KR102238989B1 - Method for identifying pedestrian steps and user terminal thereof - Google Patents

Abstract

A method of determining a step of a pedestrian is disclosed. The method of determining a step of a pedestrian comprises: a process of acquiring a current absolute acceleration based on the acceleration in the three-axis direction sensed at a preset time interval; a process of obtaining a first difference value between the current absolute acceleration and a previous absolute acceleration; a process of obtaining a gradient of absolute acceleration based on the first difference value and the preset time interval; and a process of increasing the number of steps of the pedestrian when the second difference value between a maximum peak value and a minimum peak value is greater than a preset amplitude threshold value, a previous slope of the absolute acceleration is a positive value, and a current slope of the absolute acceleration is a negative value.

Description

Method for judging a pedestrian's steps and its user terminal {METHOD FOR IDENTIFYING PEDESTRIAN STEPS AND USER TERMINAL THEREOF}

The present invention relates to a method of determining a pedestrian's walking and a user terminal thereof, and to a method of determining a pedestrian's walking based on an acceleration of the pedestrian, and a user terminal thereof.

In general, a map service provided by a mobile app provides the current location of a pedestrian based on a Global Positioning System (GPS). However, when a pedestrian is in a shaded area with GPS, a mobile communication network such as 3G or LTE, or a short-range wireless communication network such as WiFi is not provided, it is difficult to provide the current location to the pedestrian. In this case, the pedestrian may face a sudden turnaround situation, such as getting lost.

Accordingly, various technologies for determining the location of a pedestrian by counting the pedestrian's steps in a situation where a GPS signal is not available have been developed.

For example, Korean Patent Laid-Open Publication No. 10-2012-0020051 (2012.03.07.) compares the acceleration value data DA with the threshold value TH1 to determine whether the portable person of the step measurement device has walked.

As another example, Korean Patent Application Publication No. 10-2017-0111408 (2017.10.12.) provides a method of estimating the location of a moving person using a geomagnetic sensor.

However, since the existing method of determining a pedestrian's step simply compares the pedestrian's acceleration and a threshold to determine the step, or determines the walking direction based on a simple change in the azimuth angle, the reliability of the actual pedestrian's step determination or position determination was low. . In addition, since additional sensing equipment is required, portability is deteriorated and the cost burden is increased.

The present invention has been devised to solve the above-described problem, and provides a more precise and efficient method of determining a pedestrian's steps, such as resetting the amplitude threshold of acceleration for each step and taking into account the slope of the acceleration change in determining the step. In addition, since the sensor included in the user terminal is used, the above-described pedestrian walk determination method can be provided without additional sensing equipment.

A method of determining the walk of a pedestrian according to various embodiments of the present disclosure includes a process of acquiring a current absolute acceleration based on accelerations in the three-axis directions sensed at preset time intervals, and the current absolute acceleration and the previous absolute acceleration. 1 A process of acquiring a difference value, a process of acquiring a slope of absolute acceleration based on the first difference value and the preset time interval, and a second difference value between the maximum peak value and the minimum peak value is greater than a preset amplitude threshold. When the previous slope of the absolute acceleration is large and the previous slope of the absolute acceleration is a positive value and the current slope of the absolute acceleration is a negative value, the step of increasing the number of steps of the pedestrian may be included.

The user terminal for determining the walk of a pedestrian according to various embodiments of the present invention acquires the current absolute acceleration based on the sensing unit and the acceleration in the three-axis direction sensed at a preset time interval, and obtains the current absolute acceleration and the previous absolute acceleration. A first difference value of acceleration is obtained, a slope of absolute acceleration is obtained based on the first difference value and the preset time interval, and a second difference value between the maximum peak value and the minimum peak value is a preset amplitude threshold value. If larger, and the previous slope of the absolute acceleration is a positive value and the current slope of the absolute acceleration is a negative value, a processor that increases the number of steps of the pedestrian may be included.

According to various embodiments of the present disclosure, a more precise and efficient pedestrian step determination method is provided, such as resetting the amplitude threshold of acceleration for each step and taking into account the slope of the acceleration change in determining the step.

In addition, according to various embodiments of the present disclosure, since a method for determining a pedestrian walk uses a sensor included in a user terminal, the above-described method for determining a pedestrian walk can be provided without additional sensing equipment.

1 is a block diagram of a user terminal according to an embodiment of the present invention.
2 is a flowchart of a method for determining a pedestrian's step according to an embodiment of the present invention.
3A and 3B are flowcharts illustrating a method of determining a pedestrian's step according to another embodiment of the present invention.
4 is a flowchart illustrating a process of resetting an amplitude threshold according to an embodiment of the present invention.
5 illustrates a 3-axis acceleration of a user terminal according to an embodiment of the present invention.
6 illustrates a 3-axis acceleration of a user terminal according to another embodiment of the present invention.
7 shows a state of a user terminal according to an embodiment of the present invention.
8 illustrates a 3-axis acceleration of a user terminal according to another embodiment of the present invention.
9 shows a state of a user terminal according to another embodiment of the present invention.
10 illustrates a 3-axis acceleration of a user terminal according to another embodiment of the present invention.
11 is a flowchart of a method for correcting an azimuth angle according to an embodiment of the present invention.
12 illustrates a source code for a method of setting an azimuth angle according to an embodiment of the present invention.
13 shows a state of a user terminal according to an embodiment of the present invention.
14 illustrates a 3-axis acceleration in a Wp-Wls state according to an embodiment of the present invention.
15 illustrates a method for converting 3-axis acceleration according to an embodiment of the present invention.
16 shows the converted 3-axis acceleration according to an embodiment of the present invention.
17 illustrates a method of determining Wp-Wls state conversion according to an embodiment of the present invention.
18 illustrates a 3-axis acceleration in a Wp-Wrs state according to an embodiment of the present invention.
19 shows the converted 3-axis acceleration according to another embodiment of the present invention.
20 illustrates a method of determining Wp-Wrs state conversion according to an embodiment of the present invention.
21 is a block diagram of a detailed configuration of a user terminal according to an embodiment of the present invention.
22 is a flowchart illustrating a method of identifying a purchaser of an item according to an embodiment of the present invention.

Hereinafter, the operating principle of a preferred embodiment of the present invention will be described in detail with reference to the accompanying drawings. In addition, when it is determined that a detailed description of a related known function or configuration may obscure the subject matter of the present disclosure in describing an exemplary embodiment of the present disclosure, a detailed description thereof will be omitted. In addition, terms used in the following are terms defined in consideration of functions in the present invention, which may vary according to the intention or custom of users or operators. Therefore, the definitions of the terms used should be interpreted based on the contents throughout the present specification and functions corresponding thereto.

1 is a block diagram of a user terminal according to an embodiment of the present invention.

Referring to FIG. 1, the user terminal 100 may include a sensing unit 110 and a processor 120. Here, the user terminal 100 may be variously implemented, such as a smart phone, a tablet PC, and a wearable device.

The sensing unit 110 may include at least one of an accelerometer sensor and a magnetic field sensor.

Here, the acceleration sensor may sense dynamic forces such as acceleration, vibration, and impact of an object. Acceleration sensors can be classified into inertial type, gyro type, and silicon semiconductor type. The acceleration sensor may provide acceleration values of the x, y, and z axes when a pedestrian is walking.

The geomagnetic sensor can detect geomagnetism. The geomagnetic sensor may sense the direction of the geomagnetism or may sense the size of the geomagnetism from the vibration period. The geomagnetic sensor may provide magnetic field values of the x, y, and z axes when a pedestrian is walking.

According to various embodiments of the present disclosure to be described later, the processor 120 may determine the number of steps of a pedestrian using the 3-axis acceleration sensed by the acceleration sensor. In addition, the processor 120 may determine the moving direction of the pedestrian using the acceleration sensor and the geomagnetic sensor.

The sensing unit 110 may obtain an absolute acceleration based on the acceleration in the three-axis direction.

Here, the absolute acceleration may be obtained based on Equation 1 below.

Here, x, y, and z are 3-axis accelerations.

The sensing unit 110 may acquire acceleration in the three-axis direction at a preset gap of time. For example, one step of a person is about 0.5 seconds, and in various embodiments of the present invention, which will be described later, the step is determined according to the slope of the absolute acceleration, so it is necessary to acquire accelerations at least three times within 0.5 seconds. In this case, the reference for updating the value of the acceleration sensor of the sensing unit 110 may be set to at least 0.1 seconds.

The sensing unit 110 may acquire an azimuth through geomagnetic sensing. Here, based on the obtained azimuth angle, the traveling direction of the pedestrian may be obtained. For example, the position of the pedestrian may be determined based on the number of steps acquired based on the above-described absolute acceleration and the acquired azimuth angle.

The processor 120 overall controls the user terminal 100. In particular, the processor 120 may determine the pedestrian's step.

Specifically, the processor 120 may obtain a first difference value between the current absolute acceleration and the previous absolute acceleration. The processor 120 may obtain a slope of the absolute acceleration based on the first difference value and a preset time interval. When the second difference value between the maximum peak value and the minimum peak value is greater than a preset amplitude threshold value, the previous slope of the absolute acceleration is a positive value, and the current slope of the absolute acceleration is a negative value, the It can be determined that the number of steps has increased.

Hereinafter, a method of determining the number of steps of a pedestrian will be described in detail with reference to FIGS. 2 to 4.

2 is a flowchart of a method for determining a pedestrian's step according to an embodiment of the present invention.

2, when the sensing unit 110 senses acceleration at preset time intervals, it is assumed that the operation of the user terminal 100 is performed at the first acceleration sensing.

Referring to FIG. 2, the processor 120 acquires a current absolute acceleration based on the 3-axis acceleration obtained from the sensing unit 110 and Equation 1 (201).

The processor 120 obtains a first difference value between the current absolute acceleration and the previous absolute acceleration (202). Here, the previous absolute acceleration may be preset to 0.

The processor 120 may obtain the current slope of the absolute acceleration based on the obtained first difference value and a preset time interval (203). Specifically, the processor 120 may obtain the current slope of the absolute acceleration by dividing the obtained first difference value by a preset time interval.

The processor 120 may set a minimum peak value and a maximum peak value for the amplitude of the absolute acceleration. First, the processor 120 may set the minimum peak value as the acquired current absolute acceleration (204). In addition, the processor 120 may set the maximum peak value as the current absolute acceleration (205). This is because, at the time of the first acceleration sensing, both the smallest absolute acceleration acquired so far and the largest absolute acceleration acquired so far are the same as the acquired current absolute acceleration.

The processor 120 sets or updates the previous absolute acceleration as the current absolute acceleration (206). Here, the previous absolute acceleration is a variable and may be updated for each step.

The processor 120 may set the previous slope of the absolute acceleration as the current slope of the absolute acceleration (207). Here, the previous slope is a variable and may be updated for each step.

3A and 3B are flowcharts illustrating a method of determining a pedestrian's step according to another embodiment of the present invention.

3A and 3B assume that when the sensing unit 110 senses acceleration at preset time intervals, it is an operation process of the user terminal 100 when sensing the second or more acceleration.

Referring to FIG. 3A, the processor 120 acquires a current absolute acceleration based on the 3-axis acceleration obtained from the sensing unit 110 and Equation 1 described above (301).

The processor 120 obtains a first difference value between the current absolute acceleration and the previous absolute acceleration (302).

The processor 120 may obtain the current slope of the absolute acceleration based on the obtained first difference value and a preset time interval (303). Specifically, the processor 120 may obtain the current slope of the absolute acceleration by dividing the obtained first difference value by a preset time interval.

The processor 120 may determine whether the current absolute acceleration is less than the minimum peak value (304).

When the current absolute acceleration is less than the minimum peak value (304-Yes), the processor 120 may set the minimum peak value as the current absolute acceleration (305). In this case, the processor 120 may proceed to process 308.

If the current absolute acceleration is not less than the minimum peak value (304-No), the processor 120 may determine whether the current absolute acceleration is greater than the maximum peak value (306).

If the current absolute acceleration is not greater than the maximum peak value (306-No), the processor 120 may proceed with the reference numeral 308 process.

When the current absolute acceleration is greater than the maximum peak value (306-Yes), the processor 120 may set the maximum peak value as the current peak value (307).

When the maximum peak value is set to the current peak value (307), the processor 120 may proceed with a process reference numeral 308.

The processor 120 may perform process reference number 308, which is a first condition determination process for step determination, and process reference number 309, which is a second condition determination process for step determination, as follows.

The processor 120 may determine whether the second difference value is greater than a preset amplitude threshold (308). Here, the second difference value may be defined as a difference value between the minimum peak value and the maximum peak value. That is, when the maximum value (second difference value) of the amplitude of the absolute acceleration is greater than a preset amplitude threshold value, the processor 120 may determine the establishment of the first condition for determining the step.

When the second difference value is not greater than the preset amplitude threshold (308-No), the processor 120 may perform a process 313.

When the second difference value is greater than the preset amplitude threshold (308-Yes), the processor 120 may determine whether the previous slope of the absolute acceleration is greater than 0 and the current slope of the absolute acceleration is less than 0 (309). ). That is, the processor 120 may determine the establishment of the second condition for determining the step when the absolute acceleration changes in the pedestrian's walking.

If the previous slope of the absolute acceleration is not greater than 0 or the current slope of the absolute acceleration is not less than 0 (309-No), the processor 120 may perform a process of reference numeral 313.

When the previous slope of the absolute acceleration is greater than 0 and the current slope of the absolute acceleration is less than 0 (309-Yes), the processor 120 may reset a preset amplitude threshold (310). Here, process 310 will be described in detail later with reference to FIG. 4.

When the above-described first condition and second condition of the step determination are satisfied, the processor 120 may increase the number of steps of the pedestrian by 1 (311).

The processor 120 may set the minimum peak value to the maximum peak value and set the maximum peak value to 0 (312). In addition, the processor 120 may set the previous absolute acceleration as the current absolute acceleration, and set the previous slope of the absolute acceleration as the current slope of the absolute acceleration (313).

Hereinafter, process 310 described above with reference to FIG. 4 will be described in detail later.

4 is a flowchart illustrating a process of resetting an amplitude threshold according to an embodiment of the present invention.

Referring to FIG. 4, in order to reset the amplitude threshold, the processor 120 may determine whether the current number of steps is less than or equal to a preset number of steps (3101).

When the current number of steps is greater than the preset number of steps (3101-No), the processor 120 may terminate the process and perform process 311 of FIG. 3B.

If the current number of steps is less than or equal to the preset number of steps (3101-Yes), the processor 120 may obtain the sum of the accumulated amplitudes to date by adding the amplitude of the current step to the sum of the amplitudes accumulated up to the previous step. There is (3102). Here, the amplitude may be defined as a difference value between the maximum peak value and the minimum peak value.

The processor 120 may determine whether the current number of steps is equal to the preset number of steps (3103). Here, the preset number of steps may be a predetermined value to set an amplitude threshold according to individual characteristics of the pedestrian. For example, the preset number of steps may be 5.

If the current number of steps is not the same as the preset number of steps (3103-No), the processor 120 may terminate the process and perform process 311 of FIG. 3B.

When the current number of steps is the same as the preset number of steps (3103-Yes), the processor 120 may obtain an average value of the summed amplitude (3104). Here, the average value of the summed amplitude may be defined as an average value obtained by dividing the sum of the amplitudes accumulated up to the current step (or a preset number of steps) by a preset number of steps.

The processor 120 may determine whether the average value of the summed amplitude is greater than a preset amplitude threshold (3105).

When the average value of the summed amplitude is not greater than the preset amplitude threshold (3105-No), the processor 120 may terminate the process and perform process 311 of FIG. 3B.

When the average value of the summed amplitude is greater than the preset amplitude threshold value (3105-Yes), the processor 120 may reset the preset amplitude threshold value to the average value of the summed amplitude (3106).

When the amplitude threshold is reset, the processor 120 may perform process 311.

The accuracy of the pedestrian step determination according to various embodiments of the present disclosure may be improved through the reference number 308 process, which is the first condition determination process for the step determination, and the reference number 309 process, which is the second condition determination process for the step determination. . That is, in determining a pedestrian's step, it is possible to determine a more accurate step by determining the amplitude of the absolute acceleration with respect to the pedestrian's step and the change in the slope of the absolute acceleration.

The pedestrian's moving distance may be obtained through the above-described step determination. For example, the moving distance of the pedestrian may be obtained by multiplying the total number of steps of the pedestrian obtained according to the determination of the pedestrian's steps described above by the stride length. Here, the stride length may be defined as the average stride length for women or the average stride length for men.

Meanwhile, the above-described method of determining a pedestrian's step may further include an additional determination process. Specifically, when the user terminal 100 is rotated while the pedestrian is stopped, an error may occur as it is determined as a step, and the processor 120 may perform a process to prevent this.

5 is a 3-axis acceleration graph in a state in which a pedestrian naturally waving and walking the user terminal 100. 6 is an acceleration graph of a pedestrian walking while holding the user terminal 100 parallel to the ground. Here, FIGS. 5 and 6 are three-axis acceleration graphs for a section corresponding to one step of a pedestrian.

In the case of FIGS. 5 and 6, accelerations of the x-axis, y-axis and z-axis, that is, three axes are repeated in a predetermined pattern.

7 is a case in which the user terminal 100 is rotated with the longitudinal direction of the user terminal 100 as an axis, and the 3-axis acceleration of the user terminal 100 is illustrated as shown in FIG. 8.

9 is a case in which the user terminal 100 is rotated with the width direction of the user terminal 100 as an axis, and the 3-axis acceleration of the user terminal 100 is illustrated as shown in FIG. 10.

In the case of FIGS. 5 and 6 described above, since the 3-axis acceleration forms a constant pattern, the change in the 3-axis acceleration at the start and end of the section is not large.

In contrast, in the case of FIGS. 8 and 10, since the 3-axis acceleration does not form a constant pattern, the change in the 3-axis acceleration is large at the start and end of the section.

That is, FIGS. 8 and 10 are acceleration graphs when the user terminal 100 rotates in a certain direction. Even though it is not an actual step, it is determined as one step of a pedestrian and an error occurs.

Accordingly, when the acceleration of each axis of the 3-axis acceleration changes by more than a certain change at the start and end points of the section, the processor 120 may determine that it is caused by the rotational state of the user terminal 100, not the actual step.

For example, the processor 120 may not determine a step when the value of the axis with the largest amount of change at the start and end points of the three-axis acceleration changes by a predetermined value or more.

In this case, even if the step is increased by one in the process of determining the step of the pedestrian, the processor 120 may determine that it is not a step and decrease the number of steps that have been increased by one by one.

11 is a flowchart of a method for correcting an azimuth angle according to an embodiment of the present invention.

Referring to FIG. 11, the processor 120 may acquire an azimuth angle through the geomagnetic sensor of the sensing unit 110. For example, the processor 120 may acquire and store the previous azimuth (1101). Also, the processor 120 may acquire and store the current azimuth angle. Here, the azimuth angle may be obtained as a radian value. In this case, the processor 120 may convert the unit of the azimuth angle into a degree by multiplying the azimuth angle by a constant of 3.141592/180 (radianConst).

를 더하여 방위각이 0

에서 360

범위가 되도록 할 수 있다(1102).If the current azimuth of the processor 120 is negative, it is 360

Plus the azimuth angle is 0

In 360

The range can be made (1102).

The processor 120 may obtain a difference value between the current azimuth angle and the previous azimuth angle (1103).

The processor 120 may correct the azimuth angle based on the obtained difference value of the azimuth angle (1104).

In the above-described azimuth correction method, the azimuth angle obtained through the geomagnetic sensor of the sensing unit 110 may be distorted due to magnetic force around it. Accordingly, the orientation of the pedestrian may be measured inaccurately.

Accordingly, according to an embodiment of the present invention, by dividing the azimuth angle into 12 zones by 30, the azimuth angle included in each zone may be set as an intermediate value of the corresponding zone (see FIG. 12).

13 shows a state of a user terminal according to an embodiment of the present invention.

Referring to FIG. 13, Wp is a state in which a pedestrian walks while holding the user terminal 100 parallel to the ground. Wrs is a state in which a pedestrian walks while holding the user terminal 100 in his right hand. Wls is a state in which a pedestrian walks while holding the user terminal 100 in his left hand.

14 illustrates a 3-axis acceleration in a Wp-Wls state according to an embodiment of the present invention.

Here, the Wp-Wls state may be defined as a state in which the Wp state and the Wls state are converted.

Referring to FIG. 14, the processor 120 may determine the Wp state or the Wls state based on the x-axis acceleration and the z-axis acceleration among the three-axis accelerations. Specifically, the processor 120 may determine the Wp state or the Wls state according to the sign of the sum of the X-axis acceleration and the Z-axis acceleration (x+z).

15 shows a method of converting the absolute value of (x+z) to a larger value.

을 획득하고, (x+z)가 0보다 작은 경우, (x+z)를 제곱한 값에 마이너스(-)를 취하여

을 획득할 수 있다.Referring to FIG. 15, when (x+z) is greater than 0, by taking the square of (x+z)

Is obtained, and if (x+z) is less than 0, minus (-) to the squared value of (x+z)

Can be obtained.

및

을 도시한다.16 is the above

And

Shows.

은 Wp 상태에 대응되고,

은 Wls 상태에 대응될 수 있다.16, the obtained

Corresponds to the Wp state,

May correspond to the Wls state.

Referring to FIG. 17, it may be determined whether the state of Wp-Wls is changed.

의 진폭 또는

의 진폭의 최대값이고, Pmin은 상술한

의 진폭 또는

의 진폭의 최소값으로 정의될 수 있다. 또한, P1median은 Pmax 및 Pmin의 현재 중간값이고, 및 P2median은 Pmax 및 Pmin의 이전 중간값으로 정의될 수 있다.In FIG. 17, Pmedian may be defined as an intermediate value between Pmax and Pmin. Here, Pmax is the above-described

Amplitude of or

Is the maximum value of the amplitude of, and Pmin is the above-described

Amplitude of or

Can be defined as the minimum value of the amplitude of. Further, P1median may be defined as a current median value of Pmax and Pmin, and P2median may be defined as a previous median value of Pmax and Pmin.

P2median이 0보다 큰 경우, 프로세서(120)는 Wp 상태 및 Wls 상태 변화가 없는 것으로 판단할 수 있다. 17, P1median

When P2median is greater than 0, the processor 120 may determine that there is no change in the Wp state and the Wls state.

P2median이 0보다 크지 않은 경우, 프로세서(120)는 Wp 상태 및 Wls 상태 변화가 있는 것으로 판단할 수 있다.P1median

When P2median is not greater than 0, the processor 120 may determine that there is a change in the Wp state and the Wls state.

Here, when P1median-P2median is greater than 0, the processor 120 may determine that the state has changed from Wls to Wp. Alternatively, when P1median-P2median is not greater than 0, the processor 120 may determine that the state has changed from Wp to Wls.

18 illustrates a 3-axis acceleration in a Wp-Wrs state according to an embodiment of the present invention.

Here, the Wp-Wrs state may be defined as a state in which the Wp state and the Wrs state are converted.

의 크기에 따라 Wp 상태 또는 Wrs 상태를 결정할 수 있다.Referring to FIG. 18, the processor 120 may determine a Wp state or a Wrs state based on the x-axis and y-axis among the three-axis acceleration. Specifically, the processor 120

Depending on the size of the Wp state or Wrs state can be determined.

을 도시한다.19 is the above

Shows.

Referring to FIG. 19, a relatively larger value may correspond to a Wrs state, and a relatively smaller value may correspond to a Wp.

Referring to FIG. 20, it may be determined whether the state of Wp-Wrs is changed. Here, P1median may be defined as a current average value of Pmax and Pmin, and P2median may be defined as a previous average value of Pmax and Pmin.

In FIG. 20, when P1median-P2median is greater than or equal to 120, the processor 120 may determine that the state has changed from the Wp state to the Wrs state.

When P1median-P2median is less than -120, the processor 120 may determine that the Wrs state has changed to the Wp state.

According to various embodiments of the present invention described above, when the user terminal 100 changes to a Wp state, a Wls state, and a Wrs state, the azimuth angle of the user terminal 100 may be distorted. It is possible to correct the distorted azimuth angle by accurately determining a situation in which the conversion or Wp and Wrs states are converted to each other.

For example, when changing from the Wp state to the Wls state and the azimuth angle is not distorted, the last azimuth angle of the Wp state and the initial azimuth angle of the Wls state should be the same. Here, assuming that the last azimuth angle of the Wp state is A and the first azimuth angle of the Wls state is B, the constant k may be defined as follows.

When correcting the azimuth angle, the azimuth angle of the Wls state can be corrected to the azimuth angle of the Wp state by multiplying the azimuth angle by a constant k.

According to various embodiments of the present disclosure described above, a more precise and efficient method of determining a pedestrian's walk may be provided, such as resetting the amplitude threshold of acceleration for each step and taking into account the slope of the acceleration change in determining the step. In addition, since the pedestrian walking determination method uses a sensor included in the user terminal 100, the above-described pedestrian walking determination method can be provided without additional sensing equipment.

21 is a block diagram of a detailed configuration of a user terminal according to an embodiment of the present invention.

Referring to FIG. 21, the user terminal 2100 includes a communication unit 2110, a camera unit 2120, a storage unit 2130, a sensing unit 2140, and a processor 2150.

The communication unit 2110 performs communication. The communication unit 2110 may communicate with an external device through various communication methods such as BT (BlueTooth), WI-FI (Wireless Fidelity), Zigbee, IR (Infrared), and NFC (Near Field Communication).

The camera unit 2120 takes a picture. The camera unit 2120 may include a plurality of cameras, and each of the plurality of cameras may capture a preset area.

The storage unit 2130 may store an O/S (Operating System) software module for driving the user terminal 2100, data for configuring various UI screens provided in the display area, and the like. In addition, the storage unit 2130 is capable of reading and writing.

Since the sensing unit 2140 overlaps with the description of the sensing unit 110 of FIG. 1 described above, a description thereof will be omitted.

The processor 2150 generally controls the operation of the electronic device 900 using various programs stored in the storage unit 2130.

Specifically, the processor 2150 includes a RAM 2151, a ROM 2152, a main CPU 2153, a graphics processing unit 2154, the first to n interfaces 2155-1 to 2155-n, and a bus 2156. Includes.

The RAM 2151, the ROM 2152, the main CPU 2153, the graphic processing unit 2154, the first to n interfaces 2155-1 to 2155-n, and the like may be connected to each other through the bus 2156.

The first to nth interfaces 2155-1 to 2155-n are connected to the above-described various components. One of the interfaces may be a network interface that is connected to an external device through a network.

The main CPU 2153 accesses the storage unit 2130 and performs booting using the O/S stored in the storage unit 2130. In addition, various operations are performed using various programs, contents, data, etc. stored in the storage unit 2130.

The ROM 2152 stores an instruction set for booting the system, and the like. When the turn-on command is input and power is supplied, the main CPU 2153 copies the O/S stored in the storage unit 2150 to the RAM 2151 according to the instruction stored in the ROM 2152 and executes the O/S. Boot the system. When booting is completed, the main CPU 2153 copies various stored application programs to the RAM 2151 and executes the copied application programs in the RAM 2151 to perform various operations.

The graphic processing unit 2154 generates a screen including various objects such as icons, images, and texts using an operation unit and a rendering unit.

22 is a flowchart illustrating a method of identifying a purchaser of an item according to an embodiment of the present invention.

Referring to FIG. 22, the method of determining the walk of a pedestrian according to an embodiment of the present invention includes a process of acquiring a current absolute acceleration 2201 based on acceleration in the 3-axis direction sensed at a preset time interval. The process of acquiring the absolute acceleration and the first difference value of the previous absolute acceleration (2202), the process of obtaining the slope of the absolute acceleration based on the first difference value and a preset time interval (2203), and the maximum peak value and the minimum peak value If the second difference value of is greater than a preset amplitude threshold, the previous slope of the absolute acceleration is a positive value, and the current slope of the absolute acceleration is a negative value, increasing the number of steps of the pedestrian (2204). can do.

Here, when the current absolute acceleration is greater than or equal to the minimum peak value and the current absolute acceleration is greater than the maximum peak value, the maximum peak value may be set as the current absolute acceleration.

In addition, when the current absolute acceleration is less than the minimum peak value, the minimum peak value may be set as the current absolute acceleration.

The above-described preset amplitude threshold may be set as an average value obtained by dividing a value obtained by adding a second difference value for each step of a pedestrian up to a preset number of steps by a preset number of steps.

In the embodiment of the present invention described above, when the above-described average value is greater than the preset amplitude threshold value, the preset amplitude threshold value may be set to the above-described average value.

Here, when the number of steps of a pedestrian is increased, the minimum peak value may be set to the maximum peak value, and the maximum peak value may be set to 0.

In addition, when the number of steps of the pedestrian is increased, the previous absolute acceleration may be set as the current absolute acceleration, and the previous slope may be set as the current slope.

On the other hand, the method for determining the walk of a pedestrian according to various embodiments of the present disclosure described above is implemented as a program code executable by a computer and stored in various non-transitory computer readable media by a processor. It may be provided to each server or devices to be executed.

As an example, a process of acquiring a current absolute acceleration based on acceleration in a 3-axis direction sensed at a preset time interval, a process of acquiring a first difference value between the current absolute acceleration and the previous absolute acceleration, a first difference value and a preset The process of obtaining the slope of the absolute acceleration based on the time interval, and the second difference value between the maximum peak value and the minimum peak value is greater than a preset amplitude threshold, the previous slope of the absolute acceleration is a positive value, and the current of the absolute acceleration. When the slope is a negative value, a non-transitory computer readable medium in which a program for increasing the number of steps of the pedestrian is stored may be provided.

The non-temporary readable medium refers to a medium that stores data semi-permanently and can be read by a device, rather than a medium that stores data for a short moment, such as a register, cache, and memory. Specifically, the above-described various applications or programs may be provided by being stored in a non-transitory readable medium such as a CD, DVD, hard disk, Blu-ray disk, USB, memory card, ROM, or the like.

In addition, although the preferred embodiments of the present disclosure have been illustrated and described above, the present disclosure is not limited to the specific embodiments described above, and the technical field to which the present invention belongs without departing from the gist of the present disclosure claimed in the claims. In addition, various modifications are possible by those of ordinary skill in the art, and these modifications should not be individually understood from the technical idea or perspective of the present disclosure.

User Terminal: 100
Sensing unit: 110
Processor: 120

Claims (14)

In a method for determining a pedestrian's step, performed in a user terminal,
Obtaining a current absolute acceleration based on the acceleration in the three-axis direction sensed at a preset time interval;
Obtaining a first difference value between the current absolute acceleration and the previous absolute acceleration;
Obtaining a slope of absolute acceleration based on the first difference value and the preset time interval; And
If the second difference between the maximum peak value and the minimum peak value is greater than the preset amplitude threshold, the previous slope of absolute acceleration is positive, and the current slope of absolute acceleration is negative, the number of steps of the pedestrian is increased. The process of letting; containing, a method of determining the pedestrian's step.
The method of claim 1,
When the current absolute acceleration is greater than or equal to the minimum peak value and the current absolute acceleration is greater than the maximum peak value, the maximum peak value is set as the current absolute acceleration.
The method according to claim 1 or 2,
When the current absolute acceleration is less than the minimum peak value, the minimum peak value is set as the current absolute acceleration.
The method of claim 1,
The preset amplitude threshold is,
The step determination method of a pedestrian is set as an average value obtained by dividing the sum of the second difference value for each step of the pedestrian up to a preset number of steps by the preset number of steps.
The method of claim 4,
When the average value is greater than the preset amplitude threshold value, the preset amplitude threshold value is set to the average value.
The method of claim 1,
When the number of steps of the pedestrian is increased, the minimum peak value is set to the maximum peak value, and the maximum peak value is set to 0.
The method of claim 6,
When the number of steps of the pedestrian is increased, the previous absolute acceleration is set as the current absolute acceleration, and the previous slope is set as the current slope.
In the user terminal,
Sensing unit; And
Acquires the current absolute acceleration based on the acceleration in the 3-axis direction sensed at a preset time interval,
Obtaining a first difference value between the current absolute acceleration and the previous absolute acceleration, obtaining a slope of the absolute acceleration based on the first difference value and the preset time interval,
If the second difference value between the maximum peak value and the minimum peak value is greater than the preset amplitude threshold, the previous slope of the absolute acceleration is positive, and the current slope of the absolute acceleration is negative, the number of steps of pedestrians is increased. Including; a user terminal.
The method of claim 8,
When the current absolute acceleration is greater than or equal to the minimum peak value and the current absolute acceleration is greater than the maximum peak value, the maximum peak value is set as the current absolute acceleration.
The method according to claim 8 or 9,
When the current absolute acceleration is less than the minimum peak value, the minimum peak value is set as the current absolute acceleration.
The method of claim 8,
The preset amplitude threshold is,
The user terminal is set as an average value obtained by dividing the sum of the second difference value for each step of the pedestrian up to a preset number of steps by the preset number of steps.
The method of claim 11,
When the average value is greater than the preset amplitude threshold value, the preset amplitude threshold value is set to the average value.
The method of claim 8,
When the number of steps of the pedestrian is increased, the minimum peak value is set to the maximum peak value, and the maximum peak value is set to 0.
The method of claim 13,
When the number of steps of the pedestrian is increased, the previous absolute acceleration is set as the current absolute acceleration, and the previous slope is set as the current slope.

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