JP6458418B2 - Information processing apparatus, behavior parameter calculation method, and program - Google Patents

Description

  The present invention relates to an information processing apparatus, a behavior parameter calculation method, and a program.

2. Description of the Related Art Conventionally, techniques for calculating various behavior parameters such as a pitch during walking and a moving speed during a user's exercise are known.
For example, Patent Document 1 discloses a technique for calculating and displaying a walking pitch and a walking speed in real time based on a period and an amplitude of acceleration data acquired by an acceleration sensor.

JP 2006-118909 A

However, in the technique described in Patent Document 1, the moving average of the acquired acceleration data is calculated in half the time of the assumed walking pitch, and the walking pitch is calculated based on the calculated moving average. For this reason, the technique described in Patent Document 1 is easily influenced by a user's temporary behavior, and the calculated walking pitch is not stable, so that an accurate walking pitch may not always be acquired. On the other hand, a stable walking pitch can be obtained by calculating the moving average of the acquired acceleration data in a predetermined time longer than the assumed walking pitch, but the user's behavior changes from walking to running For example, acceleration data during walking and running are included in the moving average, and the accuracy of the acquired walking pitch is reduced.
That is, in the prior art, it is difficult to calculate the user's behavior parameters such as the walking pitch with high accuracy.

  This invention is made | formed in view of such a condition, and it aims at calculating a user's action parameter with a higher precision.

In order to achieve the above object, an information processing apparatus of one embodiment of the present invention provides:
A physical quantity acquisition means for acquiring a physical quantity generated by a user's action;
Action estimating means for estimating that a change has occurred in the user's action based on the physical quantity acquired by the physical quantity acquiring means;
From the time point when the user's behavior is actually switched to the time difference from when the user's behavior is reflected to the behavior estimation result in the behavior estimation means being stored as a delay amount from the storage unit A delay amount acquisition means for acquiring
Based on the physical quantity acquired by the physical quantity acquiring means, an average value calculating means for calculating an average value of action parameters representing a user's action at a preset time,
Set when said change in behavior of the user by the action estimating means is estimated to have occurred, in accordance with the delay amount obtained by the previous SL delay amount acquisition unit, it sets the range of the set time in the average value calculating means Means,
It is characterized by providing.

  According to the present invention, user behavior parameters can be calculated with higher accuracy.

It is a block diagram which shows the hardware constitutions of the information processing apparatus which concerns on one Embodiment of this invention. It is a functional block diagram which shows the functional structure for performing an action parameter calculation process among the functional structures of the information processing apparatus of FIG. It is a conceptual diagram which shows the calculation method of the average value of an action parameter. It is a flowchart explaining the flow of the action parameter calculation process which the information processing apparatus of FIG. 1 which has the functional structure of FIG. 2 performs. It is a flowchart explaining the flow of the average action parameter calculation process performed as a subflow of action parameter calculation process.

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

[Hardware configuration]
FIG. 1 is a block diagram showing a hardware configuration of an information processing apparatus 1 according to an embodiment of the present invention.
The information processing apparatus 1 is configured as a smartphone terminal, for example.

  The information processing apparatus 1 includes a CPU (Central Processing Unit) 11, a ROM (Read Only Memory) 12, a RAM (Random Access Memory) 13, a bus 14, an input / output interface 15, a GPS unit 16, and a sensor unit. 17, an input unit 18, an output unit 19, a storage unit 20, a communication unit 21, and a drive 22.

  The CPU 11 executes various processes according to a program recorded in the ROM 12 or a program loaded from the storage unit 20 to the RAM 13. For example, the CPU 11 executes behavior parameter calculation processing according to a program for behavior parameter calculation processing described later.

  The RAM 13 appropriately stores data necessary for the CPU 11 to execute various processes.

  The CPU 11, ROM 12, and RAM 13 are connected to each other via a bus 14. An input / output interface 15 is also connected to the bus 14. A GPS unit 16, a sensor unit 17, an input unit 18, an output unit 19, a storage unit 20, a communication unit 21, and a drive 22 are connected to the input / output interface 15.

The GPS unit 16 receives GPS signals from a plurality of GPS (Global Positioning System) satellites including an antenna, and acquires position information of the information processing apparatus 1.
The sensor unit 17 includes various sensors such as a triaxial acceleration sensor and a magnetic sensor.

The input unit 18 includes various buttons and the like, and inputs various types of information according to user instruction operations.
The output unit 19 includes a display, a speaker, and the like, and outputs images and sounds.
The storage unit 20 is configured by a hard disk, a DRAM (Dynamic Random Access Memory), or the like, and stores various image data.
The communication unit 21 controls communication with other devices (not shown) via a network including the Internet.

  A removable medium 31 made of a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is appropriately attached to the drive 22. The program read from the removable medium 31 by the drive 22 is installed in the storage unit 20 as necessary. The removable medium 31 can also store various data such as image data stored in the storage unit 20 in the same manner as the storage unit 20.

[Functional configuration]
Next, among the functional configurations of the information processing apparatus 1, a functional configuration for executing the behavior parameter calculation process will be described with reference to FIG.
FIG. 2 is a functional block diagram showing a functional configuration for executing a behavior parameter calculation process among the functional configurations of the information processing apparatus 1 of FIG.
The behavior parameter calculation process refers to a series of processes for calculating an average value of behavior parameters while dynamically changing a range in which behavior parameters such as a walking pitch are averaged in response to a change in user behavior.

  When the behavior parameter calculation process is executed, as shown in FIG. 2, in the CPU 11, the acceleration acquisition unit 51, the behavior parameter calculation unit 52, the behavior estimation unit 53, the average behavior parameter calculation unit 54, and the display control unit 55 function.

  A delay amount storage unit 71 and a behavior parameter storage unit 72 are set in one area of the storage unit 20.

  The delay amount storage unit 71 stores, as a delay amount, a time difference from when the user's behavior is actually switched to when the information processing device 1 reflects in the behavior estimation result that the user's behavior is switched. The delay amount is a value measured in advance according to an algorithm for estimating the user's behavior.

  The behavior parameter storage unit 72 stores an average value of behavior parameters calculated by an average behavior parameter calculation unit 54 described later.

  The acceleration acquisition unit 51 acquires acceleration data from the sensor unit 17 every predetermined time (for example, every second).

The behavior parameter calculation unit 52 calculates a behavior parameter based on the acceleration data acquired by the acceleration acquisition unit 51.
The behavior parameter is an index indicating the state of various behaviors of the user who uses the information processing apparatus 1, and the behavior parameter (instantaneous value) is calculated every predetermined time (for example, every second) by the behavior parameter calculation unit 52. The The behavior parameters include, for example, a pitch indicating the number of steps in a predetermined time, a user's moving speed, and the like.

The behavior estimation unit 53 estimates the user behavior state based on the acceleration data.
Specifically, the behavior estimation unit 53 determines the user's behavior state (walking, running, stopping, etc.) based on the acceleration peak size and the acceleration peak interval of the acceleration data acquired by the acceleration acquisition unit 51. presume. For example, the behavior estimating unit 53 can estimate the user's behavior state based on whether or not the pattern matches the pattern of acceleration data during walking or running.

  The average behavior parameter calculation unit 54 changes the range (calculation start time and length of the inclusion interval) in which the average value of behavior parameters is calculated according to the user behavior state. At this time, the average behavior parameter calculation unit 54 changes the range for calculating the average value of the behavior parameters by reflecting the delay amount when calculating the behavior parameters. The average behavior parameter calculation unit 54 calculates an average value of the behavior parameters every predetermined time (for example, every 4 seconds as a standard, or less than 4 seconds when there is a change in the user's behavior state). Is stored as an average action parameter.

FIG. 3 is a conceptual diagram showing a method for calculating an average value of behavior parameters. FIG. 3 shows a method of calculating an average value of pitches as an example of behavior parameters. In addition to the pitch, an average value of the moving speed and the moving distance may be calculated.
In FIG. 3, measurement points M0 to M12 indicate points per second on the time axis, starting from the time when the measurement of the pitch (instantaneous value) is started. That is, in the example shown in FIG. 3, the calculation of the pitch is started at the measurement point M0, and the pitch is calculated at each measurement point M0 to M12 every second.
Moreover, the switching point C1 has shown the time of the user's action of the information processing apparatus 1 switching. That is, at the switching point C1, the user's action is switched from walking to running.
The switching point C <b> 2 indicates a time point when the actual switching of the user's behavior at the switching point C <b> 1 is reflected in the estimation result in the behavior estimation unit 53. In this way, the behavior estimation unit 53 estimates behavior switching with the above-described delay amount with respect to actual user behavior switching. Note that the estimated delay amount in the behavior estimation unit 53 is stored in the delay amount storage unit 71.

The average behavior parameter calculation unit 54 calculates the average value of the pitches with an average of the past four seconds (hereinafter referred to as “standard average time” as appropriate) when there is no switching of user behavior.
Here, when the user's action is switched, when the average value of the pitch is calculated in the range R0 in the past 4 seconds (average standard time) as in the case of calculating the average value of the pitch at the measurement point M6, the switching is performed. The average value of the pitch is calculated in a state where walking before the point C1 and running after the switching point C1 coexist.

Therefore, the average behavior parameter calculation unit 54 changes the range for calculating the average value of the pitch in accordance with the behavior state of the user (whether walking or running) and the delay amount of the behavior parameter.
For example, when the average behavior parameter calculation unit 54 calculates the average value of the pitch at the measurement point M6, the behavior estimation unit 53 delays from the switching point C2 (measurement point M6) where the user's behavior is estimated to be traveling. Based on the amount of 2 seconds, the average value of the pitch in the range R1 of the past 2 seconds from the measurement point M4 to the measurement point M6 is calculated.
Further, when calculating the average value of the pitch at the measurement point M7, the average behavior parameter calculation unit 54 delays from the switching point C2 (measurement point M6) that the behavior estimation unit 53 estimated that the user's behavior is running. Based on the amount of 2 seconds, an average value of pitches in the range R2 of the past 3 seconds from the measurement point M4 to the measurement point M7 is calculated.
Here, when the average value of the pitch is calculated at the measurement point M8, the behavior estimation unit 53 traces back the delay amount of 2 seconds from the switching point C2 (measurement point M6) where the user's behavior is determined to be traveling. Also, the action switching point is not included in the range R3 for the past 4 seconds. For this reason, the average behavior parameter calculation unit 54, in the range R3 of the past 4 seconds (standard average time) from the measurement point M4 to the measurement point M8, similarly to the range for calculating the average value when there is no switching of the user's behavior. The average value of the pitch is calculated.

Note that, regarding the measurement point M5, immediately after the behavior parameter calculation unit 52 calculates the instantaneous value of the pitch, the actual behavior switching is not reflected in the estimation result of the user's behavior by the behavior estimation unit 53. Therefore, the average value of the pitch of the measurement point M5 calculated by the average behavior parameter calculation unit 54 is not an accurate value.
Therefore, when it is estimated that the user's behavior has been switched, the average behavior parameter calculation unit 54 retroactively calculates the average pitch value in the range of the delay amount or less, and updates the average pitch value at the measurement point M5. When calculating the average value of the pitch at the measurement point M5, the average behavior parameter calculation unit 54 calculates the average value of the pitch at the measurement point M5 by setting the range for calculating the average value of the pitch as “the past one second”. . However, the average value of the pitch at the measurement point M6 may be adopted as the average value of the pitch at the measurement point M5.

  Returning to FIG. 2, the display control unit 55 displays the average value of the behavior parameter calculated by the average behavior parameter calculation unit 54 on the display of the output unit 19.

[Operation]
Next, the operation will be described.
4 is a flowchart for explaining the flow of behavior parameter calculation processing executed by the information processing apparatus 1 of FIG. 1 having the functional configuration of FIG.
The behavior parameter calculation process is started in response to accepting an operation for instructing the user to start the behavior parameter calculation process, and is repeatedly executed until the end of the behavior parameter calculation process is instructed.

In step S11, the acceleration acquisition unit 51 acquires acceleration data from the sensor unit 17 every elapse of a predetermined time (for example, every second).
In step S12, the behavior estimation unit 53 estimates the user's behavior state based on the acceleration data.

  In step S <b> 13, the behavior parameter calculation unit 52 calculates a behavior parameter (instantaneous value) based on the acceleration data acquired by the acceleration acquisition unit 51.

  In step S14, the average behavior parameter calculation unit 54 executes an average behavior parameter calculation process (see FIG. 5) for calculating an average value of the behavior parameters.

In step S <b> 15, the display control unit 55 displays the calculated average value of behavior parameters (average behavior parameter) on the display of the output unit 19.
After step S15, the behavior parameter calculation process is repeated.

  FIG. 5 is a flowchart for explaining the flow of the average behavior parameter calculation process executed as a subflow of the behavior parameter calculation process.

In step S141, the average behavior parameter calculation unit 54 determines whether or not there is a change in the user behavior state estimated by the behavior estimation unit 53 within the range of the past standard average time from the current time.
If there is a change in the user behavior state estimated by the behavior estimation unit 53, YES is determined in step S141, and the process proceeds to step S142.
On the other hand, when there is no change in the user's behavior state estimated by the behavior estimation unit 53, NO is determined in step S141, and the process proceeds to step S144.

  In step S <b> 142, the average behavior parameter calculation unit 54 determines the user's behavior as the time when the behavior estimation unit 53 estimates that there is a change in the behavior state of the user and traces back the delay amount stored in the delay amount storage unit 71. It is specified as the time when the state actually changed.

  In step S143, the average behavior parameter calculation unit 54 sets the time from when the user behavior state actually changes to the current time as a range for calculating the average value of the behavior parameters.

In step S144, the average behavior parameter calculation unit 54 calculates the average value of behavior parameters in a range in which the average value of behavior parameters is calculated. At this time, at the timing immediately after the behavior estimating unit 53 estimates that the user's behavior state has changed (that is, when the delay amount has elapsed from the actual behavior state change), the average behavior parameter calculating unit 54 Then, the average value of the action parameters at each time point below the delay amount is calculated.
The range for calculating the average value of the behavior parameter is set as a standard average time as an initial value. When the predetermined range is set in step S143, the range set in step S143 is the behavior parameter. This is the range for calculating the average value.
In step S145, the average behavior parameter calculation unit 54 stores the average value of the behavior parameters calculated in step S144 in the behavior parameter storage unit 72.
After step S145, the process returns to the behavior parameter calculation process.

The information processing apparatus 1 configured as described above includes an acceleration acquisition unit 51, a behavior estimation unit 53, and an average behavior parameter calculation unit 54.
The acceleration acquisition unit 51 acquires a physical quantity (acceleration) generated by the user's action.
The behavior estimation unit 53 estimates the user's behavior based on the physical quantity acquired by the acceleration acquisition unit 51.
Based on the physical quantity acquired by the acceleration acquisition unit 51, the average behavior parameter calculation unit 54 calculates an average value of behavior parameters representing the user's behavior at a preset time.
Further, the average behavior parameter calculation unit 54 sets a range of set time based on the estimation result of the behavior estimation unit 53.
Thereby, the range of the setting time for calculating the average value of a user's action parameter is set according to the change of a user's action.
Therefore, the user's behavior parameter can be calculated with higher accuracy.

In addition, when the behavior estimation unit 53 estimates that a change has occurred in the user's behavior, the average behavior parameter calculation unit 54 has an average behavior parameter calculation unit in the range of physical quantities acquired after the change in the user's behavior has occurred. The set time at 54 is set.
Thereby, when a change occurs in the user's action, the average action parameter can be calculated by excluding the physical quantity before the action change.
Therefore, the user's behavior parameter can be calculated with higher accuracy.

In addition, the average behavior parameter calculation unit 54 sets the range of the set time according to the delay time from when the change actually occurs in the user's behavior until the behavior estimation unit 53 acquires the estimation result.
Thereby, even when there is a delay time from when the change actually occurs in the user's behavior until the behavior estimation unit 53 acquires the estimation result, the range of the set time can be set at an appropriate timing. .
Therefore, the user's behavior parameter can be calculated with higher accuracy.

In addition, the average behavior parameter calculation unit 54 uses the behavior estimation unit 53 to calculate the average value within the delay time from when the change actually occurs in the user's behavior until the behavior estimation unit 53 obtains the estimation result. Update after it is estimated that a change has occurred.
Thereby, it is possible to retroactively update the average behavior parameter within the delay time from when the change actually occurs in the user's behavior until the behavior estimation unit 53 acquires the estimation result to an appropriate value.
Therefore, the user's behavior parameter can be calculated with higher accuracy.

Further, the behavior estimation unit 53 estimates whether the user's behavior is a walking state, a running state, or a stopped state based on the physical quantity acquired by the acceleration acquisition unit 51.
Thereby, a user's action can be estimated accurately and a user's action parameter can be computed with higher accuracy.

Further, the average behavior parameter calculation unit 54 calculates an average value of at least one behavior parameter among the pitch, the movement speed, and the movement distance.
Thereby, the average value of a user's action parameter with high utilization value for a user can be calculated more correctly.

Moreover, the acceleration acquisition part 51 acquires the acceleration which generate | occur | produces with a user's action as a physical quantity.
Thereby, the average value of a user's action parameter is computable by the physical quantity which reflects a user's action appropriately.

  In addition, this invention is not limited to the above-mentioned embodiment, The deformation | transformation in the range which can achieve the objective of this invention, improvement, etc. are included in this invention.

In the above-described embodiment, in the information processing apparatus 1, the user's action is estimated based on the acceleration in the action estimating unit 53, but is not limited thereto.
For example, it is good also as performing estimation of a user's action in the action estimation part 53 based on a user's biometric information, such as a myoelectric potential, and the change of a user's positional information.

Further, in the above-described embodiment, the information processing apparatus 1 to which the present invention is applied has been described using a smartphone as an example, but is not particularly limited thereto.
For example, the present invention can be applied to general electronic devices that include an acceleration sensor and can be mounted near the trunk. Specifically, for example, the present invention is applicable to wearable terminals such as pedometers and wrist terminals, portable navigation devices, mobile phones, portable game machines, and the like.

The series of processes described above can be executed by hardware or can be executed by software.
In other words, the functional configuration of FIG. 2 is merely an example and is not particularly limited. That is, it is sufficient that the information processing apparatus 1 has a function capable of executing the above-described series of processing as a whole, and what functional block is used to realize this function is not particularly limited to the example of FIG. .
In addition, one functional block may be constituted by hardware alone, software alone, or a combination thereof.

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

  The recording medium including such a program is not only constituted by the removable medium 31 of FIG. 2 distributed separately from the apparatus main body in order to provide the program to the user, but also in a state of being incorporated in the apparatus main body in advance. It is comprised with the recording medium etc. which are provided in. The removable medium 31 is composed of, for example, a magnetic disk (including a floppy disk), an optical disk, a magneto-optical disk, or the like. The optical disc is composed of, for example, a CD-ROM (Compact Disk-Read Only Memory), a DVD (Digital Versatile Disc), a Blu-ray (registered trademark) Disc (Blu-ray Disc), and the like. The magneto-optical disk is configured by an MD (Mini-Disk) or the like. In addition, the recording medium provided to the user in a state of being preliminarily incorporated in the apparatus main body includes, for example, the ROM 12 in FIG. 1 in which a program is recorded, the hard disk included in the storage unit 20 in FIG.

In the present specification, the step of describing the program recorded on the recording medium is not limited to the processing performed in chronological order according to the order, but is not necessarily performed in chronological order, either in parallel or individually. The process to be executed is also included.
Further, in the present specification, the term “system” means an overall apparatus configured by a plurality of devices, a plurality of means, and the like.

  As mentioned above, although several embodiment of this invention was described, these embodiment is only an illustration and does not limit the technical scope of this invention. The present invention can take other various embodiments, and various modifications such as omission and replacement can be made without departing from the gist of the present invention. These embodiments and modifications thereof are included in the scope and gist of the invention described in this specification and the like, and are included in the invention described in the claims and the equivalents thereof.

The invention described in the scope of claims at the beginning of the filing of the present application will be appended.
[Appendix 1]
A physical quantity acquisition means for acquiring a physical quantity generated by a user's action;
Action estimating means for estimating the user's action based on the physical quantity acquired by the physical quantity acquiring means;
Based on the physical quantity acquired by the physical quantity acquiring means, an average value calculating means for calculating an average value of action parameters representing a user's action at a preset time,
Setting means for setting a range of the set time in the average value calculating means based on the estimation result of the behavior estimating means;
An information processing apparatus comprising:
[Appendix 2]
When the behavior estimating unit estimates that a change has occurred in the user's behavior, the setting unit includes the set time in the average value calculating unit within the range of the physical quantity acquired after the user's behavior has changed. The information processing apparatus according to appendix 1, wherein:
[Appendix 3]
The setting means sets the range of the set time according to a delay time from when a change actually occurs in a user's action to when the action estimating means acquires an estimation result, 2. The information processing apparatus according to 2.
[Appendix 4]
The setting means uses the average value within a delay time from when an actual change occurs in the user's behavior to when the behavior estimation means acquires an estimation result, and when the behavior estimation means causes a change in the user's behavior. The information processing apparatus according to appendix 3, wherein the information processing apparatus is updated after being estimated.
[Appendix 5]
The supplementary notes 1 to 4, wherein the behavior estimating unit estimates whether the user's behavior is a walking state, a running state, or a stopped state based on the physical quantity acquired by the physical quantity acquiring unit. The information processing apparatus according to any one of the above.
[Appendix 6]
The information processing apparatus according to any one of appendices 1 to 5, wherein the average value calculating unit calculates an average value of at least one of the behavior parameters among pitch, moving speed, and moving distance.
[Appendix 7]
The information processing apparatus according to any one of appendices 1 to 6, wherein the physical quantity acquisition unit acquires an acceleration generated by a user action as the physical quantity. [Appendix 8]
A behavior parameter calculation method executed by an information processing apparatus,
A physical quantity acquisition step for acquiring a physical quantity generated by a user's action;
An action estimating step for estimating the action of the user based on the physical quantity acquired in the physical quantity acquiring step;
Based on the physical quantity acquired in the physical quantity acquisition step, an average value calculating step for calculating an average value of action parameters representing a user's action at a preset time,
A set time setting step for setting a range of the set time in the average value calculating step based on the estimation result of the behavior estimating step;
A behavior parameter calculation method comprising:
[Appendix 9]
In the computer that controls the information processing device,
A physical quantity acquisition function for acquiring a physical quantity generated by a user's action;
An action estimation function for estimating the user's action based on the physical quantity acquired by the physical quantity acquisition function;
Based on the physical quantity acquired by the physical quantity acquisition function, an average value calculation function for calculating an average value of action parameters representing a user's action at a preset setting time;
A set time setting function for setting a range of the set time in the average value calculation function based on an estimation result of the behavior estimation function;
A program characterized by realizing.

  DESCRIPTION OF SYMBOLS 1 ... Information processing apparatus, 11 ... CPU, 12 ... ROM, 13 ... RAM, 14 ... Bus, 15 ... Input / output interface, 16 ... GPS part, ... Sensor unit 18 ... Input unit 19 ... Output unit 20 ... Storage unit 21 ... Communication unit 22 ... Drive 31 ... Removable media 51 ... Acceleration Acquisition unit, 52... Behavior parameter calculation unit, 53... Behavior estimation unit, 54... Average behavior parameter calculation unit, 55... Display control unit, 71.・ Behavior parameter storage

Claims (6)

A physical quantity acquisition means for acquiring a physical quantity generated by a user's action;
Action estimating means for estimating that a change has occurred in the user's action based on the physical quantity acquired by the physical quantity acquiring means;
From the time point when the user's behavior is actually switched to the time difference from when the user's behavior is reflected to the behavior estimation result in the behavior estimation means being stored as a delay amount from the storage unit A delay amount acquisition means for acquiring
Based on the physical quantity acquired by the physical quantity acquiring means, an average value calculating means for calculating an average value of action parameters representing a user's action at a preset time,
Set when said change in behavior of the user by the action estimating means is estimated to have occurred, in accordance with the delay amount obtained by the previous SL delay amount acquisition unit, it sets the range of the set time in the average value calculating means Means,
An information processing apparatus comprising: Said activity estimation means, on the basis of the physical quantity obtained by said physical quantity obtaining device, the user's behavior walking conditions, according to claim 1, characterized in that to estimate which of the running state and stopped state Information processing device. It said average value calculating means, the pitch, moving speed, and of the travel distance, the information processing apparatus according to claim 1 or 2, and calculates an average value of at least one of the behavioral parameters. It said physical quantity obtaining means, the information processing apparatus according to any one of claims 1 to 3, characterized in that to obtain the acceleration generated by the actions of the user as the physical quantity. A behavior parameter calculation method executed by an information processing device including a storage unit,
A physical quantity acquisition step for acquiring a physical quantity generated by a user's action;
An action estimating step for estimating that a change has occurred in the user's action based on the physical quantity acquired in the physical quantity acquiring step;
The time difference from when the user's behavior is actually switched to when the user's behavior is reflected in the behavior estimation result in the behavior estimation step is stored as a delay amount from the storage unit. A delay amount acquisition step for acquiring an amount;
Based on the physical quantity acquired in the physical quantity acquisition step, an average value calculating step for calculating an average value of action parameters representing a user's action at a preset time,
Set when said change in behavior of the user by the action estimating step is estimated to have occurred, in accordance with the delay amount obtained by the previous SL delay amount acquisition step, it sets the range of the set time in the average value calculating step A time setting step;
A behavior parameter calculation method comprising: In a computer that controls an information processing apparatus including a storage unit,
A physical quantity acquisition function for acquiring a physical quantity generated by a user's action;
An action estimation function that estimates that a change has occurred in the user's action based on the physical quantity acquired by the physical quantity acquisition function;
The time difference from when the user's behavior is actually switched to when the user's behavior is reflected in the behavior estimation result in the behavior estimation function is stored as a delay amount from the storage unit. Delay amount acquisition function to acquire the amount,
Based on the physical quantity acquired by the physical quantity acquisition function, an average value calculation function for calculating an average value of action parameters representing a user's action at a preset setting time;
Set when said change in behavior of the user by the activity estimation function is estimated to have occurred, in accordance with the delay amount obtained by the previous SL delay amount acquisition function, to set the range of the set time in the average value calculating function Time setting function,
A program characterized by realizing.

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