Ubiquitous Robotics in Physical Human Action Recognition: A Comparison Between Dynamic ANNs and GP

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  author =       "Theodoros Theodoridis and Alexandros Agapitos and 
                 Huosheng Hu and Simon M. Lucas",
  title =        "Ubiquitous Robotics in Physical Human Action
                 Recognition: A Comparison Between Dynamic ANNs and GP",
  booktitle =    "2008 IEEE International Conference on Robotics and
  year =         "2008",
  pages =        "3064--3069",
  month =        may,
  keywords =     "genetic algorithms, genetic programming, dynamic
                 artificial neural network, perception-to-action
                 architecture, physical human action recognition,
                 ubiquitous 3D sensory tracker system, ubiquitous mobile
                 robot, mobile robots, neural nets, object recognition,
                 time series, ubiquitous computing",
  ISSN =         "1050-4729",
  DOI =          "doi:10.1109/ROBOT.2008.4543676",
  abstract =     "Two different classifier representations based on
                 dynamic Artificial Neural Networks (ANNs) and Genetic
                 Programming (GP) are being compared on a human action
                 recognition task by an ubiquitous mobile robot. The
                 classification methodologies used, process time series
                 generated by an indoor ubiquitous 3D tracker which
                 generates spatial points based on 23 reflectable
                 markers attached on a human body. This investigation
                 focuses mainly on class discrimination of normal and
                 aggressive action recognition performed by an
                 architecture which implements an interconnection
                 between an ubiquitous 3D sensory tracker system and a
                 mobile robot to perceive, process, and classify
                 physical human actions. The 3D tracker and the robot
                 are used as a perception-to-action architecture to
                 process physical activities generated by human
                 subjects. Both classifiers process the activity time
                 series to eventually generate surveillance assessment
                 reports by generating evaluation statistics indicating
                 the classification accuracy of the actions
  notes =        "http://www.icra2008.org/ Also known as

Genetic Programming entries for Theodoros Theodoridis Alexandros Agapitos Huosheng Hu Simon M Lucas