IEEE Spectrum May 30, 2019
Researchers at MIT have demonstrated a new technology that can infer a person’s emotions from RF signals reflected off a person’s 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. They 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…read more. Open Access TECHNICAL ARTICLE
Household Radar Can See Through Walls and Knows How You’re Feeling
Posted in Sensors and tagged Seeing through the wall.