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公开(公告)号：US20170363427A1
公开(公告)日：2017-12-21
申请号：US15187900
申请日：2016-06-21
Inventor： Leonid Naimark , Yunbin Deng , Geoffrey S. Meltzner , Yu Zhong
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.
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公开(公告)号：US09811720B2
公开(公告)日：2017-11-07
申请号：US14445149
申请日：2014-07-29
Inventor： Yu Zhong
CPC classification number: G06K9/00348 , G06K9/46
Abstract: A system and method for identifying an individual based, at least in part, on their gait is presented. First, acceleration data is received from an accelerometer carried by a person. The acceleration data corresponds to a gait of the person. Rotational invariant values that are independent of a rotational position of the accelerometer are calculated based, at least in part, on the acceleration data. A gait dynamics image (GDI) is calculated based, at least in part, on the rotational invariant values. The GDI is matched to one of a set predetermined GDIs to identify the person.
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公开(公告)号：US20160307031A1
公开(公告)日：2016-10-20
申请号：US15180532
申请日：2016-06-13
Inventor： Yu Zhong , Yunbin Deng , Geoffrey S. Meltzner
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。
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公开(公告)号：US09824265B2
公开(公告)日：2017-11-21
申请号：US15180532
申请日：2016-06-13
Inventor： Yu Zhong , Yunbin Deng , Geoffrey S. Meltzner
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.
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Patent Agency Ranking
5.发明申请公开(公告)号：US20160192863A1
公开(公告)日：2016-07-07
申请号：US14865677
申请日：2015-09-25
Inventor： Yu Zhong
CPC classification number: A61B5/112 , A61B5/1118 , A61B5/117 , A61B5/7264 , A61B5/7271 , A61B2505/09 , A61B2562/0219
Abstract: A method for invariant gait analysis using gyroscope data wherein the improvement comprises the step of using pairs of raw measurements to factor out orientation, wherein a motion representation which is both invariant to sensor orientation changes and highly discriminative to enable high-performance gait analysis.
Abstract translation: 一种使用陀螺仪数据进行不变步态分析的方法，其中改进包括使用原始测量对来确定取向的步骤，其中不依赖于传感器方向的运动表示改变并且高度区分以实现高性能步态分析。
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公开(公告)号：US10231651B2
公开(公告)日：2019-03-19
申请号：US14835258
申请日：2015-08-25
Inventor： Yunbin Deng , Yu Zhong
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.
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公开(公告)号：US20150112603A1
公开(公告)日：2015-04-23
申请号：US14445149
申请日：2014-07-29
Inventor： Yu Zhong
IPC: G06K9/00
CPC classification number: G06K9/00348 , G06K9/46
Abstract: A system and method for identifying an individual based, at least in part, on their gait is presented. First, acceleration data is received from an accelerometer carried by a person. The acceleration data corresponds to a gait of the person. Rotational invariant values that are independent of a rotational position of the accelerometer are calculated based, at least in part, on the acceleration data. A gait dynamics image (GDI) is calculated based, at least in part, on the rotational invariant values. The GDI is matched to one of a set predetermined GDIs to identify the person.
Abstract translation: 提出了至少部分地基于其步态识别个体的系统和方法。 首先，从人携带的加速度计接收加速度数据。 加速度数据对应于人的步态。 至少部分地基于加速度数据计算独立于加速度计的旋转位置的旋转不变值。 至少部分地基于旋转不变量来计算步态动态图像（GDI）。 GDI与一组预定的GDI中的一个匹配，以识别该人。
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公开(公告)号：US10213136B2
公开(公告)日：2019-02-26
申请号：US14865677
申请日：2015-09-25
Inventor： Yu Zhong
Abstract: A method for invariant gait analysis using gyroscope data wherein the improvement comprises the step of using pairs of raw measurements to factor out orientation, wherein a motion representation which is both invariant to sensor orientation changes and highly discriminative to enable high-performance gait analysis.
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公开(公告)号：US10018469B2
公开(公告)日：2018-07-10
申请号：US15187900
申请日：2016-06-21
Inventor： Leonid Naimark , Yunbin Deng , Geoffrey S. Meltzner , Yu Zhong
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.
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