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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


     

    News

    Paper

    According to scientists it is possible to predict whose marriages will fail by looking at photographs taken decades earlier

    According to the paper, they estimate intensity of smile by summing the FACS coding intensity (neutral:0, A-E:1-5) of AU6+AU12.

    Study 1: Photos of  300 married subjects are collected from college yearbook. Among them, 55 were divorced.

    Study 2: Childhood photos (age 5-22) provided by 55 subjects.

    Logistic Regression was used to learn the predicative model (Divorced?) ~ (Smile Intensity).

    There is no performance measurement except for some significance tests.

    http://www.google.com/hostednews/afp/article/ALeqM5j1F1VEHktMpXSaXrLUgr4coIDfPg

    In the two years since then, he said, CB2 has taught itself how to walk with the aid of a human and can now move its body through a room quite smoothly, using 51 “muscles” driven by air pressure.

    @inproceedings{MPLabLearningToLearnICDL2007,
    Address = {London, UK},
    Author = {Nicholas J. Butko and Javier R. Movellan},
    Booktitle = {Proceedings of the International Conference on Development and Learning (ICDL)},
    Title = {Learning to Learn},
    Year = {2007}}

    @inproceedings{MPLabIPOMDP2008,
    Author = {Nicholas J. Butko and Javier R. Movellan},
    Booktitle = {Proceedings of the International Conference on Development and Learning (ICDL)},
    Month = {August},
    Title = {{I-POMDP: A}n Infomax Model of Eye Movement},
    Year = {2008}}

    @misc{MPLabNMPT,
    Author = {Nicholas J. Butko},
    Howpublished = {  \url{http://mplab.ucsd.edu/~nick/NMPT}},
    Title = {{N}ick’s {M}achine {P}erception {T}oolbox},
    }

    @inproceedings{MPLabOptimalScanningCVPR2009,
    Author = {Nicholas J. Butko and Javier R. Movellan},
    Booktitle = {Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    Title = {Optimal Scanning for Faster Object Detection},
    Year = {2009}

    }

    @inproceedings{MPLabICDL2006,
    Author = {Nicholas J. Butko and Ian R. Fasel and Javier R. Movellan},
    Booktitle = {Proceedings of the IEEE International Conference on Development and Learning (ICDL)},
    Title = {Learning About Humans During the First 6 Minutes of Life},
    Year = {2006}
    }

    The Cognitive Science Distinguished Speaker Series presents
    Michael Tomasello, Ph.D.,
    Max Planck Institute for Evolutionary Anthropology

    Collaboration and Communication in Children and Chimpanzees
    Monday, 6 April 2009, 4 – 6p
    Center Hall 216

    Human beings share many cognitive skills with their nearest primate relatives, especially those for dealing with the physical world of objects (and categories and quantities of objects) in space and their causal interrelations. But humans are in addition biologically adapted for cultural life in ways that other primates are not. Specifically, humans have evolved unique motivations and cognitive skills for understanding other persons as cooperative agents with whom one can share emotions, experience, and collaborative actions (shared intentionality). These motivations and skills first emerge in human ontogeny at around one year of age, as infants begin to participate with other persons in various kinds of collaborative and joint attentional activities. Participation in such activities leads humans to construct during ontogeny perspectival and dialogical cognitive representations

    Chimpanzee Social Cognition
    Tuesday, 7 April 2009, 11a – 12:15p
    SSB 107

    After years of debate about whether chimpanzees do or do not have a “theory of mind”, recent research suggests that the question must be asked in a more differentiated way. Thus, there is currently very good evidence that chimpanzees understand that others have goals, and even intentions in the sense that actors choose a behavioral means to their goal in light of the constraints of the situation. Similarly, there is currently very good evidence that chimpanzees understand that others see things, and even know things (in the sense of having seen them previously). Nevertheless, despite several seemingly valid attempts, there is currently no evidence that chimpanzees understand false beliefs. Our conclusion for the moment is thus that chimpanzees understand others in terms of a perception–goal psychology, as opposed to a full-fledged, human-like belief–desire psychology.


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