KR101694935B1 - Portalbe device and biometricmethod thereof - Google Patents
Portalbe device and biometricmethod thereof Download PDFInfo
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- KR101694935B1 KR101694935B1 KR1020150086211A KR20150086211A KR101694935B1 KR 101694935 B1 KR101694935 B1 KR 101694935B1 KR 1020150086211 A KR1020150086211 A KR 1020150086211A KR 20150086211 A KR20150086211 A KR 20150086211A KR 101694935 B1 KR101694935 B1 KR 101694935B1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/30—Authentication, i.e. establishing the identity or authorisation of security principals
- G06F21/31—User authentication
- G06F21/32—User authentication using biometric data, e.g. fingerprints, iris scans or voiceprints
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M19/00—Current supply arrangements for telephone systems
- H04M19/02—Current supply arrangements for telephone systems providing ringing current or supervisory tones, e.g. dialling tone or busy tone
- H04M19/04—Current supply arrangements for telephone systems providing ringing current or supervisory tones, e.g. dialling tone or busy tone the ringing-current being generated at the substations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/16—Constructional details or arrangements
- G06F1/1613—Constructional details or arrangements for portable computers
- G06F1/163—Wearable computers, e.g. on a belt
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/16—Constructional details or arrangements
- G06F1/1613—Constructional details or arrangements for portable computers
- G06F1/1633—Constructional details or arrangements of portable computers not specific to the type of enclosures covered by groups G06F1/1615 - G06F1/1626
- G06F1/1684—Constructional details or arrangements related to integrated I/O peripherals not covered by groups G06F1/1635 - G06F1/1675
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
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
The present invention relates to a portable electronic device and a biometric authentication method thereof.
In order to authenticate a user in a wearable device connected to a smart phone in the past, it is general to additionally attach a biometric authentication module (e.g., a fingerprint recognition module) or receive authentication information from the associated smartphone.
However, such a user authentication method has a problem of requiring additional circuitry in the wearable device or a separate operation of the user. This leads to an increase in manufacturing cost due to the addition of additional circuitry and inconvenience to the user.
The present invention relates to a portable electronic device and its biometric authentication method capable of performing user authentication without any additional circuit or user's separate operation.
A biometric authentication method of a wearable device according to an embodiment of the present invention includes: generating motion data by measuring a motion of a user through a motion sensor; Extracting a plurality of feature points based on the generated motion data; And performing biometric authentication of the user based on the distribution state of the extracted minutiae points.
A wearable device according to an embodiment of the present invention includes: a motion sensor that measures motion of a user to generate motion data; And a biometric authentication unit for extracting a plurality of feature points based on the generated motion data and performing a biometric authentication of a user based on the extracted distribution state of the feature points.
In addition, the solution of the above-mentioned problems does not enumerate all the features of the present invention. Various features of the present invention and the advantages and effects thereof will be more fully understood by reference to the following specific embodiments.
There is an advantage that the biometric authentication can be performed only by wearing the wearable device without additional operation of the additional circuit or the user.
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
2 is a block diagram showing a device configuration of a wearable device according to an embodiment of the present invention.
2, a
The
The
The
The
The
The
The
The
The
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
It is checked whether registration of the biometric authentication information is requested.
In
If so, the wearable device activates the
In
In
In
In
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
If it is determined in
In
Then, in
In
In
In
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
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
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
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).
<
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).
<
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).
<
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 < RTI ID = 0.0 > 212 < / RTI >
Here, the equation for calculating the final score may be, for example, as shown in Equation (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
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
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) ≪ / RTI >
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
Finally, the final score is registered as a normal motion score (S550). Specifically, the
2 and 9, the motion of the user is measured (S600). Specifically, after the normal motion score of the user is registered (S500), the
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 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 (D1 in Fig. 5) in the first direction (D1 in Fig. 5) and in the second direction (D2 in Fig. 5) in the direction opposite to the first direction Determining a second movement time to a peak angle (P2 in FIG. 5) a plurality of times, and determining a score of the first element based on an average of each of the plurality of measured first and second movement times have.
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 >
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
The final score and the normal motion score are compared (S900).
Specifically, the
If the final score is smaller than the normal motion score, the
After that, the
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
In addition, the rotation matrix may be, for example, as shown in Equation (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
The
The
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
<
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
The formula for calculating the final asymmetric index may be, for example, < EMI ID = 3.0 >
<
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.
<
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
≪ 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
≪ 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
Specifically, the
The
Specifically, the
The
Specifically, the
The
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
Subsequently, the sign of the motion data is determined (S1230).
Specifically, the
Next, the first to third rotational angular velocity integral values are extracted (S1240).
The
2 and 13, a rotation matrix is generated (S1250).
The
2 and 13, a linear acceleration is calculated (S1260).
Specifically, the
Next, the first balance element is extracted and registered (S1270).
The
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
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
Next, the first to third rotational angular velocity integral values are extracted.
Specifically, the
And generates a rotation matrix for extracting the second balance element.
Specifically, the
Further, in order to extract the second balance element, a linear acceleration is calculated.
Specifically, the
Next, the second balance element is extracted.
Specifically, the
2 and 12, after extracting the second balance element (S1400), an asymmetric index is calculated (S1500).
Specifically, the
Next, a final score is calculated (S1600).
Specifically, the
The final score calculated through such an algorithm can be displayed through the
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
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, . ≪ / RTI >
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 may include 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, And receiving the data.
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 the steps of receiving non-attach 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, . ≪ / RTI >
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 switching information from the wearable device when the wearable device is switched from the wearable state to the non-attachable state, and when the wearable device is in the non-attachable state, Only the first security level data can be transmitted to the wearable device.
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.
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 (21)
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 wearable state information of the wearable device from the wearable device;
Displaying a wearable information message when the wearable device is not in use;
A first motion data receiving step of receiving motion data of a user collected during a predetermined time or a predetermined amount of data collected through a motion sensor provided in the wearable device when the wearable device is worn;
Transmitting the first security level data and the second security level data to the wearable device when the wearable device is worn, the portable electronic device being in a second security state or a third security state;
Receiving the non-attach state information or the first state change information transmitted from the wearable device when the wearable device is switched from the wear state to the non-wear state; And
And transmitting only the first security level data when the wearable device is not in use, wherein the portable electronic device is a fourth security state or a fifth security state.
Wherein the first request signal is a motion data request signal for registering new biometric authentication information.
Wherein the first security state is a state in which motion data for wearer authentication of the wearable device is unregistered while the portable electronic device is unlocked.
Wherein the second security state is a state in which the portable electronic device is unlocked and motion data for wearer authentication of the wearable device is registered and the wearer authentication of the wearable device is completed. Authentication method.
Wherein the third security state is 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 wearer authentication of the wearable device is completed. .
Wherein the fourth security state is a state in which the portable electronic device is unlocked, motion data for wearer authentication of the wearable device is registered, and wearer authentication of the wearable device is an unauthenticated state. Authentication method.
Wherein the fifth security state is a state in which the portable electronic device is locked, motion data for wearer authentication of the wearable device is registered, and wearer authentication of the wearable device is unauthenticated. Way.
Wherein the first motion data is used as registration information for wearer authentication of the wearable device.
Wherein the first security level data includes 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, And a biometric authentication method of the portable electronic device.
Receiving the wear state information or second state change information when the wearable device is switched from the non-attach state to the wear state, wherein the portable electronic device is the fourth security state or the fifth security state;
Transmitting only the first security level data when the wearable device is worn;
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;
Performing authentication based on the first motion data and the second motion data; And
Transmitting the first security level data and the second security level data to the wearable device when the authentication is completed, the portable electronic device being in a second security state or a third security state; .
Wherein the first motion data includes a plurality of minutiae points extracted from information received from the motion sensor.
Wherein the first motion data received from the wearable device extracts a plurality of feature points from the portable electronic device.
Wherein the first motion data includes 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, And a third request signal requesting to collect motion data from at least one of the plurality of devices.
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, The authentication method comprising the steps of:
A communication module for wirelessly communicating with the wearable device;
A display unit; And
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, receives wearable status information from the wearable device, displays a wearable guidance message when the wearable device is in a non-attachable state The first motion data of the user collected during a predetermined time or a predetermined amount of data is received through the motion sensor provided in the wearable device when the wearable device is worn, When 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 when the wearable device is switched from the wear state to the non-wear state, Or the first state And the portable electronic device transmits only the first security level data to the wearable device in the fourth security state or the fifth security state when the wearable device is in the non-attachment state, Electronics.
Wherein the first motion data includes a plurality of feature points extracted from the information received from the motion sensor.
Wherein the received first motion data extracts a plurality of feature points from the portable electronic device.
Wherein the first motion data includes 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, And a third request signal requesting to collect motion data from at least one.
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