Movement extraction by detecting dynamics switches and repetitions

  title={Movement extraction by detecting dynamics switches and repetitions},
  author={Silvia Chiappa and Jan Peters},
Many time-series such as human movement data consist of a sequence of basic actions, e.g., forehands and backhands in tennis. Automatically extracting and characterizing such actions is an important problem for a variety of different applications. In this paper, we present a probabilistic segmentation approach in which an observed time-series is modeled as a concatenation of segments corresponding to different basic actions. Each segment is generated through a noisy transformation of one of a… CONTINUE READING

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