KR101702312B1 - Body balancemethod and device usnig mobile device - Google Patents

Abstract

The wearable device includes a communication module that wirelessly communicates with a first external device, a motion sensor that senses a motion of a user, and a controller. The wearable device collects first motion data generated by a user's motion and transmits the first motion data to a first external device, And receives first security level data and second security level data from the first external device and receives only first security level data from the first external device when the wearable device is switched from the wear state to the non-wear state. box.

Description

Technical Field [0001] The present invention relates to a method and an apparatus for measuring a body balance of a portable electronic device,

The present application relates to a method and an apparatus for measuring a body balance of a portable electronic device.

The smart band is a cuff band that can search diverse services such as diary, message, notification, and stock quotes through wireless. Depending on the service, the user can download the data or set his or her account in the web browser.

In recent years, interest in smart bands has increased, and the need for healthcare services through smart bands is also increasing.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a smart band that measures motion of both arms of a user and provides body balance, that is, asymmetric information of a body shape.

Another object of the present invention is to provide a method for measuring a body balance of a smart band, which measures a motion of both arms of a user and provides a body balance, i.e., asymmetric information of a body shape.

Another object of the present invention is to provide a method for measuring the motion of both arms of a user and performing a method of measuring a body balance of a smart band that provides a body balance, And to provide a computer-readable recording medium containing the same.

The problems to be solved by the present invention are not limited to the above-mentioned problems, and other matters not mentioned can be clearly understood by those skilled in the art from the following description.

The method of correcting posture of the wearable device includes the steps of wirelessly communicating with a portable electronic device,

And receiving a first request signal of the portable electronic device.

At this time, the portable electronic device may be in the first security state.

The wearable device posture correcting method includes a first motion data collecting step of collecting motion data generated by a user's motion while a predetermined amount of time or a predetermined amount of data is collected through a motion sensor provided in the wearable device, 1 motion data to the portable electronic device, and receiving a second request signal of the portable electronic device.

At this time, the portable electronic device may be in a second security state.

A second motion data collection step of collecting motion data generated by a user's motion while a predetermined amount of time or a predetermined amount of data is collected through a motion sensor provided in the wearable device; 2 motion data to the portable electronic device, and receiving a third request signal of the portable electronic device.

At this time, the portable electronic device may be in the third security state.

A third motion data collection step of collecting motion data generated by a user's motion while a predetermined amount of time or a predetermined amount of data is collected through a motion sensor provided in the wearable device; 3 motion data to the portable electronic device.

There is an advantage that it is possible to correct the posture of the body and to receive a guide simply by wearing the wearable device without additional circuit or user's separate operation.

BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 is a view of a wearable device and a smart phone associated therewith according to an embodiment of the present invention;
2 is a block diagram showing a device configuration of a wearable device according to an embodiment of the present invention;
3 is a flowchart showing a method of registering biometric authentication information in a wearable device according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating a method of performing biometric authentication based on registered biometric authentication information in a wearable device according to an embodiment of the present invention. FIG.
FIGS. 5 to 8 are views for explaining the scores of the first to third elements, respectively, determined by the control unit of FIG. 2. FIG.
FIG. 9 is a flowchart illustrating a method of determining a motion operation of a smart band according to an embodiment of the present invention.
10 is a flowchart illustrating the normal motion score registration step of the user of FIG.
11 is a view showing a state in which a user wears the smart band of FIG. 2 and moves.
12 to 14 are flowcharts illustrating a method of measuring a body balance of a smart band according to an embodiment of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention, and the manner of achieving them, will be apparent from and elucidated with reference to the embodiments described hereinafter in conjunction with the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as being limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. Is provided to fully convey the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. The dimensions and relative sizes of the components shown in the figures may be exaggerated for clarity of description. Like reference numerals refer to like elements throughout the specification and "and / or" include each and every combination of one or more of the mentioned items.

It is to be understood that when an element or layer is referred to as being "on" or " on "of another element or layer, All included. On the other hand, a device being referred to as "directly on" or "directly above" indicates that no other device or layer is interposed in between.

Spatially relative terms such as "below", "beneath", "lower", "above", "upper" May be used to delineate correlations between my devices or components and other components or components. Spatially relative terms should be understood to include, in addition to the orientation shown in the drawings, terms that include different orientations of the device during use or operation. For example, when inverting an element shown in the figures, an element described as "below" or "beneath" of another element may be placed "above" another element. Thus, the exemplary term "below" can include both downward and upward orientations. The device can also be oriented in different directions, so that terms that are relatively in space can be interpreted according to the orientation.

The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. &Quot; comprises "and / or" comprising "used in the specification do not exclude the presence or addition of one or more other elements in addition to the stated element.

Although the first, second, etc. are used to describe various elements or components, it is needless to say that these elements or components are not limited by these terms. These terms are used only to distinguish one element or component from another. Therefore, it is needless to say that the first element or the constituent element mentioned below may be the second element or constituent element within the technical idea of the present invention.

Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense that is commonly understood by one of ordinary skill in the art to which this invention belongs. Also, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise.

Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings. However, the embodiments of the present invention can be modified into various other forms, and the scope of the present invention is not limited to the embodiments described below. Further, the embodiments of the present invention are provided to more fully explain the present invention to those skilled in the art. The shape and size of elements in the drawings may be exaggerated for clarity.

Hereinafter, a wearable device and its biometric authentication method according to embodiments of the present invention will be described.

1 is a view showing a wearable device and a smart phone associated therewith according to an embodiment of the present invention.

Referring to FIG. 1, the wearable device 100 and the smartphone 110 according to an embodiment of the present invention communicate using local area communication. The wearable device 100 has a form that can be worn on a human body (for example, an arm) using a band or the like, has a motion sensor, generates motion data by measuring the motion of the user through the motion sensor, Based biometric authentication. Accordingly, the user can perform the biometric authentication simply by wearing the wearable device 100 without any additional operation. Because each user moves his / her arm when walking according to the walking pattern, the user's biometric authentication can be performed by measuring the motion of the arm.

2 is a block diagram showing a device configuration of a wearable device according to an embodiment of the present invention.

2, a wearable device 200 according to an embodiment of the present invention includes a control unit 202, an input unit 204, a display unit 206, a motion sensor 208, a biometric authentication unit 210, A memory 212, a communication module 214, and an alarm unit 216.

The controller 202 measures motion of the user through the motion sensor 208, generates motion data, and processes functions of performing biometric authentication of the user based on the motion data.

The input unit 204 may include a plurality of function keys and provides key input data corresponding to a key pressed by the user to the control unit 202. Here, the functions of the input unit 204 and the display unit 206 may be performed by a touch screen unit (not shown). In this case, the touch screen unit (not shown) It is responsible for screen input and graphic screen output through touch screen.

The display unit 206 displays status information generated during operation of the wearable device 200, limited number of characters, a large amount of moving images, still images, and the like. The display unit 206 may use a liquid crystal display (LCD).

The motion sensor 208 is implemented by a sensor such as an acceleration sensor or a gyroscope and is activated periodically or under the control of the biometric authentication unit 210 to measure a user's motion, And provides the generated motion data to the biometric authentication unit 210.

The biometric authentication unit 210 activates the motion sensor 208 to extract a plurality of feature points based on the motion data generated by the biometric authentication unit 210, And performs the biometric authentication of the user based on the distribution state. According to the embodiment, the biometric authentication unit 210 may derive a histogram of the extracted minutiae points, convert the derived histogram into a normalized histogram, and then convert the biometric authentication information of the previously registered user into the normalized histogram It is possible to check whether the error between the biometric authentication information of the previously registered user and the distribution state of the minutiae in the normalized histogram is within the tolerance range by comparing the distribution state of the feature points in the histogram. If the error between the biometric authentication information of the pre-registered user and the distribution state of the minutiae points in the normalized histogram is within the tolerance range, the biometric authentication unit 210 determines that the normalized histogram If the error between the biometric authentication information of the previously registered user and the distribution state of the minutiae points in the normalized histogram does not exist within the tolerance range, the normalized histogram is compared with the biometric information of the user It can be determined that it is not the same as the authentication information.

The biometric authentication unit 210 previously registers the biometric authentication information of the user for comparison with the normalized histogram according to the registration request for the biometric authentication information before performing the biometric authentication of the user. According to an embodiment, the biometric authentication unit 210 activates the motion sensor 208 in response to a registration request for biometric authentication information according to a user's key operation, and generates a plurality of Extracts feature points of the extracted feature points, derives a histogram of the extracted feature points, transforms the derived histogram into a normalized histogram, and registers the normalized histogram as biometric authentication information of the user.

The memory 212 stores microcode of a program for processing and controlling the control unit 202, various reference data, temporary data generated during execution of various programs, and various updatable storage data. Particularly, the memory 212 stores biometric authentication information of an already registered user.

The communication module 214 encodes a signal input from the control unit 202 and transmits the encoded signal to a communication unit such as Bluetooth, ZigBee, Infrared, UWB, WLAN, NFC Near Field Communication), and transmits the decoded signal to the control unit 202. The control unit 202 decodes the signal received from the smart phone through the near field wireless communication.

The alarm unit 216 informs the user of the success / failure of the biometric authentication for the user under the control of the biometric authentication unit 210. Here, the alarm unit 216 may output an alarm to allow the user to recognize the success / failure of the biometric authentication for the user through the sense of the user such as the time and the auditory sense. For example, by using a buzzer or an LED (Light Emitting Diode), a warning sound can be output, or a warning light can be blinked, or the guidance can be displayed through the indicator 206, The alarm can be output.

3 is a flowchart showing a method of registering biometric authentication information in a wearable device according to an embodiment of the present invention.

Referring to FIG. 3, the wearable device, in step 301,

It is checked whether registration of the biometric authentication information is requested.

In step 301, the biometric authentication information is registered in accordance with the key operation of the user

If so, the wearable device activates the motion sensor 208 in step 303 to measure motion of the user for a predetermined time to generate motion data. For example, when the motion sensor is an acceleration sensor, acceleration data for a motion of a user is measured to generate acceleration data. When the motion sensor is a gyroscope, a rotational angular velocity for a user's motion is measured, . Here, the acceleration data includes a 3-axis (x, y, z axis) acceleration component, and the angular velocity data includes a 3-axis angular velocity component.

In step 305, the wearable device extracts a plurality of feature points based on the motion data generated for the motion for the predetermined time. For example, when the motion data is acceleration data, the magnitude of the acceleration may be a minutia, and the magnitude of the acceleration may be calculated by taking a root of a result obtained by squaring and adding the three-axis acceleration components . When the motion data is angular velocity data, the magnitude of the angular velocity can be a feature point. The magnitude of the angular velocity can be calculated by taking the root of the result obtained by squaring and adding the three angular angular velocity components. In addition, the result of the Fourier transform on the magnitude of the acceleration or the magnitude of the angular velocity may be a feature point.

In step 307, the wearable device derives a histogram of the extracted minutiae. The histogram is a graph showing a distribution state of the extracted minutiae.

In step 309, the wearable device converts the derived histogram into a normalized histogram for easy comparison between histograms at the time of performing biometric authentication.

In step 311, the wearable device registers the normalized histogram as biometric authentication information of the user.

Thereafter, the wearable device terminates the algorithm according to the present invention.

4 is a flowchart illustrating a method for performing biometric authentication based on registered biometric authentication information in a wearable device according to an embodiment of the present invention.

Referring to FIG. 4, in step 401, the wearable device periodically checks whether a user's biometric authentication is necessary.

If it is determined in step 401 that the user needs biometric authentication, the smart band activates the motion sensor in step 403, and generates motion data by measuring the motion of the user for a predetermined period of time. For example, when the motion sensor is a gyroscope, acceleration data for a user's motion is measured to generate acceleration data. When the motion sensor is a gyroscope, a rotational angular velocity for a user's motion is measured, . Here, the acceleration data includes three axis (x, y, z axis) acceleration components, and the angular velocity data includes three axis angular velocity components.

In step 405, the wearable device extracts a plurality of feature points based on the motion data generated for the motion for the predetermined time. For example, when the motion data is acceleration data, the magnitude of the acceleration may be a minutia, and the magnitude of the acceleration may be calculated by taking a root of a result obtained by squaring and adding the three-axis acceleration components . When the motion data is angular velocity data, the magnitude of the angular velocity can be a feature point. The magnitude of the angular velocity can be calculated by taking the root of the result obtained by squaring and adding the three angular angular velocity components. In addition, the result of the Fourier transform on the magnitude of the acceleration or the magnitude of the angular velocity may be a feature point.

Then, in step 407, the wearable device derives a histogram of the extracted minutiae points. The histogram is a graph showing a distribution state of the extracted minutiae.

In step 409, the wearable device converts the derived histogram into a normalized histogram.

In step 411, the wearable device compares the biometric authentication information of the previously registered user with the distribution status of the minutiae points in the normalized histogram.

In step 413, the wearable device checks whether the error between the biometric authentication information of the user registered in step 413 and the distribution state of the minutiae points in the normalized histogram is within the tolerance range. For example, the wearable device obtains the difference between the biometric authentication information of the previously registered user (i.e., the normalized histogram of the previously registered user) and each interval in the normalized histogram, takes the absolute value of the difference, A determination is made as to whether or not an error between the biometric authentication information of the previously registered user and the distribution state of the feature points in the normalized histogram exists within the tolerance range by determining a score and determining whether the determined score is below the reference value Can be inspected. Here, the lower the determined score, the higher the similarity between the two normalized histograms. According to an embodiment, the wearable device may include two or more different motion sensors, in which case two or more scores are determined based on motion data generated through two or more motion sensors, and the determined two Determining a final score by adding weights to each of the plurality of score cores and adding the weights to each of the score cores and determining whether the final score is less than or equal to a reference value, It may be inspected whether or not an inter- mediate error exists within an allowable error range.

If the error between the biometric authentication information of the pre-registered user and the distribution state of the minutiae points in the normalized histogram is within the tolerance range in step 413, the wearable device determines that the normalized histogram is registered in step 415 Determines that the biometric authentication information is the same as the user biometric authentication information, and outputs an alarm notifying the user of the success of the biometric authentication.

On the other hand, if the error between the biometric authentication information of the previously registered user and the distribution state of the minutiae points in the normalized histogram is not within the tolerance range in step 413, the wearable device, in step 417, It is determined that the biometric authentication information is not the same as the biometric authentication information of the user, and an alarm indicating the failure of the biometric authentication for the user is output.

Thereafter, the wearable device terminates the algorithm according to the present invention.

The biometric authentication of the user can be performed by extracting the acceleration magnitude as the feature point in the wearable device having the acceleration sensor according to the embodiment of the present invention.

If the wearer wears a wearable device having an acceleration sensor and then simply walks without a separate operation, the wearable device measures acceleration of the user's motion to generate acceleration data, calculates the magnitude of the acceleration based on the acceleration data, Can be extracted. After that, the wearable device derives a histogram of the extracted minutiae points, converts the derived histogram into a normalized histogram, and then outputs the biometric authentication information of the previously registered user (i.e., the normalized histogram of the previously registered user ), And can perform authentication for the user.

The biometric authentication of the user can be performed by extracting the rotational angular velocity magnitude as the feature point in the wearable device having the gyroscope according to an embodiment of the present invention.

When the user wears the wearable device having the gyroscope and then simply walks without any operation, the wearable device measures the angular velocity of rotation of the user to generate angular velocity data, calculates the angular velocity based on the angular velocity data, A plurality of feature points can be extracted. After that, the wearable device derives a histogram of the extracted minutiae points, converts the derived histogram into a normalized histogram, and then outputs the biometric authentication information of the previously registered user (i.e., the normalized histogram of the previously registered user ), And can perform authentication for the user.

The biometric authentication of the user can be performed by extracting the result of performing the Fourier transform on the magnitude of the acceleration or magnitude of the angular velocity as feature points in the wearable device using the acceleration sensor or the gyroscope according to the embodiment of the present invention.

If the wearer wears a wearable device having an acceleration sensor or a gyroscope and then simply walks without any operation, the wearable device measures acceleration or angular velocity of the user's motion to generate acceleration data or angular velocity data, The magnitude of the acceleration or the magnitude of the angular velocity is calculated, and then the Fourier transform is performed to extract a plurality of feature points. After that, the wearable device derives a histogram of the extracted minutiae points, converts the derived histogram into a normalized histogram, and then stores the biometrics authentication information of the previously registered user (i.e., The normalized histogram of the user) to perform authentication for the user.

As described above, the wearable device and its biometric authentication method according to the embodiment of the present invention can be realized by measuring movement of a user through a motion sensor to generate motion data, and performing biometric authentication of the user based on the generated motion data, There is an advantage that the biometric authentication can be performed simply by wearing the wearable device without any additional operation of the wearable device.

Hereinafter, the score of each of the first to third elements determined by the control unit of FIG. 2 will be described with reference to FIGS. 5 to 8. FIG.

FIGS. 5 to 8 are views for explaining the scores of the first to third elements, respectively, determined by the control unit of FIG. 2. FIG.

5 and 6, there is shown a state in which the user swings the arm back and forth when the user is walking. In other words, in general, a person naturally swings his / her arm back and forth (walking direction) while walking, and the angle at which the arm swings back and forth may be different from person to person. Also, the longer it takes to walk one step (ie, the greater the stride is), the more likely it is to force the body.

The first element that serves as a criterion for determining the motion state of the user is in this respect. That is, the score of the first element is determined based on a state S1 in which the user's arm is positioned parallel to the user's body, a first peak angle in the first direction D1 P1 to the second peak angle P2 in the second direction D2 which is the opposite direction to the first direction D1.

More specifically, the angular velocity of the third direction D3 intersecting the first and second directions D1 and D2 (for example, the direction perpendicular to the liquid crystal surface of the display unit 160 of the smart band 100) The first peak angle P1 in the first direction D1 and the second angle D2 in the second direction D2 with respect to the value obtained by integrating the components (i.e., the arm swinging back and forth (first and second directions D2) The score of the first element can be determined based on the travel time between the first peak angle P1 and the second peak angle P2 after extracting the second peak angle P2 of the first peak angle P2. In the case of the present invention, an acceleration component or an angular velocity component is generated

A filter can be used to eliminate the noise generated during integration. Noise

The equation for calculating the score of the first element can be, for example, as shown in Equation (1).

<Formula 1>

Score of the first element = (10000 - ((average of first movement time + average of second movement time) / 2) ^ 2) / 100)

Here, the first movement time and the second movement time may be measured a plurality of times, and the first movement time and the second movement time measured plural times may be set to a specific range (for example, 90 to 110% of the average range) The average of the first movement time and the average of the second movement time can be obtained by extracting the corresponding data, but the present invention is not limited thereto.

As such, the score of the first element can be determined based on the rotational angular velocity for the user's motion, and the larger the sum of the first and second travel times, the smaller the score of the first element can be.

Next, referring to FIG. 6, a user swings his / her arm in and out when walking. That is, in general, a person wanders his / her arm in and out (that is, inside and outside of the body) while walking, and the angle at which the arm is swung in and out may be different from person to person. In addition, the greater the width of moving the arm in and out, the more often the body turns, and the more often the body turns, the more likely it is to put the pelvis on the back.

The second factor that serves as a criterion for determining the motion state of the user is this point. In other words, the score of the second element is determined based on the state (S1 in Fig. 3) in which the user's arm is positioned parallel to the user's body Can be determined based on the first peak displacement DP1 in the fourth direction D4 and the second peak displacement DP2 in the fourth direction D4 opposite to the third direction D3.

More specifically, a value obtained by integrating the acceleration component in the third direction D3 (for example, the direction perpendicular to the liquid crystal surface of the display portion (160 in Fig. 3) of the smart band (100 in Fig. 3) The first peak displacement DP1 in the third direction D3 and the second peak displacement DP4 in the fourth direction D4 with respect to the direction in which the arm is swung in and out (third and fourth directions D4) DP2), and the score of the second element can be determined based on the extracted score.

The equation for calculating the score of the second element may be, for example, as shown in Equation (2).

<Formula 2>

Score of the second element = (50 / (((average of first peak displacement + flatness of second peak displacement

Bacteria) / 2) * 10))

Here, the first peak displacement DP1 and the second peak displacement DP2 can be measured a plurality of times

And the score of the second element can be determined based on the average of the first peak displacement (DP1) and the second peak displacement (DP2) measured a plurality of times.

Thus, the score of the second element can be determined based on the acceleration for the user's motion, and the larger the sum of the first and second peak displacements, the smaller the score of the second element.

Next, referring to FIG. 7 and FIG. 8, it is possible to know whether the user's gait is periodic or whether it is a gait giving a shock to the foot through the frequency analysis of the integrated value of the rotational angular velocity with respect to the motion of the user .

7 and 8 illustrate a third direction (D3 in FIG. 3) (for example, a direction of the smart band 100) that intersects with the first and second directions (D1 and D2 in FIG. 3) And a direction orthogonal to the liquid crystal surface of the display unit 160). The graphs are obtained by performing Fourier transform on the integral values of the angular velocity components.

First, in the case of FIG. 7, a graph showing a good walking result shows that the remaining peaks (for example, the second peak Peak2 and the third peak Peak3) are smaller than the first peak Peak1 It is small.

On the other hand, in the case of FIG. 8, a graph showing a case of bad walking,

7, it can be seen that the remaining peaks (for example, the second peak (Peak2) and the third peak (Peak3)) are larger than the first peak (Peak1).

That is, when there are other peaks other than the main peak (for example, the first peak Peak1) or the other peaks that are present are large, it is possible to perform a gait including many noises, that is, You can say that you are walking.

Therefore, the third factor that is the criterion for determining the motion state of the user is the point of this point. That is, the score of the third element is Fourier-transformed to the value obtained by integrating the rotational angular velocity component in the third direction D3 of FIG. 3, and then the first peak of the frequency domain of the integral value of the rotational angular velocity , The first peak (Peak1), and the remaining peaks (for example, the second and third peaks (Peak3)).

Here, the ratio of (the size of the first peak: the sum of the sizes of the second and third peaks) can be calculated using a specific function (e.g., WalkMeterCalc).

The equation for calculating the score of the third element may be, for example, as shown in Equation (3).

<Formula 3>

The score of the third element = 100 - (WalkMeterCalc (gyro (2,:)) * 50)

Here, the remaining peak is not limited to the second and third peaks,

In addition to the third peak, additional peaks may be included.

Thus, the score of the third element can be determined based on the rotational angular velocity of the user's motion, and the larger the sum of the magnitudes of the remaining peaks except for the first peak, the smaller the score of the third element can be.

In summary, the final score is calculated in the controller (202 in FIG. 2) based on the score of each of the first to third elements calculated by the above-described method, and the controller (202 in FIG. 2) The motion state of the user can be determined by comparing the normal motion score of the user stored in &lt; RTI ID = 0.0 &gt; 212 &lt; / RTI &gt;

Here, the equation for calculating the final score may be, for example, as shown in Equation (4).

<Formula 4>

Final Score = Score of the first element * Score of the second element * Score of the third element / 10000

In addition, the user's normal motion score may be, for example, a specific range of scores rather than a specific score, and if the final score is higher than the user's normal motion score, this may be a healthy gait, If it is lower than the motion score, this may be an unhealthy step.

Also, the alarm unit (216 in FIG. 2) described above can output an alarm to the user when the final score is lower than the normal motion score.

The smart band 100 according to an embodiment of the present invention analyzes the healthy level of the user's gait through the motion sensor 208 and the control unit 202, and when the final score is lower than the normal motion score of the user, An alarm can be provided. In addition, the smart band 100 can assist the user in maintaining a healthy gait by providing an alarm in this way in real time.

Hereinafter, with reference to Figs. 9 and 10,

.

FIG. 9 is a flowchart illustrating a method of determining a motion operation of a smart band according to an embodiment of the present invention.

Fig. 10 is a flowchart illustrating the normal motion score registration step of the user of FIG.

Referring to FIG. 9, the normal motion score of the user is registered (S500).

2 and 10, when registration of a normal motion score is requested (S110) according to a user's key operation, the smart band 100 activates the motion sensor 208, The user's motion is measured for a time period to generate motion data (S520). For example, when the motion sensor 208 is an acceleration sensor, acceleration data for the motion of the user is measured to generate acceleration data. When the motion sensor 208 is a gyroscope, Thereby generating angular velocity data. Here, the acceleration data includes three axis (x, y, z axis) acceleration components, and the angular velocity data includes three axis angular velocity components.

Next, the score of each of the first to third elements is determined based on the motion data generated for the motion for the predetermined time (S530).

Specifically, the determination of the score of the first element is performed based on the state (S1 in FIG. 5) in which the user's arm is positioned parallel to the user's body in a first direction 5) in the second direction (D2 in Fig. 5) opposite to the first direction (D1 in Fig. 5) to the first peak angle (P1 in Fig. 5) Measuring the second travel time to a crown angle (P2 in FIG. 5) a plurality of times, and determining the score of the first element based on an average of each of the first and second travel times measured multiple times .

The determination of the score of the second element is based on the state (S1 in FIG. 6) in which the user's arm is positioned in parallel with the user's body in the first direction 6) in the third direction (D3 in Fig. 6) and the fourth direction (D4 in Fig. 6) opposite to the third direction (D3 in Fig. 6) The second peak displacement (DP2 in Fig. 6) is measured a plurality of times and the score of the second element is determined based on the average of each of the first and second peak displacements (DP1 and DP2 in Fig. 6) &Lt; / RTI &gt;

The determination of the score of the third element is performed by converting the integral value of the rotational angular velocity with respect to the motion of the user into the frequency domain through Fourier transform and calculating the magnitude of the remaining peak with respect to the size of the first peak in the frequency domain of the integral value of the rotational angular velocity And determining the score of the third element based on the sum ratio of the third element.

Next, a final score is calculated (S540).

Specifically, the control unit 202 may calculate the final score by summing the scores of the respective first to third elements.

Finally, the final score is registered as a normal motion score (S550). Specifically, the control unit 202 may register the calculated final score as the normal motion score of the user and store the calculated final score in the memory 212.

2 and 9, the motion of the user is measured (S600). Specifically, after the normal motion score of the user is registered (S500), the motion sensor 208 is activated periodically or under the control of the control unit 202, thereby measuring the motion of the user for a predetermined time, Lt; / RTI &gt; For example, when the motion sensor 208 is an acceleration sensor, the acceleration data for the user's motion is measured to generate acceleration data. If the motion sensor 208 is a gyroscope, To generate angular velocity data. Here, the acceleration data includes three axis (x, y, z axis) acceleration components, and the angular velocity data includes three axis angular velocity components.

Then, the score of each of the first to third elements is determined based on the motion data generated for the motion for the predetermined time (S700).

Specifically, the score of the first element is determined based on a state (S1 in Fig. 5) in which the user's arm is positioned parallel to the user's body in a first direction 5) in the first direction (D1 in Fig. 5) opposite to the first direction (D1 in Fig. 5) to the first peak angle (P1 in Fig. 5) Measuring the second travel time to a two-peak angle (P2 in FIG. 5) a plurality of times, and determining the score of the first element based on an average of each of the plurality of measured first and second travel times .

The determination of the score of the second element is based on the state (S1 in Fig. 6) in which the user's arm is positioned parallel to the user's body in a first direction The first peak displacement (DP1 in Fig. 6) in the third direction (D3 in Fig. 6) and the fourth direction (D4 in Fig. 6) opposite to the third direction (DP2 in Fig. 6) is measured a plurality of times, and the score of the second element is determined based on the average of each of the first and second peak displacements (DP1 and DP2 in Fig. 6) Lt; / RTI &gt;

The determination of the score of the third element is performed by converting the integral value of the rotational angular velocity with respect to the motion of the user into the frequency domain through Fourier transform and calculating the magnitude of the remaining peak with respect to the size of the first peak in the frequency domain of the integral value of the rotational angular velocity And determining the score of the third element based on the sum ratio of the third element.

Next, a final score is calculated (S800).

Specifically, the control unit 202 may calculate the final score by summing the scores of the respective first to third elements.

The final score and the normal motion score are compared (S900).

Specifically, the control unit 202 may compare the final score with the normal motion score stored in the memory 212 to determine whether the final score is less than the normal motion score (S1000).

If the final score is smaller than the normal motion score, the control unit 202 sends a signal to the alarm unit 216, and the alarm unit 216 outputs an alarm to the user (S1100). If the final score is equal to or greater than the normal motion score, the control unit 202 may not send a signal to the alarm unit 216, but the present invention is not limited thereto. That is, even if the final score is equal to or greater than the normal motion score, the control unit 202 can send a signal to the alarm unit 216, so that the alarm unit 216 can output an alarm to the user. Of course, in this case, if the alarm output to the user by the alarm unit 216 is smaller or larger than the normal motion score, the alarm can be output differently.

After that, the smart band 100 ends the algorithm according to the embodiment of the present invention.

The method of determining the motion state of a smart band according to the embodiments of the present invention described above can also be implemented as a computer-readable code or a program on a computer-readable recording medium. A computer-readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored. That is, the computer-readable recording medium may include program commands, data files, data structures, and the like, alone or in combination. Program instructions to be recorded on a recording medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. Examples of the computer-readable recording medium include a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like, and also implemented in the form of a carrier wave (for example, transmission over the Internet) . The computer-readable recording medium may also be distributed over a networked computer system so that computer readable code is stored and executed in a distributed manner.

11, the directional axes D1 and D2 of the first and second rotational angular velocity integral values intersect with each other and are located on the same plane as the liquid crystal surface of the display unit 160. The third rotational angular velocity integral value The directional axis D3 intersects with the directional axes D1 and D2 of the first and second rotational angular velocity integral values and may be perpendicular to the liquid crystal surface of the display unit 160. [

In addition, the rotation matrix may be, for example, as shown in Equation (1).

<Formula 1>

*

Here, the first rotational angular velocity integral value may be pitch (i), the second rotational angular velocity integral value roll (i), and the third rotational angular velocity integral value yaw (i).

Referring again to FIG. 2, the control unit 202 may include a filter (not shown) for filtering noise of the first through third rotational angular velocity integrations. The filter (not shown) may filter the noise of the rotational angular velocity measured by the gyroscope before correction, for example, but not exclusively, a notch filter.

The control unit 202 calculates the linear acceleration by applying the rotation matrix to the acceleration measured by the acceleration sensor (not shown), integrates the linear acceleration to calculate the velocity and displacement value, and outputs the integrated value of the third rotational angular velocity to the Fourier And extracts the second balance element based on the velocity and displacement values and the Fourier-transformed third rotational angular velocity integral.

The control unit 202 receives a first balance element from the memory 212, calculates an asymmetry index based on the difference between the first and second balance elements, and calculates a spine score based on the asymmetric index, You can calculate the score, the pelvic score, and calculate the final score based on the spine score, shoulder score, and pelvic score.

Here, the first and second balance elements may each include a plurality of sub-balance elements.

The plurality of subbalance elements may be, for example, a positive peak of the third rotational angular velocity integral value, a positive peak of the third rotational angular velocity integral value, (That is, the positive and negative peak points in the first direction D1 when the user wiggles his or her arm) in the first direction D1 of Fig. 11, , The positive and negative peaks (i.e., the positive and negative peak positions of the second direction D2 when the user swings the arm) to the second direction D2 of FIG. 11, the third direction D3 (I.e., the positive and negative peak points in the third direction D3 when the user swings his arm), the movement time of the arm to the positive peak of the third rotational angular velocity integral value In the dressing posture, The movement time of the arm to the negative peak of the integrated value of the third rotational angular velocity (the movement time of the arm to the peak point when the user swings the arm backward in the dressing posture) But is not limited thereto.

The equation for calculating the asymmetric index may be, for example, as shown in Equation 2 below.

<Formula 2>

Asymmetric index = 100 * (second balance element - 1 balance element) / second balance element

Here, the first balance element may be a balance element for the motion of the right arm, and the second balance element may be a balance element for the motion of the left arm, but is not limited thereto. In Equation (2), any subbalance element of the second balance element is substituted, and the subbalance element of the corresponding first balance element may be substituted.

If the first balance element is a balance element for the motion of the right arm and the second balance element is a balance element for the motion of the left arm, if the asymmetry index is greater than zero, then the motion of the left arm is greater.

In addition, the control unit 202 may calculate the asymmetric index for each subbalance element, and sum the asymmetric indexes to calculate the final asymmetric index.

The formula for calculating the final asymmetric index may be, for example, < EMI ID = 3.0 >

<Formula 3>

Final asymmetry index = 60 + (0.5 - (sum of each asymmetric index) * 100

As described above, the control unit 1202 determines, based on the asymmetric index,

The formula for calculating the eh, shoulder score, and pelvic score is shown in Equation (4), (5), and (6) below.

<Formula 4>

Spinal score = {50 + (0.2 - (asymmetric index for positive peak of third rotational angular integration value + asymmetrical index for negative peak of third rotational angular integration value) * 200 + 25 + (0.2 - The asymmetry index for the positive peak in the second direction D2 of FIG. 11 + the asymmetrical index for the negative peak in the second direction D2 of FIG. 11) * 100} /1.5

&Lt; EMI ID =

Shoulder score = 50 + (0.2 - asymmetric index for positive peak in first direction D1 + asymmetry index for negative peak in first direction D1 of FIG. 11) * 200

&Lt; EMI ID =

Pelvic score = {50 + (0.2 - (asymmetric index for positive peak in the third direction D3 of FIG. 11 + asymmetric index for negative peak in the third direction D3 of FIG. 11)) * (Asymmetric index for positive peak in the second direction D2 of FIG. 11 + asymmetry index for negative peak in the second direction D2 of FIG. 11) * 100} / 1.5

Additionally, the final score may be calculated based on the vertebral score, the shoulder score, and the pelvic score, respectively, to which a particular weight is assigned.

The input unit 204 may be provided with an input from a user.

Specifically, the input unit 204 may include a plurality of function keys, and provides the control unit 202 with key input data corresponding to the keys pressed by the user. Here, the functions of the input unit 204 and the display unit 160 may be performed by a touch screen unit (not shown). In this case, a touch screen unit (not shown) It is responsible for graphic screen output through touch screen.

The display unit 160 can receive and display the output of the control unit 202.

Specifically, the display unit 160 displays status information generated during operation of the smart band 100, a limited number of characters, a large amount of moving images, and still images. The display unit 160 may include, for example, a liquid crystal display (LCD).

The communication module 214 receives a signal from the control unit 202 and can communicate with peripheral electronic devices (e.g., a smart phone).

Specifically, the communication module 214 encodes a signal input from the control unit 202 and transmits the encoded signal to a Bluetooth (registered trademark), ZigBee, infrared, UWB (Ultra Wide Band), WLAN (E.g., a smart phone) through short-range wireless communication such as Near Field Communication (hereinafter referred to as &quot; Near Field Communication &quot;), and decodes signals received from nearby electronic devices through near field wireless communication and provides the decoded signals to the control unit 202 .

The smart band 100 according to an embodiment of the present invention measures the motion of both arms of the user through the motion sensor 208 and the control unit 202 to measure the body balance, . In addition, the smart band 100 can assist the user in maintaining a healthy body balance by providing the user with the body balance.

Hereinafter, a method of measuring a body balance of a smart band will be described with reference to FIGS. 12 and 14. FIG.

12 to 14 are flowcharts illustrating a method of measuring a body balance of a smart band according to an embodiment of the present invention.

Referring to FIG. 1, a first balance element of any one of a left arm or a right arm of a user (for example, a right arm) is registered (S1200).

2 and 12, when the registration of the first balance element of any one of the left arm or the right arm of the user (for example, the right arm) is requested (S1210) according to the user's key operation, The controller 100 activates the motion sensor 208 and generates motion data by measuring any one of the left arm or the right arm of the user (for example, the right arm) for a predetermined period of time through the motion sensor 208 (S1220). For example, when the motion sensor 208 is an acceleration sensor, the acceleration data for the user's motion is measured to generate acceleration data. When the motion sensor 208 is a gyroscope, To generate angular velocity data. Here, the acceleration data includes three-axis (x, y, z-axis) velocity components and angular velocity data includes three-axis angular velocity components.

Subsequently, the sign of the motion data is determined (S1230).

Specifically, the control unit 202 can determine the sign of the motion data by checking whether the user's motion is the motion of the user's left arm or the motion of the right arm.

Next, the first to third rotational angular velocity integral values are extracted (S1240).

The control unit 202 first filters the noise of the rotational angular velocity data among the signed motion data (at this time, it can be filtered by a filter (not shown) included in the control unit 202) The speed data may be corrected by reflecting the rotation angle measured by an acceleration sensor (not shown), and the first to third rotational angular velocity integrations may be extracted by integrating the corrected rotational angular velocity.

2 and 13, a rotation matrix is generated (S1250).

The control unit 202 filters the noise of the extracted first to third rotational angular velocity integrations (at this time, it can be filtered by a filter (not shown) included in the control unit 202) The rotation matrix can be generated using the third rotational angular velocity integral value.

2 and 13, a linear acceleration is calculated (S1260).

Specifically, the control unit 202 may calculate the linear acceleration by applying the rotation matrix to the acceleration data among the motion data measured by the motion sensor 208).

Next, the first balance element is extracted and registered (S1270).

The control unit 202 calculates a velocity and a displacement value by integrating the linear acceleration, Fourier transforms the integrated value of the third rotational angular velocity, and outputs the first and second rotational angular velocity values based on the velocity and displacement values and the Fourier- Element can be extracted. Further, the control unit 202 can register the extracted first balance element and store it in the memory 212. [

Referring again to FIGS. 2 and 12, after registering the first balance element of any one of the user's left arm or right arm (e.g., the right arm) (S1200), the other one of the user's left arm or right arm , Left arm) is measured (S1300).

Specifically, after registering the first balance element of the user's left arm or right arm (e.g., the right arm) (S1200), the motion sensor 208 is activated periodically or under the control of the control unit 202 This allows motion data to be generated by measuring the motion of the other one of the user's left arm or right arm (for example, the left arm) for a predetermined time. For example, when the motion sensor 208 is an acceleration sensor, acceleration data for a user's motion is measured to generate acceleration data. When the motion sensor 208 is a gyroscope, a rotational angular velocity for the user's motion is measured Thereby generating angular velocity data. Here, the acceleration data includes three axis (x, y, z axis) acceleration components, and the angular velocity data includes three axis angular velocity components.

Subsequently, the second balance element of the other one of the user's left arm or right arm (e.g., the left arm) is extracted (S1400).

In order to extract the second balance element, the sign of the motion data is first determined.

Specifically, the control unit 202 can determine the sign of the motion data by checking whether the user's motion is the motion of the user's left arm or the motion of the right arm.

Next, the first to third rotational angular velocity integral values are extracted.

Specifically, the controller 202 first filters the noise of the rotational angular velocity data among the signed motion data (at this time, it can be filtered by a filter (not shown) included in the control unit 202) The rotation angular velocity data is corrected by reflecting the rotation angles measured by the acceleration sensor (not shown), and the first to third rotational angular velocity integrations can be extracted by integrating the corrected angular velocity.

And generates a rotation matrix for extracting the second balance element.

Specifically, the control unit 202 filters the noise of the extracted first to third rotational angular velocity integrations (at this time, it can be filtered by a filter (not shown) included in the control unit 202) The rotation matrix can be generated using the first to third rotational angular velocity integral values.

Further, in order to extract the second balance element, a linear acceleration is calculated.

Specifically, the control unit 202 may calculate the linear acceleration by applying the rotation matrix to the acceleration data among the motion data measured by the motion sensor 208).

Next, the second balance element is extracted.

Specifically, the control unit 202 integrates the linear acceleration to calculate a velocity and a displacement value, performs Fourier transform on the integrated value of the third rotational angular velocity, and based on the velocity and displacement values and the Fourier-transformed third rotational angular velocity integral The second balance element can be extracted.

2 and 12, after extracting the second balance element (S1400), an asymmetric index is calculated (S1500).

Specifically, the control unit 202 may calculate an asymmetric index based on the difference between the second balance element and the first balance element stored in the memory 208. [

Next, a final score is calculated (S1600).

Specifically, the control unit 202 may calculate a spinal score, a shoulder score, a pelvis score based on the asymmetric index, and calculate a final score based on a spinal score, a shoulder score, and a pelvis score.

The final score calculated through such an algorithm can be displayed through the display unit 160, and the user can check the state of the user's own body balance through the final score.

For example, the higher the final score, the better the body balance, and the lower the final score, the worse the body balance may be, but the present invention is not limited thereto.

After that, the smart band 100 ends the algorithm according to the embodiment of the present invention.

The method of measuring the body balance of the smart band according to the embodiments of the present invention described above can also be implemented as a computer-readable code or a program on a computer-readable recording medium. A computer readable recording medium includes all kinds of recording apparatuses in which data that can be read by a computer system is stored. That is, the computer-readable recording medium may include a program command, a data file, a data structure, or the like, alone or in combination. The program instructions recorded on the recording medium may be those specially designed and constructed for the present invention or may be known and available to those skilled in the computer software. Examples of the computer readable recording medium include a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like in the form of a carrier wave (for example, transmission over the Internet) . The computer-readable recording medium may also be distributed over networked computer systems so that computer readable codes can be stored and executed in a distributed manner.

The biometric authentication method of the wearable device may include wirelessly communicating with a first external device, and receiving a first request signal of the first external device.

At this time, the first external device may be in the first security state.

The biometric authentication method of the wearable device includes the steps of: determining whether the wearable device is in a wear state after receiving the first request signal; transmitting non-attachable status information to the first external device when the wearable device is in a non-attachable state; A first motion data collection step of collecting motion data generated by a user's motion during a predetermined time or a predetermined amount of data is collected through the motion sensor when the wearable device is worn, And transmitting the first security level data and the second security level data from the first external device when the wearable device is worn.

In this case, the first external device may be in a second security state or a third security state. The biometrics authentication method of the wearable device may further include transmitting the non-attach state information or first state change information to the first external device when the wearable device is switched from the wear state to the non-wear state, And receiving only the first security level data from the first external device.

In this case, the first external device may be in a fourth security state or a fifth security state.

The first request signal may be a motion data request signal for registering new biometric authentication information.

The first security state may be a state in which the motion data for wearer authentication of the wearable device is unregistered while the first external device is unlocked.

The second security state may be a state in which the first external device is unlocked, motion data for wearer authentication of the wearable device is registered, and the wearer authentication of the wearable device is completed.

The third security state may be a state in which the first external device is locked, motion data for wearer authentication of the wearable device is registered, and wearer authentication of the wearable device is completed.

The fourth security state may be a state where the first external device is unlocked, motion data for wearer authentication of the wearable device is registered, and the wearer authentication of the wearable device is unauthenticated.

The fifth security state may be a state where the first external device is locked, motion data for wearer authentication of the wearable device is registered, and the wearer authentication of the wearable device is unauthenticated.

The first motion data may be used as registration information for wearer authentication of the wearable device.

The first security level data may include at least one of time information, position information, vibration, or sound request information.

The second security level data may include at least one of at least a part of at least one of call reception notification information, telephone caller information, text message reception information, text caller information, at least a part of character contents, schedule information, mail reception information, . &Lt; / RTI &gt;

The biometrics authentication method of the wearable device may include transmitting the wear state information or second state change information to the first external device when the wearable device is switched from the non-attach state to the wear state.

In this case, the first external device may be the fourth security state or the fifth security state.

The biometric authentication method of the wearable device includes a second motion data collection step of collecting motion data generated by a user's motion during a predetermined time or a predetermined amount of data is collected through the motion sensor, Receiving first security level data from the first external device, transmitting the second motion data to the first external device, receiving first security level data and second security level data from the first external device, The method comprising the steps of:

In this case, the first external device may be in a second security state or a third security state.

The first motion data may include a plurality of feature points extracted from information received from the motion sensor.

The first motion data transmitted to the first external device may extract a plurality of feature points from the first external device.

The first motion data may include a pair of collected motion data collected from the left arm and the right arm, or from the left foot and the right foot, or from the left waist and the right waist.

Wherein the first request signal includes a second request signal requesting to collect motion data from at least one of a left arm, a left foot and a left waist defined in the first external device and a second request signal requesting to collect motion data from a right arm, And a third request signal requesting to collect motion data from at least one of the waist.

The second motion data is transmitted to the first external device, and the first external device determines whether the second motion data is left-hand motion data, right-hand motion data, left-foot motion data, , Whether it is motion data of the left waist or motion data of the right waist.

The first external device may include a portable electronic device such as a smart phone, a smart pad, a notebook, a head-mounted display, or a second wearable device.

The biometric authentication method of the portable electronic device may include a step of wirelessly communicating with the wearable device, and a step of transmitting a first request signal to the wearable device.

At this time, the portable electronic device may be in the first security state.

A method of biometrics authentication of a portable electronic device, comprising: receiving wearable state information of the wearable device from the wearable device; displaying a wearable message when the wearable device is in a non-attachable state; A first motion data receiving step of receiving motion data of a user collected during a predetermined time or a certain amount of data is collected through a motion sensor provided in the wearable device, when the wearable device is worn, And transmitting the security level data and the second security level data.

At this time, the portable electronic device may be in a second security state or a third security state.

The method of biometrics authentication of a portable electronic device includes receiving the wear state information or first state change information transmitted from the wearable device when the wearable device is switched from a wear state to a non-wear state, And transmitting only the first security level data. At this time, the portable electronic device may be in the fourth security state or the fifth security state.

The first request signal may be a motion data request signal for registering new biometric authentication information.

The first security state may be a state in which the motion data for wearer authentication of the wearable device is unregistered while the portable electronic device is unlocked.

The second security state may be a state in which the portable electronic device is unlocked, motion data for the wearer authentication of the wearable device is registered, and the wearer authentication of the wearable device is completed.

The third security state may be a state in which the portable electronic device is in a locked state, motion data for wearer authentication of the wearable device is registered, and the wearer authentication of the wearable device is completed.

The fourth security state may be a state in which the portable electronic device is unlocked, motion data for wearer authentication of the wearable device is registered, and the wearer authentication of the wearable device is unauthorized.

The fifth security state may be a state in which the portable electronic device is in a locked state, motion data for user authentication of the wearable device is registered, and the wearer authentication of the wearable device is unauthenticated.

The first motion data may be used as registration information for wearer authentication of the wearable device.

The first security level data may include at least one of time information, position information, vibration, or sound request information.

The second security level data may include at least one of at least a part of at least one of call reception notification information, telephone caller information, text message reception information, text caller information, at least a part of character contents, schedule information, mail reception information, . &Lt; / RTI &gt;

The biometric authentication method of the portable electronic device may include receiving the wear state information or the second state change information when the wearable device is switched from the non-attach state to the wear state.

In this case, the portable electronic device may be the fourth security state or the fifth security state.

A second motion data receiving step of receiving motion data of a user collected during a predetermined time or a predetermined amount of data is collected through a motion sensor provided in the wearable device, Transmitting only the first security level data if it is in a wear state, receiving the second motion data, performing authentication based on the first motion data and the second motion data, , Transmitting the first security level data and the second security level data to the wearable device.

At this time, the portable electronic device may be in a second security state or a third security state.

The first motion data may include a plurality of minutiae extracted from information received from the motion sensor.

The first motion data received from the wearable device may extract a plurality of feature points from the portable electronic device.

The first motion data may include a pair of collected motion data collected from the left arm and the right arm, or from the left foot and the right foot, or from the left waist and the right waist.

Wherein the first request signal includes a second request signal requesting to collect motion data from at least one of a left arm, a left foot, and a left waist defined in the portable electronic device and a second request signal requesting to collect motion data from a right arm, A third request signal requesting to collect motion data from at least one.

The portable electronic device may be configured to determine whether the received second motion data is motion data of the left arm, motion data of the right arm, motion data of the left foot, motion data of the right foot, motion data of the left waist, Can be determined.

The portable electronic device includes a communication module for wirelessly communicating with the wearable device, a display unit, and a control unit. The control unit transmits a first request signal to the wearable device when the portable electronic device is in a first security state, And displays a wearer's guide message when the wearable device is in a non-use state. When a wearable device is worn, a predetermined amount of data is collected through a motion sensor provided in the wearable device When the wearable device is worn, the portable electronic device transmits the first security level data and the second security level data to the wearable device in the second security state or the third security state, , And Receiving state information or first state change information from the wearable device when the wearable device is switched from the wearing state to the non-wearing state, and when the wearable device is in the non-attaching state, And transmit only the first security level data to the wearable device in a secure state.

The first motion data may include a plurality of feature points extracted from information received from the motion sensor.

The received first motion data may extract a plurality of feature points from the portable electronic device.

The first motion data may include a pair of collected motion data collected from the left arm and the right arm, or from the left foot and the right foot, or from the left waist and the right waist.

Wherein the first request signal includes a second request signal requesting to collect motion data from at least one of a left arm, a left foot, and a left waist defined in the portable electronic device and a second request signal requesting to collect motion data from a right arm, A third request signal requesting to collect motion data from at least one.

A method for authenticating a portable electronic device, comprising: wirelessly communicating with a wearable device; receiving a request for performing a first function requested by a user; requesting a first authentication; 1 function, receiving a request for performing a second function requested by the user, requesting a second authentication, performing the second function when the second authentication is completed, The method comprising: receiving third authentication information; performing a third authentication based on the received third authentication information; when the third authentication is completed and a request to perform the first function is received, Performing the first function when the first authentication is completed, receiving a request for performing the second function, The case may include the step of performing the second function without the second authentication request.

The portable electronic device may include transmitting a first request signal to the wearable device when the portable electronic device is in a first security state.

The portable electronic device includes a first motion data receiving step of receiving a user's motion data collected during a predetermined time or a predetermined amount of data collected through a motion sensor provided in the wearable device, Step &lt; / RTI &gt;

The third authentication information may be motion data of a user collected during a certain period of time or during a certain amount of data collection through the motion sensor provided in the wearable device when the wearable device is switched from the non-attachment state to the wear state. At this time, the portable electronic device may be in the fourth security state or the fifth security state.

The first function may be a function of canceling the lock setting of the portable electronic device.

The second function may be at least one of login of an application, unlocking of locked contents, user authentication for electronic payment, and remote control of an external device.

The first authentication and the second authentication may be at least one of a password input, fingerprint recognition, iris recognition, face recognition, touch pattern input, position information, time information, weight information, voice input and gesture input.

The step of performing the third authentication may be a step of comparing a plurality of minutiae points of the first motion data with a plurality of minutiae points of the third authentication information.

The portable electronic device according to claim 1, further comprising: receiving a third function execution request from an external device; when the third function execution request is received, if the third authentication is not completed, And when the first authentication and the second authentication are completed, performing the third function, and when the third function execution request is received, when the third authentication is completed, the first authentication and the second The third function can be performed without requesting authentication.

The third authentication can cancel the third authentication when the wearable state of the wearable device is changed.

The first security state may be a state in which the motion data for wearer authentication of the wearable device is unregistered while the portable electronic device is unlocked. The fourth security state may be a state in which the portable electronic device is unlocked, motion data for user authentication of the wearable device is registered, and the wearer authentication of the wearable device is unauthenticated.

The fifth security state may be a state in which the portable electronic device is in a locked state, motion data for user authentication of the wearable device is registered, and the wearer authentication of the wearable device is unauthenticated.

The portable electronic device receives the fourth function execution request from the external device, and when the fourth function execution request is received, when the third authentication is not completed, the portable electronic device requests the third authentication to the wearable device And when the third function is completed when the fourth function execution request is received, the fourth function can be performed only when the first and second functions are completed.

A portable electronic device includes a communication module for wirelessly communicating with a wearable device and a control unit. The control unit requests a first authentication when a request for performing a first function requested by a user is received, and when the first authentication is completed, And can perform the first function.

The controller may request a second authentication when receiving a request for performing a second function requested by the user, and may perform the second function when the second authentication is completed.

When the controller receives the third authentication information from the wearable device, the controller may perform the third authentication based on the received third authentication information.

The controller may request the first authentication when the third authentication is completed and a request to perform the first function is received, and may perform the first function when the first authentication is completed.

The controller may perform the second function without the second authentication request when the third authentication is completed and the execution request of the second function is received.

Wherein the control unit transmits the first request signal to the wearable device in the first security state and transmits the first request signal to the wearable device through the motion sensor provided in the wearable device for a predetermined period of time, 1 motion data and register the first motion data.

The third authentication information may be motion data of a user collected during a certain period of time or during a certain amount of data collection through the motion sensor provided in the wearable device when the wearable device is switched from the non-attachment state to the wear state, At this time, the portable electronic device may be in the fourth security state or the fifth security state.

Wherein the control unit requests the first authentication and the second authentication when the third authentication is not completed when the third function execution request is received from the external device and the first authentication and the second authentication are completed The third function can be performed.

The control unit may perform a third function when the third function execution request is received, and when the third authentication is completed, without requesting the first authentication and the second authentication.

Wherein when the fourth function execution request is received from the external device, the control unit requests the third authentication to the wearable device when the third authentication is not completed, and when the fourth function execution request is received, When the third authentication is completed, the fourth function can be performed only when the first authentication and the second authentication are both completed.

The method of correcting posture of the wearable device includes the steps of wirelessly communicating with a portable electronic device,

And receiving a first request signal of the portable electronic device.

At this time, the portable electronic device may be in the first security state.

The wearable device posture correcting method includes a first motion data collecting step of collecting motion data generated by a user's motion while a predetermined amount of time or a predetermined amount of data is collected through a motion sensor provided in the wearable device, 1 motion data to the portable electronic device, and receiving a second request signal of the portable electronic device.

At this time, the portable electronic device may be in a second security state.

A second motion data collection step of collecting motion data generated by a user's motion while a predetermined amount of time or a predetermined amount of data is collected through a motion sensor provided in the wearable device; 2 motion data to the portable electronic device, and receiving a third request signal of the portable electronic device.

At this time, the portable electronic device may be in the third security state.

A third motion data collection step of collecting motion data generated by a user's motion while a predetermined amount of time or a predetermined amount of data is collected through a motion sensor provided in the wearable device; 3 motion data to the portable electronic device.

Wherein the portable electronic device stores the first motion data, the second motion data, and the third motion data, the first motion data is deleted by a separate deletion instruction by the user, and the second motion The data and the third motion data may be automatically deleted by the portable electronic device if the predefined condition is satisfied.

The third motion data may be such that the portable electronic device is compared with the first motion data in a third security state to provide an alarm to the portable electronic device or the wearable device if a difference of more than a predetermined threshold occurs have.

The predefined condition may be at least one of a predefined time, a predefined amount of data, a derivation of a predefined arithmetic value, and a determination of data connectivity.

A comparison of the third motion data and the first motion data may be performed in the wearable device.

The comparison of the third motion data and the first motion data may be performed in the portable electronic device.

Wherein the wearable device further comprises receiving standard motion data over a network, wherein the second motion data is compared with the standard motion data and when a difference of more than a predetermined threshold occurs, the portable electronic device or the wearable device To provide an alarm.

The portable electronic device receives and stores standard motion data through a network and compares the received second motion data with the second motion data to provide an alarm to the portable electronic device or the wearable device when a difference of more than a predetermined threshold occurs .

The first security state may be a state in which the portable electronic device is unlocked and a first motion data of the user is not registered.

The second security state may be a state in which the portable electronic device is unlocked and a first motion data of the user is registered.

The third security state may be a state in which the portable electronic device is locked and the first motion data of the user is registered.

The first motion data, the second motion data, and the third motion data may include a plurality of feature points extracted from the information collected from the motion sensor.

The first motion data, the second motion data, and the third motion data may extract a plurality of feature points from the portable electronic device.

The first motion data may be used as parent data to be compared with motion data registered in the wearable device or the portable electronic device and collected or received later.

The first motion data may further update the first motion data using the user's motion data collected after the initial registration.

The standard motion data may include at least one of virtual gait motion data that is standard, golf swing motion data, swimming motion data, running motion data, gymnastic motion data, and sports motion data.

The standard motion data may differ depending on at least one of a user's key, weight, age, sex, and body image.

Wherein the wearable device includes a wireless communication unit for wirelessly communicating with a portable electronic device, a motion sensor unit for collecting motion data of a user, and a control unit, wherein the control unit controls the portable electronic device to transmit the first Receiving a request signal, collecting first motion data generated by a user's motion during a predetermined time or a predetermined amount of data is collected through the motion sensor provided in the wearable device, and transmitting the first motion data to the portable electronic device It can be transmitted to the device.

Wherein the controller receives the second request signal of the portable electronic device in the second security state and transmits the second request signal to the motion of the user during a predetermined time or a predetermined amount of data is collected through the motion sensor provided in the wearable device And transmits the second motion data to the portable electronic device.

Wherein the controller receives the third request signal of the portable electronic device in the third security state and transmits the third request signal to the motion of the user during a predetermined time or a predetermined amount of data is collected through the motion sensor provided in the wearable device And transmits the third motion data to the portable electronic device.

The third motion data may provide an alarm to the portable electronic device or the wearable device when the portable electronic device is compared with the first motion data in a third security state and a difference of more than a predetermined threshold occurs .

Wherein the wearable device further comprises receiving standard motion data over a network, wherein the second motion data is compared with the standard motion data and when a difference of more than a predetermined threshold occurs, the portable electronic device or the wearable device To provide an alarm.

The posture correction method of the portable electronic device may include wirelessly communicating with the portable electronic device, and transmitting the first request signal to the wearable device.

At this time, the portable electronic device may be in the first security state.

The method of correcting a posture of the portable electronic device includes receiving first motion data for collecting motion data generated by a user's motion while a predetermined amount of time or a predetermined amount of data is collected through a motion sensor provided in the wearable device . &Lt; / RTI &gt;

At this time, the portable electronic device may be in a second security state.

The portable electronic device may include a second motion data receiving step of receiving motion data generated by a user's motion while a predetermined amount of time or a predetermined amount of data is collected through a motion sensor provided in the wearable device can do.

The portable electronic device may include transmitting a third request signal to the wearable device.

At this time, the portable electronic device may be in the third security state.

The method for correcting the posture of the portable electronic device may include receiving third motion data generated by the motion of the user during a predetermined period of time or during a predetermined amount of data is collected through the motion sensor provided in the wearable device .

Wherein the portable electronic device stores the first motion data, the second motion data, and the third motion data, the first motion data is deleted by a separate deletion instruction by the user, and the second motion The data and the third motion data may be automatically deleted by the portable electronic device if the predefined condition is satisfied.

The third motion data may be such that the portable electronic device is compared with the first motion data in a third security state to provide an alarm to the portable electronic device or the wearable device if a difference of more than a predetermined threshold occurs have.

The predefined condition may be at least one of a predefined time, a predefined amount of data, a derivation of a predefined arithmetic value, and a determination of data connectivity.

A comparison of the third motion data and the first motion data may be performed in the wearable device.

The comparison of the third motion data and the first motion data may be performed in the portable electronic device.

Wherein the portable electronic device further comprises receiving standard motion data through a network, wherein the second motion data is compared with the standard motion data and if the difference exceeds a predefined threshold, the portable electronic device or the wearable An alarm can be provided to the device.

The portable electronic device receives and stores standard motion data through a network and compares the received second motion data with the second motion data to provide an alarm to the portable electronic device or the wearable device when a difference of more than a predetermined threshold occurs .

The first security state may be a state in which the portable electronic device is unlocked and a first motion data of the user is not registered.

The second security state may be a state in which the portable electronic device is unlocked and a first motion data of the user is registered.

The third security state may be a state in which the portable electronic device is locked and the first motion data of the user is registered.

The first motion data, the second motion data, and the third motion data may include a plurality of feature points extracted from the information collected from the motion sensor.

The first motion data, the second motion data, and the third motion data may extract a plurality of feature points from the portable electronic device.

The first motion data may be used as parent data to be compared with motion data registered in the wearable device or the portable electronic device and collected or received later.

The first motion data may further update the first motion data using the user's motion data collected after the initial registration.

The standard motion data may include at least one of virtual gait motion data that is standard, golf swing motion data, swimming motion data, running motion data, gymnastic motion data, and sports motion data.

The standard motion data may differ depending on at least one of a user's key, weight, age, sex, and body image.

Wherein the portable electronic device includes a wireless communication unit for wirelessly communicating with the wearable device, a display unit, and a control unit, wherein the control unit transmits the first request signal to the wearable device in the first security state, It is possible to receive the first motion data generated by the motion of the user during the predetermined period of time or during the collection of a predetermined amount of data through the motion sensor provided in the motion sensor.

Wherein the controller transmits the second request signal to the wearable device from the second security state and transmits the second request signal to the wearable device via the motion sensor provided in the wearable device for a predetermined period of time or during a predetermined amount of data is collected And receive the generated second motion data.

Wherein the control unit transmits a third request signal to the wearable device from the third security state and transmits the third request signal to the wearable device through a motion sensor provided in the wearable device for a predetermined time or during a certain amount of data is collected And can receive the generated third motion data.

The third motion data may provide an alarm to the portable electronic device or the wearable device when the portable electronic device is compared with the first motion data in a third security state and a difference of more than a predetermined threshold occurs .

Wherein the portable electronic device further comprises receiving standard motion data through a network, wherein the second motion data is compared with the standard motion data and if the difference exceeds a predefined threshold, the portable electronic device or the wearable An alarm can be provided to the device.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It will be obvious to those of ordinary skill in the art.

Claims (20)

A method of correcting a posture of a portable electronic device,
Wirelessly communicating with the wearable device;
Transmitting a first request signal to the wearable device, the portable electronic device being in a first secure state;
Receiving first motion data generated by a user's motion while a predetermined amount of time or a predetermined amount of data is collected through a motion sensor provided in the wearable device;
Transmitting a second request signal to the wearable device, the portable electronic device being in a second secure state;
Receiving second motion data generated by the user's motion while a predetermined amount of time or a predetermined amount of data is collected through a motion sensor provided in the wearable device;
Sending a third request signal to the wearable device, the portable electronic device being in a third secure state; And
And receiving third motion data generated by the user's motion while a predetermined amount of time or a predetermined amount of data is collected through the motion sensor included in the wearable device,
Wherein the first motion data, the second motion data, and the third motion data include a plurality of feature points extracted from information collected from the motion sensor. The method according to claim 1,
Wherein the portable electronic device stores the first motion data, the second motion data, and the third motion data, wherein the first motion data is deleted by a separate erase command by the user, Wherein the motion data and the third motion data are automatically deleted by the portable electronic device when the predefined condition is satisfied. The method according to claim 1,
The third motion data is characterized by providing an alarm to the portable electronic device or the wearable device when the portable electronic device is compared with the first motion data in the third security state and a difference of more than a predefined threshold occurs Of the portable electronic device. 3. The method of claim 2,
Wherein the predefined condition is at least one of a predefined time, a predefined amount of data, a derivation of a predefined arithmetic value, and a determination of data connectivity. The method of claim 3,
Wherein the comparison of the third motion data and the first motion data is performed in the wearable device. The method of claim 3,
Wherein the comparison of the third motion data and the first motion data is performed in the portable electronic device. The method according to claim 1,
Wherein the wearable device further includes receiving standard motion data through a network, wherein the second motion data is compared with the standard motion data to generate a difference between a predetermined threshold and a predetermined threshold, And providing an alarm to the device. The method according to claim 1,
The portable electronic device receives and stores standard motion data through a network, compares the received standard motion data with the second motion data, and provides an alarm to the portable electronic device or the wearable device when a difference of more than a predefined threshold occurs Of the portable electronic device. The method according to claim 1,
Wherein the first security state is a state in which the portable electronic device is unlocked and the first motion data of the user is not registered. The method according to claim 1,
Wherein the second security state is a state in which the portable electronic device is unlocked and the first motion data of the user is registered. The method according to claim 1,
Wherein the third security state is a state in which the portable electronic device is locked and the first motion data of the user is registered. delete The method according to claim 1,
Wherein the first motion data, the second motion data, and the third motion data extract a plurality of feature points from the portable electronic device. The method according to claim 1,
Wherein the first motion data is used as parent data to be compared with motion data registered in the wearable device or the portable electronic device and collected or received in the future. 15. The method of claim 14,
Wherein the first motion data further updates the first motion data using the motion data of the user collected after the initial registration. 9. The method of claim 8,
Wherein the standard motion data includes at least one of virtual standard gait motion data, golf swing motion data, swimming motion data, running motion data, gymnastic motion data, and sports motion data. Posture correction method. 9. The method of claim 8,
Wherein the standard motion data is different according to at least one of a user's key, weight, age, sex, and body image. In a wearable device,
A wireless communication unit for wirelessly communicating with the portable electronic device;
A motion sensor unit for collecting motion data of a user; And
And a control unit,
Wherein the control unit receives the first request signal of the portable electronic device in the first security state and transmits the first request signal of the portable electronic device through the motion sensor provided in the wearable device for a predetermined period of time, Wherein the first motion data is generated by motion and the first motion data is transmitted to the portable electronic device,
Wherein the control unit receives the second request signal of the portable electronic device in the second security state and transmits the second request signal to the motion of the user during a predetermined time or a predetermined amount of data is collected through the motion sensor provided in the wearable device, And transmits the second motion data to the portable electronic device,
Wherein the control unit receives the third request signal of the portable electronic device in the third security state and transmits the third request signal to the motion of the user during a predetermined time or a predetermined amount of data is collected through the motion sensor provided in the wearable device, And transmits the third motion data to the portable electronic device,
Wherein the first motion data, the second motion data, and the third motion data include a plurality of feature points extracted from the information collected from the motion sensor. 19. The method of claim 18,
The third motion data is characterized by providing an alarm to the portable electronic device or the wearable device when the portable electronic device is compared with the first motion data in the third security state and a difference of more than a predefined threshold occurs Lt; / RTI &gt; 19. The method of claim 18,
Wherein the wearable device receives standard motion data through a network and the second motion data is compared with the standard motion data to provide an alarm to the portable electronic device or the wearable device when a difference of more than a predefined threshold occurs Wherein the wearable device is a wearable device.

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