CACM September 2018 - Emotion Recognition Using Wireless Signals

In this video, Dina Katabi and Mingmin Zhao discuss "Emotion Recognition Using Wireless Signals," a Research Highlights article in the September 2018 Communications of the ACM about research that 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.

Видео CACM September 2018 - Emotion Recognition Using Wireless Signals канала Association for Computing Machinery (ACM)