KR101220156B1 - A method of detecting motionless state of smart phone and the medium recording thereof - Google Patents

Abstract

PURPOSE: A stationary state sensing method for a smart phone and a medium recording a performing program thereof are provided to determine whether the smart phone is in movement or stationary, by using sensor values of various sensors mounted on the smart phone. CONSTITUTION: If the ratio 'Count/n' of the number of 'Count' to the number of collected sensor value records 'n' is greater than a second reference value 'th1'(07), a stationary state is output(08). If the ratio 'Count/n' is less than the second reference value 'th1', a movement state is output(09). Part of the collected sensor value records 'n' are deleted in the collection order(10). Sensor value records are repetitively collected as many as the deleted records(11). Either stationary or movement state is newly output.

Description

A method of detecting a stationary state of a smart phone and a recording medium on which a program on which the method is executed is recorded.

The present invention relates to a smart phone, and more particularly, by detecting whether a smart phone is in a moving state or a stationary state, so that the user's situation can be inferred, and thus can be widely used for application implementation of a smart phone that provides a situation-based service. It relates to a stationary state detection method of a smartphone.

As electrical and electronic technology advances, computer components become smaller and smaller, and computing power and storage capacity are increasing exponentially.

Accordingly, a smart phone provided as a personal portable terminal device also provides various functions at the computer level, and services using the computing power and storage capacity of the smart phone are provided through the smart phone itself. Furthermore, since a smartphone is a personal device, it is possible to provide a customized service for each user by recognizing the user's situation, and these customized services are called context-based services. As a factor to consider the user's situation, various sources such as the location of the terminal, information such as a schedule contained in the terminal, a terminal usage record, and sensor values collected by the terminal are used.

In particular, the determination of whether the terminal is moving or stationary can be used as important information for determining the current situation of the user. For example, when a smartphone holder who is shopping in a market is stopped at a specific location, it may be determined that he or she is interested in a particular product displayed at that location. In addition, if the user is in a stationary state in the exhibition hall, the user may determine that a certain exhibition is currently being viewed.

In this way, by determining whether the smart phone is moving or stationary, the user's situation can be estimated. However, no means for determining whether the smart phone itself is moving or stationary has not been presented to date.

The present invention has been proposed to solve the above problems, and an object of the present invention is to provide a method for determining whether a smart phone is moving or stationary so that it can be widely applied to an application implementation that provides a variety of context-based services. It is done.

In order to achieve the above object, the present invention provides a method for detecting a stationary state of a smart phone performed according to a program, wherein: (a) 'sensor value record' is 'n' at a predetermined time interval from each sensor mounted in the smart phone; Collecting repeatedly; (b) extracting a difference value 'S' of the 'sensor value record' neighboring each other at a time interval; (c) extracting the number 'Count' when the difference value 'S' is smaller than 'x' by comparing with the first reference value 'x'; (d) calculating a ratio 'Count / n' of the 'Count' number to the 'Sensor Value Record' collection number 'n' and comparing the second reference value 'th1'; (e) when the result of the comparison in the step (d), if the 'Count / n' is greater than or equal to the second reference value 'th1' outputs a 'stopped' state, 'Count / n' is the second reference value 'th1' Outputting a 'move' status when less than '; (f) discarding a part of the collection number 'n' of the 'sensor value record' in the order first collected in step (a); And (g) repeatedly collecting the 'sensor value records' by the number discarded in the step (f), and performing the steps (b) to (e) to newly output the stop or move state. (Wherein the first reference value 'x' is preset to an arbitrary change value of the 'sensor value record' in a range that can be determined as stop, and the second reference value 'th1' is determined to be stop Can be preset to any value less than (n-1) / n).

Here, the difference value 'S' is the sum of the differences between neighboring 'sensor value records' for each sensor when the plurality of sensors is present, and the difference between each 'sensor value record' and the reliability of the corresponding sensor are determined. It is the sum of the values multiplied by the weights.

delete

In addition, the present invention includes a computer-readable recording medium in which the stationary state detection method of the smart phone is recorded by a program.

The present invention having the above-described configuration can implement an application that provides a variety of context-based services using such information by determining whether the smart phone is moving or stationary based on the sensor values of various sensors mounted on the smart phone. have.

1 is a diagram illustrating an example of sensors constituting a sensor value record by sensors mounted on a smartphone;
2 is a flowchart illustrating a process of checking whether a smart phone is stopped according to an exemplary embodiment of the present invention.

The technical problem achieved by the present invention and the practice of the present invention will be apparent from the preferred embodiments described below. Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram illustrating an example of sensors constituting a sensor value record by sensors mounted on a smartphone, and FIG. 2 is a flowchart illustrating a process of checking whether a smartphone is stopped according to an exemplary embodiment of the present invention. .

Various types of sensors are mounted inside the smartphone, and as shown in FIG. 1, a GPS sensor, an acceleration sensor, a brightness sensor, a magnetic sensor, a direction sensor, a proximity sensor, a rotation sensor, a gravity sensor, and a linear acceleration sensor are shown in FIG. 1. In addition to the gyro sensor, pressure sensor and temperature sensor, the MAC address and RSSI (Received Signal Strength Index) are installed. Here, the GPS sensor is divided into latitude and longitude fields, and the acceleration sensor, the magnetic sensor, the direction sensor, the rotation sensor, the gravity sensor, the linear acceleration sensor, and the gyro sensors are divided into fields in the X, Y, and Z directions. In addition, the MACI, a unique address for communication, and the RSSI, which is a strength value of a signal transmitted from an access point recorded in a wireless near field communication card, can identify a corresponding smart phone.

The present invention is to determine whether the smart phone is moving or stationary on the basis of the sensor values extracted by the various types of sensors mounted on the smart phone as described above. The stationary state determination in the present invention may be made in a state in which the smart phone is stored in a pocket, stored in a case attached to a belt, held in a hand, or in a state in which the smart phone is held by the user. If the user holding the smart phone is moving, the smart phone is also moving. If the user is stopped, the smart phone is also stopped.

Referring to FIG. 2, a method of detecting a stationary state of a smart phone according to an exemplary embodiment of the present invention will be described in detail. First, a sensor value record is collected from sensors mounted on the smart phone (01). At this time, the field constituting the 'sensor value record' is composed of a plurality of fields such as GPS value, acceleration sensor value, MAC address and RSSI as shown in Figure 1, and collects 'sensor value record' from as many sensors as possible You can increase the accuracy. At this time, the 'sensor value record' is collected a plurality of times at a predetermined time interval (t), it is preferable to collect repeatedly over a large number in order to calculate the accurate result, but the overall time required for collection should be considered. In the present invention, the number of times of collecting the 'sensor value record' is 'n', and thus, 'n' 'sensor value records' are collected by one sensor. This number of repetitions n can be arbitrarily set. In addition, the collection interval 't' of the 'sensor value record' is a time taken to collect the values of all the sensors installed in each smartphone once and may vary according to the type of the smartphone.

Then, the variable for counting the case where the difference between the neighboring 'i' and 'i + 1' 'sensor value record' between the specified time interval (t) is smaller than the constant first reference value (x) ( Count) and set a variable (i) to record how many times you have done this, and initialize each of them to '0'. That is, it initializes to 'Count = 0' and 'i = 0' (02).

Thereafter, it is determined whether the number of times of performing the task of checking whether the difference between neighboring 'sensor value records' is smaller than the first reference value (x) is 'n-1' times (03). This is because the number of 'sensor value records' collected by n iterations is 'n', so the extraction of the difference between two 'sensor values records' adjacent to 'i' and 'i + 1' is total 'n-1'. 'Because meeting is possible. Here, the first reference value (x) is typically a change value of the 'sensor value record' in the range in which the smart phone can be determined as the stationary state, and is preset to an arbitrary value.

Also, for the two neighboring 'sensor value records', the difference between the 'i' th 'sensor value record' and the 'i + 1' th 'sensor value record' is calculated so that the 'difference value' for the entire 'sensor value record' is calculated. (S) 'and determine whether the' difference value 'is equal to or less than the first predetermined reference value' x '(04). In this case, when there is only one sensor, the 'difference value' may be a difference between the 'sensor value record' by only the corresponding sensor, but since a plurality of sensors are mounted, the 'sensor value record' difference by each sensor is different. Is the sum of them.

For example, for a smartphone equipped with sensors as shown in FIG. 1, the 'i' th 'sensor value record' is shown as [Table 1], and the 'i + 1' th 'sensor value record' is shown in [Table 2] If shown as follows, their difference for each term is shown in [Table 3].

 -'i' th sensor value record 0 0 0.04 7.7 9.6 100 -1.08 -46.5 -6.5 ...

 -'i + 1' sensor value record 35.8 129.2 -0.53 6.5 9.4 100 0.01 -50.5 -5.5 ...

-Difference of each 'sensor value record' 35.8 129.2 0.57 1.2 0.2 0 1.09 4 One ...

Since the smart phone is equipped with a plurality of sensors, a 'sensor value record' corresponding to a plurality of sensors is collected, and a 'sensor value record' difference may also appear for each sensor item as shown in [Table 3]. Here, the entire 'difference value' between the 'i' th 'sensor value record' and the 'i + 1' th 'sensor value record' may be expressed as a sum S for each item.

S = 35.8 + 129.2 + 0.57 + 1.2 + 0.2 + 0 + 1.09 + 4 + 1 + ...

.

However, the difference value 'S' is a case where the weights of the sensors are equally set to '1', and the weights of the sensors may vary according to sensitivity. For example, if the values of 'GPS Latitude' and 'GPS Longitude' are unreliable and the value is unreliable, the weight is set to '0', and the difference value is

S = 0 * 35.8 + 0 * 129.2 + 0.57 + 1.2 + 0.2 + 0 + 1.09 + 4 + 1 + ...

Can be obtained as

That is, a low number of weights may be applied to a sensor having low relative reliability, and a high number of weights may be applied to a sensor having high reliability. This weight may be preset for a particular sensor field.

Furthermore, the difference of the 'sensor value record' may be used by squaring a value obtained by subtracting a neighboring 'sensor value record'.

Then, it is determined whether the 'difference value S' is equal to or less than the first constant reference value 'x' (04), counting the number of cases when the first reference value is less than or equal to (05), and the time interval t Counting the number of times (i) the calculation of the difference value (S) of the 'i'-th and' i + 1'-th 'sensor value record' is repeated according to the (i).

On the other hand, when the process is performed for all the 'n-1' neighboring 'sensor value records' that can generate a 'sensor value record' (03), the 'difference value (S)' is a 'reference value' The ratio 'Count / n' of the number (Count) and the total number of sensor values (n) when smaller than (x) 'is compared with the second constant reference value' th1 '(07). Here, the second reference value 'th1' is preset to an arbitrary value that can be determined to be a stop, and is normally set to a smaller value closer to '(n-1) / n'.

As a result of the comparison, the ratio value (Count / n) of the count (Count) when the difference value (S) is smaller than the reference value (x) and the total number of sensor values calculation (n) is the second reference value (th1). If it is greater than or equal to, it is determined as 'stop state' (08), and if it is smaller, it is determined as 'moving state' (09) and the result is output.

On the other hand, after determining whether to stop or move and output, if you want to determine the stop state with a new sensor value discards some of the 'sensor value records' already used (10). Here, one or more of the n 'sensor value records' already used may be discarded, or half may be discarded. However, the discarded 'sensor value record' is preferably discarded sequentially in order of the first 'sensor value record'.

And, if it is desired to determine whether to stop or move anew, the process of collecting new 'sensor value records' by the number of discarded 'sensor value records' may be proceeded again from the beginning.

In the present invention, a process of collecting a 'sensor value record' several times (n) at a predetermined time interval (t) from a plurality of sensor devices mounted on a smartphone, and extracting the difference several times (n-1 ) And repeats whether the difference value S is equal to or smaller than the specific first reference value x or more than the specific second reference value th1, thereby determining whether to stop or move. The above process may be performed according to a predetermined program, and the medium on which the program is recorded may be mounted on a smart phone and used for various purposes.

Whether the stopping or moving of the smart phone determined as described above may be used as an important element for recognizing the situation of the user who owns the smart phone, and thus the present invention can be widely applied to a context-based service providing application. For example, if the smartphone is not moving and the smartphone is in a library or theater, set the smartphone to vibration. If the smartphone is moved in this state, turn off the vibration and set the phone back to ringing mode. An application service may be provided that performs the giving task automatically. In addition, a service such as an application that recognizes that the user's smart phone in the exhibition room is in a stationary state and automatically provides content or information related to the exhibition being viewed by the user may be provided.

Although the embodiments of the present invention have been described with reference to the present invention, those skilled in the art will understand that various modifications and equivalent other embodiments are possible therefrom.

Claims (5)

In the method of detecting a stationary state of a smartphone performed according to a program,
(a) repeatedly collecting 'sensor value records''n' times at predetermined time intervals from each sensor mounted in the smart phone;
(b) extracting a difference value 'S' of the 'sensor value record' neighboring each other at a time interval;
(c) extracting the number 'Count' when the difference value 'S' is smaller than 'x' by comparing with the first reference value 'x';
(d) calculating a ratio 'Count / n' of the 'Count' number to the 'Sensor Value Record' collection number 'n' and comparing the second reference value 'th1';
(e) when the result of the comparison in the step (d), if the 'Count / n' is greater than or equal to the second reference value 'th1' outputs a 'stopped' state, 'Count / n' is the second reference value 'th1' Outputting a 'move' status when less than ';
(f) discarding a part of the collection number 'n' of the 'sensor value record' in the order first collected in step (a); And
(g) repeatedly collecting the number of 'sensor value records' by the number discarded in the step (f), and performing a step (b) to (e) to newly output the stop or move state; How to detect stationary status.
Here, the first reference value 'x' is preset to any change value of the 'sensor value record' in the range that can be determined as stop, and the second reference value 'th1' can be determined to be stop. It is preset to any value less than (n-1) / n.)
The method of claim 1, wherein the difference value 'S',
When there are a plurality of sensors, the stationary state detection method of a smart phone, characterized in that the sum of the differences of the neighboring 'sensor value record' for each sensor.
The method of claim 1, wherein the difference value 'S',
Method of detecting a stationary state of a smartphone, characterized in that the sum of the difference of each 'sensor value record' multiplied by the weight of the reliability of the sensor.
delete A computer-readable recording medium in which a method for detecting a stationary state of a smart phone according to any one of claims 1 to 3 is recorded by a program.

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