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Meeting Behavior Detection in Smart Environments: Nonverbal Cues that Help to Obtain Natural Interaction

机译:在智能环境中满足行为检测:有助于获得自然互动的非语言提示

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摘要

Unobtrusive and multiple-sensor interfaces enable observation of natural human behavior in smart environments. Being able to detect, analyze and interpret this activity allows for the implementation of various applications, including real-time surveillance and real-time support in smart home and office environments. We focus on smart meeting environments, where nonverbal behavioral cues sometimes tell more about issues such as discussion participation, involvement and contribution, than information obtained from verbal contributions. An important aspect of this behavior is the interaction between meeting participants. We regard the special case where some of the participants are at physically different locations, which hinders natural interaction. We discuss how we can exploit the ability of a sensor-equipped environment to detect nonverbal interaction cues and use these to allow and improve natural interaction between collaborating participants at distributed locations. We focus on research efforts to detect nonverbal interaction cues by looking at various modalities. Also, we discuss how information obtained from the fusion of these modalities allows us to generate and display behavioral cues that allow remote participants to take part in a distributed meeting in a natural way.
机译:不受干扰的多传感器界面使您能够观察智能环境中自然的人类行为。能够检测,分析和解释此活动可以实现各种应用程序,包括在智能家居和办公环境中的实时监视和实时支持。我们专注于智能会议环境,在该环境中,非言语行为提示有时会比讨论从言语贡献中获得的信息更多地说明诸如讨论参与,参与和贡献等问题。这种行为的一个重要方面是会议参与者之间的互动。我们以特殊情况为例,其中一些参与者位于身体上不同的位置,这阻碍了自然互动。我们讨论了如何利用配备传感器的环境检测非语言交互提示的能力,并使用它们来允许和改善分布式位置的协作参与者之间的自然交互。我们专注于通过研究各种形式来检测非语言交互线索的研究工作。此外,我们还将讨论从这些模式的融合中获得的信息如何使我们生成并显示行为线索,从而使远程参与者能够自然地参加分布式会议。

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