calculation step of integrating the second section of the first physical quantity acquired by the acquisition step in the reverse order of the time series, and
A determination method characterized by including.
[Appendix 10]
Computer,
An acquisition means for acquiring a continuous first physical quantity in the movement of an object,
A first calculation means for integrating the first section of the first physical quantity acquired by the acquisition means in chronological order.
A second calculation means that integrates the second section of the first physical quantity acquired by the acquisition means in the reverse order of the time series.
A program characterized by functioning as.

1 ... Motion sensor, 2 ... Analysis device, 3 ... Display device, 11 ... CPU, 12 ... Accelerometer, 13 ... Angular velocity sensor, 14 ... Recording unit, 15.・ ・ Communication unit, 21 ・ ・ ・ CPU, 22 ・ ・ ・ Recording unit, 23 ・ ・ ・ Communication unit, 31 ・ ・ ・ Communication unit, 32 ・ ・ ・ Output unit, 51 ・ ・ ・ Information acquisition unit, 52 ・ ・-Information conversion unit, 53 ... Information analysis unit, 54 ... Calculation processing unit, 55 ... Speed synthesis processing unit, S ... Analysis system

Claims (7)

An acquisition means for acquiring a continuous first physical quantity in the movement of an object,
A first calculation means for integrating the first section of the first physical quantity acquired by the acquisition means in chronological order, and a first calculation means.
A second calculation means that integrates the second section of the first physical quantity acquired by the acquisition means in the reverse order of the time series, and
A synthetic means for synthesizing the calculation result by the first calculation means and the calculation result by the second calculation means, and
An analysis means for analyzing the motion state of the object based on the synthesis result by the synthesis means, and an analysis means.
A detection means for detecting a singular point having a large change in the first physical quantity that is continuous in the operation of the object is provided.
The first calculation means and the second calculation means execute an integration process when the singularity is detected by the detection means.
An electronic device characterized by that. The first section and the second section are set in the vicinity of the singular point in the first physical quantity based on the detection result by the detection means.
The electronic device according to claim 1. Further equipped with a determination means for determining the user's behavioral state,
Unlike the first physical quantity, the acquisition means acquires a second physical quantity acquired at the same timing as the first physical quantity, and obtains the second physical quantity.
The determination means determines the behavioral state of the user based on the second physical quantity acquired by the acquisition means.
The electronic device according to claim 1 or 2. The determination means synthesizes the first calculation result by the first calculation means and the second calculation result by the second calculation means at a synthesis ratio based on the second physical quantity, and is used by the user. Judging the behavioral state,
The electronic device according to claim 3. The second physical quantity is the angular velocity.
The electronic device according to claim 3 or 4. The acquisition step of acquiring the first continuous physical quantity in the movement of the object,
A first calculation step of integrating the first section of the first physical quantity acquired by the acquisition step in chronological order, and
A second calculation step of integrating the second section of the first physical quantity acquired by the acquisition step in the reverse order of the time series, and
A synthesis step that synthesizes the calculation result by the first calculation step and the calculation result by the second calculation step,
An analysis step for analyzing the motion state of the object based on the synthesis result of the synthesis step, and
Including a detection step of detecting a singular point having a large change in the first physical quantity that is continuous in the operation of the object.
The first calculation step and the second calculation step execute the integration process when the singularity is detected by the detection step.
Judgment method characterized by that. Computer,
An acquisition means for acquiring a continuous first physical quantity in the movement of an object,
A first calculation means for integrating the first section of the first physical quantity acquired by the acquisition means in chronological order.
A second calculation means that integrates the second section of the first physical quantity acquired by the acquisition means in the reverse order of the time series.
A synthetic means for synthesizing a calculation result by the first calculation means and a calculation result by the second calculation means,
An analysis means for analyzing the motion state of the object based on the synthesis result by the synthesis means,
It functions as a detection means for detecting a singular point having a large change in the first physical quantity that is continuous in the operation of the object.
The first calculation means and the second calculation means execute an integration process when the singularity is detected by the detection means.
A program characterized by that.

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