公开(公告)号：US10018469B2

公开(公告)日：2018-07-10

申请号：US15187900

申请日：2016-06-21

Applicant: BAE Systems Information and Electronic Systems Integration Inc.

Inventor： Leonid Naimark ,  Yunbin Deng ,  Geoffrey S. Meltzner ,  Yu Zhong

IPC: G01C21/16 ,  G01C22/00 ,  A61B5/11 ,  A61B5/00 ,  G06F17/30 ,  G01S19/10

CPC classification number: G01C21/165 ,  A61B5/0022 ,  A61B5/1112 ,  A61B5/112 ,  A61B5/4836 ,  A61B5/486 ,  A61B5/6804 ,  A61B2562/0219 ,  G01S19/49 ,  G06F16/29 ,  G06F16/9537

Abstract: A method of using signal processing representations from IMU/INS devices to identify terrain types. Using orientation and pace invariant gait dynamics images (GDIs) to identify terrain types. Utilizing signal processing representations from IMU/INS devices to determine relative position in GPS-denied areas. Using orientation and pace invariant gait dynamics images (GDIs) to determine relative position in GPS-denied areas. A method of using signal processing representations from IMU/INS devices to determine absolute position using GDI terrain IDs. A method of using signal processing representations from IMU/INS devices to identity position relative to land classes. Using orientation and pace in variant gait dynamics images (GDIs) to identity position relative to land classes.

公开(公告)号：US09824265B2

公开(公告)日：2017-11-21

申请号：US15180532

申请日：2016-06-13

Applicant: BAE Systems Information and Electronic Systems Integration Inc.

Inventor： Yu Zhong ,  Yunbin Deng ,  Geoffrey S. Meltzner

IPC: G01P15/00 ,  G06K9/00 ,  G06K9/46

CPC classification number: G06K9/00348 ,  G06K9/46

Abstract: A method for identifying individuals using inertial sensor based gait biometrics. A method for identifying individual persons using orientation and pace invariant gait dynamics images (GDIs). A method of biometric authentication using i-vectors for GDIs.

公开(公告)号：US20170363427A1

公开(公告)日：2017-12-21

申请号：US15187900

申请日：2016-06-21

Applicant: BAE Systems Information and Electronic Systems Integration Inc.

Inventor： Leonid Naimark ,  Yunbin Deng ,  Geoffrey S. Meltzner ,  Yu Zhong

IPC: G01C21/16 ,  A61B5/11 ,  A61B5/00 ,  G06F17/30 ,  G01S19/10

CPC classification number: G01C21/165 ,  A61B5/0022 ,  A61B5/1112 ,  A61B5/112 ,  A61B5/4836 ,  A61B5/486 ,  A61B5/6804 ,  A61B2562/0219 ,  G01S19/10 ,  G06F17/30241 ,  G06F17/3087

Abstract: A method of using signal processing representations from IMU/INS devices to identify terrain types. Using orientation and pace invariant gait dynamics images (GDIs) to identify terrain types. Utilizing signal processing representations from IMU/INS devices to determine relative position in GPS-denied areas. Using orientation and pace invariant gait dynamics images (GDIs) to determine relative position in GPS-denied areas. A method of using signal processing representations from IMU/INS devices to determine absolute position using GDI terrain IDs. A method of using signal processing representations from IMU/INS devices to identity position relative to land classes. Using orientation and pace in variant gait dynamics images (GDIs) to identity position relative to land classes.

公开(公告)号：US20160307031A1

公开(公告)日：2016-10-20

申请号：US15180532

申请日：2016-06-13

Applicant: BAE Systems Information and Electronic Systems Integration Inc.

Inventor： Yu Zhong ,  Yunbin Deng ,  Geoffrey S. Meltzner

IPC: G06K9/00 ,  G06K9/46

CPC classification number: G06K9/00348 ,  G06K9/46

Abstract: A method for identifying individuals using inertial sensor based gait biometrics. A method for identifying individual persons using orientation and pace invariant gait dynamics images (GDIs). A method of biometric authentication using i-vectors for GDIs.

Abstract translation: 使用基于惯性传感器的步态生物识别来识别个体的方法。 使用定向和步态不变步态动态图像（GDI）识别个人的方法。 用于GDI的i向量的生物认证方法。

公开(公告)号：US10231651B2

公开(公告)日：2019-03-19

申请号：US14835258

申请日：2015-08-25

Applicant: BAE Systems Information And Electronic Systems Integration Inc.

Inventor： Yunbin Deng ,  Yu Zhong

IPC: G05B19/00 ,  A61B5/117 ,  A61B5/11 ,  A61B5/00 ,  H04L29/06 ,  G06K9/00 ,  H04W12/06

Abstract: A gait authentication system and method is provided. The system includes a mobile computing device configured to be carried by a person while moving with a unique gait. A first sensor (e.g. an accelerometer) is carried by the mobile computing device and generates a first signal. A second sensor (e.g. a gyroscope) is carried by the mobile computing device and generates a second signal. A gait dynamics logic implements an identity vector (i-vector) approach to learn feature representations from a sequence of arbitrary feature vectors carried by the first and second signals. In the method for real time gait authentication, the computing of invariant gait representations are robust to sensor placement while preserving highly discriminative temporal and spatial gait dynamics and context.