高度动态社会环境中同步无线多模多传感器数据采集的模块化方法
A Modular Approach for Synchronized Wireless Multimodal Multisensor Data Acquisition in Highly Dynamic Social Settings
摘要：
人类行为研究的现有数据采集文献提供了有线解决方案，主要用于受控实验室设置。在不受控制的独立对话环境中，参与者可以自由走动，这些解决方案是不合适的。虽然无线解决方案被用于广播行业，但它们可能过于昂贵。在这项工作中，我们提出了一个模块化的和具有成本效益的无线方法同步多传感器数据采集的社会人类行为。我们的核心思想是通过使用网络时间协议（NTP）作为所有传感器的源参考，来权衡成本和精度。虽然NTP通常用作普适计算中的参考，但人们普遍认为NTP作为视频应用的参考不够准确，其中基于精确时间协议（PTP）或全球定位系统（GPS）的参考是优选的。然而，我们认为，并表明，通过使用NTP作为源参考引入的延迟是足够的人类行为研究，和随后的成本和模块化的好处是一个理想的权衡在这一领域的应用程序。我们还描述了一个实例的方法部署在现实世界中的实验，以证明我们的设置在野外的实用性。
英文摘要：
Existing data acquisition literature for human behavior research provides wired solutions, mainly for controlled laboratory setups. In uncontrolled free-standing conversation settings, where participants are free to walk around, these solutions are unsuitable. While wireless solutions are employed in the broadcasting industry, they can be prohibitively expensive. In this work, we propose a modular and cost-effective wireless approach for synchronized multisensor data acquisition of social human behavior. Our core idea involves a cost-accuracy trade-off by using Network Time Protocol (NTP) as a source reference for all sensors. While commonly used as a reference in ubiquitous computing, NTP is widely considered to be insufficiently accurate as a reference for video applications, where Precision Time Protocol (PTP) or Global Positioning System (GPS) based references are preferred. We argue and show, however, that the latency introduced by using NTP as a source reference is adequate for human behavior research, and the subsequent cost and modularity benefits are a desirable trade-off for applications in this domain. We also describe one instantiation of the approach deployed in a real-world experiment to demonstrate the practicality of our setup in-the-wild.
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