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3 Result(s)

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  1. No Access

    Article

    Motion codeword generation using selective subsequence clustering for human action recognition

    The understanding of human activity is one of the key research areas in human-centered robotic applications. In this paper, we propose complexity-based motion features for recognizing human actions. Using a ti...

    Woo Young Kwon, Sang Hyoung Lee, Il Hong Suh in Intelligent Service Robotics (2017)

  2. No Access

    Article

    Modeling and evaluating Gaussian mixture model based on motion granularity

    To model manipulation tasks, we propose a novel method for learning manipulation skills based on the degree of motion granularity. Even though manipulation tasks usually consist of a mixture of fine-grained an...

    Nam Jun Cho, Sang Hyoung Lee, Il Hong Suh in Intelligent Service Robotics (2016)

  3. No Access

    Article

    Autonomous framework for segmenting robot trajectories of manipulation task

    In manipulation tasks, motion trajectories are characterized by a set of key phases (i.e., motion primitives). It is therefore important to learn the motion primitives embedded in such tasks from a complete de...

    Sang Hyoung Lee, Il Hong Suh, Sylvain Calinon, Rolf Johansson in Autonomous Robots (2015)