Cook Diane J, Crandall Aaron, Singla Geetika, Thomas Brian
Washington State University Pullman, WA 99163.
Cybern Syst. 2010 Feb 1;41(2):90-104. doi: 10.1080/01969720903584183.
The pervasive sensing technologies found in smart environments offer unprecedented opportunities for monitoring and assisting the individuals who live and work in these spaces. An aspect of daily life that is important for one's emotional and physical health is social interaction. In this paper we investigate the use of smart environment technologies to detect and analyze interactions in smart spaces. We introduce techniques for collect and analyzing sensor information in smart environments to help in interpreting resident behavior patterns and determining when multiple residents are interacting. The effectiveness of our techniques is evaluated using two physical smart environment testbeds.
智能环境中广泛存在的传感技术为监测和协助在这些空间中生活和工作的个人提供了前所未有的机会。对一个人的情绪和身体健康至关重要的日常生活方面是社交互动。在本文中，我们研究了使用智能环境技术来检测和分析智能空间中的互动。我们介绍了用于在智能环境中收集和分析传感器信息的技术，以帮助解释居民行为模式并确定多个居民何时在进行互动。我们使用两个物理智能环境测试平台对我们技术的有效性进行了评估。
