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An Individual Behavioral Pattern to Provide Ubiquitous Service in Intelligent Space

机译:在智能空间中提供普遍服务的个人行为模式

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We develop an intelligent space "Tagged World", aiming to provide proactive services according to user intention in a ubiquitous environment. User behavior must be precisely recognized to provide appropriate services for individual user. This paper proposes a user behavior detection method with a personalized behavioral pattern in the Tagged World which identifies objects a user touches. They are adapted to individual user. Our method focuses on special scenes in which user's mode significantly changes, such as a scene of going out. Proactive services can be provided to user most effectively in such scenes. The method detects user behavior with a behavioral pattern represented by discrete order of target objects of user operation. It separates the order check from a probabilistic model. Because a behavioral pattern can be adapted to individual user in a short time, the method can start providing services to user early. Experiments have proved that our method detects more than 90% of user behavior correctly with a behavioral pattern which is created in a practical short time with less than 10 sample behavior logs.
机译:我们开发了一个智能空间“ Tagged World”,旨在在无处不在的环境中根据用户意图提供主动服务。必须准确识别用户行为,才能为单个用户提供适当的服务。本文提出了一种在“标记世界”中具有个性化行为模式的用户行为检测方法,该方法可识别用户触摸的对象。它们适合于单个用户。我们的方法着眼于用户模式显着变化的特殊场景,例如外出场景。在这样的场景中,可以最有效地向用户提供主动服务。该方法检测具有由用户操作的目标对象的离散顺序表示的行为模式的用户行为。它将订单检查与概率模型分开。由于行为模式可以在短时间内适应单个用户,因此该方法可以尽早开始向用户提供服务。实验证明,我们的方法能够以一种行为模式正确检测出90%以上的用户行为,而这种行为模式是在短时间内创建的少于10个样本行为日志的行为模式。

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