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    • 93. 发明公开
    • ANTI-THEFT METHOD AND DEVICE FOR A BALANCE VEHICLE
    • 平衡车的防盗方法和装置
    • EP3248859A1
    • 2017-11-29
    • EP16196634.6
    • 2016-10-31
    • Beijing Xiaomi Mobile Software Co., Ltd.
    • LIN, ShangquanYONG, XingHA, XiaolinZHANG, Xiaotong
    • B62K11/00B60R25/25
    • B60R25/25A61B5/103A61B5/117A61B5/742B60R2325/30B62H5/20B62K11/007
    • The present disclosure is about an anti-theft method and device for a balance vehicle, wherein, the method comprises: obtaining (S101) first physiological characteristics information of a current user on the balance vehicle; obtaining (S102) predetermined second physiological characteristics information; outputting (S103) prompt information to prompt that the current user is different from a predetermined user in response to a determination that the second physiological characteristics information excludes the first physiological characteristics information. The technical solution may obtain first physiological characteristics information of a current user on the balance vehicle, obtain stored predetermined second physiological characteristics information, and output prompt information to prompt the user that the current user is different form a predetermined user when the second physiological characteristics information excludes the first physiological characteristics information, such that the balance vehicle may be prevented from being stolen and the property loss of the user may be avoided.
    • 本发明涉及一种平衡车的防盗方法及装置,该方法包括:获取(S101)当前用户在该平衡车上的第一生理特征信息; 获得(S102)预定的第二生理特征信息; 响应于确定第二生理特征信息排除第一生理特征信息,输出(S103)提示信息以提示当前用户不同于预定用户。 所述技术方案可以获取当前用户在所述平衡车上的第一生理特征信息,获取存储的预定的第二生理特征信息,并在所述第二生理特征信息输出提示用户当前用户不同于预定用户的提示信息 排除第一生理特征信息,使得可以防止平衡车被盗,并且可以避免用户的财产损失。
    • 100. 发明公开
    • SYSTEMS, METHODS, AND APPARATUS FOR LEARNING THE IDENTITY OF AN OCCUPANT OF A VEHICLE
    • 系统,方法和设备确定车辆驾乘人员的身份
    • EP2797797A1
    • 2014-11-05
    • EP11878625.0
    • 2011-12-29
    • Intel Corporation
    • GRAUMAN, David, L.HEALEY, JenniferMONTESINOS, Carlos
    • B60W50/10B60W50/08B60R21/015
    • B60N2/0248B60K28/02B60K28/066B60R25/25B60R25/305B60W2420/42B60W2540/28G06K7/10
    • Certain embodiments of the invention may include systems, methods, and apparatus for learning the identity of an occupant of a vehicle. According to an example embodiment of the invention, a method is provided for learning an identity of an occupant of a vehicle. The method includes receiving a primary identification (I D) input and one or more secondary ID inputs, wherein the primary ID input includes identification token information; retrieving cluster information based at least in part on the primary ID input; comparing the one or more secondary ID inputs with the cluster information; determining a confidence value based at least in part on the comparison of the one or more secondary ID inputs with the cluster information; training the cluster information based at least in part on the received one or more secondary ID inputs; and storing the trained cluster information.
    • 本发明的某些实施例可以包括系统,方法,和装置用于学习车辆的乘员的身份。 。根据本发明的示例实施例,提供了一种用于学习车辆的乘员的身份的方法。 该方法包括:接收主标识(ID)的输入和一个或多个次级ID的输入,worin主输入ID包括识别令牌信息; 检索在上主ID输入至少部分地基于群集信息; 比较集群信息的一个或多个次级ID输入; 确定性开采上的与该集群信息的所述一个或多个辅助输入ID的比较至少部分地基于置信值; 所接收到的一个或多个辅助输入ID部分训练至少基于群集的信息; 和储存训练的集群信息。