SMART BAND AND BIOMETRIC AUTHENTICATION METHOD THEREOF

• US 20150371024A1
• Filed: 11/19/2014
• Published: 12/24/2015
• Est. Priority Date: 06/18/2014
• Status: Abandoned Application

• Current Assignee: ZIKTO
• Original Assignee: ZIKTO
• Inventors: KIM, Sung Hyun, KIM, Kyung Tae, SUH, David Hansuk
• Application Number:
  US14/547,576
• Publication Number:
  US 20150371024A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 21/32 using biometric data, e.g. fingerprints, iris scans or voiceprints
• CPC Class Codes: G06F 21/35 communicating wirelessly
• CPC Class Codes: H04L 63/08 for authentication of entities cryptographic mechanisms or cryptographic arrangements for entity authentication H04L9/32
• CPC Class Codes: H04L 63/0861 using biometrical features, e.g. fingerprint, retina-scan cryptographic mechanisms or cryptographic arrangements for entity authentication using biological data H04L9/3231
• CPC Class Codes: H04L 63/107 wherein the security policies are location-dependent, e.g. entities privileges depend on current location or allowing specific operations only from locally connected terminals

Abstract

Provided are smart band and biometric authentication method thereof. The biometric authentication method of a smart band, comprises generating motion data by measuring motion of a user via a motion sensor; extracting a plurality of feature points based on the generated motion data; and performing biometric authentication of the user based on a distribution state of the extracted feature points.

Claims

1. A biometric authentication method of a smart band, comprising:

generating motion data by measuring motion of a user via a motion sensor;

extracting a plurality of feature points based on the generated motion data; and

performing biometric authentication of the user based on a distribution state of the extracted feature points,

wherein the plurality of feature points is a result obtained by performing Fourier transformation on a magnitude of acceleration or a magnitude of rotational angular velocity.

2. The biometric authentication method of claim 1, wherein said performing biometric authentication of the user based on a distribution state of the extracted feature points comprises:

deriving a histogram of the extracted feature points;

converting the derived histogram into a normalized histogram;

comparing pre-registered user'"'"'s biometric authentication information with a distribution state of feature points in the normalized histogram and checking whether an error between the pre-registered user'"'"'s biometric authentication information and the distribution state of the feature points in the normalized histogram falls within an allowable error range;

determining that the normalized histogram is identical with the pre-registered user'"'"'s biometric authentication information if the error between the pre-registered user'"'"'s biometric authentication information and the distribution state of the feature points in the normalized histogram falls within the allowable error range.

3. The biometric authentication method of claim 2, wherein said checking whether an error between the pre-registered user'"'"'s biometric authentication information and the distribution state of the feature points in the normalized histogram falls within an allowable error range comprises:

computing a score by calculating differences for respective sections between the normalized histogram and the pre-registered user'"'"'s biometric authentication information and summing up absolute values of each of the differences, and determining whether the computed score is equal to or less than a reference value.

4. The biometric authentication method of claim 2, further comprising, before said generating motion data by measuring motion of a user via the motion sensor:

pre-registering biometric authentication information of the user for comparison with the normalized histogram,

wherein said pre-registering biometric authentication information of the user for comparison with the normalized histogram comprises;

generating motion data by measuring motion of a user via a motion sensor in response to a request for registration of biometric authentication information;

extracting a plurality of feature points based on the generated motion data;

deriving a histogram of the extracted feature points;

converting the derived histogram into a normalized histogram; and

registering the normalized histogram as the biometric authentication information of the user.

5. A smart band comprising:

a motion sensor to generate motion data by measuring motion of a user; and

a biometric authentication unit to extract a plurality of feature points based on the generated motion data and perform biometric authentication of the user based on a distribution state of the extracted feature points,

wherein the plurality of feature points is a result obtained by performing Fourier transformation on a magnitude of acceleration or a magnitude of rotational angular velocity.

6. The smart band of claim 5, wherein the biometric authentication unit derives a histogram of the extracted feature points,

converts the derived histogram into a normalized histogram,

compares pre-registered user'"'"'s biometric authentication information with a distribution state of feature points in the normalized histogram to check whether an error between the pre-registered user'"'"'s biometric authentication information and the distribution state of the feature points in the normalized histogram falls within an allowable error range,

determines that the normalized histogram is identical with the pre-registered user'"'"'s biometric authentication information if the error between the pre-registered user'"'"'s biometric authentication information and the distribution state of the feature points in the normalized histogram falls within the allowable error range.

7. The smart band of claim 6, wherein the biometric authentication unit computes a score by calculating differences for respective sections between the normalized histogram and the pre-registered user'"'"'s biometric authentication information and summing up absolute values of each of the differences, and determines whether the computed score is equal to or less than a reference value to check whether the error between the pre-registered user'"'"'s biometric authentication information and the distribution state of the feature points in the normalized histogram falls within the allowable error range.

8. The smart band of claim 6, wherein the biometric authentication unit, before performing the biometric authentication of the user, generates motion data by measuring motion of the user via a motion sensor in response to a request for registration of biometric authentication information,

extracts a plurality of feature points based on the generated motion data,

derives a histogram of the extracted feature points,

converts the derived histogram into a normalized histogram, and

registers the normalized histogram as the biometric authentication information of the user.