This paper from MIT describes a technology that can read emotions accurately by detecting heartbeats simply by bouncing a wireless signal off a person. It is supposedly as accurate as a an electrocardiogram. Reading emotions this way is pretty amazing, but to me just the idea of reading a heartbeat accurately this way sounds like a pretty big deal in a medical setting. It also could have obvious implications in psychology, and quite possibly disturbing uses in security, intelligence, military and business settings. Imagine something like Google Glass giving you information on the health and emotions of a person you are talking to.
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.