JP5301807B2 - Sole pressure measuring device and action posture discrimination method - Google Patents

Description

  The present invention is based on a plantar pressure measuring device that measures the plantar load applied to the sole by wearing it as an insole on the shoe, and based on the plantar load, the state of the subject at each time point is the sitting state, the standing state, The present invention also relates to a behavior posture determination method for determining whether the state is a walking state.

  When investigating the cause of musculoskeletal disorders such as occupational low back pain, generally, a method of taking a video of movements and postures of subjects during work, OWAS (Ovako Working Posture Analyzing System) method (Non-patent Document 1, 2), a method of recording a movement posture at regular intervals, a method of measuring an electromyogram, or the like. These methods can be easily performed when the subject repeats the work for a short time. However, it is difficult to investigate by these methods when the subject performs various tasks for a long time. Therefore, a plantar pressure measuring device is used that incorporates a pressure sensor into the insole of an operator's shoe and continuously measures the plantar load.

  The plantar pressure measuring device is based on a spatial installation measurement method in which a pressure detection sensor is installed on the floor and measures the body, and the footwear itself such as shoes is composed of a sensor and is directly attached to the subject's foot. It is roughly divided into wearing measurement methods. Among these, the spatial installation measurement method is not suitable for the above-described investigation purpose because the apparatus is large and the range in which the subject can act is extremely limited.

  A device for measuring the sole pressure distribution by the body wearing measurement method is generally an insole type, that is, a device in which a sensor for detecting the sole pressure is incorporated in the insole (insole). Sensors that detect plantar pressure include a prescale that measures the plantar pressure based on the degree of coloration that is colored with ink, and measures plantar pressure from the resistance value at the intersection of electrodes arranged in a grid of rows and columns There are roughly three types: a scanning type and a distributed type in which small pressure sensors are distributed in an insole (Non-patent Document 3).

  The prescale is a film in which an ultrathin coloring layer capable of measuring pressure characteristics is uniformly applied. A large number of microcapsules in which a colorless dye is encapsulated are uniformly distributed in the film. When pressure is applied, the microcapsules are destroyed, colorless dyes are released, and color reacts with an external developer. Therefore, the plantar pressure can be detected from the color density. However, the prescale cannot be used for continuous plantar pressure measurement over a long period of time because the insole needs to be replaced by a one-time measurement.

  On the other hand, since the plantar pressure is output as an electrical signal, the scanning and distributed plantar pressure measuring devices can be applied to continuous plantar pressure measurement.

  As conventional scanning or distribution type plantar pressure measuring devices, those described in Patent Documents 1 to 3 are known.

  Patent Document 1 discloses a foot pressure sensor unit that detects a temporal change in pressure acting on a predetermined part of a subject's sole and outputs a foot pressure detection signal, and detects the current position of the subject and detects the current position. There is described a biological information collecting apparatus composed of footwear in which a position detection unit that outputs information and a storage unit that stores the foot pressure detection signal and the current position information are stored.

  Patent Document 2 describes a shoe with a load sensor in which a plurality of three-component force load sensors are arranged on the sole.

  In Patent Document 3, there are a plurality of variable capacitance pressure sensors that are dispersedly attached to the sole of the subject and whose capacitance changes in accordance with the partial load of the sole, and the plurality of variable capacitance pressure sensors. An optical signal transmitter that converts the electric signal corresponding to the partial load obtained between the electrode plates of the pressure sensor into a time-division optical signal and transmits it, and receives the time-division optical signal from this optical signal transmitter, A walking factor analyzer having a light receiving device that outputs an electric signal corresponding to the partial load and the load position, and an arithmetic device that analyzes a walking state based on the electric signal output from the light receiving device is described. ing.

In addition, the measured plantar pressure data is widely recorded in a wireless type in which data is transferred to an external recording device attached to the subject's waist or the like, and a data logger type in which data is recorded in a data logger. (See Non-Patent Document 3).
JP 2004-305469 A JP 2005-214850 A Japanese Patent Laid-Open No. 2-55045 Karhu O, et al. Correcting working postures in industry: A practical method or analysis. Applied Ergonomics 1977,8; 199-201. Stoffert G. Analyze und Einstufung von Korperhaltungen bei der Arbeit nach der OWAS-Methode. Zeitschrift fur Arbeitwissenschaft 1985,1; 31-38. Takuya Matsuda, “Estimation of floor reaction force and lower limb joint moments using plantar pressure measuring device”, Kochi University of Technology Graduate School 2002 Master thesis, [online], 2003, Kochi University of Technology Information Library, [2007 Search October 1], Internet <http://www.kochi-tech.ac.jp/library/ron/2002/g5/M/1055063.pdf>

  The above-mentioned conventional plantar pressure measuring device is mainly intended to measure and collect data of the subject's plantar pressure itself, and the movement and posture of the subject during the examination period can be obtained by using the collected measurement data later on the computer. And then analyze with a computer.

  However, if data on the plantar pressure during the work of the subject is collected over a long period of time, the amount of data becomes enormous. Therefore, a very large-capacity data logger or the like is required for recording plantar pressure data, which increases the size and cost of the recording apparatus itself. The plantar pressure measuring device that measures the plantar pressure distribution by the body-worn measurement method is always worn by the subject, so it is preferable to measure it as small as possible, and if possible, all measuring devices should be in the insole. It is preferable to be within the range. However, if the size of the recording device is large, it is difficult to fit the recording device in the insole.

  Accordingly, an object of the present invention is to provide a plantar pressure measuring device capable of recording and collecting measurement data with a small data recording device even when examining a motion and posture of a subject during work for a long period of time. There is to do.

A first configuration of the present invention relating to a plantar pressure measuring device includes a sole-shaped thick insole,
One or more load sensors disposed at a predetermined position of the insole and detecting a load value applied to the position of the insole;
A data logger provided integrally with the insole;
A battery provided integrally with the insole;
A plantar pressure measuring device comprising:
Representative value calculating means for calculating the maximum value L _max and the average value L _mean of the load value in a predetermined minute time ΔT of the load value output from the first load sensor;
Data storage means for storing the maximum value L _max and the average value L _{mean as} they are or after converting them by a predetermined algorithm, and storing the data in the data logger.

According to this configuration, the representative value calculating means calculates the maximum value L _max and the average value L _mean of the load values output from the first load sensor every predetermined minute time, and the data storage means Since the value L _max and the average value L _mean are converted as they are or after being converted by a predetermined algorithm and stored in the data logger, the data amount is greatly reduced as compared with the conventional method in which the load value is recorded in the data logger as it is. Therefore, measurement data can be recorded and collected by a small data logger even when a test subject's operation and posture are examined over a long period of time.

Further, if the maximum value L _max and the average value L _mean are converted by a predetermined algorithm and stored in the data logger, only necessary information can be extracted, and the motion and posture of the foot load can be extracted. Since data processing such as analysis is also performed at the same time, the storage capacity of the data logger can be reduced, and at the same time, subsequent data processing can be facilitated.

The second configuration of the present invention related to the plantar pressure measuring device is the load sensor according to the first configuration.
A first load sensor disposed at a lower rib position of the insole and detecting a load value applied to the position of the insole;
A second load sensor disposed at a distal lower portion of the first metatarsal of the insole and detecting a load value applied to the position of the insole;
A third load sensor disposed at a distal lower portion of the fifth metatarsal of the insole and detecting a load value applied to the position of the insole;
With
The representative value calculating means calculates a maximum value L _max and an average value L _mean of the load value within the predetermined minute time ΔT based on the load value output by each load sensor,
The data storage means stores each maximum value L _max and each average value L _{mean as} they are or after converting them by a predetermined algorithm, and then stores them in the data logger.

  The position of the insole lower part of the rib is a position where the plantar load is applied most concentratedly, and the plantar load can be detected with high accuracy by arranging the first load sensor at this position. In addition, the first metatarsal distal lower portion and the fifth metatarsal distal lower portion of the insole are positions where the plantar load is concentrated after the lower rib, and the second, third, By arranging the load sensor, the sole load can be detected with higher accuracy.

Here, as the “maximum load value L _max and average value L _mean ”, the sum or average of the maximum and average load values detected by each load sensor can be used.

According to a third configuration of the present invention relating to a plantar pressure measuring device, in the first or second configuration, the data storage unit includes:
In each minute time ΔT, with respect to a predetermined walking determination threshold α _w and sitting position determination threshold α _s ,
(A) When the difference between the maximum value L _max and the average value L _mean is not less than the walking determination threshold value α _w ,
(B) When the difference between the maximum value L _max and the average value L _mean is smaller than the walking determination threshold value α _w and the average value L _mean is equal to or greater than the sitting position determination threshold value α _s ,
(C) a sitting state when a difference between the maximum value L _max and the average value L _mean is smaller than the walking determination threshold value α _w and the average value L _mean is smaller than the sitting position determination threshold value α _s ;
State determining means for determining that
Accumulated times T _{w, i} , T _{s, i} , _{Te, i} of the states of the walking state, the sitting state, and the standing state determined by the state determining unit are calculated for each predetermined update time. , integrating these in addition to the integration time T _w of each state stored in the data _logger, T _s, T _e, updating of the stored in the data logger was the integration time T _w, T _s, T _e And a time update means.

According to this configuration, by determining the difference between the maximum value L _max and the average value L _mean as a threshold value, the walking state and the sitting or standing state can be determined with high accuracy. In addition, with respect to what is determined to be the sitting position or the standing position, the sitting position and the standing position can be determined with high accuracy by determining the average value L _mean as a threshold value.
Further, the data of the paw sole load measured at the load sensors, the walking state, the stored locus state, the integration time T _w of the states in upright _position, T _s, as T _e to the data logger, a long period of time Even when examining the motion and posture of the subject during the work, the data amount of the measurement data does not overflow the storage capacity of the data logger. In addition, the integration time T _w that is _collected, T _s, by the T _e, it is possible to easily know the status of the behavior and attitude in the work of the subject.

In addition, the present invention relating to the behavior posture determination method includes an insole having a foot-shaped thickness, and one or more load sensors that are disposed at predetermined positions of the insole and detect a load value applied to the position of the insole. A plantar pressure measuring device equipped in the shoe of the subject, and based on the load value detected by the load sensor when the subject acts, the state of the subject at each time point is the sitting state, the standing position A behavior posture determination method for determining whether a state or a walking state,
A representative value calculating step of calculating a maximum value L _max and an average value L _mean of the load value within a predetermined minute time ΔT of the load value output by the first load sensor;
With respect to the maximum value L _max and the average value L _mean calculated in each minute time ΔT, with respect to a predetermined walking determination threshold value α _w and sitting position determination threshold value α _s ,
(A) When the difference between the maximum value L _max and the average value L _mean is not less than the walking determination threshold value α _w ,
(B) When the difference between the maximum value L _max and the average value L _mean is smaller than the walking determination threshold value α _w and the average value L _mean is equal to or greater than the sitting position determination threshold value α _s ,
(C) a sitting state when a difference between the maximum value L _max and the average value L _mean is smaller than the walking determination threshold value α _w and the average value L _mean is smaller than the sitting position determination threshold value α _s ;
A state determination step for determining that
It is characterized by having.

According to this configuration, by determining the difference between the maximum value L _max and the average value L _mean as a threshold value, the walking state and the sitting or standing state can be determined with high accuracy. In addition, with respect to what is determined to be the sitting position or the standing position, the sitting position and the standing position can be determined with high accuracy by determining the average value L _mean as a threshold value.

As described above, according to the present invention, the representative value calculation means calculates the maximum value L _max and the average value L _mean of the load values output from the first load sensor for each predetermined minute time, and accumulates data. The means stores the maximum value L _max and the average value L _{mean as} they are or after they are converted by a predetermined algorithm, and then saves them in the data logger. Decrease. Therefore, measurement data can be recorded and collected by a small data logger even when a test subject's operation and posture are examined over a long period of time.

Further, if the maximum value L _max and the average value L _mean are converted by a predetermined algorithm and stored in the data logger, only necessary information can be extracted, and the motion and posture of the foot load can be extracted. Since data processing such as analysis is also performed at the same time, the storage capacity of the data logger can be reduced, and at the same time, subsequent data processing can be facilitated.

  The best mode for carrying out the present invention will be described below with reference to the drawings.

  FIG. 1 is an external view of a plantar pressure measuring apparatus according to Embodiment 1 of the present invention. The plantar pressure measuring device 1 includes an insole 2, load sensors 3, 4, 5, a built-in circuit 6, a power supply unit 7, a data logger 8, and a level shifter circuit 9. In FIG. 1, the built-in circuit 6 and the data logger 8 are arranged so as to overlap each other.

  The insole 2 is composed of a thick elastic member having a sole shape. The insole 2 is attached to a subject's shoe as a bottom plate in the shoe.

  The load sensors 3, 4, and 5 are pressure sensors that detect a load applied to a specific position of the insole 2 (hereinafter referred to as “foot load”). The load sensors 3, 4, and 5 are respectively disposed at the lower rib position, the first distal metatarsal lower part, and the fifth metatarsal distal lower part of the insole 2. As the load sensors 3, 4, and 5, for example, a load cell or a pressure-sensitive conductive rubber and an electric resistance are connected in series between a power source and a ground when an applied pressure increases, and a partial pressure of the pressure-sensitive conductive rubber and the electric resistance is obtained. A sensor or the like that detects the sole load based on the voltage can be used.

  The level shifter circuit 9 is a circuit that converts the signal level of the sole load detection signal output from each of the load sensors 3, 4, and 5.

  The built-in circuit 6 is a circuit that performs data processing of the sole load output from the load sensors 3, 4, and 5. Details of the built-in circuit 6 will be described later. The data logger 8 is a storage device that stores measurement data generated by the built-in circuit 6 performing data processing on the sole load detected by the load sensors 3, 4, and 5. The power supply unit 7 is a circuit that supplies power to the load sensors 3, 4, 5, the built-in circuit 6, and the data logger 8, and includes a battery 15 and a power feeding circuit 16 (see FIG. 2). Here, a lithium ion battery is used as the battery 15.

  FIG. 2 is a block diagram illustrating a functional configuration of the plantar pressure measuring apparatus 1. In FIG. 2, load sensors 3, 4, 5, built-in circuit 6, power supply unit 7, data logger 8, and level shifter circuit 9 are the same as those in FIG. 1. The built-in circuit 6 includes an interface circuit 11, a representative value calculation unit 12, a state determination unit 13, and an accumulated time update unit 14.

  The interface circuit 11 is a circuit that performs communication between the load sensors 3, 4, 5 and the built-in circuit 6. The representative value calculation unit 12 calculates the maximum value and the average value of the sole load within a predetermined minute time ΔT based on the sole load data output from the load sensors 3, 4, 5.

Hereinafter, the plantar load data output by the load sensors 3, 4, and 5 at time t will be referred to as w ₁ (t), w ₂ (t), and w ₃ (t), respectively. The time _{t k} ~t k + _ΔT in _{w i (t) (i =} 1,2,3) the maximum value and the average value of each _{L max} of, i _{(t k)} and _{L mean,} and i _{(t k)} I write. _Further, it referred _{L max,} i _{(t k)} and _{L mean,} i the average value for each load sensor _{(t k) L max, ave} (t k) and _{L mean,} and _{ave (t k).}

The state determination unit 13 determines the threshold of L _{max, i} (t _k ) and L _{mean, i} (t _k ) in each time interval (t _k , t _k + ΔT), thereby determining the state of the subject in that time interval. Are determined as one of a walking state, a sitting state, and a standing state. The accumulated time update unit 14 calculates accumulated times T _ai , T _bi , T _ci for each state of the walking state, the sitting state, and the standing state, and these are accumulated times T _a stored in the data logger 8. , T _b , T _c , the accumulated times T _a , T _b , T _c stored in the data logger 8 are updated.

  The power supply unit 7 includes a battery 15 and a power feeding circuit 16. The power supply circuit 16 is a circuit that generates a power supply voltage to be supplied to each of the load sensors 3, 4, 5, the built-in circuit 6, and the data logger 8 based on the voltage supplied from the battery.

  The operation of the plantar pressure measuring apparatus 1 of the present embodiment configured as described above will be described below.

First, the actual plantar load waveform measured by the load sensors 3, 4, and 5 will be described. The data obtained by actual measurement is shown in FIG. FIG. 3 shows temporal changes in sole load in each of the sitting position, standing position, and walking states. In FIG. 3, the horizontal axis represents time, and the vertical axis represents the measurement value (unit: mV) of the sole load detection signal. FlexiForce A201-25 manufactured by Nitta Corporation was used for load sensors 3, 4 and 5. For the data logger 8, R8C-15 manufactured by Renaissance Technology Co., Ltd. and micro SD memory 64MB manufactured by IO Data Co., Ltd. were used. The plantar load data output from each of the load sensors 3, 4, and 5 was sampled at a sampling interval t _s = 0.004 _sec . In FIG. 3, the horizontal axis represents time, and the vertical axis represents voltage values output from the load sensors 3, 4, and 5. The voltage value output from the load sensors 3, 4 and 5 is substantially proportional to the sole load. The test subject was a male with a weight of 55 kg, and was measured by changing the state in the order of sitting, standing and walking every minute. The data at each time in FIG. 3 is an average of the maximum value L _{max, i} (t _k ) and the average value L _{mean, i} (t _k ) of the sole load obtained by the load sensors 3, 4, 5. .

3 that the average value L _{max, ave} (t _k ) and the maximum value L _{mean, ave} (t _k ) are small and hardly change when the subject is in the sitting position. Further, the variation of the average value L _{max, ave} (t _k ) is much smaller than the variation of the maximum value L _{mean, ave} (t _k ), and almost no change is observed.
When the subject is in a standing position, L _{max, ave} (t _k ) and L _{mean, ave} (t _k ) vary randomly with a narrow width around a certain value. The fluctuation range at this time is relatively small, and there is no significant difference in the sole load and the fluctuation range between L _{max, ave} (t _k ) and L _{mean, ave} (t _k ).

When the subject is in a walking state, the average value L _{max, ave} (t _k ) changes at a constant walking cycle. At this time, the center (time average value) of the fluctuation of the average value L _{max, ave} (t _k ) is substantially coincident with the fluctuation center (time average value) of the sole load in the standing state. On the other hand, the maximum value L _{mean, ave} (t _k ) has some change components that change with the walking cycle, but is random compared to the change of the average value L _{max, ave} (t _k ). The maximum value L _{mean, ave} (t _k ) is about 2 to 3 times the average value L _{max, ave} (t _k ), and is always kept high.

The data collected by the experiment as shown in FIG. 3 is used as reference data. For this reference data, an average value L _{mean, 1} (t _k ), L _{mean, 2} (t _k ), L _mean, of w ₁ (t), w ₂ (t), w ₃ (t) every _{second . 3} (t _k ), maximum values L _{max, 1} (t _k ), L _{max, 2} (t _k ), L _{max, 3} (t _k ) are calculated. Then, these average values L _{mean, ave} (t _k ), L _{max, ave} (t _k ) are calculated.

Further, the reference data L _{mean, ave} (t _k ), L _{max, ave} (t _k ), [L _{max, ave} (t _k ) −L _mean, Calculate the average value of _ave (t _k )] for one minute. The average value for 1 minute

. Further, the standard deviation for one minute of the reference data L _{mean, ave} (t _k ), L _{max, ave} (t _k ), [L _{max, ave} (t _k ) −L _{mean, ave} (t _k )] is calculated. . The standard deviation for 1 minute

Using these reference values, state determination in actual measurement is performed.

When discriminating the three states of sitting, standing and walking from the measured value of the plantar load in actual measurement, first, from the measured value of the plantar load, the maximum value L _{mean, ave} (t _k per second) ) And the average value L _{max, ave} (t _k ). The following discriminant is used to determine whether this one-second state is a walking state or a sitting or standing state.

When the above formula (3) is established, it is determined that the vehicle is in a walking state. In other cases, it is determined that the patient is in the sitting or standing state. FIG. 4 shows the relationship between the discrimination threshold value on the right side of Equation (3) and actual data. In FIG. 4, the horizontal axis represents time, and the sensor measurement value (unit: mV) of (L _{max, ave} −L _{mean, ave} ).

  When it is determined that the sitting position or the standing state is obtained by the determination of the above expression (3), the sitting position and the standing state are determined using the following expression (4).

When the above formula (4) is established, it is determined that the vehicle is in the standing position. In other cases, it is determined to be in the sitting position. FIG. 5 shows the relationship between the discrimination threshold value on the right side of Equation (4) and actual data. In FIG. 5, the horizontal axis represents time, L _{mean, ave} sensor measurement values (unit: mV).

  FIG. 6 is a flowchart showing the operation of the plantar pressure measuring apparatus according to the first embodiment of the present invention.

  First, the reference values shown in the equations (1a), (1b), (1c), (2a), (2b), and (2c) are measured in advance for the subject and stored in the data logger 8. In this state, the plantar pressure measuring device 1 is attached to the shoe of the subject and measurement is started.

  In step S <b> 1, the built-in circuit 6 reads the reference values shown in the equations (1a), (1 b), (1 c), (2 a), (2 b), and (2 c) from the data logger 8.

In step _S < _b > 2, the built-in circuit 6 initializes the walking state time T _w , sitting state time T _s , and standing state time Te stored in the data logger 8 to zero.

In step S3, the representative value calculation unit 12 samples the sole load w _i (t _k + (j−k) t _s ) (i = 1, 2, 3) detected by the load sensors 3, 4, and 5. And remember. The sampling interval of this time is t _s. Normal, _{t s} is set to about 0.001 to 0.1 seconds. k is an index representing the time at the start of sampling, and j is an index representing the current time.

  In step S4, if the elapsed time since the representative value calculation unit 12 started sampling does not reach ΔT, the process returns to step S3. When the elapsed time reaches ΔT, the process proceeds to the next step S5.

In step S5, the representative value calculation unit 12 calculates the average value L _{mean, i} (t _k ) and the maximum value L _{max, i} (t _k ) based on the sampling data of the plantar load. Further, the average value L _{mean, i} (t _k ), the average value L _{mean, ave} (t _k ), L _{max, ave} (t) of the maximum values L _{max, i} (t _k ) of the load sensors 3, 4, 5. _k ).

In step S6, the state determination unit 13 determines the average value L _{mean, ave} (t _k ) and the maximum value L _{max, ave} (t _k ) of the sole load obtained in the time interval [t _k , t _k + ΔT]. Based on the respective reference values, it is determined whether the state of the subject in the time interval [t _k , t _k + ΔT] is a walking state, a standing state or a sitting state by the determination formula of Formula (3). If it is determined that the vehicle is in the walking state, the process proceeds to the next step S7. If it is determined that the vehicle is in the standing or sitting state, the process proceeds to the next step S8.

In step S7, the cumulative time updating unit 14, the walking state time T _w which is stored in the data logger 8 by addition of [Delta] T, and updates the value of the walking state time T _w. Then, the process returns to step S3.

In step S8, the state determination unit 13 calculates the average value L _{mean, ave} (t _k ) and the maximum value L _{max, ave} (t _k ) of the sole load obtained in the time interval [t _k , t _k + ΔT]. Based on the respective reference values, it is determined whether the state of the subject in the time interval [t _k , t _k + ΔT] is the standing state or the sitting state by the determination formula of Formula (4). Here, when it is determined that the body is in the standing position, the process proceeds to the next step S9, and when it is determined that the body is in the sitting state, the process proceeds to the next step S10.

In step S9, the integrated time updating unit 14 adds the ΔT to stand stored in the data logger 8-position state time T _e, updates the value of the upright position time T _e. Then, the process returns to step S3.

In step S <b> 10, the accumulated time update unit 14 adds ΔT to the sitting state time T _s stored in the data logger 8 to update the value of the sitting state time T _s . Then, the process returns to step S3.

With the above operation, the data logger 8 can obtain the walking state time T _w , the standing state time T _e , and the sitting state time T _s as integrated values.

1 is an external view of a plantar pressure measuring apparatus according to Embodiment 1 of the present invention. 2 is a block diagram illustrating a functional configuration of a plantar pressure measuring device 1. FIG. It is an actual plantar load waveform measured by the load sensors 3, 4, and 5. It is a figure showing the relationship between the discriminant position of the right side of Formula (3), and actual data. It is a figure showing the relationship between the discriminant position of the right side of Formula (4), and actual data. It is a flowchart showing operation | movement of the plantar pressure measuring apparatus which concerns on Example 1 of this invention.

Explanation of symbols

Plantar pressure measuring device 1
Insole 2
Load sensor 3, 4, 5
Built-in circuit 6
Power supply unit 7
Data logger 8
Level shifter circuit 9
Interface circuit 11
Representative value calculation unit 12
State determination unit 13
Accumulated time update unit 14
Battery 15
Feed circuit 16

Claims (3)

A thick insole with a sole shape,
One or more load sensors disposed at a predetermined position of the insole and detecting a load value applied to the position of the insole;
A data logger provided integrally with the insole;
A battery provided integrally with the insole;
A plantar pressure measuring device comprising:
Representative value calculating means for calculating a maximum value L _max and an average value L _mean of the load value within a predetermined minute time ΔT of the load value output from the first load sensor;
Data storage means for converting the maximum value L _max and the average value L _mean using a predetermined algorithm and storing the data in the data logger;
The data storage means
In each minute time ΔT, with respect to a predetermined walking determination threshold α _w and sitting position determination threshold α _s ,
(A) When the difference between the maximum value L _max and the average value L _mean is not less than the walking determination threshold value α _w , the walking state w,
(B) When the difference between the maximum value L _max and the average value L _mean is smaller than the walking determination threshold value α _w and the average value L _mean is equal to or greater than the sitting position determination threshold value α _s ,
(C) the maximum value _{L max} and the difference between the average value _{L mean} is smaller than the walking determination threshold value alpha _w, and the average value _{L mean} that the loci determination threshold value alpha is smaller than _s is sitting state s,
State determining means for determining that
Accumulated times T _{w, i} , T _{s, i} , T _{e, i} for each state of the walking state w, the sitting state s, and the standing state e determined by the state determining unit at predetermined update times. It calculates the accumulated time for each state stored them in the data logger T _w, T _s, in addition to T _e, the data logger stored the integration time T _w, T _s, updating of T _e An accumulated time updating means for performing
For each of the sitting state s, the standing state e, and the walking state w, the time average value for a predetermined time of the maximum value L _max , the average value L _mean, and the difference [L _max −L _mean ] measured in advance ,
Standard deviation
The walking discrimination threshold α _w and the sitting discrimination threshold α _s are
The plantar pressure measuring device is characterized by being set by the above . As the load sensor,
A first load sensor disposed at a lower rib position of the insole and detecting a load value applied to the position of the insole;
A second load sensor disposed at a distal lower portion of the first metatarsal of the insole and detecting a load value applied to the position of the insole;
A third load sensor disposed at a distal lower portion of the fifth metatarsal of the insole and detecting a load value applied to the position of the insole;
With
The representative value calculating means calculates a maximum value L _max and an average value L _mean of the load value within the predetermined minute time ΔT based on the load value output by each load sensor,
2. The plantar pressure according to claim 1, wherein the data storage unit converts the maximum value L _max and the average value L _mean by a predetermined algorithm and then stores the converted value in the data logger. Measuring device. A subject who measures a plantar pressure measuring device comprising a thick insole having a sole shape and one or more load sensors disposed at a predetermined position of the insole and detecting a load value applied to the position of the insole. Based on the load value detected by the load sensor when the subject acts, it is determined whether the subject's state at each time point is a sitting state, a standing state, or a walking state A behavior posture determination method for
A representative value calculating step of calculating a maximum value L _max and an average value L _mean of the load value within a predetermined minute time ΔT of the load value output by the first load sensor;
With respect to the maximum value L _max and the average value L _mean calculated in each minute time ΔT, with respect to a predetermined walking determination threshold value α _w and sitting position determination threshold value α _s ,
(A) When the difference between the maximum value L _max and the average value L _mean is not less than the walking determination threshold value α _w ,
(B) When the difference between the maximum value L _max and the average value L _mean is smaller than the walking determination threshold value α _w and the average value L _mean is equal to or greater than the sitting position determination threshold value α _s ,
(C) a sitting state when a difference between the maximum value L _max and the average value L _mean is smaller than the walking determination threshold value α _w and the average value L _mean is smaller than the sitting position determination threshold value α _s ;
Possess a state determination step of determining that a, a,
For each of the sitting state s, the standing state e, and the walking state w, the time average value for a predetermined time of the maximum value L _max , the average value L _mean, and the difference [L _max −L _mean ] measured in advance ,
Standard deviation
The walking discrimination threshold α _w and the sitting discrimination threshold α _s are
The action posture discrimination method characterized by being set by .