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The goal of the MPLab is to develop systems that perceive and interact with humans in real time using natural communication channels. To this effect we are developing perceptual primitives to detect and track human faces and to recognize facial expressions. We are also developing algorithms for robots that develop and learn to interact with people on their own. Applications include personal robots, perceptive tutoring systems, and system for clinical assessment, monitoring, and intervention.

  • Introduction to the MPLab (PDF)
  • MPLAB 5 Year Progress Report (PDF)

  • NEWS

    Tutorial on Conditional Random Fields

    Albert Tarantola (2004) Inverse Problem Theory for Model Parameter Estimation

    New Developments on Autism and Early Learning

    Another version of the same story

    To browse through the CVPR 2008 Conference DVD click here.

    To browse through the CVPR 2008 Workshops CD-ROM click here.

    Chronicle of Higher Education discusses research on facial expression recognition for ITS.

    BBC Leading Edge Report on the TDLC/LIFE collaboration to use RUBI as a second language teacher. Broadcasted June 19 2008. feature on Jake Whitehill’s Project on Learning to Teach

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