JP6689578B2 - Information processing apparatus, program, and walking determination method - Google Patents

Description

  The present invention relates to an information processing device, a program, and a walking determination method.

  It is known that the imbalance between the left and right walking motions is an important factor that leads to an increase in the risk of falls and the risk of geriatric disorders (see Non-Patent Document 1).

  Patent Document 1 discloses a technique for determining the left-right balance of a person's walking motion. Specifically, the device according to Patent Document 1 uses an acceleration sensor mounted on a human body to calculate a characteristic amount of an acceleration waveform when walking with a left foot and a characteristic amount of an acceleration waveform when walking with a right foot. By comparing, the left and right balance of the walking motion is determined.

  Patent Document 2 discloses a technique for estimating the walking state of a person in a short time. Specifically, the device according to Patent Document 2 estimates the walking state of the person by calculating the feature amount of the movement of the person in the state before the walking motion becomes steady (the state at the beginning of walking).

JP, 2010-05033, A JP, 2013-94316, A

“Walking factors associated with knee pain, urinary incontinence, and falls in elderly women living in urban areas”, Journal of Nichijou, 50 (4), pp.528-535, 2013.

  The technique disclosed in each of the above-mentioned patent documents needs to measure the walking motion of at least a certain period in order to estimate the left-right balance of the walking motion of a person. For example, the technique disclosed in Patent Document 1 needs to continuously measure the state while the subject is walking. Further, the technique disclosed in Patent Document 2 described above needs to measure the state of motion of the subject from the time when the user starts walking until the walking motion becomes steady.

  The present invention has been made in view of the above problems. An object of the present invention is to provide a technique for analyzing the characteristics of human walking motion by a simple method.

  The information processing apparatus of the present invention includes a detection unit that detects the start of walking of the user, and a determination unit that determines whether the walking of the user whose start has been detected is started by the left foot or the right foot. .

  The gait determination method of the present invention is a method of a user's gait determined by a computer. The walking determination method includes a detection step of detecting the start of the user's walking, and a determination step of determining which of the left foot and the right foot of the user the start of which has been detected starts the walking.

  The program of the present invention is a program that causes a computer to execute the walking determination method of the present invention.

  According to the present invention, a technique for analyzing the characteristics of a person's walking motion by a simple method is provided.

FIG. 3 is a block diagram illustrating an information processing device according to the first embodiment. It is a 1st graph showing the relationship between the deviation of a walk start leg and the change of a user's foot pressure in one walk. 7 is a second graph showing the relationship between the deviation of the walking start foot and the change in the foot pressure of the user during one walk. It is a 3rd graph showing the relationship between the deviation of a walk start leg and the change of a user's foot pressure in 1 walk. It is a block diagram which illustrates the hardware constitutions of the computer which realizes an information processor. This is an example of implementing an information processing apparatus using a plurality of computers. 6 is a flowchart illustrating a flow of processing executed by the information processing apparatus of the first embodiment. It is a graph showing a change in vertical acceleration at the start of walking. It is a graph showing the change of the acceleration in the left-right direction with respect to the traveling direction of the user at the start of walking. 6 is a block diagram illustrating an information processing device according to a second embodiment. FIG. 9 is a flowchart illustrating the flow of processing executed by the information processing apparatus according to the second embodiment. It is a 1st figure which illustrates the information displayed on a display screen. It is a 2nd figure which illustrates the information displayed on a display screen. FIG. 9 is a block diagram illustrating an information processing device according to a third embodiment. 9 is a flowchart illustrating a flow of processing executed by the information processing apparatus according to the third embodiment. It is a figure which illustrates history information in a table format. It is a figure which illustrates a mode that the statistical information which shows the ratio of a walk start foot is displayed on a display screen.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. In all the drawings, the same constituents will be referred to with the same numerals, and the description thereof will not be repeated.

[Embodiment 1]
FIG. 1 is a block diagram illustrating an information processing device 2000 according to the first embodiment. In FIG. 1, each block represents a functional unit, not a hardware unit.

  The information processing device 2000 includes a detection unit 2020 and a determination unit 2040. The detection unit 2020 detects the start of walking of the user. The determination unit 2040 determines whether the walking of the user whose start is detected by the detection unit 2020 is started by the left foot or the right foot. Hereinafter, the foot used at the start of walking will be referred to as a “walking start foot”.

<Action / effect>
The inventor of the present invention has found that "the deviation of the walking start foot and the poor lateral balance of the walking motion have a correlation". Hereinafter, this knowledge will be specifically described.

  2 to 4 are graphs showing the relationship between the deviation of the walking start foot and the change in the foot pressure of the user during one step of walking. Here, “walking one step” means from the step of putting the foot on the ground to the step of separating the foot from the ground. FIG. 2 shows an average of changes in foot pressure relating to the right foot and an average of changes in foot pressure relating to the left foot, which are calculated for a plurality of subjects whose walking start feet are routinely biased to the right foot. FIG. 3 shows an average of changes in foot pressure related to the right foot and an average of changes in foot pressure related to the left foot, which are calculated for a plurality of subjects whose walking start feet are routinely biased to the left foot. FIG. 4 shows the average of changes in foot pressure relating to the right foot and the average of changes in foot pressure relating to the left foot, which are calculated for a plurality of subjects having no daily deviation of the walking start foot. Here, the number of subjects in FIG. 2 is 18, the number of subjects in FIG. 3 is 9, and the number of subjects in FIG. 4 is 11. The X-axis of each graph represents time, and the Y-axis represents the magnitude of foot pressure. The time (value on the X-axis) in FIGS. 2 to 4 is a time normalized with the stance phase period as a reference (100%) in order to capture the time change. The magnitude of the foot pressure (value on the Y axis) in FIGS. 2 to 4 is a value obtained by dividing the measured foot pressure (unit: kgf) by the body weight (unit:%).

  In FIG. 2, when the p value is 0.05, the foot pressure of the left foot is significantly larger than the foot pressure of the right foot. Further, in FIG. 3, when the p value is 0.1, the foot pressure of the right foot is significantly larger than the foot pressure of the left foot. On the other hand, in FIG. 4, there is no significant difference between the foot pressure of the right foot and the foot pressure of the left foot.

  From this, it is understood that, when the walking start foot is biased on a daily basis, the foot pressure of the foot different from the walking start foot becomes larger than the foot pressure of the walking start foot during walking. On the other hand, when the walking start feet are not biased, it can be seen that there is no difference in foot pressure between the left and right feet during walking. Here, a difference in foot pressure between the left and right feet during walking means that the left-right balance of the walking motion of the user is poor. Therefore, it is understood that if the walking start foot is biased, the left-right balance of the walking motion is poor (the bias of the walking start foot and the left-right balance of the walking motion are correlated).

  As described above, it is known that the imbalance between the left and right walking movements is an important factor that leads to an increase in the risk of falls and the risk of senile disorders. Therefore, when the left-right balance of the walking motion is poor, the user preferably improves the walking motion so that the left-right balance of the walking motion becomes good. Since there is a correlation between the deviation of the walking start foot and the poor left-right balance of the walking motion, the user improves the left-right balance of the walking motion by improving the walking motion so as to eliminate the unevenness of the walking start foot. It can be said that you can.

  The information processing device 2000 of the present invention determines a user's walking start foot. Therefore, by using the determination result by the information processing device 2000 of the present embodiment, the user can grasp the bias of the walking start foot. By knowing that the walking start feet are biased, the user can make improvements such as starting walking while consciously eliminating the bias of the walking start feet. As described above, the information processing apparatus 2000 according to the present embodiment can make the user notice that the walking start foot is biased, and thus can support the improvement action to reduce the risk of senile disorders and the like.

  According to the information processing apparatus 2000 of the present embodiment, it is possible to estimate whether the left-right balance of the walking motion of the user is good or bad by a simple method of determining the walking start foot. Therefore, the information processing apparatus 2000 has a shorter processing time and a cost required for mounting (material cost, work man-hours, etc.), as compared with an apparatus or the like that determines right-left balance by observing movement during walking. ) Has the advantage that there are few.

  Hereinafter, the information processing device 2000 of the first embodiment will be described in more detail.

<Hardware configuration example>
Each functional configuration unit of the information processing apparatus 2000 according to the first embodiment may be implemented by hardware that implements each functional configuration unit (for example, a hard-wired electronic circuit or the like), or a combination of hardware and software. It may be realized by a combination (for example, a combination of an electronic circuit and a program that controls the electronic circuit). Hereinafter, a case where each functional component of the information processing device 2000 is realized by a combination of hardware and software will be further described.

  FIG. 5 is a block diagram illustrating a hardware configuration of the computer 1000 that realizes the information processing device 2000. The computer 1000 is a computer used for mounting the information processing apparatus 2000, and is various computers such as a mobile terminal (smartphone or the like), a PC (Personal Computer), or a server machine. The computer 1000 may be a dedicated computer for realizing the information processing device 2000, or may be implemented using a general-purpose computer on which various applications operate.

  The computer 1000 has a bus 1020, a processor 1040, a memory 1060, a storage 1080, and an input / output interface 1100. The bus 1020 is a data transmission path for the processor 1040, the memory 1060, the storage 1080, and the input / output interface 1100 to exchange data with each other. However, the method of connecting the processors 1040 and the like to each other is not limited to bus connection. The processor 1040 is an arithmetic processing device such as a CPU (Central Processing Unit) or DSP (Digital Signal Processor). The memory 1060 is an internal memory including, for example, a RAM (Random Access Memory) or a ROM (Read Only Memory). The storage 1080 is a so-called external storage device such as a memory card, a hard disk, or an SSD (Solid State Drive).

  The input / output interface 1100 is an interface for connecting the computer 1000 and an external device. The external device is, for example, the display screen 10 or the sensor 20. The display screen 10 is used, for example, to present the result of processing by the information processing device 2000 to the user. However, as described later, the method of presenting the result of the processing by the information processing device 2000 to the user is not limited to the method of using the display screen 10. The sensor 20 is a sensor used for analyzing the walking motion of the user, and is, for example, a triaxial acceleration sensor or a pressure sensor. The display screen 10 and the triaxial acceleration sensor may be built in the computer 1000. For example, generally, a smartphone has a built-in display screen and a triaxial acceleration sensor.

  The storage 1080 stores a program for realizing each function of the information processing device 2000. Specifically, the storage 1080 stores a program module that realizes the functions of the detection unit 2020 and the determination unit 2040. The processor 1040 implements the functions of the detection unit 2020 and the determination unit 2040 by executing each of these program modules. For example, the processor 1040 reads these modules onto the memory 1060 and then executes the modules when executing the modules.

  The hardware configuration of the information processing device 2000 is not limited to the configuration shown in FIG. For example, each program module may be stored in the ROM configuring the memory 1060. In this case, the information processing device 2000 does not have to include the storage 1080.

  The information processing device 2000 may be realized using a plurality of computers. FIG. 6 is an example in which the information processing apparatus 2000 is realized by using a plurality of computers. The user terminal 3000 is a terminal that the user has, and is connected to the display screen 10 and the sensor 20. For example, the user terminal 3000 is a smartphone or the like. The server 4000 has the same function and configuration as the computer 1000 described above. The server 4000 acquires the output of the sensor 20 from the user terminal 3000 to detect the start of walking and determine the foot to start walking. Then, the server 4000 transmits the determination result to the user terminal 3000. The user terminal 3000 receives the determination result transmitted from the server 4000 and outputs the determination result to the display screen 10. Note that the information processing device 2000 may be mounted so that the sensor 20 and the server 4000 directly communicate with each other without using the user terminal 3000.

<Process flow>
FIG. 7 is a flowchart illustrating the flow of processing executed by the information processing device 2000 according to the first embodiment. The detection unit 2020 detects the start of walking by the user (S102). The determination unit 2040 determines the walking start foot (S104).

<Details of Processing Executed by Detection Unit 2020>
The detection unit 2020 detects the start of walking by the user (S102). Here, the detection unit 2020 detects the start of walking of the user by using the output of the sensor 20.

<< When using 3-axis acceleration sensor >>
For example, the sensor 20 is a triaxial acceleration sensor. The triaxial acceleration sensor is provided at a position where the sensor output changes according to the walking of the user. For example, the triaxial acceleration sensor is attached to an arbitrary position on the user's body. However, the position where the triaxial acceleration sensor is attached is preferably attached to a position where the sensor output greatly changes according to the walking motion of the user (such as the right waist or the left waist). Also, the triaxial acceleration sensor may be put in a pocket of a user's clothes, a bag, or the like. The method using the triaxial acceleration sensor has an advantage that the sensor can be easily installed. In addition, this method has an advantage that the sensor built in the terminal (smartphone or the like) originally owned by the user can be diverted, so that the cost of newly preparing the sensor can be reduced.

  Even if the position where the triaxial acceleration sensor is attached changes, the traveling direction can be detected, so that the left-right direction can be detected. However, it is preferable to fix the position where the triaxial acceleration sensor can be attached and set the position in the information processing device 2000 in advance.

  The detection unit 2020 uses the sensor output of the triaxial acceleration sensor to determine vertical acceleration, longitudinal acceleration in the traveling direction of the user, or lateral acceleration with respect to the traveling direction of the user. Then, the detection unit 2020 detects the start of walking of the user based on these changes in one or more accelerations. When the user starts walking, the acceleration in the front-rear direction increases. Further, when the user walks, the position of the triaxial acceleration sensor vibrates up and down in the vertical direction, and thus the vertical acceleration vibrates. Therefore, when the user starts walking, the vertical acceleration starts to vibrate. Furthermore, when the user walks, the position of the triaxial acceleration sensor also vibrates in the left-right direction. Therefore, when the user starts walking, the lateral acceleration also starts to vibrate. Therefore, the determination unit 2040 detects the start of walking by detecting such a change in acceleration in the front-rear direction, the vertical direction, or the left-right direction.

  FIG. 8 is a graph showing changes in vertical acceleration at the start of walking. The X-axis represents time and the Y-axis represents vertical acceleration. The solid line graph represents changes in acceleration when the walking start foot is the right foot, and the dotted line graph represents changes in acceleration when the walking start foot is the left foot. The change in the acceleration in the positive direction of the Y axis means that the acceleration is applied in the vertical upward direction. It can be seen from FIG. 8 that the acceleration in the vertical direction greatly vibrates while the user is walking regardless of whether the walking start foot is on the left or right.

  FIG. 9 is a graph showing changes in acceleration in the left-right direction with respect to the traveling direction of the user at the start of walking. The X axis represents time and the Y axis represents lateral acceleration. The solid line graph represents changes in acceleration when the walking start foot is the right foot, and the dotted line graph represents changes in acceleration when the walking start foot is the left foot. The change in the acceleration in the positive direction of the Y axis means that the acceleration is applied in the left direction. It can be seen from FIG. 9 that, regardless of whether the walking start foot is on the left or right, the acceleration in the left and right directions vibrates greatly while the user is walking.

  Here, even when the user does not walk, the acceleration in the vertical direction or the lateral direction may increase. For example, when the user changes the position of the foot while stopped, the vertical and horizontal accelerations change for a short time.

  Therefore, the detecting unit 2020 may detect that “the user's walking has started” when detecting a predetermined number of steps or more (for example, three steps or more). This is because if the detected number of steps is large to some extent, it is considered that the user is walking instead of stopping. Here, it is considered that the vertical acceleration vibrates once when the user walks one step, and the lateral acceleration vibrates once when the user walks two steps (when one step is walked by the left and right feet). Therefore, the detection unit 2020 determines the number of steps based on, for example, the number of times vertical or horizontal acceleration vertically vibrates. Specifically, assuming that the predetermined number of steps is N (N is an arbitrary positive integer), the detection unit 2020 detects that the vertical acceleration vibrates N times or the horizontal acceleration vibrates N / 2 times. In this case, it is determined that the predetermined number of steps have been taken. However, if N / 2 is not an integer, the value rounded up is used. In addition, when detecting the walking start by detecting the walking of the predetermined number of steps or more in this way, the detection unit 2020 detects the start time of the first step (the time when the acceleration in the vertical direction or the horizontal direction is first vibrated). ) Is the start point of walking.

  For example, in the case of the solid line graph in FIG. 8 (where the walking start foot is the right foot), the detection unit 2020 detects the start of walking when three or more steps are taken. In Fig. 8, the vertical acceleration vibrates three times between the time points t0 and t1. Therefore, the detection unit 2020 detects that “the user has started walking at time t0”.

  The detection unit 2020 may detect the start of walking by using two or more types of accelerations in the longitudinal, vertical, and lateral directions. When using two types of acceleration, for example, the detection unit 2020 detects the start of walking when both of the two types of acceleration indicate the start of walking. When three types of acceleration are used, for example, the detection unit 2020 detects the start of walking when all three types of acceleration indicate the start of walking.

<< When using pressure sensor >>
The sensor 20 may be a pressure sensor provided on the sole of the user's foot or shoes. In this case, the detection unit 2020 detects the start of walking of the user based on the sensor output of this pressure sensor. When the user walks, his / her feet are separated from the ground, so the sensor output of the pressure sensor becomes small. After that, by stepping on the ground again with that foot, the output of the pressure sensor increases again. In this way, when the user walks one step, the sensor output of the pressure sensor decreases and then increases.

  Therefore, the detection unit 2020 changes from a state in which there is no significant change in the sensor output of the pressure sensor of each foot to a sensor output of the pressure sensor of one of the feet so as to indicate that the user has walked on that foot (after decreasing). Increase), the start of walking is detected. However, as described above regarding the triaxial acceleration sensor, the detection unit 2020 may detect the start of walking when detecting walking with a predetermined number of steps or more.

<Details of Processing Executed by Judgment Unit 2040>
The determination unit 2040 determines the walking start foot (S104). The method of determining the walking start foot depends on the type of sensor used.

<< When using 3-axis acceleration sensor >>
The determination unit 2040 determines the walking start foot based on the lateral acceleration of the user with respect to the traveling direction. First, the determination unit 2040 uses the sensor output of the triaxial acceleration sensor to determine the acceleration in the left-right direction with respect to the traveling direction of the user. Then, the determination unit 2040 determines the walking start foot based on the calculated change in the acceleration in the left-right direction.

  As described above, when the user walks with the right foot, the position of the triaxial acceleration sensor changes to the right, and when the user walks with the left foot, the position of the triaxial acceleration sensor changes to the left. Therefore, the determination unit 2040 determines the walking start foot by determining which of the leftward acceleration and the rightward acceleration the lateral acceleration has changed at the start of walking. Specifically, the determination unit 2040 determines that the walking start foot is the left foot when the lateral acceleration changes to the left when the walking starts, and the lateral acceleration changes to the right when the walking starts. In this case, it is determined that the walking start foot is the right foot.

  This will be specifically described with reference to FIG. 9 described above. In FIG. 9, the fact that the acceleration changes in the plus direction of the Y axis means that the acceleration is applied to the left. Therefore, in the solid line graph representing the case where the walking start foot is the right foot, the direction in which the acceleration changes greatly first is the negative direction (right direction). On the other hand, in the dotted line graph representing the case where the walking start foot is the left foot, the direction in which the acceleration changes greatly first is the plus direction (left direction). Therefore, the determination unit 2040 first determines the direction in which the acceleration changes greatly and determines that the foot corresponding to that direction is the walking start foot.

<< When using pressure sensor >>
The determination unit 2040 determines the walking start foot based on the sensor output of the pressure sensor. As described above, when the pressure sensor is used, the detection unit 2020 detects that the sensor output of the pressure sensor of one of the feet has walked with the foot from a state in which there is no significant change in the sensor output of the pressure sensor of each foot. More specifically, the walking start foot is determined based on which of the left and right is the one that has changed from a state without pressure to a certain state. However, since the determination as to whether or not the walking has started is performed by detecting several steps of walking, it is possible to determine which foot has undergone the above change retroactively to the beginning of the several steps of walking. preferable. Therefore, the determination unit 2040 sets the foot corresponding to the pressure sensor whose sensor output has changed to indicate walking, as the walking start foot. Here, the "foot corresponding to the pressure sensor" means the foot to which the pressure sensor is attached or the foot to which the shoe is attached.

  The method using the pressure sensor has an advantage in that the output of the pressure sensor installed on each of the left and right feet directly corresponds to the motion of each foot, and thus the walking start foot can be easily determined.

[Embodiment 2]
FIG. 10 is a block diagram illustrating the information processing device 2000 according to the second embodiment. In FIG. 10, each block does not represent a hardware-based configuration but a functional-based configuration. The information processing apparatus 2000 according to the second embodiment has the same configuration as the information processing apparatus 2000 according to the first embodiment, except for the points described below.

  The information processing device 2000 according to the second embodiment further includes an output unit 2060. The output unit 2060 outputs information indicating the walking start foot.

<Hardware configuration example>
For example, the hardware configuration of the information processing apparatus 2000 according to the second embodiment is represented in FIG. 5 as with the information processing apparatus 2000 according to the first embodiment. In the present embodiment, each program module stored in the storage 1080 described above further includes a program that realizes each function described in the present embodiment.

  When the information processing device 2000 is realized by the user terminal 3000 and the server 4000 as shown in FIG. 6, the output unit 2060 may be mounted on the user terminal 3000 or the server 4000. In the latter case, the user terminal 3000 outputs information indicating the walking start foot based on an instruction from the output unit 2060 mounted on the server 4000.

<Process flow>
FIG. 11 is a flowchart illustrating the flow of processing executed by the information processing device 2000 according to the second embodiment. The flowchart of FIG. 11 includes S202 in addition to S102 and S104 shown in FIG. In S202, the output unit 2060 outputs information indicating the walking start foot.

<Details of Processing Executed by Output Unit 2060>
There are various types of information that the output unit 2060 outputs as the determination result of the determination unit 2040. For example, the output unit 2060 outputs information for displaying information indicating the walking start foot on the display screen 10. 12 and 13 are diagrams illustrating examples of information displayed on the display screen 10. In the case of FIG. 12, the output unit 2060 displays on the display screen 10 a message (text information) indicating which of the walking start feet was. In the case of FIG. 13, the output unit 2060 displays the change of the walking start foot on the display screen 10 as graphical information using the foot mark. Here, the foot mark represents the walking start foot. Also, the left-right direction is the time axis direction, and the foot mark displayed on the far right represents the latest walking start foot. It can be seen from FIG. 13 that the walking start feet of the past four walks were “left foot, left foot, right foot, left foot”, respectively, and the tendency that the walking start foot is biased to the left foot can be seen.

  Further, for example, the output unit 2060 outputs information indicating the walking start foot by voice. This information is, for example, a voice message such as "walking started with right foot". For example, it is assumed that the information processing device 2000 is mounted on a smartphone and the user walks while listening to music on the smartphone using headphones. In this case, the output unit 2060 outputs the above voice message from the headphones.

  It is preferable that the output unit 2060 outputs information indicating the walking start foot in real time (immediately after the user starts walking). By doing so, the user can grasp the walking start foot immediately after starting walking. However, the output unit 2060 only needs to display the walking start foot on the display screen 10, and does not necessarily have to display it in real time.

<Action / effect>
According to the information processing device 2000 of the second embodiment, the user can easily understand the bias of the walking start foot by using the output from the output unit 2060. For example, the user can perform an improvement such as confirming the bias of his / her walking start foot while walking and consciously walking to improve the bias.

[Third Embodiment]
FIG. 14 is a block diagram illustrating the information processing device 2000 according to the third embodiment. In FIG. 14, each block represents a functional unit configuration, not a hardware unit configuration. The information processing apparatus 2000 of the third embodiment is the same as the information processing apparatus 2000 of the first or second embodiment except for the points described below.

  The information processing device 2000 according to the third embodiment further includes a generation unit 2080. The generation unit 2080 generates statistical information regarding the bias of the walking start foot of the user. Here, the generation unit 2080 generates this statistical information using the history of the determination result by the determination unit 2040. Hereinafter, the information indicating the history of the determination result by the determination unit 2040 is referred to as history information.

<Hardware configuration example>
For example, the hardware configuration of the information processing apparatus 2000 according to the third embodiment is represented in FIG. 5 as with the information processing apparatus 2000 according to the first embodiment. In the present embodiment, each program module stored in the storage 1080 described above further includes a program that realizes each function described in the present embodiment. The storage 1080 may also store history information. However, the history information may be stored in a storage device provided outside the computer 1000.

  When the information processing device 2000 is realized by the user terminal 3000 and the server 4000 as shown in FIG. 6, the generation unit 2080 may be installed in the user terminal 3000 or the server 4000. . In the latter case, the user terminal 3000 acquires the statistical information from the server 4000. The specific method will be described later.

<Process flow>
FIG. 15 is a flowchart illustrating the flow of processing executed by the information processing device 2000 according to the third embodiment. The generation unit 2080 acquires history information (S302). The generation unit 2080 generates statistical information using the history information (S304).

<Example of history information>
FIG. 16 is a diagram illustrating the history information in a table format. The table in FIG. 16 is called history information 200. The history information 200 has three columns of history ID 202, walking start foot 204, and walking start time 206. The history ID 202 represents a history ID. The walking start foot 204 represents a walking start foot. The walk start time 206 represents the time when the walk was started.

  The history information is stored in a storage device (for example, the storage 1080) provided inside or outside the information processing device 2000. The storage device provided outside the information processing device 2000 is, for example, a storage device (cloud storage or the like) that is communicably connected to the information processing device 2000 via a network. Further, when the information processing device 2000 includes the user terminal 3000 and the server 4000 as shown in FIG. 6, the history information may be stored in the storage device included in the server 4000.

<Details of Processing Executed by Generation Unit 2080>
The generation unit 2080 acquires history information (S302). Specifically, the generation unit 2080 accesses the storage device that stores the above-described history information and acquires the history information. In addition, when the history information is stored in an external server or the like, the generation unit 2080 acquires the history information by transmitting a request to transmit the history information to the server or the like.

  The history information acquired by the generation unit 2080 may be all the history information stored in the storage device, or may be a part of the history information. In the latter case, the generation unit 2080 acquires, for example, only history information in which the walking start time is included within a predetermined period (within one week from the current date and time). This predetermined period may be a fixed value or a value selectable by the user. In the former case, this predetermined period may be set in advance in the program module configuring the generation unit 2080, or may be stored in advance in a storage device such as the storage 1080. In the latter case, the information processing device 2000 receives an input indicating a predetermined period from the user.

  The generation unit 2080 generates statistical information using the history information (S304). The statistical information generated by the generation unit 2080 is various. For example, the generation unit 2080 uses the acquired history information to generate statistical information representing the total number of walks, the number of walks in which the start foot is the right foot, and the number of walks in which the start foot is the left foot. For example, out of 20 walks, the number of walks with the right foot is 15 and the number of walks with the left foot is 5 is 5. In this case, the generation unit 2080 represents that “the total number of walks = 20, the number of walks in which the start foot is the right foot = 15, and the number of walks in which the start foot is the left foot = 5”. Generate statistics.

  Further, for example, the generation unit 2080 may show the ratio of the number of walks instead of the number of walks in the above-mentioned statistical information. For example, in the case of “the number of times the walking start foot is the right foot is 15 times and the number of the walking start foot is the left foot is 5 times” as described above, the generation unit 2080 indicates that The number of walks = 20, the proportion of walking with the right foot as the starting foot = 75%, and the proportion of walking with the left foot as the starting foot = 25% "are generated.

  Here, the generation unit 2080 may generate history information by dividing the history information for each predetermined period based on the walking start time. For example, the generation unit 2080 generates daily statistical information using the daily history information. Specifically, the generation unit 2080 generates daily statistical information such as “statistical information regarding April 20th, statistical information regarding April 19th, ...”. The predetermined period is not limited to one day, and may be various periods such as one hour, one week, and one month.

  By generating the statistical information for each predetermined period, the user can know the deviation of the walking start foot for each predetermined period. For example, if the user is working to improve the bias of the walking start foot, the user can see whether the bias of the walking start foot is improving by looking at the bias of the walking foot for a predetermined period, for example, every week. can do.

  Further, the generation unit 2080 may calculate a statistical value regarding the walking start foot. For example, the generation unit 2080 calculates a statistical value (average value, maximum value, minimum value, median value, mode value, etc.) representing the size with respect to the number of times of walking of each foot or the ratio of the number of times of walking for each predetermined period. . Specifically, the generation unit 2080 says, “total number of walks = 100 times, average value of the proportion of the walking start foot being the left foot = 60%, and average value of the proportion of the walking start foot being the right foot = 40%”. Generate statistics.

  Further, for example, the generation unit 2080 may calculate a statistical value (dispersion or the like) indicating variation in the number of times of walking of each foot or the ratio of the number of times of walking for each predetermined period. Specifically, the generation unit 2080 says, “total number of walks = 100 times, average value of the proportion of the walking start foot being the left foot = 60%, and average value of the proportion of the walking start foot being the right foot = 40%”. Generate statistics.

  Further, the generation unit 2080 determines whether or not there is a statistically significant bias in the bias of the walking start foot (whether or not there is a significant difference between the probability that the walking foot is the right foot and the probability that the walking foot is the left foot). You may make a determination and generate the statistical information which shows the determination result. Further, the information processing apparatus 2000 generates statistical information indicating a determination result that “the walking foot is not biased” if there is no statistically significant bias even if the walking start foot is biased to some extent. May be.

<How to output statistical information>
There are various methods by which the information processing apparatus 2000 presents statistical information to the user. For example, the information processing device 2000 displays the statistical information on the display screen 10. FIG. 17 is a diagram exemplifying a state in which the statistical information indicating the ratio of the walking start feet is displayed on the display screen 10. The method of displaying the statistical information on the display screen 10 is the same as the method of displaying the determination result by the determination unit 2040 on the display screen 10. Further, for example, the information processing device 2000 may notify the user of statistical information by email or the like.

  The presentation of statistical information by the information processing device 2000 may be performed according to a user's operation, or may be performed by the information processing device 2000 on its own.

  Here, it is assumed that the information processing device 2000 is realized by the user terminal 3000 and the server 4000, and the generation unit 2080 is mounted on the server 4000. In this case, for example, the server 4000 transmits statistical information to the user terminal 3000 in response to a request from the user terminal 3000, or push-distributes statistical information to the user terminal 3000.

<Action / effect>
According to the present embodiment, by using the history regarding the walking start foot, the user can grasp the deviation of the walking start foot in detail. Therefore, the user can more positively and efficiently improve the bias of the walking start foot.

  Here, even if there is some deviation in the walking start foot, if there is no statistically significant deviation, it is considered that the deviation is less likely to affect the health of the user. As described above, if the user is presented with the statistical information in consideration of whether or not the bias of the walking start foot is a statistically significant bias, the user determines whether or not to tackle the bias of the walking start foot. You will be able to judge more appropriately.

  Although the embodiments of the present invention have been described above with reference to the drawings, these are merely examples of the present invention, and various configurations other than the above may be adopted.

<1> Detection means for detecting the start of walking of the user,
Determination means for determining which of the left foot and the right foot the user's walking in which the start is detected is started;
Information processing device having a.
<2> The detection unit detects the start of walking by using the acceleration in the front-rear direction in the vertical direction or the traveling direction of the user, which is detected by the triaxial acceleration sensor worn by the user,
The determination means determines whether the user's gait for which the detection of the start is performed is started by the left foot or the right foot, by using the acceleration in the left-right direction with respect to the traveling direction of the user,
The information processing device according to <1>.
<3> The information processing apparatus according to <1> or <2>, wherein the detecting unit determines that the walking of the user is started, when the walking of the user by a predetermined number of steps or more is detected.
<4> There is a determination result output unit that outputs the determination result by the determination unit,
The information processing apparatus according to any one of <1> to <3>.
<5> There is a generating unit that generates statistical information regarding the bias of the foot at which the user starts walking by using the history of the determination result by the determining unit.
The information processing device according to any one of <1> to <4>.
<6> Having statistical information output means for outputting the statistical information,
The information processing device according to <5>.
<7> A method for determining a user's walking, which is executed by a computer,
A detection step of detecting the start of walking of the user,
A determination step of determining whether the walking of the user for which the detection of the start is started is started on the left foot or the right foot;
A method for determining a gait having.
<8> The detection step detects the start of walking by using the acceleration in the front-rear direction in the vertical direction or the traveling direction of the user, which is detected by the triaxial acceleration sensor worn by the user,
The determining step determines whether the walking of the user whose start has been detected is started by the left foot or the right foot by using the acceleration in the lateral direction with respect to the traveling direction of the user,
The walking determination method according to <7>.
<9> The walking determination method according to <7> or <8>, wherein the detection step determines that the walking of the user is started when the walking of the user by a predetermined number of steps or more is detected.
<10> There is a detection result output step of outputting the determination result of the determination step,
<7> to <9> The walking determination method according to any one of the above.
<11> The method according to any one of <7> to <10>, further including a generation step of generating statistical information regarding a bias of a foot at which the user starts walking by using a history of results of the determination in the determination step. How to judge walking.
<12> There is a statistical information output step of outputting the statistical information,
The walking determination method according to <11>.
<13> A program that causes a computer to execute the walking determination method according to any one of <7> to <12>.

10 display screen 20 sensor 200 history information 202 history ID
204 walking start foot 206 walking start time 1000 computer 1020 bus 1040 processor 1060 memory 1080 storage 1100 input / output interface 2000 information processing device 2020 detection unit 2040 determination unit 2060 output unit 2080 generation unit 3000 user terminal 4000 server

Claims (6)

Detection means for detecting the start of walking of the user,
Determination means for determining which of the left foot and the right foot the user's walking in which the start is detected is started;
Using the history of the result of the determination by the determination unit, a generation unit that generates statistical information regarding which of the left foot and the right foot the foot on which the user starts walking is biased ,
Have a,
The detection means detects the start of walking by using the acceleration in the front-rear direction in the vertical direction or the traveling direction of the user, which is detected by a triaxial acceleration sensor worn by the user,
The determining means determines whether the user's walking in which the detection of the start is performed is started by the left foot or the right foot by using the acceleration in the left-right direction with respect to the traveling direction of the user,
The information processing device , wherein the statistical information indicates the number of times or the ratio of walking started with the left foot and walking with the right foot . The information processing apparatus according to claim 1, wherein the detection unit determines that the walking of the user is started when the walking of the user by a predetermined number of steps or more is detected. Having a determination result output means for outputting a determination result by the determination unit, the information processing apparatus according to claim 1 or 2. Wherein a statistical information output means for outputting the statistical information processing apparatus according to any one of claims 1 to 3. A method for determining a user's gait executed by a computer, comprising:
A detection step of detecting the start of walking of the user,
A determination step of determining whether the walking of the user for which the detection of the start is started is started on the left foot or the right foot;
Using the history of the results of the determination by the determination step, a generation step of generating statistical information regarding which of the left foot and the right foot the foot on which the user starts walking is biased ,
Have a,
In the detection step, the start of walking is detected by using the acceleration in the front-rear direction in the vertical direction or the traveling direction of the user, which is detected by the triaxial acceleration sensor worn by the user,
In the determination step, using the acceleration in the left-right direction with respect to the traveling direction of the user, it is determined whether the walking of the user whose start is detected is started by the left foot or the right foot,
The statistical information is a gait determination method that indicates the number or ratio of gait started with the left foot and gait started with the right foot . A program that causes a computer to execute the walking determination method according to claim 5 .

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