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Multi-Person Motion Capture Dataset for Analyzing Human Interaction

David V. Lu, Annamaria Pileggi, and William D. Smart.
In "Proceedings of the RSS 2011 Workshop on Human-robot interaction: Perspectives and contributions to robotics from the human sciences", 2011.

As robots become more articulated, the space of potential movements increases exponentially. The easiest-to-program and most efficient paths that robots move through are often not perceived by humans to be "natural." We present one potential source for information about the appropriate ways to move, in the form of motion capture data from actors. By leveraging the precise and specific nature of trained actors’ movements, we can begin to see the qualities and relationships these motions have. In addition to the specifics that went into constructing this data set, we also present our initial principal component analysis of the motions.

@inproceedings{rss-ws-11,
  author = {Lu, David V. and Pileggi, Annamaria and Smart, William D.},
  title = {Multi-Person Motion Capture Dataset for Analyzing Human Interaction},
  booktitle = {Proceedings of the RSS 2011 Workshop on Human-robot interaction: Perspectives and contributions to robotics from the human sciences},
  year = {2011}
}