EmoSense:通过现成的WiFi设备进行数据驱动的情感感知

Yu Gu, Tao Liu, Jie Li, Fuji Ren, Zhi Liu, Xiaoyan Wang, Pengjie Li
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引用次数: 23

摘要

情感是人类独有的特征。最近对情绪感知的研究已经揭示了它在通过情感伴侣和自闭症治疗等应用来增强我们的生活体验方面的潜力。然而,现有的探索视听线索或心理传感器的解决方案存在几个关键问题,如可用性(专用硬件)、可靠性(照明和视线限制)和隐私问题(被监视)。为此,我们提出了EmoSense,这是一种基于wifi的情感传感系统,利用由情感的物理表达引起的无线信道数据上的时间和频率指纹。EmoSense已经在现成的WiFi设备上进行了原型设计,并在真实环境中与主流的基于传感器的方法进行了比较。实验结果证明了该方法的有效性和鲁棒性。考虑到EmoSense与现有WiFi基础设施兼容,它构成了一种低成本但有前景的情感感知解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EmoSense: Data-Driven Emotion Sensing via Off-the-Shelf WiFi Devices
Emotion is a unique feature of human beings. Recent research in emotion sensing has already revealed its potentials in enhancing our living experiences through applications like emotion companion and autism treatment. However, existing solutions exploring audiovisual clues or psychological sensors have several critical concerns such as the availability (specialized hardware), reliability (illumination and line-of-sight constraints) and privacy issues (being watched). To this end, we present EmoSense, a first-of-its-kind WiFi-based emotion sensing system leveraging the temporal and frequency fingerprints on the wireless channel data induced by the physical expression of emotion. EmoSense has been prototyped with off- the-shelf WiFi devices and evaluated by comparing with the main-stream sensor-based approach in real environments. Experimental results demonstrate its effectiveness and robustness. Considering that EmoSense is compatible with existing WiFi infrastructures, it constitutes a low-cost yet promising solution for emotion sensing.
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