Emotion Recognition using Wireless Signals
Author(s)
Zhao, Mingmin; Adib, Fadel; Katabi, Dina
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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
Date issued
2016-10Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Program in Media Arts and Sciences (Massachusetts Institute of Technology)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
ISBN
978-1-4503-4226-1