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    • 7. 发明申请
    • HOME CONTROL SYSTEM WITH PREDICTION BASED ON SEQUENTIAL PATTERN MATCHING
    • 基于序列模式匹配预测的家庭控制系统
    • WO2003102865A1
    • 2003-12-11
    • PCT/US2003/017038
    • 2003-05-30
    • HONEYWELL INTERNATIONAL INC.
    • GURALNIK, ValerieHARP, Steven, A.HAIGH, Karen, Z.
    • G06N5/00
    • G08B21/0423G06K9/00496G06N5/00
    • A system and method of operating a monitoring and response system for an actor in a daily living environment that relies upon learned models of behavior for adapting system operation. The learned model of behavior preferably includes sequential patterns organized pursuant to assigned partition values that in turn are generated based upon an evaluation of accumulated data. Based upon reference to the learned model of behavior, the system can generate more appropriate response plans based upon expected or unexpected activities, more readily recognize intended activities, recognize abandoned tasks, formulate probabilities of method choice, build probabilities of action success, anticipate and respond to actor movement within the environment, optimize response plan effectiveness, and share learned models across two or more separate system installations.
    • 在日常生活环境中操作一个行为者的监视和响应系统的系统和方法,其依赖于学习的行为模型来适应系统操作。 学习的行为模型优选地包括根据所分配的分区值组织的顺序模式,其依次是对累积数据的评估而产生的。 基于学习的行为模型,系统可以基于预期或意外的活动产生更适当的响应计划,更容易地识别预期活动,识别放弃的任务,制定方法选择的概率,构建行动成功的概率,预期和响应 在环境中的演员运动,优化响应计划的有效性,并在两个或多个单独的系统安装中共享学习的模型。