首页> 外国专利> METHOD FOR LEARNING A PERSON'S LIFESTYLE AND DETECTING ABNORMALITIES

METHOD FOR LEARNING A PERSON'S LIFESTYLE AND DETECTING ABNORMALITIES

机译:学习人的生活方式和检测异常的方法

摘要

The invention relates to a method for quantifying an activity of a person operating in a defined environment, in which is arranged at least one sensor connected to a central unit of a monitoring system, the method being executed by the unit. central, and comprising: a step of obtaining a generic sequence of results capable of being detected by said at least one sensor, said generic sequence being defined by at least one parameter; a step of determining a personalized value, said at least one parameter defining said generic sequence for the person operating in the defined environment, said at least one parameter being designated as personalized parameter when it takes the personalized value, and a personalized sequence, derived from said generic sequence, when it is defined by said at least one personalized parameter, the determining step being executed as a function of first detection results received from said at least one sensor; a monitoring step comprising a sub-step of acquiring second detection results received from said at least one sensor, a sub-step of searching for said personalized sequence among said second detection results; and, if said personalized sequence is not found during a predetermined time interval, a step of notifying an anomaly to a user.
机译:本发明涉及一种用于量化在限定的环境中进行操作的人的活动的方法,其中布置有至少一个与监控系统的中央单元连接的传感器,该方法由该单元执行。中央的,并且包括:获得能够由所述至少一个传感器检测到的结果的通用序列的步骤,所述通用序列由至少一个参数定义;确定个性化值的步骤,所述至少一个参数为在定义的环境中操作的人定义所述通用序列,当所述至少一个参数采用个性化值时,将所述至少一个参数指定为个性化参数,以及从当所述通用序列由所述至少一个个性化参数定义时,所述确定步骤根据从所述至少一个传感器接收的第一检测结果来执行;监控步骤,包括获取从所述至少一个传感器接收的第二检测结果的子步骤,在所述第二检测结果中搜索所述个性化序列的子步骤;如果在预定时间间隔内未找到所述个性化序列,则向用户通知异常。

著录项

  • 公开/公告号FR3085524A1

    专利类型

  • 公开/公告日2020-03-06

    原文格式PDF

  • 申请/专利权人 PREDICAL;

    申请/专利号FR1857823

  • 申请日2018-08-30

  • 分类号G08B21/04;G08B21/02;

  • 国家 FR

  • 入库时间 2022-08-21 11:00:31

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