JP2002263086A - Motion measuring instrument - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a small-sized practical motion measuring instrument capable of measuring the operation of the body of a user to analyze his action to obtain the data thereof or the data of the motion state, energy consumption or the like of the user and displaying these data to provide them to the user himself or an observer and reduced in load from an aspect of use. SOLUTION: The acceleration in the up and down direction of a part of the body, for example, the wrist of the body and the angular velocity of rotation around the left and right axis of the wrist are measured by a motion sensor operated in predetermined timing, and at least three kinds of data of the acceleration output and angular velocity output of the sensor and the periodicity of them are used to classify the kind and intensity of the action of the human body by a discrimination means and multiplied by a predetermined coefficient by the classified action by an arithmetic means to operate energy consumption and these results are outputted.

Description

DETAILED DESCRIPTION OF THE INVENTION

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention classifies the movements (including movements) of the human body in daily life, calculates the energy consumption of the exercises according to the classification result, and furthermore, the energy consumption is extended for a long time. The present invention relates to a motion measurement device that can perform integration.

[0002]

2. Description of the Related Art There are many proposals for inventions which are attached to the body of a user, detect the movement of the body with a sensor, judge the exercise state of the user based on the data, and use the data for the purpose of health management and the like.
For example, (1) In the technology disclosed in Japanese Patent Application Laid-Open No. H10-2955651, a portable terminal having an accelerometer worn on the user (for example, at the waist) uses the personal data inputted and the exercise amount automatically measured. A telephone is sent to an external center computer for analysis and health checkup, and the result is received and displayed.

(2) In the technique disclosed in Japanese Patent Application Laid-Open No. 2000-41953, a body motion detected by a body motion sensor of a behavior data collection device (a user's body side) is primarily processed, and the behavior is received. The data output device (external personal computer side) outputs data that has been subjected to secondary processing using personal information. This eliminates the need for inputting personal information and storing a large amount of secondary processing information on the biological information collection device side, thereby reducing operability and memory capacity. (3) In Japanese Patent Application Laid-Open No. 2000-41952, in order to reduce the memory capacity of the behavior information detection device, the number of steps, walking pace, type of behavior, exercise intensity, Calculate biometric information such as consumed calories, and store, display, or transmit the calculation result every minute.

(4) In addition, a pedometer (pedometer (registered trademark)), a multifunctional wristwatch, or the like has a built-in acceleration sensor, measures the number of steps and exercise intensity, and provides health management information such as calorie consumption by exercise. It seems that there were also products and documents that let them know about the product. (5) In addition to the acceleration sensor, a rotational angular velocity sensor such as a vibrating gyroscope is added and specified for the purpose of monitoring the operation of a patient with a disability in behavior or performing emergency automatic notification for medical management purposes. Studies and experiments aimed at detecting the movement of humans have been reported in related academic societies. (6) On the other hand, looking at the motion sensor technology, the acceleration and the angular velocity are conventionally measured by separate sensors. Particularly in angular velocity sensors, a vibration gyroscope using a free bar or a two-leg tuning fork as a vibrator for detecting Coriolis force is being put into practical use.

[0005]

The above conventional example (1),
Looking at each embodiment of the invention in (2) and (3),
It cannot be said that a body-side device that is sufficiently small and has a small burden on the user when worn is not yet proposed. In the conventional example (4), progress has been made in terms of miniaturization of equipment, but since only information on acceleration and the number of steps are used, analysis of various exercises other than running / walking cannot be performed. No problem.

[0006] Although the purpose of the study of the above conventional example (5) is in common with the present invention in that the purpose of the study is to improve medical technology, the specific purpose is to detect a specific disease and detect an action related thereto. There are many parts that are difficult to directly apply to the present invention, which mainly deals with arbitrary movements of a healthy person (eg, circulatory diseases and exercises that impose a burden on cardiac function). In addition, there seems to be little mention of a specific optimal technique for actually attaching the motion sensor to the body.

Further, in the angular velocity sensor of the prior art cited in the prior art (6), the rotation axis capable of detecting the angular velocity is parallel to the longitudinal axis of the two-legged tuning fork or the rod-shaped vibrator, that is, the detectable rotational surface is located at the longitudinal axis. It is vertical. This necessarily increases the thickness of the bodyside device when the detectable plane of rotation is parallel to the main surface of the device worn on the body. Further, if the acceleration sensor and the angular velocity sensor are separate bodies, the body-side device becomes large. Under these circumstances, it is difficult at present to reduce the size and thickness of the device in order to reduce the burden of mounting. In many cases, other types of sensors have been proposed.

[0008] It is an object of the present invention to measure the body movement of a user, analyze the behavior and analyze the information or exercise status,
An object of the present invention is to provide a small and practical device which can obtain information such as energy consumption and display the information and provide the information to a person or an observer with a small load on use.

[0009]

In order to achieve the above object, the motion measuring apparatus of the present invention has the following features. (1) A motion sensor for measuring acceleration in at least one direction and angular velocity in at least one direction of a predetermined part of a body is provided, and the motion sensor is operated at a predetermined timing to output acceleration and angular velocity of the motion sensor. Output, and at least one of the periodicity of the output, identification means for classifying the type and intensity of the action of the human body using at least three types of information, and arithmetic means for performing a predetermined operation for each classified action, Outputting the operation result of the operation means.

[0010] The motion measurement device of the present invention may further include at least one of the following features. (2) The acceleration in the one direction is an acceleration in a vertical direction of a part of the body, and the angular velocity in the one direction is a rotational angular velocity about a left-right axis of the body. (3) The part of the body is a wrist, and the motion sensor, the motion sensor operating means, and the identification means are mounted in a wristwatch-type device. (4) The arithmetic means is mounted in the wristwatch-type device.

(5) The discriminating means classifies the type of action into running or walking and other movements based on the presence or absence of periodicity of at least one of the acceleration output and the angular velocity output. Classifying the intensity of the exercise based on an amount related to the magnitude of at least one of the angular velocity outputs. (6) The running or walking motion is further classified into running and walking according to an amount related to the magnitude of the acceleration output, and the running is further divided into a plurality of intensities by an amount related to the magnitude of the acceleration output. Classifying the gait into a plurality of intensities according to an amount related to the magnitude of the angular velocity output. (7) As the amount related to the magnitude of the acceleration output or the angular velocity output, a sum of squares or a sum of absolute values of the acceleration output or the angular velocity output is used.

[0012]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of a motion measuring apparatus according to the present invention will be described. Its main part resembles a wristwatch and is worn on the wrist by an armband. At least a motion sensor and its operation circuit are built therein. The motion sensor measures acceleration and angular velocity in at least one direction relative to a unique direction of the motion measuring device. The direction of the measured acceleration Gx is a direction corresponding to the vertical direction of the body (that is, the vertical direction, which is the X axis) when the wearer stands and lowers his / her arm naturally toward the body. The direction of the measured angular velocity ωz corresponds to the natural rotation direction of the wrist around the left and right axis (Z axis) of the body when the arm is swung parallel to the side of the body. The outputs of the measured acceleration Gx and angular velocity ωz are variously processed and used for identification of movement and calculation of energy consumption, and the final information thereof may be immediately observed by a user with a device on a wrist, before calculation or before calculation. The intermediate data may be wirelessly transferred to a fixed computer (or, for example, one day's worth of data may be collectively transferred by wire), and the final information may be visualized or recorded by calculation on the fixed device side. .

The main feature of the present invention is not in the configuration and function sharing of the body-side device and the external device, but in the algorithm for obtaining necessary information from the acceleration Gx and the angular velocity ωz. The outline will be described below, and further details will be described with reference to flowcharts showing the operation of the embodiment of the present invention. As the acceleration Gx and the angular velocity ωz, data obtained by sampling measured values at 10 to 100 Hz (for example, 20 or 50 Hz) is used. As a quantity indicating the magnitude of the acceleration Gx or the angular velocity ωz, a sum of a predetermined number of sampled data or a sum of squares is used.

(1) Identification of body behavior: If a certain degree of periodicity is found in the sampling data of the acceleration Gx and the angular velocity ωz, it is determined that the movement is walking or running. . Furthermore, walking and running can be distinguished by a remarkable difference in acceleration Gx. These actions further divide the intensity into several stages according to an amount indicating the magnitude of the acceleration Gx or the angular velocity ωz. In the case of walking or running, the number of steps can be counted from the periodicity of the data.

(2) Short-term energy consumption: According to a wide range of conventional studies, the energy consumption per unit weight (kg) for each of various behavioral forms has been calculated as a “coefficient for each behavior” for men of 20 to 29 years old. "As shown in FIG. 5 [Table 1]. (According to the Japan Sports Association Sports Science Committee.) Further, for subjects (users) having different ages and genders, the correction coefficients are given as shown in FIG. 5 [Table 1]. (Based on the 4th revision "Japanese nutritional requirements".) With these, energy consumption (including basal metabolism) can be calculated once the type of action being performed is determined.

(3) Energy consumption for a long time: Energy consumption for a short time that changes with time may be integrated. Alternatively, the motion sensor is operated intermittently instead of constantly, and the energy consumption calculated assuming that the type and intensity of the action identified from the data during the operation lasts for an intermittent operation interval of, for example, several minutes to several tens of minutes May be integrated.

FIG. 1 is a flowchart of a measurement operation according to an embodiment of the motion measuring apparatus according to the present invention, and FIG. 2 is a flowchart illustrating an operation of a part for calculating energy. In FIG. 1, in stage 1, data such as the age, sex, and weight of the user, as well as the stride length and the like are input according to the purpose. When the power is turned on in the stage 2, the motion sensor and the measurement circuit start operating, and in the stage 3, a large number of Gx and ωz are measured at a predetermined timing. In the stage 4, ωz is sampled at, for example, 20 Hz, and frequency analysis (by Short time DFT) is performed to check every 0.1 Hz for a frequency of 4 Hz or less. Data is updated every two seconds. Walking frequency is 0.5-1.8
Hz. In stage 5, the ratio between the average value a and the peak value b of the Gx data during the period is calculated.

In the stage 6, the periodicity is determined. When periodicity is not recognized or when b / a <7, it is determined that there is no periodicity, and the process shifts to the point A in FIG. 2 to calculate the energy of the aperiodic motion. When the periodicity is clear and b / a ≧ 7, it is identified that the user is walking or running on the stage 7, and the stage 8 is obtained by subtracting twice the peak frequency of ωz × 2 seconds from the stage 7.
Count as steps per second. (The value of b / a = 7 used as the boundary of the judgment is experimentally selected, and in this case, it is a value determined to be almost optimal in this case using the sum of absolute values for the data.) In stage 9, the number of steps is (2
Is displayed (although it is a second late) (for example, up to 24 hours),
The change (for example, the accumulated step value every 15 minutes or every day) is stored and stored for several days (the data may be transferred to an external computer). Then, the process further proceeds to the start point B of the flow of the energy calculation for running and walking.

In FIG. 2, it is determined that the action is other than walking or running in the stage 11, and the sum of squares (or the sum of absolute values) of data of Gx sampled at, for example, 20 Hz for 2 seconds is used in the stage 12. A non-periodic behavior is classified by the following formula, and a behavior coefficient is determined as shown in the figure. That is, if Gx <2, deskwork (sitting position), 2 <G
If x <6, light work (housework in standing position), 6 <Gx <16
If it is light exercise (sports), it is regarded as intense exercise (sports) if 16 <Gx. A predetermined behavior coefficient is applied to each of the classified movements. Note that the numerical values representing the magnitudes of Gx and ωz used here are the output voltage values of the measuring circuit used in the present embodiment, and include the acceleration and angular velocity or their absolute values (or the sum of squares). Although there is a proportional relationship of, it should be noted that they are not values with their dynamic units.

In the stage 13, the energy consumption is calculated by the following equation. Energy consumption [kcal] = coefficient for each action [kcal / k]
g / min] × body weight [kg] × time [minute] × correction coefficient In stage 14, the display and storage of the energy consumption value are performed, and if necessary, the data (the data before the calculation may be transmitted) to an external computer by wireless transmission. Done. It would be appropriate to display the energy consumption value, for example, every 15 minutes or every day. When the data processing is completed, the process returns from the end point C to the point C of the stage 4 in FIG. 1, and the next motion analysis is performed.

In the case of running and walking, the stage 1
In step 5, the classification is further performed, and the behavior coefficient is determined. That is, the sum of squares of Gx and ωz (or the sum of absolute values)
, And if Gx <8 and ωz <2.8, walk 1, 2,.
If 8 <ωz <5, walk 2. If 5 <ωz <7.2, walk 3. If 7.2 <ωz, walk 4. If 8 <Gx <16, run 1. If Gx <16, run 1. If 16 <Gx, run. Let it be 2. In the stage 16, the energy consumption is calculated by the above-mentioned equation using the behavior coefficient. The flow leaving the point D is sent to the stage 14 in FIG. 2 to display and hold the data.

An example of a specific embodiment of the motion measuring apparatus according to the present invention will be described below with reference to FIGS. 3A and 3B show an example of the motion measuring device, in which FIG. 3A is a partial plan view, and FIG. The movement measuring device 30 is substantially in the form of a wristwatch, and has a band 3 for winding an arm.
6 can be worn on the wrist. The main components include a motion sensor 31, a display device 32, a communication circuit module 33 with an external device, a battery 34 serving as a power supply, and an operation switch 35. The motion measuring device 30 must be thin and small so that the mounting does not burden the user. The display device 32 is arranged on the widest surface corresponding to the display surface of the wristwatch when emphasis is placed on visibility. The motion sensor 31 is also arranged on the same plane, and therefore parallel to the display device 32. Display device 3
Since a thin type 2 such as a liquid crystal display panel can be used, the motion sensor 31 must also be contained in a sufficiently thin package.

The reason why the thin motion sensor 31 is arranged in parallel with the display device 32 is as follows. As described above, the optimal motion detection direction includes the acceleration in the vertical (vertical) direction of the body, that is, the X direction shown in FIG. 3A, and the rotational angular velocity includes both the vertical and the front and rear directions of the body. This is a rotation in a plane (ωz direction in the figure), that is, a rotational movement around a horizontal rotation axis (parallel to the Z axis in the figure) facing the left and right direction of the body. Assume that the body-side device 3 is worn like a wristwatch such that the display surface is on the back side or palm side of the wrist (this is the most natural and desirable), and when the upper body stands upright and the elbow naturally bends and extends, the rotation surface is used. Is parallel to the display surface of the body-side device 3, that is, the display device 32. Therefore, if there is a thin angular velocity sensor having a rotation detection surface parallel to the widest surface thereof, the motion sensor 31 including the thin angular velocity sensor is included in the display device 32. Is preferably arranged in parallel.

FIG. 4 is a plan view showing an internal structure of an example of the motion sensor according to the embodiment of the present invention. The structure of the motion sensor satisfies all of the above requirements regarding the shape, arrangement, and detection direction. Numeral 40 denotes a thin box-shaped airtight (preferably vacuum) container from which a lid (the ceiling portion of the container) has been removed to show the internal structure. 41 is a large number of hermetic terminal pins penetrating the bottom of the container. Each pin is connected to each of the electrode films on the motion sensor vibrator 50 by, for example, a wire bonding method, but the electrode films and the bonding wires are not shown. The motion sensor vibrator 50 is formed from one flat plate of a piezoelectric material, and the acceleration sensor unit and the angular velocity sensor unit are integrated. The motion sensor vibrating body 50 has a fixed portion A52 (shaded portion) on the back surface of the total base portion 51 and a fixed portion B64 (shaded portion) with a small area.
Is adhered and supported on a pedestal (not shown) on the container 40 side.

The angular velocity sensor section is a so-called tripod tuning fork-shaped portion, and has an L-shaped outer leg A53 and an outer leg B, respectively.
55, a middle leg C54, a tuning fork base 56, and a fulcrum 57. The outer leg A53 and the outer leg B55 each have an excitation circuit (oscillation circuit) included in the angular velocity measurement circuit such that each of the outer legs A53 and B55 cantilever and oscillate symmetrically with respect to an axis of symmetry (not shown) as in a normal two-leg tuning fork. Circuit). The middle leg C54 is not excited, but has a surface electrode (not shown) for detecting its deflection. 58A, 58B, 5 shown with hatching different from the fixing portion
8C is an additional mass, which is made of a thick metal plating layer or the like applied to the tip of the leg in order to lower the natural frequency and make them equal to each other (the natural frequency of the middle leg C54 is the natural frequency of both outer legs and the In some cases).

Now, when the motion sensor 50 rotates at an angular velocity ωz in the illustrated direction, that is, about a rotation axis parallel to the Z axis perpendicular to the paper surface, Coriolis force proportional to the angular velocity acts on both outer vibrating legs. The direction is the longitudinal direction of the leg, and when a force toward the tip of the leg acts on the outer leg A53 at a certain moment, the outer leg B
A force is applied to 55 toward the base of the leg. The direction of the force changes sinusoidally in synchronization with the vibration of the legs and periodically reverses. 2
The two outer legs are separated in parallel and the eccentric direction of the added mass is also opposite to the outer leg axis, forming a couple, shaking the tuning fork base 56, and causing a slight rotational vibration around the fulcrum 57. Cause. When the vibration of the tuning fork base 56 caused by the moment due to the Coriolis force is sensed, the middle leg C54 vibrates with an amplitude proportional to the Coriolis force. The vibration voltage extracted by the detection electrode provided on the middle leg C54 is a detection signal of the angular velocity.

The acceleration sensor section of the motion sensor 50 includes a pair of parallel vibrating bars A and B and an additional mass.
Bars A61 and B62 serving as spring portions, load mass 60 (consisting of a mass of a part of a material plate having a large area and a mass of a thick plating material applied to the surface thereof), and two support springs 63 (load mass 60 And a fixing portion B64 (a portion for supporting and fixing the load mass 60 so as not to be largely displaced particularly in the X direction). The rods A61 and B62, each of which is fixed at both ends, are excited by an oscillation circuit (for example, included in the angular velocity measurement circuit 14 of FIG. 1) in a vibrating manner in an arc shape symmetrical with respect to the axis of symmetry of the motion sensor 50.

The oscillating frequency is usually constant. However, when an acceleration Gx in the X direction shown in the figure acts on the load mass 60, the load mass 60 is moved by rods A61 and B6 with a force proportional to the magnitude thereof.
2 is compressed or stretched in the longitudinal direction, and the oscillation frequency increases or decreases depending on the direction and magnitude of the force. Therefore, the acceleration in the X-axis direction can be obtained by comparing the separately provided reference frequency with the above oscillation frequency and knowing the direction and amount of change of the oscillation frequency. The external leg A5, which is not provided with the reference frequency source and is instead a vibrating body for the angular velocity sensor
3. There is also a possibility that the oscillation frequency of B55 can be used. The greatest advantage of the present motion sensor is that it is thin and is arranged parallel to the largest surface (display surface) of the wristwatch-type device, so that the important G
x and ωz can be detected.

Hereinafter, the validity and practicality of the concept of the present invention will be verified with reference to FIGS. 6 to 14 showing the results of experiments using the algorithm of the present invention. FIG. 6 is a graph showing the relationship between Gx and the sum of the absolute values of ωz of the motion of subject P determined to have periodicity, and FIG. 7 shows Gx and Gx of the motion determined to be non-periodic by the same subject. It is a graph showing the relationship of the sum of the absolute value of (omega) z. This indicates that the intensity of running and strong exercise can be classified by Gx, and the intensity of walking and other exercise can be classified by ωz.

FIG. 8 is a graph showing the relationship between the walking and running speeds and the sum of the absolute values of ωz in the five subjects P, Q, R, S and T. It can be seen that the walking speed is well proportional to ωz, and the walking speed (intensity) can be estimated by ωz. On the other hand, it is difficult to estimate the traveling speed at ωz. It seems that the reason is that the elbows are bent when running. FIG. 9 is a graph showing the relationship between the walking and running speeds of the same subject and the sum of the absolute values of Gx. It can be seen that the traveling speed can be estimated from Gx.

FIG. 10 is a graph showing the distribution of the sum of the absolute values of Gx and ωz when the subject P walks and runs at a speed almost specified. The data of the same speed are well organized, and the running is the size of Gx, and the walking is the level of Gx and ω.
It is shown that classification can be sufficiently performed by the magnitude of z. FIG. 11 is a graph of similar data collected for the subject R. In this case, ωz is set to a small value, and the separation of the walking speed has not been successful. When observing the behavior of the subject R, it was found that the habit of turning the palm forward during walking changed the direction of the sensor of the device on the wrist, and the correct ωz was not measured. This measure can be corrected, for example, by mounting the motion measuring device slightly shifted around the wrist. There are other methods, which will be described later. On the other hand, there is no problem in the classification of the traveling speed by Gx.

FIG. 12 is a graph showing the result of discriminating the exercise of the subject P for one day every 15 minutes. The present invention makes it possible to analyze the behavior of the user, and shows that the utility is high.

FIG. 13 shows that the subject P
It is a graph which shows fluctuation of energy consumption for every minute. This also indicates that the present invention is useful for grasping a user's energy consumption pattern or total energy consumption.

FIG. 14 is a graph showing the change in the number of steps of the subject P over one day every 15 minutes. This figure also knows the user's behavior pattern, and can be used as, for example, data for diagnosis and life improvement together with other graphs and data.

The embodiments of the present invention are, of course, not limited to those described above. For example, the direction of detection of acceleration or angular velocity is one axis (one direction) in each of the above embodiments, and this is the configuration that can be realized at the lowest cost by the motion measuring device. An ω sensor may be incorporated. In this case, there is a merit that the information for analyzing the movement increases. Further, it is possible to calculate the absolute maximum value and minimum value of the acceleration and the angular velocity irrespective of the posture and the direction of the measuring device. This is shown in FIG.
Even if the direction to be detected due to the user's habit deviates on the device as in the case of the subject R, for example, the maximum value is obtained from the angular velocity components in two directions (in the case of a wrist device, it is considered to be caused by rotation of the arm along the body side) Can be calculated and obtained.

Further, the motion sensor unit of the motion measuring device is attached to a part other than the wrist (upper arm, chest, waist, leg, etc.), and the measured value obtained from these is used alone or in association with the measured value at the wrist. You can also aim for advanced motion analysis. For example, by attaching an angular velocity sensor to a leg, it is considered that the analysis of exercise on a bicycle is facilitated.

In addition to the configuration in which the device to be worn on the arm has all functions, the function of the portion to be worn on the arm is limited as much as possible in relation to the sensor to reduce the size and weight of the device to reduce the need for mounting. The following sections may be divided into devices attached to a belt or the like, a mobile phone (with necessary functions), and the like, and an analysis result may be displayed on them, and data may be transferred from these to a host computer. . In this way, some consideration for the pacemaker user is also possible.

Further, in addition to the above-described arithmetic function, a special case detecting function can be provided to contribute to the safety of the user. For example, when acceleration or angular velocity is hardly detected for a predetermined period of time, or when the operation is performed at a frequency that is not normally considered possible, the user may have fainted, or when the user falls, the motion sensor temporarily causes an abnormal waveform ( (For example, a shocking waveform). Also, if the user seeks urgent help, the signal may be sent by violently tapping or shaking the device. In this case, it is desirable that the motion detection device emits an emergency signal by sound or wirelessly. In the case of pronunciation, use the speaker attached to the device. In the case of wireless, transmit the radio wave directly to an external device, or output the rescue signal via a wireless device such as your mobile phone. It is possible to send. When the apparatus detects an abnormal value of acceleration or angular velocity, the rescue signal generating function interrupts the normal processing route as shown in FIGS.

[0039]

The effects of the present invention will be described according to each claim. (1) In the present invention, the type and intensity of the action of the human body are classified using the acceleration, angular velocity, and their periodicity of a predetermined part of the body measured using a motion sensor, and a predetermined calculation is performed for each. In this way, with a relatively simple configuration and a small amount of motion sensor output, it is possible to rationally analyze motion and estimate energy consumption with high accuracy, and it is suitable for health management and other purposes, and is a highly practical motion measurement device. Could be obtained.

(2) A motion measuring device that can accurately classify and classify the type and intensity of an action by detecting a small number of motion elements by employing the acceleration in the vertical direction of a part of the body and the rotational angular velocity around the left and right axes. Could be provided.

(3) By using a wrist as a part of the body and a wristwatch type device, a small-sized exercise measuring device with a small load on use can be provided. (4) Further, by mounting the energy consumption calculating means in the wristwatch-type device, the user can freely and directly read and confirm the status of his / her own action and the result at any time, thereby improving the convenience of the exercise measuring device. Could be increased.

(5) Running, walking, and other movements and their strengths are classified using the magnitude of the acceleration output or the angular velocity output and the presence or absence of the periodicity. Therefore, the classification can be performed using a relatively small number of sensor outputs. A motion measurement device that is accurate and has high estimation accuracy of energy consumption can be provided. (6) Since the classification of traveling and walking and the intensity of traveling are classified according to the amount related to the magnitude of the acceleration output, and the walking intensity is classified according to the amount related to the magnitude of the angular velocity output, the motion measuring device is used. The accuracy of the classification and the high estimation accuracy of the energy consumption were obtained. (7) Since the sum of the squares or the sum of the absolute values is used as the quantity related to the magnitude of the acceleration output or the angular velocity output, data creation is easy, the accuracy of classification of the motion measuring device and the energy consumption are reduced. High estimation accuracy was obtained.

(8) Since a signal is generated for an abnormal value of the acceleration output or the angular velocity output, it is possible to contribute to the rescue of the user.

[Brief description of the drawings]

FIG. 1 is a main part of a flowchart of a measurement operation according to an example of an embodiment of a motion measurement device of the present invention.

FIG. 2 is a diagram illustrating a part for calculating energy consumption in a flowchart of a measurement operation according to an example of the embodiment of the exercise measurement device of the present invention.

3A and 3B show an example of a body-side device according to an embodiment of the present invention, wherein FIG. 3A is a partial plan view, and FIG.

FIG. 4 is a plan view showing an internal structure of the motion sensor according to the embodiment of the present invention.

FIG. 5 shows a table of various numerical values used for calculating energy consumption, wherein Table 1 shows a coefficient for each action, and Table 2 shows a correction coefficient for age and gender.

FIG. 6 is a graph showing the relationship between Gx and ωz of the periodic motion of the subject P.

FIG. 7 is a graph showing the relationship between Gx and ωz of the non-periodic behavior of the subject P.

FIG. 8 is a graph showing the relationship between walking and running and ωz.

FIG. 9 is a graph showing the relationship between walking and running and Gx.

FIG. 10 is a graph showing the relationship between Gx and ωz of a subject P walking and running.

FIG. 11 is a graph showing the relationship between Gx and ωz of the subject R walking and running.

FIG. 12 is a graph showing a result of identifying a movement of a subject P every 15 minutes.

FIG. 13 is a graph showing a change in energy consumption of a subject P every 15 minutes.

FIG. 14 is a graph showing a change in the number of steps for a subject P every 15 minutes.

[Explanation of symbols]

1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 1
3, 14, 15, 16 Each stage of the flowchart 30 Motion measurement device 31 Motion sensor 32 Display device 33 Communication module 34 Battery 35 Operation switch 36 Arm-wrapping band X, Z Coordinate axis Gx X-axis acceleration ωz Z-direction angular velocity P, Q , R, S subjects

──────────────────────────────────────────────────続 き Continued on the front page (51) Int.Cl. ⁷ Identification symbol FI Theme coat ゛ (Reference) G01P 15/10 A61B 5/10 310A

Claims (8)

[Claims] 1. A motion sensor for measuring an acceleration in at least one direction and an angular velocity in at least one direction of a predetermined part of a body, operating the motion sensor at a predetermined timing, and outputting an acceleration output of the motion sensor. , Angular velocity output, and periodicity of at least one of the outputs, identification means for classifying the type and intensity of the action of the human body using at least three types of information, and calculation means for performing a predetermined calculation for each of the classified actions. A motion measuring device comprising: 2. The method according to claim 1, wherein the acceleration in one direction is an acceleration in a vertical direction of a part of the body, and the angular velocity in the one direction is a rotational angular velocity about a left-right axis of the body. 1. A motion measuring device. 3. The apparatus according to claim 2, wherein the part of the body is a wrist, and the motion sensor, the motion sensor operating means, and the identification means are mounted in a wristwatch-type device. Exercise measurement device. 4. The motion measuring device according to claim 3, wherein said calculating means is mounted in said wristwatch-type device. 5. The method according to claim 1, wherein the identification unit classifies the type of action into running or walking and other exercises based on the presence or absence of periodicity of at least one of the acceleration output and the angular velocity output. 5. The motion measuring device according to claim 1, wherein the intensity of the motion is classified based on at least one of the magnitudes of the angular velocity outputs. 6. The running or walking motion is further classified into running and walking according to an amount related to the magnitude of the acceleration output. The exercise measuring apparatus according to claim 5, wherein the walking is classified into a plurality of intensities according to an amount related to the magnitude of the angular velocity output. 7. The method according to claim 5, wherein a sum of squares or a sum of absolute values of the acceleration output or the angular velocity output is used as the quantity related to the magnitude of the acceleration output or the angular velocity output. Exercise measurement device. 8. The motion measuring device according to claim 1, further comprising a function of determining that the acceleration output or the angular velocity output is abnormal and transmitting an emergency signal.