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首页> 外文会议>IFIP(International Federation for Information Processing) WG 10.2 International Workshop on Software Technologies for Embedded and Ubiquitous Systems(SEUS 2007); 20070507-08; Santorini Island(GR) >Effective Appliance Selection by Complementary Context Feeding in Smart Home System
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Effective Appliance Selection by Complementary Context Feeding in Smart Home System

机译：通过智能家居系统中的辅助上下文馈送进行有效的设备选择

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摘要

Smart Home System (SHS) is one of popular applications in ubiquitous computing, which provides convenient services for a user with user-friendly intelligent system interfaces. Among them, voice recognition is a popular interface. However, voice command statements given by users are often too unclear and incomplete for the devices in SHS to understand the original user intention. So, the devices become complicated and have no idea about whether to work or not. Therefore, we should make sure the proximate selection for the devices which will be eventually targeted and operated following user intention. In this paper, we propose an effective method to make a decision in electing a promising target device among candidates by taking advantage of complementary context feeding around user environment in SHS even with initial incomplete interface information. The proposed method is based on Bayes theorem using the way of empirical statistic inference.
机译：智能家居系统（SHS）是普适计算中的流行应用程序之一，它通过用户友好的智能系统界面为用户提供便捷的服务。其中，语音识别是一种流行的界面。但是，用户给出的语音命令陈述对于SHS中的设备而言通常太不清楚和不完整，以至于无法理解用户的原始意图。因此，设备变得复杂并且不知道是否工作。因此，我们应确保根据用户的意愿最终选择目标设备并进行操作。在本文中，我们提出了一种有效的方法，即使在初始界面信息不完整的情况下，也可以利用SHS中围绕用户环境的补充上下文馈送，来在候选人中选择有前途的目标设备做出决策。该方法基于贝叶斯定理，采用经验统计推断的方法。

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