公开(公告)号：US10409841B2

公开(公告)日：2019-09-10

申请号：US15358410

申请日：2016-11-22

Applicant: Huawei Technologies Co., Ltd.

Inventor： Qiang Yang ,  Ke Deng ,  Wing Ki Leung

IPC: G06F16/28 ,  G06F16/2458 ,  G06F3/01 ,  G06K9/00 ,  G06K9/62

Abstract: A user behavior recognition method, a user equipment, a behavior recognition server, and a behavior recognition system are presented, where the method includes acquiring, by a first user equipment, statistical distribution information of a target parameter corresponding to a target user behavior, where the target parameter includes at least one parameter in a behavior recognition model of the target user behavior, and the statistical distribution information of the target parameter is determined according to values of the target parameters in behavior recognition models of the target user behavior that are respectively corresponding to multiple other user equipment; and creating and saving, according to the statistical distribution information, a behavior recognition model of the target user behavior, to recognize the target user behavior.

公开(公告)号：US20170075982A1

公开(公告)日：2017-03-16

申请号：US15358410

申请日：2016-11-22

Applicant: Huawei Technologies Co., Ltd.

Inventor： Qiang Yang ,  Ke Deng ,  Wing Ki Leung

IPC: G06F17/30

CPC classification number: G06F16/285 ,  G06F3/011 ,  G06F16/2462 ,  G06K9/00335 ,  G06K9/00973 ,  G06K9/6278

Abstract: A user behavior recognition method, a user equipment, a behavior recognition server, and a behavior recognition system are presented, where the method includes acquiring, by a first user equipment, statistical distribution information of a target parameter corresponding to a target user behavior, where the target parameter includes at least one parameter in a behavior recognition model of the target user behavior, and the statistical distribution information of the target parameter is determined according to values of the target parameters in behavior recognition models of the target user behavior that are respectively corresponding to multiple other user equipment; and creating and saving, according to the statistical distribution information, a behavior recognition model of the target user behavior, to recognize the target user behavior.

Abstract translation: 提出了用户行为识别方法，用户设备，行为识别服务器和行为识别系统，其中该方法包括由第一用户设备获取与目标用户行为相对应的目标参数的统计分布信息，其中 目标参数包括目标用户行为的行为识别模型中的至少一个参数，并且根据目标用户行为的行为识别模型中的目标参数的值来确定目标参数的统计分布信息，所述行为识别模型分别对应于 到多个其他用户设备; 并根据统计分布信息创建和保存目标用户行为的行为识别模型，以识别目标用户行为。