JP2007075428A - Motion measuring apparatus - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a motion measuring apparatus which can execute the body motion judgment by precisely classifying even the body motion which is formerly difficult to discriminate such as [walking slowly], [rising a staircase] or the like in the case of the same rate of the body inclination. <P>SOLUTION: The motion measuring apparatus is equipped with a vibration sensor section 4 having vibration sensor sections 15, 16 and 17 along an X, an Y and a Z axes to detect the vibrations in directions of two axes or more to a person to be measured, a PIM operation section 7 to calculate the PIM value and the DC value of the person to be measured by an output signal 20 from the vibration sensor section 4, a signal processing section 5, and a body motion determination section 9 to determine the body motion of the person to be measured by the PIM values to at least a longitudinal direction and a vertical direction and the DC value to at least the longitudinal direction of the person to be measured of the vibration sensor sections 15, 16 and 17 along the X, the Y and the Z axes obtained from the signal processing section 5. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to an exercise measuring device used for analysis of daily body movements of a measurement subject.

  Conventionally, there is a momentum measuring instrument for the purpose of maintaining and managing the health condition of the measurement subject by wearing a vibration sensor directly on clothes, etc., recording and analyzing the behavior abnormality and exercise amount of the measurement subject. Widely used.

  For example, a pedometer (registered trademark) is generally known as a device that can easily measure an individual's activity. Also known as Ambientity Monitoring Inc (A.M.I) Actigraph (trade name) and the like are known for measuring sleep / wake rhythms in the medium and long term. This actigraph is equipped with one uniaxial vibration sensor that can detect very fine vibrations. The body movement of the person being measured and the acceleration waveform output from the acceleration sensor cross a predetermined threshold. The number of times and the integrated value of the amplitude of the acceleration waveform are calculated at arbitrary time intervals and recorded as time series information. Actigraphs are often used in studies such as sleep, fatigue, and ADHD (attention deficit hyperactivity disorder).

  There is also an exercise state discriminator that can discriminate the exercise state by using a vibration sensor. For example, Patent Document 1 discloses a device that can attach a vibration sensor to a person and detect body movement based on the magnitude of a change in acceleration. More specifically, this apparatus distinguishes between a static state and a dynamic state of a measurement subject wearing the apparatus according to the magnitude of the change in acceleration within a predetermined period obtained in the vertical direction and the front-rear direction orthogonal to each other. In the case of the dynamic state, the stable state and the dangerous state of the measurement subject are distinguished based on the magnitude of the change in acceleration.

  There is also a gravitational acceleration direction detector that uses a vibration sensor that can detect how many directions the device containing the sensor is tilted, that is, can detect a DC component signal. For example, in Patent Document 2, the posture state of the measurement subject is determined based on the DC component signal from the vibration sensor based on the acceleration that changes according to the inclination of the measurement subject's body, and the frequency and amplitude value of the AC component signal are determined. The apparatus which discriminate | determines the exercise | movement state of a measurement subject is disclosed.

Further, Patent Documents 3 and 4 disclose devices that identify the state of movement of a measurement subject such as running on a flat ground, climbing stairs, and descending stairs based on vibration strength in the front-rear direction and the up-down direction. ing. In the devices disclosed in Patent Documents 3 and 4, the DC component signal from the vibration sensor is not used.
JP 2004-81632 A (published March 18, 2004) Japanese Patent Laid-Open No. 7-178073 (published July 18, 1995) JP 2002-200059 (published July 16, 2002) Japanese Patent Laid-Open No. 11-42220 (published February 16, 1999)

  However, the Actigraph is equipped with a vibration sensor that detects the direction of gravitational acceleration, although it can be detected even with slight body movements compared to when worn on the waist or the like because it is worn on the arm or ankle. Therefore, it is difficult to calculate the posture, motion state, and number of steps of the measurement subject.

  In addition, in the apparatus disclosed in Patent Document 1, since the body motion is determined only from the change in acceleration within a predetermined period, the change in acceleration is similar to the case of “slow walking” and “step up”. It is difficult to distinguish between different body movements.

  Furthermore, in the apparatus disclosed in Patent Document 2, since only the posture of the measurement subject is determined based on the acceleration that changes depending on the tilt of the measurement subject's body, the body tilt is the same and the body movement is similar. If they are different, it is difficult to determine the difference in body movement. In other words, the apparatus disclosed in Patent Document 2 discriminates the difference in body movement between the case of “slow walking” and the case of “step up” with the upper body standing upright with the same body tilt. It will not be possible.

  Further, in the motion measurement devices disclosed in Patent Documents 3 and 4, body motion determination is performed based only on vibration strengths in the front-rear direction and the vertical direction from two or more axes of vibration sensors orthogonal to each other. For this reason, for example, it is difficult to distinguish the difference in body movements between “slow walking” and “step up”. This is because the vibration intensities in the front-rear direction and the vertical direction tend to exhibit the same characteristics in “slow walking” and “step up”.

  The energy consumed by the subject to be measured differs greatly between “slow walking” and “stair climbing”. Therefore, in the method of determining body motion based only on the vibration strength in the front-rear direction and the vertical direction, a cardiac pacemaker or the like is used. When used in a device that directly affects the human body, such as a device to be controlled, it can cause a particularly large problem.

  The present invention has been made in view of the above-described conventional problems, and its purpose is to accurately distinguish even body movements, such as “slow walking” and “step-up”, which were conventionally difficult to distinguish. Another object of the present invention is to provide an exercise measuring device capable of performing body movement determination.

  In the motion measuring apparatus of the present invention, in order to solve the above-described problem, a vibration detection unit having a vibration sensor that detects vibrations in a direction of at least two axes with respect to the measurement subject, and a signal output from the vibration detection unit A vibration intensity calculation unit that calculates the vibration intensity of the measurement subject, which is the sum of absolute values of the amplitude values of the signals, and a change amount of the position of the center of gravity of the measurement subject from the signal output from the vibration detection unit. The movement of the measurement subject by the center of gravity calculation unit, the vibration intensity of the vibration sensor obtained from the gravity center calculation unit at least in the front-rear direction and the vertical direction, and the gravity component in the measurement subject at least in the front-rear direction. And a body motion determining unit that determines the body motion that is in the state.

  According to the above invention, the vibration intensity calculation unit calculates the vibration intensity in the direction of two or more axes from the signal output from the vibration sensor in the direction of two or more axes, and the body based on the vibration intensity in the two or more axes direction. The motion determination can be performed by the body motion determination unit. Therefore, compared to a vibration sensor having only one uniaxial direction, the body motion determination unit can determine body motion in various directions.

  Furthermore, since it has vibration sensors for at least the front-rear direction and the vertical direction, not only the vibration of the measurement subject in the front-rear direction but also the vibration in the vertical direction is determined from the output signal by the amplitude value of the signal. The vibration intensity calculation unit can calculate the vibration intensity of the measurement subject, which is the sum of absolute values.

  In addition, since at least the gravitational component in the front-rear direction is calculated by the signal processing unit, the movement of the center of gravity in at least the front-rear direction of the measurement subject can be calculated.

  Therefore, different types of body movements with the same vibration intensity of the measurement subject can be distinguished from different types of body movements by determining including movement of the center of gravity. That is, the body motion determination unit performs more accurate body motion determination.

  As a result, an exercise measurement device that can accurately determine body movements, such as “slow walking” and “stairs climbing” when the body tilt is the same, even with body movements that were difficult to distinguish in the past. It becomes possible to provide.

  In addition, in the apparatus of Patent Document 2, there is no description of how the frequency and amplitude are specifically used for the determination of the operation state, and it is not specified what can be identified other than “running” and “walking”. .

  However, in the motion measuring device of the present invention, the vibration intensity of the measurement subject, which is the sum of the absolute values of the amplitude values of the above signals, is calculated from the signal output from the vibration detection unit, that is, the frequency and amplitude. The vibration intensity can be calculated from the signal output from the vibration detector. Therefore, it is possible to realize highly accurate body movement determination.

  In the motion measurement device of the present invention, the body movement determination unit includes at least the vibration strength of the measurement target person of the vibration sensor obtained from the signal processing unit, the vibration strength with respect to the vertical direction, and at least the measurement target person. It is preferable to determine the body movement that is the movement state of the measurement subject based on the gravity components in the front-rear direction and the left-right direction.

  Thereby, since the gravity component of at least the front-rear direction and the left-right direction is calculated by the signal processing unit, the movement of the center of gravity of the measurement subject with respect to at least the front-rear direction and the left-right direction can be calculated.

  Therefore, different types of body movements with the same vibration intensity of the measurement subject can be discriminated with higher accuracy as different types of body movements by determining the movement including the movement of the center of gravity. . That is, the body motion determination unit performs more accurate body motion determination.

  As a result, it is possible to provide a motion measurement device that can perform highly accurate body motion determination.

  In the motion measuring apparatus of the present invention, the signal processing unit is output from an AC component extraction unit that outputs an AC component of a signal output from the vibration detection unit to the vibration intensity calculation unit, and the vibration detection unit. It is preferable that a direct current component extraction unit that calculates the gravitational component from the direct current component of the signal is provided.

  As a result, the amplitude of the output waveform of the alternating current component changes according to the strength of the vibration input to the alternating current component extraction unit. Thus, since the amplitude value corresponds to the vibration intensity, the AC component is easy to use for accurate calculation of the vibration intensity.

  On the other hand, the DC component can be used for accurate calculation of the gravitational component such as a change in acceleration.

  For this reason, it is possible to accurately calculate the vibration intensity and the gravity component based on the output from the signal processing unit and the AC component and DC component calculated by the signal processing unit.

  As a result, it is possible to realize a motion measuring device that can accurately calculate the vibration intensity and the gravity component.

  Further, in the motion measuring device of the present invention, the body motion determining unit has previously measured at least the vibration strength of the person to be measured of the vibration sensor obtained from the vibration strength calculation unit in the vertical direction and the longitudinal direction. Which of the results identified by the identification unit that identifies the position in the vibration intensity distribution area created by the body motion data and the distribution area of the gravity component created by the body motion data measured in advance It is preferable to determine the body movement based on the result identified by the identification unit as to whether the gravity component in the front-rear direction of the measurement subject of the vibration sensor obtained from the signal processing unit corresponds to the position.

  Accordingly, since the vibration intensity in the vertical direction and the front-rear direction of the vibration sensor is used for the determination of the body movement, the body movement is reduced in one direction compared to the case where only the vibration intensity in one direction is used for the determination of the body movement. It can be expressed by the vibration intensity in two directions more than the case of only the vibration intensity.

  That is, it is possible to determine in more detail to which position in the vibration intensity distribution region created from body motion data measured in advance the vibration intensity corresponds. Therefore, determination of body movement can be performed more accurately.

  Furthermore, since the gravity component with respect to the front-rear direction of the vibration sensor is used for the determination of body movement, information on which position in the front-rear direction the center of gravity of the measurement subject can be used for the determination of body movement. It becomes possible to determine body movement more accurately.

  In the motion measurement device of the present invention, the body motion determination unit may determine at which position in the vibration intensity distribution region the vibration intensity obtained from the vibration intensity calculation unit is created based on body motion data measured in advance. The measurement target of the vibration sensor obtained from the direct current component extraction unit when the result identified by the identification unit belongs to a plurality of vibration intensity distribution regions of the body motion data measured in advance. It is preferable to determine the body movement based on the result of the identification unit identifying which position in the gravity component distribution area created by the body movement data measured in advance is the gravity component in the front-rear direction of the person. .

  As a result, among the body motion data measured in advance, the subject's body motion is measured as if the subject's vibration strength belongs to a plurality of vibration intensity distribution regions of the body motion data measured in advance. Even when this determination cannot be made, the gravity component with respect to the front-rear direction of the vibration sensor can be further used to determine the body movement. That is, the information on which position in the front-rear direction the center of gravity of the measurement subject is applied can be further used for determination of body movement.

  Therefore, it is possible to distinguish body motions having vibration strengths corresponding to the same distribution region in the distribution regions of vibration strength created from body motion data measured in advance, based on the position of the center of gravity.

  As a result, it is possible to perform more accurate determination of body movement.

  In the motion measurement device of the present invention, the body motion determination unit may determine at which position in the vibration intensity distribution region the vibration intensity obtained from the vibration intensity calculation unit is created based on body motion data measured in advance. The measurement target of the vibration sensor obtained from the direct current component extraction unit when the result identified by the identification unit belongs to a plurality of vibration intensity distribution regions of the body motion data measured in advance. The body movement is determined based on the result of the identification unit identifying the position of the gravity component distribution region created by the body motion data measured in advance based on the gravity component in the front-rear direction and the left-right direction. Preferably it is done.

  As a result, among the body motion data measured in advance, the subject's body motion is measured as if the subject's vibration strength belongs to a plurality of vibration intensity distribution regions of the body motion data measured in advance. Even when this determination cannot be made, the gravity component with respect to the front-rear direction and the left-right direction of the vibration sensor can be further used to determine the body movement. That is, it is possible to further use the information on which position of the measurement subject's center of gravity is located in the front-rear direction and the left-right direction for determination of body movement.

  Therefore, it is possible to distinguish body motions having vibration strengths corresponding to the same distribution region in the distribution regions of vibration strength created from body motion data measured in advance, based on the position of the center of gravity.

  As a result, it is possible to perform more accurate determination of body movement.

  In the exercise measuring device of the present invention, it is preferable that the body movement determination unit performs body movement determination for each set period.

  Thereby, the body movement determination unit can sequentially determine the body movement of the measurement subject within the set period. That is, it is possible to perform body movement determination more in line with the real time of the measurement subject.

  As a result, it is possible to realize an exercise measurement device that can perform body movement determination more in line with the measurement subject's real time.

  In the motion measuring device of the present invention, the distribution area of the vibration intensity and the gravity component created from the body motion data measured in advance is at least “walking”, “running”, “up the stairs”, or “stepping up the stairs”. It is preferably classified as “get off”.

  In this way, basic body movements such as “walking”, “running”, “ascending stairs”, or “descending stairs” that humans, animals and machines normally perform can be determined by the body movement determination unit. It becomes possible.

  As a result, it is possible to determine the above-described basic body movement that is considered to be normally performed by humans, animals, and machines by the motion measurement device of the present invention.

  Further, in the motion measurement device of the present invention, the motion measurement device includes a vibration frequency calculation unit that further calculates the vibration frequency from an AC component signal among signals output from the vibration detection unit, and the vibration frequency calculation unit. It is preferable to further include a step number rest body movement counter calculation unit that calculates and outputs the number of steps based on the number of vibrations obtained.

  As a result, the number of vibrations of the measurement subject can be calculated with high accuracy by the motion measurement device of the present invention capable of performing more accurate body motion determination. It is possible to calculate the number of steps involved in the step with a high accuracy by the step number resting body motion counter calculating unit.

  In the motion measurement device of the present invention, the vibration frequency calculation unit may determine whether the AC component signal out of the signals output from the vibration detection unit intersects the threshold value or the AC component signal is the AC component. Calculating the number of vibrations based on the number of times that the threshold value is exceeded from a small value side to a large value side of the signal amplitude value, or the number of times that the threshold value is exceeded from a large value side to a small value side of the AC component signal. preferable.

  As a result, when the vibration frequency is calculated based on the number of times that the AC component signal and the threshold value intersect, the vibration frequency that is twice the actual number of steps is calculated.

  The number of times that the AC component signal exceeds the threshold value from the small value side of the AC component signal to the large value side and the number of times that the AC component signal exceeds the threshold value from the large value side of the AC component signal to the small value side When the frequency is calculated by the above, the same number of frequencies as the actual number of steps is calculated.

  As a result, it is possible to calculate the number of steps by the vibration frequency calculation unit based on the vibration frequency.

  In the motion measuring apparatus according to the present invention, the step number resting body motion counter calculating unit may reduce the number of vibrations by 2 when the number of vibrations is calculated based on the number of times the AC component signal intersects the threshold value. If the number of vibrations is calculated based on the number of times the AC component signal exceeds the threshold value from the smaller value side of the amplitude value of the AC component signal to the larger value side, the number of vibrations is used as the number of steps. When the number of vibrations is calculated based on the number of times the AC component signal exceeds the threshold value from the larger value side of the amplitude value of the AC component signal to the smaller value side, it is preferable to calculate the number of vibrations as the number of steps.

  As a result, even when the vibration frequency is calculated based on the number of times that the AC component signal and the threshold value intersect, the number of steps obtained by dividing the vibration frequency by 2 is the actual number of steps that is ½ of the vibration frequency. Can be calculated.

  The number of times that the AC component signal exceeds the threshold value from the small value side of the AC component signal to the large value side and the number of times that the AC component signal exceeds the threshold value from the large value side of the AC component signal to the small value side Even when the vibration frequency is calculated by the above, it is possible to calculate the actual number of steps that is the same as the vibration frequency.

  As a result, it is possible to calculate the number of steps by the step number rest body motion counter calculation unit based on the vibration frequency.

  In the exercise measuring apparatus of the present invention, it is preferable that the body movement determination unit performs determination by distinguishing between body movement during activity and body movement during rest from the vibration intensity.

  Accordingly, since the vibration intensity due to the body movement during the activity of the measurement subject is generally larger than the vibration intensity due to the body movement during the rest, the vibration strength is more than the body movement and the body movement of the measurement subject. When used to distinguish the body motion at rest, which is a body motion having a low vibration intensity, it is possible to easily distinguish the body movement only by comparing the magnitude of the vibration intensity. That is, it becomes easy to detect only the body movement of the measurement subject.

  As a result, it is possible to increase the accuracy of detection of body motion during the activity as the body motion, and it is possible to realize a motion measurement device that can distinguish between activity time and rest time.

  Further, in the motion measuring apparatus of the present invention, the step number resting body motion counter calculating unit is a case where the vibration intensity is determined not to be due to resting body motion by the previous body motion determining unit, and the number of vibrations Is calculated by the number of times the AC component signal intersects the threshold value, the number of vibrations divided by 2 is the number of steps, and the AC component signal has a small amplitude value of the AC component signal. When the number of vibrations is calculated based on the number of times exceeding the threshold value from the side to the larger value side, the number of vibrations is set as the number of steps, and the number of vibrations is smaller than the value side from which the AC component signal has a larger amplitude value. It is preferable to calculate the number of vibrations as the number of steps when the number of times exceeds the threshold.

  As a result, when the body motion determination unit determines that the vibration is not the body motion of the measurement subject but the body motion at rest, the step number rest body motion counter calculation unit does not calculate the number of steps. Therefore, it is not necessary to calculate all of the noises as the number of steps by the step number rest body motion counter calculating unit. Therefore, the step number rest body motion counter calculation unit is not made useless calculation, and the burden of the step number rest body motion counter calculation unit is reduced.

  As a result, it is possible to improve the durability of the step number rest body motion counter calculation unit.

  In the exercise measuring apparatus of the present invention, it is preferable that the step count counter calculating unit calculates the number of steps for each set period.

  Thereby, the step number rest body motion counter calculation unit can sequentially calculate the number of steps of the measurement subject within the set period. That is, it is possible to calculate the number of steps more in line with the measurement subject's real time. In addition, it is possible to realize an exercise measuring apparatus capable of calculating the number of steps in accordance with the measurement subject's real time.

  Further, in the motion measuring device of the present invention, the step number resting body motion counter calculating unit is a case where the vibration intensity is determined by the body motion determining unit in the previous period, and the number of vibrations is When the AC component signal and the threshold value are calculated by the number of times of intersection, the number of vibrations or the number of vibrations divided by 2 is the resting body motion number, and the AC component signal is the AC component. When the signal amplitude value is calculated based on the number of times that the threshold value is exceeded from the smaller value side to the larger value side, the number of vibrations is set as the number of body motions at rest, and the number of vibrations is the AC component signal of the AC component signal. When the number of vibrations is calculated by the number of times exceeding the threshold value from the larger value side to the smaller value side, the number of vibrations is preferably output as the number of body motions at rest.

Thereby, when it is determined by the body motion determination unit that the vibration is not the body motion of the measurement target person but the body motion at rest, the motion measurement apparatus according to the present invention, the step number rest body motion counter calculation unit is It is preferable to calculate the number of resting body motions for each set period.

  Thereby, the number of steps resting body motion counter calculation unit can sequentially calculate the plan body motion of the measurement subject within the set period. That is, it is possible to calculate a resting time more in line with the actual time of the measurement subject. In addition, it is possible to realize an exercise measuring device that can calculate resting body movements more in line with the real time of the measurement subject.

  In the exercise measuring apparatus of the present invention, it is preferable that the step number rest body motion counter calculation unit determines whether or not to perform output based on a result of body motion determination by the body motion determination unit.

  Thus, for example, when the body motion of the measurement subject is determined to be “walking” by the body motion determination unit, the number of steps is calculated from the step number rest body motion counter calculation unit, and the body motion of the measurement subject is “running”. If determined, an exercise measuring device that performs output in accordance with the body movement of the measurement subject, such as calculating calories burned from the body movement determining unit without calculating the number of steps from the step number resting body movement counter calculating unit. Can be realized.

  Moreover, in the motion measuring apparatus of this invention, it is preferable that the said signal processing part contains the alternating current component extraction part provided with the filter which prevents the high frequency component in the said alternating current component signal selectively.

  Thereby, the noise information of the high frequency component can be excluded from the AC component signal by the AC component extraction unit. Since the high-frequency component noise information is noise other than body movements during walking, most of the remaining AC component signals excluding high-frequency component noise information except for the waveform of the AC component signal generated during walking are removed.

  Therefore, since the number of steps can be calculated based only on the amplitude value of the alternating current component signal during walking, the number of steps in the step rest body motion counter calculation unit can be accurately distinguished from noise even if there is very little body movement. It becomes possible to do. As a result, an accurate step count calculation by the motion measuring apparatus of the present invention is realized.

  As described above, the motion measurement device of the present invention includes a vibration detection unit having a vibration sensor that detects vibrations in a direction of at least two axes with respect to the measurement target, and a signal output from the vibration detection unit. A vibration intensity calculation unit that calculates the vibration intensity of the measurement subject that is the sum of the absolute values of the amplitude values, and a signal processing unit that calculates the amount of change in the position of the center of gravity of the measurement subject from the signal output from the vibration detection unit The vibration sensor obtained from the signal processing unit is at least in the front-rear direction, the vibration strength in the vertical direction, and the gravitational component in at least the front-rear direction of the measurement subject, and the movement state of the measurement subject. And a body motion determination unit that determines body motion.

  Therefore, since the movement of the center of gravity in at least the longitudinal direction of the measurement subject can be calculated as a gravity component, it is possible to distinguish different types of body movements with the same vibration intensity of the measurement subject. . That is, the body motion determination unit performs more accurate body motion determination.

  Therefore, a motion measurement device that can distinguish body movements with high accuracy, such as “slow walking” and “stair climbing” when the body tilt is the same, even if it was difficult to distinguish in the past. There is an effect that it can be provided.

  An embodiment of the present invention will be described with reference to FIGS. 1 to 13 as follows.

  First, the mounting direction of the motion measuring device 1 with respect to the measurement subject will be described with reference to FIGS. 1 (a) to 1 (c). Fig.1 (a)-FIG.1 (c) are figures which show the example of direction of the exercise | movement measuring device 1 with respect to the attitude | position of a measuring object person in this Embodiment.

  The exercise measuring apparatus 1 according to the present embodiment is an apparatus that is worn by a measurement subject and performs body movement determination, step count counting, and resting body movement number calculation based on body movement information. In the following description, it is assumed that the motion measuring device 1 is attached to the waist (FIGS. 1B and 1C). Further, the motion measuring device 1 includes a built-in three-axis vibration sensor in the X, Y, and Z directions in which the axial direction of the vibration sensor is fixed to the motion measuring device 1 (FIG. 1A). As shown in FIG. 1B and FIG. 1C, the motion measuring apparatus 1 is configured such that the axial direction of the vibration sensor is the X axis in the front-rear direction (front and back directions) of the human body relative to the measurement subject. It is mounted so that the Y-axis is located in the (overhead direction and foot-down direction) and the Z-axis is located in the left-right direction (right hand direction and left hand direction).

  In the vibration sensor of the motion measuring apparatus 1 in FIGS. 1A to 1C, the symbols “+” or “−” written in parentheses after the names X, Y, and Z of the axes are vibration sensors. When the acceleration applied to the axis of the sensor is applied from the + direction to the-direction, the output amplitude value of the vibration sensor is set to + (positive value), and the acceleration applied to the axis of the vibration sensor is applied from the-direction to the + direction. If it is, it indicates that the output amplitude value of the vibration sensor is-(negative value).

  Next, functional blocks of the motion measuring apparatus 1 in the present embodiment will be described with reference to FIG. FIG. 2 is a functional block diagram of the motion measuring apparatus 1 incorporating a triaxial vibration sensor.

  First, the vibration sensor unit 4 includes X, Y, and Z axis vibration sensor units 15, 16, and 17 that extract the body motion vibration of the measurement subject, and the output sensor signal includes the AC component extraction unit 11 and the DC component. Input to the extraction unit 12. Here, the AC component extraction unit 11 and the DC component extraction unit 12 are collectively referred to as a signal processing unit 5. Signals output from the three-axis vibration sensor units 15, 16, and 17 are converted into an AC signal (AC) waveform and a DC signal (DC) waveform in the AC component extraction unit 11 and the DC component extraction unit 12. To be separated. The waveform referred to here is a plot of the amplitude value of an output signal such as an AC signal or a DC signal with respect to the time axis.

  Then, the separated AC signal and DC signal waveforms are divided for each set period, and the processing described later is performed for each divided waveform. In the present embodiment, it is assumed that the set period is constant 10 seconds. The waveform of the divided AC signal is a ZC calculation unit 6 as a vibration number calculation unit that calculates the number of times over a set threshold value Tz (in most cases, 0.01 G / rad / sec to 0.1 G / rad / sec). To calculate and output a ZC value (Zero Crossing value). At the same time, a PIM value (Proportional Integrating Measure value) as vibration intensity, which is the sum of absolute values, is calculated and output by the PIM calculation section 7 as vibration intensity calculation section. In this manner, the ZC value and the PIM value are output by the ZC calculation unit 6 and the PIM calculation unit 7 from the waveform of the AC signal divided for each set period.

  Further, the DC component extraction unit 12 separates the waveform of the DC signal of the sensor signal for each set time. In the separation method, extraction called “sampling” is generally performed to digitize the waveform of the sensor signal at a constant cycle interval, and the DC component value is calculated by averaging the sampling values. As a specific calculation method, it is obtained by dividing the sum of the values obtained by the sampling by the total number of samplings. For example, when the set period is 10 seconds and the sampling period (sampling frequency) is 10 Hz (0.1 milliseconds), the total number of samplings is 10 / 0.1 = 100. Here, since the DC component value changes because the inclination angle of the motion measuring apparatus 1 changes, the amount of change in the center of gravity of the measurement target can be expressed by the DC component value.

  The ZC value, the PIM value, and the DC value are calculated as described above, and the ZC value and the PIM value are input to the step count counter and the resting body motion calculation unit 8, and the PIM is input to the identification unit 10. A value and the DC value are input.

  Next, a description will be given of how the output signal 20 is output as a PIM value, a ZC value, and a DC value with reference to FIGS.

  First, a process until the output signal 20 is processed into an alternating current component signal 21 as an alternating current component and a direct current component signal 22 as a direct current component will be described with reference to FIGS. 3A to 3C show the waveforms of the X, Y, and Z axis signals 25, 26, and 27 output from the vibration sensor of the motion measuring device, and the AC component signal and the DC component signal of these waveforms. FIG.

  First, FIG. 3A shows output signals 20 from the three-axis vibration sensor units 15, 16, and 17 output from the vibration sensor unit 4. Here, the sensor signals output from the X, Y, and Z three-axis vibration sensor units 15, 16, and 17 are an X-axis signal 25, a Y-axis signal 26, and a Z-axis signal 27. FIG. 3B shows the AC component signal 21 output from the AC component extraction unit 11, and FIG. 3C shows the DC component signal 22 output from the DC component extraction unit 12. FIGS. 3A to 3C are examples in which the motion measuring device 1 is stationary in the front-rear direction and the left-right direction and is vibrated only in the up-down direction. Here, it is assumed that the motion measuring apparatus 1 is ideally vibrated only in the vertical direction.

  As shown in FIG. 3A, when the operation in the front-rear direction and the left-right direction is stationary, the Y-axis signal 26 output from the vibration sensor unit 4 is subjected to gravitational acceleration only in the Y-axis direction. 1G is shown. Then, at the moment when the measurement subject vibrates the motion measuring device 1 in the vertical direction, the Y-axis signal 26 reaches 2G, and once again returns to the stationary state, 1G is indicated again. On the other hand, since the X-axis signal 25 and the Z-axis signal 27 are signals from the sensor units in the front-rear direction and the left-right direction, respectively, the gravitational acceleration indicates 0G. The separation period 24 in FIG. 3A is a set period, and is 10 seconds in the present embodiment. The broken line in FIG. 3A indicates the acceleration 0G value 28.

  In the above-described case where the motion measuring apparatus 1 is vibrated in the vertical direction, the X, Y, and Z axis signals 25, 26, and 27 output from the X, Y, and Z axis vibration sensor units 15, 16, and 17 are AC signals. The component extraction unit 11 and the DC component extraction unit 12 process the AC component signal 21 (FIG. 3B) and the DC component signal 22 (FIG. 3C), respectively. Here, the AC component signal 21 is made up of AC component X, Y, and Z axis signals 35, 36, and 37, which are X, Y, and Z axis signals 25, 26, and 27 processed by the AC component extraction unit 11. The DC component signal 22 is made up of DC component X, Y, and Z-axis signals 45, 46, and 47 that are obtained by processing the X, Y, and Z-axis signals 25, 26, and 27 by the DC component extraction unit 12.

  A ZC value calculation method and a PIM value calculation method will be described with reference to FIGS. 4 (a) and 4 (b). 4A and 4B are diagrams illustrating a ZC value calculation method and a PIM value calculation method.

  First, the AC component signal 21 is input to the ZC calculation unit 6 and the PIM calculation unit 7. When the ZC value calculation method is described with reference to FIG. 4A, the waveform 51 of the AC component signal 21 intersects with the threshold Tz54 during the period in which vibration occurs. Here, since the motion measuring apparatus 1 is ideally vibrated only in the vertical direction (Y-axis direction), only the waveform of the AC component Y-axis signal 36 is seen.

  Thus, the number of times that the threshold value Tz54 and the waveform of the AC component Y-axis signal 36 intersect in the period of the separation period 24 is calculated by the ZC calculation unit 6 and becomes the output ZC value. Here, even if the number of crossings 51 that occurs when the waveform of the AC component Y-axis signal 36 exceeds the threshold value Tz54 is set to the ZC value, the waveform of the AC component Y-axis signal 36 is a numerical value that is higher than the threshold value Tz54. Even if the number of crossings 52 that occur when the vehicle crosses the lower side is set as the ZC value, the number of crossings is obtained by doubling the ZC value used for the step count calculation resting body motion calculation and body motion determination described later. Is possible.

  Therefore, not the number of times that the threshold value Tz54 and the waveform of the AC component Y-axis signal 36 intersect, but the number of times of intersection 51 that occurs when the waveform of the AC component Y-axis signal 36 exceeds the threshold value Tz54. Alternatively, any of the number of intersections 52 that occurs when the waveform of the AC component Y-axis signal 36 exceeds a value lower than the threshold value Tz54 may be determined as the ZC value. In most cases, the threshold value Tz54 for calculating the ZC value is set to a value from 0.01 G / rad / sec to 0.1 G / rad / sec.

  Next, a method for calculating the PIM value will be described with reference to FIG. Each three-axis PIM value is a sum of absolute values of amplitude values in the separation period 24. That is, the area of the AC component X, Y, which is the AC component signal 21, and the area between the waveforms of the Z-axis signals 35, 36 and 37 and the acceleration 0G value 28, and the hatched area 55 is the PIM value. Become. In other words, the PIM value is an area of a region sandwiching the absolute value of the amplitude value of the AC signal and the acceleration 0G value 28.

  When the motion measuring device 1 is vibrated quickly, the number of amplitudes of the AC component signal 21 obtained from the vibration sensor increases and the value of ZC increases. When the motion measuring device 1 is vigorously shaken, the amplitude value of the AC component signal 21 increases and the PIM value increases. Moreover, although the direct current component signal 22 of the output signal 20 is output from the direct current component extraction unit 12, the DC value also changes because the inclination angle changes. In this way, the ZC value, the PIM value, and the DC value are obtained for each separation period 24. The ZC value and the PIM value are input to the step number rest body motion counter calculation unit 8, and the PIM value and the DC value are input to the identification unit 10.

  Next, a method for excluding noise information in the AC component signal 21 will be described with reference to FIGS. 5 (a) and 5 (b). FIG. 5A and FIG. 5B are diagrams showing an output signal of the Y-axis vibration sensor unit 16 and its AC component signal during walking.

  The AC component extraction unit 11 uses a band-pass filter (BPF) that passes a signal of 2 Hz to 3 Hz. As a result, as shown in FIG. 5B, the noise of the direct current component and the high frequency component can be excluded, and the number of steps can be calculated while detecting minute body movements in daily life. FIG. 5A shows an AC component signal 61 as an example when a person to be measured during walking is measured. FIG. 5A shows a waveform of the AC component signal 61 before passing the AC component Y-axis signal 62 obtained from the Y-axis vibration sensor through the BPF. FIG. 5B shows an AC component signal 61a after passing the AC component signal 61 through the BPF and a Y-axis signal 69 after passing the AC component Y-axis signal 62 through the BPF.

  In order to count the number of steps using the AC component Y-axis signal 62, it is necessary to detect amplitude values 63, 64, and 65 that exceed the threshold Tz66. Furthermore, since it is necessary to accurately detect the time when the measurement subject's foot touches the ground, the threshold value Tz66 is set to a portion where the amplitude value of the waveform of the AC component Y-axis signal 61 is large. Then, the threshold value Tz66 is compared with the amplitude value of the Y-axis signal 62. In this way, when the amplitude value 68 that does not exceed the threshold Tz66 is indicated, it is prevented from counting the number of steps on the assumption that it is noise rather than a waveform during walking. However, it is necessary to prevent a portion such as an amplitude value 67 that is noise, not a waveform during walking, from being counted as steps.

  For this reason, in the motion measuring apparatus 1 of this Embodiment, the need for the countermeasure for the removal as mentioned above is eliminated by using a waveform with a limited frequency such as the BPF. That is, by passing the AC component Y-axis signal 62 through the BPF, the waveform of the AC component Y-axis signal 62 is converted into a smooth shape like the waveform of the Y-axis signal 69 after passing through the BPF. Excess noise other than the waveform during walking (the waveform at the moment when the foot has landed on the ground) such as the amplitude values 63, 64, and 65 that exceed can be removed as much as possible by the BPF.

  Further, in order to detect even a small minute body movement in daily life as much as possible, the threshold Tz66 for calculating the ZC value is a value from 0.01 G / rad / sec to 0.1 G / rad / sec in most cases. That is, a value lower than the magnitude of the amplitude value during walking is set.

  In the present embodiment, noise other than body movements due to walking can be excluded by the BPF, so that it is possible to calculate the number of steps by detecting extremely minute movements. In this embodiment, a BPF that passes a signal of 2 Hz to 3 Hz is used. However, the present invention is not limited to this, and an LPF (Low Pass Filter) that passes only other low frequency components is used. Also good.

  Next, specific functions of the functional blocks of the motion measuring apparatus 1 according to the present embodiment will be described with reference to FIG. Here, FIG. 6 shows a functional diagram in which each block of FIG. 2 functions.

  The vibration detection unit 80 is a vibration sensor orthogonal to each other. An AD converter (Analog To Digital Converter) 81 is a circuit for converting an analog output signal from the vibration sensor into a digital signal. Here, the sampling frequency is set to 100 Hz, for example. The BPF 82 corresponds to the AC component extraction unit 11 and is a band-pass digital filter that passes, for example, 2 Hz to 3 Hz. Similarly, the AVE 83 corresponds to the DC component extraction unit 12, and performs an averaging operation on the digital signal output from the AD conversion unit 81 for each separation period 24. A CPU (Central Processing Unit) 86 controls the entire motion measuring apparatus, and performs step number calculation by the step number rest body movement counter calculation unit 8 and body movement determination processing by the body movement determination unit 9. A RAM (Random Access Memory) 84 temporarily stores various data used by the CPU 86. For example, it is used when the ZC value, the PIM value, and the DC value are temporarily stored. A ROM (Read Only Memory) 85 stores the processing procedure of the CPU 86. An RTC (Real Time Clock) 88 is a real time clock which is referred to by the CPU 86 and manages time. The output unit 87 calculates the results of body movement determination, the number of steps, and the number of body movements at rest.

  Next, a method for calculating the number of steps and the number of resting body movements of the measurement subject will be described with reference to FIGS. 7 and 8. The number of steps of the measurement subject and the number of resting body motions are calculated by the resting body motion counter calculating unit 8, and the type of body motion of the measurement subject is calculated by the body motion determining unit 9 (FIG. 2).

  First, FIG. 7 shows a flowchart for calculating the number of steps. FIG. 7 is a diagram illustrating an example of a calculation algorithm for the number of steps and the number of resting body motions.

  When the power of the motion measuring device 1 is turned on, or when a measurement start button or the like of the motion measuring device 1 is pressed, the ZC calculating unit 6 and the PIM calculating unit are included in the step number resting body motion number counter calculating unit 8. 7 and the ZC value and PIM value output from 7 are taken in (S1). The ZC value and the PIM value are taken in every period 24 that is set. Further, the calculated step count value and resting body motion number are output for each unit for each of the set periods 24.

  For calculating the number of steps, a mechanism for removing movements of 2 to 3 Hz that are not included in walking, for example, movements related to walking in a desk work, a train, or other vehicles is excluded. For this reason, when the PIM value on the Y axis is equal to or less than the walking threshold Th, extra fine movement such as movement not included in the above-mentioned walking is regarded as resting body movement (S3), and it is determined not to be in a walking state. Thus, the number of steps is not counted (NO in S2). Here, the walking threshold Th is a threshold different from the threshold Tz for calculating the ZC value. The walking threshold Th is a value for distinguishing between walking and body movement at rest, and is referred to as a walking threshold Th. In the present embodiment, when the sampling frequency in the AD conversion unit is 10 Hz and the set period 24 is 10 seconds, the following description will be made assuming that the walking threshold Th is 3000.

  If the PIM value on the Y axis is greater than the walking threshold Th (YES in S2), the walking is performed during this period, and the value obtained by dividing the ZC value by 2 is used as the number of steps. However, if the ZC value is the number of times that the waveform of the Y-axis signal 62 exceeds the threshold value Tz66, the ZC value is the number of times that the amplitude value of the Y-axis signal 62 exceeds the threshold value Tz66. In this case, (the value obtained by dividing the ZC value by 2 is not used as the step count value), and the ZC value is used as the step count value as it is. This is because one waveform of the Y-axis signal 62 is generated by the vibration of the measurement subject's foot landing on the ground during walking (the waveform output from the vibration sensor has an impulse shape, and the waveform after passing through the BPF 82 is a gentle mountain-shaped waveform. This is because the waveform of the Y-axis signal 62 intersects the threshold value Tz66 twice in one step of walking. When the ZC value of the Y-axis signal 62 is calculated, output is performed as the number of steps (S4).

  When the PIM value on the Y axis is a value lower than the walking threshold Th (NO in S2), it is determined that body movement at rest is performed during this period, or the value obtained by dividing the ZC value by 2 or the ZC The value is the number of resting body movements. When the ZC value of the Y-axis signal 62 is calculated, output is performed as the number of body motions at rest (S3).

  In addition, the PIM value includes three PIM values of X, Y, and Z. The Y-axis PIM value is distinguished from the body movement at rest, compared with the walking threshold Th, and the Y-axis PIM value is the walking threshold. If it is not more than Th, it is regarded as body movement at rest. This is because, as shown in FIGS. 1 (b) and 1 (c), the Y-axis corresponds to the vertical vibration of the measurement subject's body, so that the measurement subject's foot while walking is on the ground. This is because the Y-axis PIM value becomes the largest when landing. That is, when the Y-axis PIM value is used, the difference between the body movement of walking and the resting body movement becomes the largest, and it is easy to distinguish the body movement of walking and other body movements at rest. .

  In the present embodiment, the number of steps is output when the Y-axis PIM value> the walking threshold Th, and when the Y-axis PIM value> the walking threshold Th, the body movement is output at rest. Not limited to this, when the PIM value on the Y axis = the walking threshold Th, the number of steps may be used, and the body movements at rest are also possible. Further, although the Y-axis PIM value is used for comparison with the walking threshold Th, the present invention is not limited to this. In other words, by changing the walking threshold Th to the optimal values for the X and Z axes, the PIM values for the X and Z axes can be used to distinguish between body movements during walking and other body movements during rest. Is possible. Also, the ZC values in S3 and S4 are not limited to the Y-axis ZC values, and the X-axis or Z-axis ZC values may be used.

  In FIG. 8, as an example, the PIM value of the Y axis is used for separation from resting body motion, the walking threshold Th is set to 3000, and the flat walking of 200 steps is performed as 20 trials. A graph is shown. It can be seen from the graph shown in FIG. 8 that the number of steps can be accurately calculated by the motion measuring apparatus 1 of the present invention.

  In the present embodiment, the walking threshold Th is 3000, but the present invention is not limited to this.

  Next, a method for determining body movement in the body movement determination unit 9 will be described with reference to FIGS.

  FIG. 9 shows a flow chart for calculating and determining the body movement state performed by the body movement determination unit 9 and will be described below. The ZC value, the PIM value, and the DC value for each axis sensor output from the DC component extraction unit 12, the ZC calculation unit 6, and the PIM calculation unit 7 are output for each set period 24. The determination of the body movement state includes the PIM value of the X axis (front-rear direction) and the Y axis (vertical direction), the X axis (front-rear direction), the X axis (front-rear direction), and the Z axis (left-right direction). DC value is used.

  FIGS. 10 to 12 show the PIM distribution depending on the body movement, with the PIM value of the X axis as the X axis of the two-dimensional plane and the PIM value of the Y axis as the Y axis of the two-dimensional plane (PIM distribution diagram). ). The types of body movement shown in FIGS. 10 to 12 are, for example, “running”, “fast walking”, “walking”, “slow walking”, “stepping down the stairs”, “stepping down the stairs”, “stepping down the stairs slowly”. “Climb up the stairs fast”, “Climb up the stairs”, “Climb up the stairs slowly”, and “Sitting, standing, etc.”.

  The body movement state is classified into a portion surrounded by an ellipse in the PIM distribution diagrams in FIGS. For ease of understanding, the figures will be described by dividing the PIM distribution diagrams of the above-mentioned various body movements into three figures, FIGS. The areas indicated by hatching in the distribution diagram of FIG. 10 are the PIM areas “running” 91, “fast walking” 92, “walking” 93, and “slow walking” 94. The hatched areas in the distribution diagram of FIG. 11 are PIM areas “step down” 95, “step down fast” 96, and “step down slowly” 97. The hatched areas in the distribution chart of FIG. 12 are the PIM areas “Raise staircase” 98, “Staircase climb” 99, “Raise staircase” 100, and “Sitting position, standing position” 101.

  In the body motion state determination performed by the body motion determination unit 9, first, the set period of where the X-axis PIM value and the Y-axis PIM value output from the PIM calculation unit 7 are located in the PIM distribution map is set. Each 24 is identified.

  For example, as shown in FIG. 9, first, body motion determination is performed based on the X-axis and Y-axis PIM values output from the PIM calculation unit 7 and the X-axis and Z-axis DC values output from the DC component extraction unit 12. Part 9 is taken in (S5). If the body motion determination unit 9 determines that the PIM area is “slow walking” 94 and “step up stairs” 99 (NO in S6), the PIM area “running” 91, “fast walking” 92, “walking” ”93”, “Get down the stairs” 95, “Get down the stairs fast” 96, “Get down the stairs slowly” 97, “Raise up the stairs fast” 98, “Go up the stairs slowly” 100, “Sitting, standing, etc.” 101 The type of body movement of the measurement subject is determined by the unit 9 (S7 to S15).

  The ROM 85 in FIG. 6 has a table of distribution areas for determining the body movement from “running” 91 to “sitting, standing, etc.” 101 determined in advance. 7 are the X-axis (front-rear direction) and Y-axis (up-down direction) PIM values output from the DC component extraction unit 12, and the X-axis (front-rear direction) and Z-axis (left-right direction) DC values output from the DC component extraction unit 12. Judge whether it is included in the table. 10 to 12, each body motion region is indicated by an ellipse. However, for the sake of simplification, a case where each body motion region is a quadrangle will be described.

  For example, the distribution area of the PIM area “travel” 91 is defined in the table as “X-axis vibration intensity PIM value” is “A1 to A2” and “Y-axis vibration intensity PIM value” is “B1 to B2”. If it is determined, it is determined whether or not the PIM values of the X-axis (front-rear direction) and Y-axis (vertical direction) output from the PIM calculation unit 7 are inherent in four points (A1, A2, B1, B2). Here, the PIM values of the X axis and the Y axis are inherent in four points (A1, A2, B1, B2). In the case of A1 ≦ A2 and B1 ≦ B2, the PIM values of the X axis will be described as an example. A1 ≦ X-axis PIM value ≦ A2 and B1 ≦ X-axis PIM value ≦ B2.

  On the other hand, for example, in order to discriminate between the PIM area “step up” 99 and the PIM area “slow walking” 94 based on the DC value, the “DC value in the X axis (front-rear direction)” is “A1 to A2”, “Z If the “DC value of the axis (horizontal direction)” is defined in the table as “B1 to B2”, it is determined whether it is inherent in four points (A1, A2, B1, and B2). When only the DC value of the X-axis (front-rear direction) is used for the body movement discrimination based on the DC value, if the “DC value of the X-axis (front-rear direction)” is defined in the table as “C1 to C2,” the direct current It is determined whether or not the X-axis (front-rear direction) output from the component extraction unit 12 is inherent at two points (C1 and C2).

  However, in the body movement determination performed by the body movement determination unit 9, for example, as shown in the PIM distribution diagrams of FIGS. 10 to 12, areas such as a PIM area “step up” 99 and a PIM area “slow walking” 94 are used. May overlap each other. Therefore, there may be a case where body movement cannot be determined only by the PIM distribution chart.

  If it is determined that the PIM values of the X-axis and Y-axis are in the PIM area “step up” 99 and the PIM area “slow walking” 94 that cannot be determined only by the PIM values in the X-axis direction and the Y-axis direction. (YES in S6), the body movement is determined based on the DC value in the X-axis direction of the measurement subject or the DC values in the X-axis direction and the Z-axis direction as described later.

  Thus, FIG. 13 shows an example of a distribution diagram of the DC value in the X-axis direction and the DC value in the Z-axis direction of the measurement subject. The determination of the difference in body movement between “rising the stairs” and “slow walking”, which could not be determined from the PIM value distribution diagrams (FIGS. 10 to 12), is performed by using the DC value.

  More specifically, since the DC value changes depending on the inclination angle of the motion measuring apparatus 1, the DC value is also different when the movement of the center of gravity of the measurement subject is different. That is, as shown in FIG. 13, when the type of body movement of the measurement subject is “step up stairs”, the center of gravity moves to the front of the measurement subject as compared to the case of “slow walking”. The area “step up stairs” 119 and the DC area “slow walking” 114 do not overlap. Therefore, by using the DC value, it is possible to identify the difference in the type of body movement between “slow walking” and “stepping up the stairs” (in the forward tilt posture, the forward direction in FIG. Since the rear side is in the negative direction, the DC value of the X axis is negative).

  Therefore, when the body motion determination unit 9 determines that the PIM area is “slow walking” 94 and “step up stairs” 99 (YES in S6), the DC area “slow walking” 114 and the DC area “step up stairs”. The body motion determination unit 9 determines the type of body motion of the measurement subject in the order of 119 (S23 and S24). If all of S6 to S17 are not satisfied (NO in S15 or NO in S17), an output indicating that “determination is impossible” is output, and the process returns to S5 to perform again.

  For example, if the determined body movement state is determined to be “running” by the body movement determination unit 9, for example, [A] is output, and if it is determined to be “fast walking”, [B] is output. As described above, the determination result is output from the output unit 87. The output information indicating the body movement state is used for calorie consumption calculation, an artificial heart control device, and the like.

  For example, when the determined body movement state is “running”, the number of steps is not output from the step number rest body movement counter calculation unit 8, and the determined body movement state is “walking”. The number of steps may be output from the number of steps resting body motion counter calculation unit 8.

  In the body movement determination, the body movement of the measurement object is determined using the PIM area and the DC area, which are areas created based on body movement data measured in advance. However, each person's center of gravity, vibration intensity, and vibration direction generally differ from person to person. Therefore, the body motion may be determined using the PIM distribution and the previous DC distribution map according to each person.

  In the present embodiment, the body movement determination is performed from 11 types of body movements from “running” to “sitting, standing, etc.”, but the present invention is not limited to this. You may set finely.

  In the present embodiment, the body movement state determination is performed in the order of S5 to S17. However, the present invention is not limited to this. For example, the body movement determination may be performed in another order.

  In the present embodiment, the distribution map of the center of gravity is shown as a two-dimensional distribution of the DC value of the X axis and the DC value of the Z axis. However, the present invention is not limited to this, and one-dimensional of the DC value of the X axis is used. The body movement state may be determined by determining the position of the center of gravity from the distribution.

  The motion measuring device 1 of the present embodiment is equipped with a motion measuring device 1 including a vibration sensor that extracts vibrations of two or more axes that intersect at right angles to a person, an animal, a machine, etc. The number of steps and the number of body movements at rest are calculated. In the body motion determination, the body motion can be determined with higher accuracy from the vibration intensity in the vertical direction and the front-rear direction and the gravity component in the front-rear direction or the front-rear direction and the left-right direction. The number of steps and the number of body movements at rest can be calculated even in the actigraph that detects extremely minute movements. From the above, the motion measuring apparatus 1 can perform calorie calculation, cardiac pacemaker control, and the like with high accuracy.

  In addition, since the motion measuring device 1 is a measuring device that uses an acceleration sensor that has been increasingly reduced in size and weight, it is large enough to fit into the pocket of the clothes of the person being measured. However, the size is such that it is not inconvenient to carry, and can be lifted lightly by an elderly person with one hand.

  The present invention is not limited to the above-described embodiments, and various modifications can be made within the scope of the claims, and the technical means disclosed in different embodiments can be appropriately combined. Such embodiments are also included in the technical scope of the present invention.

  As described above, the motion measuring apparatus of the present invention can accurately determine body motion based on acceleration information, and can record and output the number of steps and the number of resting body motion as time-series information. In addition, the size is such that there is no inconvenience for people to carry around, and the size can be lifted lightly by an elderly person with one hand. Therefore, the present invention is suitably used in industrial fields related to health care devices such as a pedometer (registered trademark) that calculates calorie consumption by detecting body movement, control of a cardiac pacemaker or artificial heart, health care, and rehabilitation. be able to.

It is a figure which shows one Embodiment of the movement measuring apparatus in this invention, (a) is a figure which shows three axes | shafts of the vibration sensor of the said movement measuring apparatus, (b) is the exercise | movement with respect to the measurement subject of standing position. It is a figure which shows direction of a measuring apparatus, (c) is a figure which shows direction of the exercise | movement measuring apparatus with respect to the measuring subject of a supine position. It is an internal block diagram of the said motion measuring apparatus. (A) is a figure which shows the waveform of the output signal of each axis | shaft of X, Y, Z output from the vibration sensor part in the said motion measuring apparatus, (b) shows the AC component signal of the waveform of (a). It is a figure, (c) is a figure which shows the DC component signal of the waveform of (a). (A) is a figure which shows the ZC calculation method of the said AC component signal, (b) is a figure which shows the PIM calculation method of the said AC component signal. (A) is a figure which shows the output signal from the Y-axis vibration sensor part at the time of the walk in the said motion measuring apparatus, (b) is a figure which shows the AC component signal of (a). It is a functional block diagram which shows the internal structure of the said motion measuring apparatus. It is a figure which shows an example of the algorithm of the step count in the said exercise | movement measuring device, and the number of body motions at rest. It is a comparison figure with the step count calculation value in the said exercise | movement measuring apparatus, and an actual step count value. It is a figure which shows an example of the algorithm of the body movement state determination in the said exercise | movement measuring device. It is a figure which shows an example of distribution of the X-axis and Y-axis PIM value in the said motion measuring apparatus. It is a figure which shows an example of distribution of the X-axis and Y-axis PIM value in the said motion measuring apparatus. It is a figure which shows an example of distribution of the X-axis and Y-axis PIM value in the said motion measuring apparatus. It is a figure which shows an example of distribution of Z and X-axis DC value in the said motion measuring apparatus.

Explanation of symbols

1 Motion measurement device 4 Vibration sensor (vibration detector)
5 Signal processing unit 6 ZC calculation unit (vibration frequency calculation unit)
7 PIM calculation unit (vibration intensity calculation unit)
8 Step Resting Body Motion Counter Calculation Unit 9 Body Motion Determination Unit 10 Identification Unit 11 AC Component Extraction Unit 12 DC Component Extraction Unit 15 X-axis Vibration Sensor Unit (Vibration Sensor)
16 Y-axis vibration sensor (vibration sensor)
17 Z-axis vibration sensor (vibration sensor)
20 Output signal (output signal)
21 AC component signal 22 DC component signal 24 Set period 25 X-axis signal 26 Y-axis signal 27 Z-axis signal 28 Acceleration 0 G value 35 AC component X-axis signal 36 AC component Y-axis signal 37 AC component Z-axis signal 45 DC component X-axis signal 46 DC component Y-axis signal 47 DC component Z-axis signal 51 Crossing 52 Crossing 54 Threshold value Tz
61 AC component signal 61a AC component signal after passing through BPF 62 AC component Y-axis signal 63 Amplitude value exceeding threshold Tz 64 Amplitude value exceeding threshold Tz 65 Amplitude value exceeding threshold Tz 66 Threshold Tz
67 Amplitude value as noise 68 Amplitude value not exceeding threshold Tz 69 Y-axis signal after passing through BPF 80 Vibration detection unit 81 AD conversion unit 82 BPF
83 AVE
84 RAM
85 ROM
86 CPU
87 Output section 88 RTC
91 PIM area "Running"
92 PIM area “fast walking”
93 PIM area "walking"
94 PIM area "slow walking"
95 PIM area "get down the stairs"
96 PIM area "Get down the stairs fast"
97 PIM area "get down the stairs slowly"
98 PIM area "Raising the stairs fast"
99 PIM area “Stair climbing stairs”
100 PIM area “slowly climbs stairs”
101 PIM area “sitting, standing, etc.”
114 DC area "slow walking"
119 DC area “Stairs up the stairs”

Claims (18)

A vibration detection unit having a vibration sensor for detecting vibration in a direction of at least two axes with respect to the measurement target;
A vibration intensity calculator that calculates the vibration intensity of the measurement subject, which is the sum of the absolute values of the amplitude values of the signals, from the signal output from the vibration detector;
A signal processing unit that calculates the amount of change in the position of the center of gravity of the measurement subject from the signal output from the vibration detection unit;
The body motion, which is the movement state of the measurement subject, is determined by the vibration intensity of at least the longitudinal direction and the vertical direction of the measurement subject of the vibration sensor obtained from the signal processing unit, and the gravity component in at least the longitudinal direction of the measurement subject. A motion measurement apparatus comprising a body motion determination unit that performs determination. The body movement determination unit is based on at least the vibration strength of the person to be measured of the vibration sensor obtained from the signal processing unit in the front-rear direction and the vertical direction, and the gravity component in at least the front-rear direction and the left-right direction of the person to be measured. The motion measurement apparatus according to claim 1, wherein body motion that is an exercise state of the measurement subject is determined. The signal processing unit is an AC component extraction unit that outputs an AC component of a signal output from the vibration detection unit to the vibration intensity calculation unit;
The motion measuring apparatus according to claim 1, further comprising a DC component extracting unit that calculates the gravitational component from a DC component of a signal output from the vibration detecting unit. The body motion determination unit is a vibration strength created from body motion data measured in advance in the vibration strength at least in the vertical direction and the front-rear direction of the measurement subject of the vibration sensor obtained from the vibration strength calculation unit. The result identified by the identification unit identifying which position in the distribution region corresponds to;
The position of the gravity component distribution region created by the body motion data measured in advance is determined by the identification unit to which position the gravity component in the longitudinal direction of the person to be measured of the vibration sensor obtained from the signal processing unit corresponds. 4. The motion measuring apparatus according to claim 1, wherein the body motion is determined based on the identified result. The body motion determining unit has identified by the identifying unit which position of the vibration intensity distribution region created by the body motion data measured in advance corresponds to the vibration strength obtained from the vibration strength calculating unit. When the result belongs to a plurality of vibration intensity distribution areas in the body motion data measured in advance,
The position of the gravity component in the longitudinal direction of the person to be measured of the vibration sensor obtained from the DC component extraction unit corresponds to which position in the distribution region of the gravity component created by the body motion data measured in advance. 4. The motion measuring apparatus according to claim 1, wherein the body movement is determined based on the identified result. The body motion determining unit has identified by the identifying unit which position of the vibration intensity distribution region created by the body motion data measured in advance corresponds to the vibration strength obtained from the vibration strength calculating unit. When the result belongs to a plurality of vibration intensity distribution areas in the body motion data measured in advance,
Which position in the gravity component distribution area created by body motion data measured in advance is the gravitational component in the longitudinal direction and the lateral direction of the measurement subject of the vibration sensor obtained from the DC component extraction unit 4. The motion measuring apparatus according to claim 1, wherein body movement is determined based on a result of being identified by the identifying unit.   The motion measurement apparatus according to claim 1, wherein the body motion determination unit performs body motion determination for each set period.   The distribution area of vibration intensity and gravity component created by pre-measured body movement data is classified as at least “walking”, “running”, “up stairs”, or “down stairs”. The motion measuring device according to claim 4, 5 or 6. The motion measuring device further includes a vibration frequency calculation unit that calculates the vibration frequency from an AC component signal among signals output from the vibration detection unit;
The exercise measurement according to any one of claims 1 to 7, further comprising a step number rest body motion number counter calculation unit that calculates and outputs the number of steps based on the number of vibrations obtained from the vibration number calculation unit. apparatus. The vibration frequency calculation unit is the number of times that the AC component signal of the signals output from the vibration detection unit intersects the threshold value,
Or the number of times the AC component signal exceeds the threshold value from the smaller value side of the amplitude value of the AC component signal to the larger value side,
The motion measurement device according to claim 9, wherein the number of vibrations is calculated based on the number of times that the threshold value is exceeded from a larger value side to a smaller value side of the amplitude value of the AC component signal. The step rest body motion counter calculation unit
When the number of vibrations is calculated based on the number of times the AC component signal and the threshold intersect, the number of steps is obtained by dividing the number of vibrations by two,
When the number of vibrations is calculated based on the number of times the AC component signal exceeds the threshold value from the smaller value side of the amplitude value of the AC component signal to the larger value side, the number of vibrations is defined as the number of steps.
The number of vibrations is calculated as the number of steps when the number of vibrations is calculated based on the number of times that the AC component signal exceeds the threshold value from the larger value side to the smaller value side of the amplitude value of the AC component signal. The motion measuring device according to claim 9.   The said body movement determination part distinguishes the said body movement from the said vibration intensity | strength, and the body movement at rest which is a body movement whose vibration intensity is smaller than the said body movement, and performs determination. Motion measurement device. The step rest body motion counter calculation unit
When it is determined by the body motion determination unit that the vibration intensity is not due to body motion at rest,
When the number of vibrations is calculated based on the number of times the AC component signal and the threshold intersect, the number of steps is obtained by dividing the number of vibrations by two,
When the number of vibrations is calculated based on the number of times the AC component signal exceeds the threshold value from the smaller value side of the amplitude value of the AC component signal to the larger value side, the number of vibrations is defined as the number of steps.
The number of vibrations is calculated as the number of steps when the number of vibrations is calculated based on the number of times that the AC component signal exceeds the threshold value from the larger value side to the smaller value side of the amplitude value of the AC component signal. The motion measuring device according to claim 9.   The exercise measuring device according to claim 9, wherein the step number resting body motion counter calculating unit calculates the number of steps for each set period. The step rest body motion counter calculation unit
When it is determined that the vibration intensity is due to minute noise (resting body movement) by the body movement determining unit,
When the number of vibrations is calculated based on the number of times the AC component signal and the threshold intersect, the number of vibrations is the number of body movements at rest, or the number of vibrations divided by 2 is the number of body movements at rest. age,
When the number of vibrations is calculated based on the number of times the AC component signal exceeds the threshold value from the smaller value side of the amplitude value of the AC component signal to the larger value side, the number of vibrations is the resting body motion number, and the AC When the number of vibrations is calculated based on the number of times that the component signal exceeds the threshold value from the larger value side to the smaller value side of the amplitude value of the AC component signal, the number of vibrations is calculated as the number of body motions at rest. The motion measuring device according to claim 9 or 11.   The motion measuring apparatus according to claim 9, wherein the step number resting body motion counter calculating unit calculates the number of resting body motions for each set period.   The step number rest body motion counter calculation unit determines whether to output based on a result of body motion determination by the body motion determination unit. The movement measuring device according to any one of the above.   The said signal processing part contains the alternating current component extraction part provided with the filter which does not selectively pass the high frequency component in the said alternating current component signal, The any one of Claims 8-16 characterized by the above-mentioned. The motion measuring device according to 1.

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