Our work in this area focuses on three aspects: 1) developing the non-intrusive and real time sensing techniques (vision sensors and physiological sensors)for extracting various features typically characterizing the state of the user; 2) develop a probabilistic framework based on the Bayesian Networks to systematically integrate various sensory measurements to produce a composite index characterizing user's state; 3) determining the optimal assistance to provide to user in order to maintain user productivity and performance.

  • Real-Time Non-Invasive Human Fatigue Monitoring (Sponsors: Honda, AFOSR, and Darpa)

  • A Prototype Emotional Mouse for Non-intrusive Acquistion of Physiological and Behavioral Data

  • User Emotion Recognition and Assistance (Sponsor: Darpa)

  • Automatic Facial Actions Recognition

  • Vision Based Human Computer Interaction:
    Eye Detection, gaze tracking, facial feature tracking, 3D face pose tracking, facial expression analysis, and face tracking

  • Operator function state and performance modeling and recognition from psychophysiological measurements (Sponsor: NASA via IAI)

  • A Real-time Solider State and Performance Monitoring and Predication via Multi-modal Physiological and behavioral Signals (Sponsor: Air Force Research Laboratory via IAI)