Emotion Recognition using Wireless Signals
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Katabi_Emotion recognition.pdf
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521.92 KB
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Checksum (MD5)
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Author(s)
Zhao, Mingmin
Adib, Fadel
Katabi, Dina
Date Issued
October 2016
Journal
Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking, MobiCom '16
Publisher
Association for Computing Machinery
Citation
Zhao, Mingmin, Fadel Adib, and Dina Katabi. "Emotion Recognition Using Wireless Signals." Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking, New York City, New York, 3-7 October, 2016, ACM Press, 2016, pp. 95–108.
Version
Author's final manuscript
Abstract
This paper demonstrates a new technology that can infer a person's emotions from RF signals reflected off his body. EQ-Radio transmits an RF signal and analyzes its reflections off a person's body to recognize his emotional state (happy, sad, etc.). The key enabler underlying EQ-Radio is a new algorithm for extracting the individual heartbeats from the wireless signal at an accuracy comparable to on-body ECG monitors. The resulting beats are then used to compute emotion-dependent features which feed a machine-learning emotion classifier. We describe the design and implementation of EQ-Radio, and demonstrate through a user study that its emotion recognition accuracy is on par with state-of-the-art emotion recognition systems that require a person to be hooked to an ECG monitor. Keywords: Wireless Signals; Wireless Sensing; Emotion Recognition;
Affective Computing; Heart Rate Variability
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2973750.2973762
