EmoSense: Data-Driven Emotion Sensing via Off-the-Shelf WiFi Devices
EmoSense: Data-Driven Emotion Sensing via Off-the-Shelf WiFi Devices
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DOI：
10.1109/icc.2018.8422330
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发表时间：
2018-05
期刊：
影响因子：
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通讯作者：
Yu Gu;Tao Liu;Jie Li;Fuji Ren;Zhi Liu;Xiaoyan Wang;Pengjie Li
中科院分区：
文献类型：
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作者：
Yu Gu;Tao Liu;Jie Li;Fuji Ren;Zhi Liu;Xiaoyan Wang;Pengjie Li
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.
