The research began as a scientific test of whether subtle changes in pupil dilation and eye movement could reveal deception as reliably as a polygraph.

Scientists have developed an artificial intelligence system capable of identifying subtle signs of brain disorders, including Parkinson’s disease, by analyzing simple video recordings of a person’s ...

Please provide your email address to receive an email when new articles are posted on . A smartphone app accurately identified a type of rapid uncontrollable eye movement associated with stroke. The ...

Sensors placed on loose, everyday clothing can track human movement more accurately and with far less data than traditional tight wearables.

Measuring human movement with tracking devices on looser clothing is more accurate than on tight body suits or straps. The discovery by scientists at King's College London could mark a potential ...

AI-powered algorithm can analyze video recordings of clinical sleep tests and more accurately diagnose REM sleep behavior disorder. A Mount Sinai-led team of researchers has enhanced an artificial ...