Learning Actions from Observations

@article{Krger2010LearningAF,
  title={Learning Actions from Observations},
  author={Volker Kr{\"u}ger and Dennis Herzog and Sanmohan Baby and Ales Ude and Danica Kragic},
  journal={IEEE Robotics & Automation Magazine},
  year={2010},
  volume={17},
  pages={30-43}
}
In the area of imitation learning, one of the important research problems is action representation. There has been a growing interest in expressing actions as a combination of meaningful subparts called action primitives. Action primitives could be thought of as elementary building blocks for action representation. In this article, we present a complete concept of learning action primitives to recognize and synthesize actions. One of the main novelties in this work is the detection of… CONTINUE READING
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Parametric hidden Markov models for recognition and synthesis of movements

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