The ever-evolving informatics technology has gradually bounded human and computer in a compact way. Understanding user behavior becomes a key enabler in many fields such as sedentary-related healthcare, human-computer interaction and affective computing. Traditional sensor-based and vision-based user behavior analysis approaches are obtrusive in general, hindering their usage in real-world. Therefore, in this article, we first introduce the WiFi signal as a new source instead of sensor and vision for unobtrusive user behaviors analysis. Then we design BeSense, a contactless behavior analysis system leveraging signal processing and computational intelligence over WiFi channel state information. We prototype BeSense on commodity low-cost WiFi devices and evaluate its performance in real-world environments. Experimental results have verified its effectiveness in recognizing user behaviors.

中文翻译：

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BeSense：利用 WiFi 信道数据和计算智能进行行为分析

不断发展的信息学技术逐渐以紧凑的方式将人与计算机结合起来。了解用户行为成为许多领域的关键推动因素，例如与久坐相关的医疗保健、人机交互和情感计算。传统的基于传感器和基于视觉的用户行为分析方法通常很突兀，阻碍了它们在现实世界中的使用。因此，在本文中，我们首先介绍 WiFi 信号作为一种新的来源，而不是传感器和视觉，用于不引人注目的用户行为分析。然后我们设计了 BeSense，这是一种非接触式行为分析系统，利用信号处理和计算智能来处理 WiFi 信道状态信息。我们在商用低成本 WiFi 设备上对 BeSense 进行原型设计，并评估其在实际环境中的性能。