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    INDIVIDUAL AUTHENTICATION METHOD, ELECTROCARDIOGRAPHIC AUTHENTICATION INFORMATION GENERATION METHOD, INDIVIDUAL AUTHENTICATION DEVICE, ELECTROCARDIOGRAPHIC AUTHENTICATION INFORMATION GENERATING DEVICE, RECORDING MEDIUM, AND METHOD
    2.
    发明申请
    INDIVIDUAL AUTHENTICATION METHOD, ELECTROCARDIOGRAPHIC AUTHENTICATION INFORMATION GENERATION METHOD, INDIVIDUAL AUTHENTICATION DEVICE, ELECTROCARDIOGRAPHIC AUTHENTICATION INFORMATION GENERATING DEVICE, RECORDING MEDIUM, AND METHOD 审中-公开
    个人认证方法，电子认证信息生成方法，个人认证装置，电子认证认证信息生成装置，记录媒体和方法

    公开(公告)号：US20170071507A1

    公开(公告)日：2017-03-16

    申请号：US15215784

    申请日：2016-07-21

    Applicant: Panasonic Intellectual Property Management Co., Ltd.

    Inventor： JEFFRY FERNANDO ,  KOJI MORIKAWA

    IPC: A61B5/117 ,  H04L29/06 ,  A61B5/04 ,  A61B5/0452 ,  A61B5/11

    CPC classification number: A61B5/117 ,  A61B5/04012 ,  A61B5/0404 ,  A61B5/0452 ,  A61B5/1114 ,  A61B2562/0219 ,  H04L63/0861

    Abstract: An individual authentication method includes (i) indicating a first position of a user's arm or arms when gripping an electrocardiographic sensor, (ii) measuring the user's electrocardiographic activity at the first position by using the electrocardiographic sensor, (iii) indicating a second position of the user's arm or arms when gripping the electrocardiographic sensor, the second position being different from the first position, (iv) measuring the user's electrocardiographic activity at the second position by using the electrocardiographic sensor, (v) receiving ID information of the user, and (vi) registering, in a database, electrocardiographic authentication information including first authentication information associating the ID information with the user's electrocardiographic activity measured at the first position, and second authentication information associating the ID information with the user's electrocardiographic activity measured at the second position.

    Abstract translation: 个体认证方法包括：（i）指示在握住心电图传感器时用户的手臂或手臂的第一位置，（ii）通过使用心电图传感器测量用户在第一位置处的心电图活动，（iii）指示第二位置 所述第二位置与所述第一位置不同;（iv）使用所述心电图传感器测量所述第二位置处的所述用户的心电图活动;（v）接收所述用户的ID信息;以及 （vi）在数据库中注册心电图认证信息，包括将ID信息与在第一位置测量的用户的心电图活动相关联的第一认证信息，以及将ID信息与在第二位置测量的用户心电图活动相关联的第二认证信息。

    CLASSIFICATION SYSTEM, CLASSIFICATION METHOD, AND PROGRAM
    4.
    发明申请
    CLASSIFICATION SYSTEM, CLASSIFICATION METHOD, AND PROGRAM 有权

    公开(公告)号：US20220414143A1

    公开(公告)日：2022-12-29

    申请号：US17756863

    申请日：2020-12-17

    Applicant: Panasonic Intellectual Property Management Co., Ltd.

    Inventor： HISAJI MURATA ,  HIDETO MOTOMURA ,  JEFFRY FERNANDO ,  YUYA SUGASAWA

    IPC: G06F16/55 ,  G06Q50/04

    Abstract: Reliability regarding a class determination for an object is improved. Classification system includes first classification part, second classification part, and determination part. First classification part classifies first target data into at least one of a plurality of first classes. Second classification part classifies second target data into at least one of a plurality of second classes. Determination part decides whether to use one or both of a first classification result that is a classification result obtained by first classification part and a second classification result that is a classification result obtained by second classification part, and determines a class of object based on one or both of them. The first target data is image data of object. The second target data is manufacturing data regarding a manufacturing condition of object.

    CLASSIFICATION SYSTEM, CLASSIFICATION METHOD, AND PROGRAM
    5.
    发明申请
    CLASSIFICATION SYSTEM, CLASSIFICATION METHOD, AND PROGRAM 有权

    公开(公告)号：US20220342913A1

    公开(公告)日：2022-10-27

    申请号：US17762886

    申请日：2020-08-28

    Applicant: Panasonic Intellectual Property Management Co., Ltd.

    Inventor： JEFFRY FERNANDO ,  HISAJI MURATA ,  HIDETO MOTOMURA ,  YUYA SUGASAWA

    IPC: G06F16/28

    Abstract: Even when data that can belong to a new class that is not in an existing class is input, this data can be easily classified appropriately. Classification system includes input reception part, classification part, calculation part, determination part, and presentation part. Input reception part receives an input of target data. Classification part classifies the target data into any one of a plurality of classes. Calculation part calculates a feature amount of the target data. Determination part determines a possibility that the target data is classified into the new class based on a classification result in classification part and the feature amount of the target data calculated by calculation part. When determination part determines that there is a possibility that the target data is classified into the new class, presentation part presents a determination result of determination part.

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