Mathematical models of sleep-wake and alertness dynamics.
Predicts need for sleep and common measures of alertness based on past history and current context...
Predictions have been experimentally validated on both laboratory and real-world data...
Supports time-zone information: proper handling of daylight savings transition; jet-lag; approximate sunrise/sunset times
Models adjust to lighting information, with the option the provide specific lighting in addition to a built in day night profile.
Given a schedule, recommends sleep times that optimise either total sleep time or alertness during work shifts.