Emotion Recognition using Wireless Signals

Mingmin Zhao, Fadel Adib, Dina Katabi

Emotion Recognition using Wireless Signals. Mingmin Zhao, Fadel Adib, Dina Katabi. International Conference on Mobile Computing and Networking (Mobicom’16)


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 stateof-the-art emotion recognition systems that require a person to be hooked to an ECG monitor.

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