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    SYSTEM AND METHOD FOR GENERATING AN ACTIVITY SUMMARY OF A PERSON
    1.
    发明申请
    SYSTEM AND METHOD FOR GENERATING AN ACTIVITY SUMMARY OF A PERSON 审中-公开
    用于产生人的活动概要的系统和方法

    公开(公告)号：US20140071287A1

    公开(公告)日：2014-03-13

    申请号：US13888941

    申请日：2013-05-07

    Applicant: GENERAL ELECTRIC COMPANY

    Inventor： Peter Henry Tu ,  Ting Yu ,  Dashan Gao ,  Yi Yao

    IPC: H04N7/18

    CPC classification number: H04N7/181 ,  G06K9/00751 ,  G06K9/00771 ,  G08B13/19602 ,  G08B13/19613 ,  G11B27/031 ,  G11B27/28 ,  H04N21/2187 ,  H04N21/8549

    Abstract: In accordance with one aspect of the present technique, a method includes receiving one or more videos from one or more image capture devices. The method further includes generating a video-loop of the person from the one or more videos. The video-loop depicts the person in the commercial site. The method also includes generating an action clip from the video-loop. The action clip includes a suspicious action performed by the person in the commercial site. The method further includes generating an activity summary of the person including the video-loop and the action clip.

    Abstract translation: 根据本技术的一个方面，一种方法包括从一个或多个图像捕获设备接收一个或多个视频。 该方法还包括从一个或多个视频生成该人的视频循环。 视频循环描绘了​​商业站点中的人。 该方法还包括从视频循环生成动作剪辑。 该动作片段包括商业站点中的人执行的可疑动作。 该方法还包括生成包括视频循环和动作剪辑的人的活动摘要。

    SYSTEM AND METHOD FOR TRACKING AND RECOGNIZING PEOPLE
    3.
    发明申请
    SYSTEM AND METHOD FOR TRACKING AND RECOGNIZING PEOPLE 有权

    公开(公告)号：US20160140386A1

    公开(公告)日：2016-05-19

    申请号：US15002672

    申请日：2016-01-21

    Applicant: GENERAL ELECTRIC COMPANY

    Inventor： Ting Yu ,  Peter Henry Tu ,  Dashan Gao ,  Kunter Seref Akbay ,  Yi Yao

    IPC: G06K9/00 ,  G06K9/66 ,  G06T7/00 ,  G06K9/62

    CPC classification number: G06K9/00362 ,  G06K9/00771 ,  G06K9/6218 ,  G06K9/6232 ,  G06K9/66 ,  G06T7/70

    Abstract: A tracking and recognition system is provided. The system includes a computer vision-based identity recognition system configured to recognize one or more persons, without a priori knowledge of the respective persons, via an online discriminative learning of appearance signature models of the respective persons. The computer vision-based identity recognition system includes a memory physically encoding one or more routines, which when executed, cause the performance of constructing pairwise constraints between the unlabeled tracking samples. The computer vision-based identity recognition system also includes a processor configured to receive unlabeled tracking samples collected from one or more person trackers and to execute the routines stored in the memory via one or more algorithms to construct the pairwise constraints between the unlabeled tracking samples.

    METHOD AND SYSTEM FOR IDENTIFICATION OF ASSETS
    4.
    发明申请
    METHOD AND SYSTEM FOR IDENTIFICATION OF ASSETS 有权
    资产识别方法与系统

    公开(公告)号：US20140117077A1

    公开(公告)日：2014-05-01

    申请号：US13663955

    申请日：2012-10-30

    Applicant: GENERAL ELECTRIC COMPANY

    Inventor： Donald Wagner Hamilton ,  Peter Henry Tu ,  Ting Yu ,  Yi Yao ,  Dashan Gao

    IPC: G06F17/30

    CPC classification number: G06K19/06028 ,  B42D25/382 ,  G03B7/00 ,  G06K7/1417 ,  G06K19/06046 ,  G07C9/00007 ,  G07C9/00079 ,  H04N5/23258 ,  H04N5/2327 ,  H04N5/33

    Abstract: A method for identifying assets is provided. The method includes illuminating an identification pattern associated with the asset with non-visible light. The identification pattern includes retroreflective material that represents identity information of the asset. The method further includes adjusting either a shutter speed of an image sensor, or a power of the non-visible light, or both, based on motion state of the asset. The image sensor is configured to receive response of the retroreflective material to the non-visible light. Furthermore, the method includes the step of identifying the asset based on decoded identity information. The decoded identity information is obtained by processing the response of the retroreflective material.

    Abstract translation: 提供了一种识别资产的方法。 该方法包括用不可见光照亮与该资产相关联的识别模式。 识别模式包括表示资产的身份信息的回射材料。 该方法还包括基于资产的运动状态来调整图像传感器的快门速度或不可见光的功率，或两者。 图像传感器被配置为接收回射材料对不可见光的响应。 此外，该方法包括基于解码的身份信息识别资产的步骤。 通过处理回射材料的响应来获得解码的身份信息。

    Systems and methods to improve lung function protocols
    5.
    发明授权
    Systems and methods to improve lung function protocols 有权

    公开(公告)号：US10679754B2

    公开(公告)日：2020-06-09

    申请号：US16045319

    申请日：2018-07-25

    Applicant: General Electric Company

    Inventor： Christopher Donald Johnson ,  Peter Henry Tu ,  Andrew Phelps Day ,  Ting Yu ,  Jeffrey Richardson Terry

    IPC: G16H20/40 ,  G16H50/30 ,  G06F19/00 ,  G16H40/20

    Abstract: An example method includes: classifying lung function risk based on patient attributes and a clinical protocol; generating alarms and incentives for compliance with the clinical protocol based on patient attributes, clinical protocol, and patient lung function risk; determining an orientation and position of a clinical device based on tagged feature(s) of the clinical device compared to identified patient feature(s); monitoring patient interaction with the clinical device; identifying a deviation from the clinical protocol based on the monitored patient interaction, a patient biometric indicator, and a desired setpoint state in the protocol; when a deviation is identified, providing feedback proportional to the deviation, the feedback including an adjustment with respect to the clinical protocol and/or the clinical device; and triggering at least one alarm and/or incentive based on deviation and feedback, wherein the alarm/incentives differs based on whether and to what extent deviation is identified and feedback.

    METHOD AND SYSTEM FOR WIRELESS RESPIRATION RATE MONITORING USING SPACE AND FREQUENCY DIVERSITIES
    9.
    发明申请
    METHOD AND SYSTEM FOR WIRELESS RESPIRATION RATE MONITORING USING SPACE AND FREQUENCY DIVERSITIES 有权
    使用空间和频率分布进行无线呼叫速率监测的方法和系统

    公开(公告)号：US20160338617A1

    公开(公告)日：2016-11-24

    申请号：US14716522

    申请日：2015-05-19

    Applicant: General Electric Company

    Inventor： Jeffrey Michael Ashe ,  Ting Yu ,  Yang Zhao

    IPC: A61B5/08 ,  A61B5/00

    CPC classification number: A61B5/0816 ,  A61B5/113 ,  A61B5/7235 ,  A61B5/7278 ,  A61B5/7282 ,  A61B5/7405 ,  A61B5/742 ,  A61B5/746

    Abstract: A system and method include a plurality of sensors proximate a subject, wherein each sensor includes a plurality of antennas, and wherein each sensor operates on a plurality of frequency channels. The method includes receiving, at a respiration module, a signal associated with each antenna for each of the plurality of frequency channels; and calculating a respiration rate of the subject based on the received signal associated with each antenna for each of the plurality of frequency channels. Numerous other aspects are provided.

    Abstract translation: 系统和方法包括靠近被摄体的多个传感器，其中每个传感器包括多个天线，并且其中每个传感器在多个频道上操作。 该方法包括在呼吸模块处接收与多个频道中的每一个相关联的每个天线的信号; 以及基于与所述多个频率信道中的每一个的每个天线相关联的接收信号来计算所述对象的呼吸速率。 提供了许多其他方面。

    SYSTEMS AND METHODS TO IMPROVE LUNG FUNCTION PROTOCOLS
    10.
    发明申请
    SYSTEMS AND METHODS TO IMPROVE LUNG FUNCTION PROTOCOLS 审中-公开
    改进肺功能协议的系统和方法

    公开(公告)号：US20150363566A1

    公开(公告)日：2015-12-17

    申请号：US14737132

    申请日：2015-06-11

    Applicant: GENERAL ELECTRIC COMPANY

    Inventor： Christopher Donald Johnson ,  Peter Henry Tu ,  Andrew Phelps Day ,  Ting Yu ,  Jeffrey Richardson Terry

    IPC: G06F19/00

    CPC classification number: G16H50/30 ,  G06F19/00 ,  G06F19/3481 ,  G16H20/40 ,  G16H40/20

    Abstract: An example method includes: classifying lung function risk based on patient attributes and a clinical protocol; generating alarms and incentives for compliance with the clinical protocol based on patient attributes, clinical protocol, and patient lung function risk; determining an orientation and position of a clinical device based on tagged feature(s) of the clinical device compared to identified patient feature(s); monitoring patient interaction with the clinical device; identifying a deviation from the clinical protocol based on the monitored patient interaction, a patient biometric indicator, and a desired setpoint state in the protocol; when a deviation is identified, providing feedback proportional to the deviation, the feedback including an adjustment with respect to the clinical protocol and/or the clinical device; and triggering at least one alarm and/or incentive based on deviation and feedback, wherein the alarm/incentives differs based on whether and to what extent deviation is identified and feedback.

    Abstract translation: 一个示例方法包括：根据患者属性和临床方案分类肺功能风险; 基于患者属性，临床方案和患者肺功能风险，产生符合临床协议的报警和激励措施; 与所识别的患者特征相比，基于所述临床装置的标记特征确定临床装置的取向和位置; 监测患者与临床装置的相互作用; 基于所监测的患者相互作用，患者生物测定指示物和方案中的期望设定点状态来识别与临床方案的偏差; 当识别出偏差时，提供与偏差成比例的反馈，反馈包括相对于临床方案和/或临床装置的调整; 并且基于偏差和反馈触发至少一个警报和/或激励，其中警报/激励基于是否以及在多大程度上识别偏差和反馈而不同。

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