Ubiquitous Robotics in Physical Human Action Recognition: A Comparison Between Dynamic ANNs and GP
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{Theodoridis:2008:icra,
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author = "Theodoros Theodoridis and Alexandros Agapitos and
Huosheng Hu and Simon M. Lucas",
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title = "Ubiquitous Robotics in Physical Human Action
Recognition: A Comparison Between Dynamic ANNs and GP",
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booktitle = "2008 IEEE International Conference on Robotics and
Automation",
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year = "2008",
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pages = "3064--3069",
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month = may,
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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",
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ISSN = "1050-4729",
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DOI = "doi:10.1109/ROBOT.2008.4543676",
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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
recognised.",
-
notes = "http://www.icra2008.org/ Also known as
\cite{4543676}",
- }
Genetic Programming entries for
Theodoros Theodoridis
Alexandros Agapitos
Huosheng Hu
Simon M Lucas
Citations