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    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)

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    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)

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    Chapter

    Motion-Based Learning

    In this Chapter, we introduce several learning approaches to generate non-preprogrammed motions for a virtual human. Motion primitives and their causalities should first be learned from a task, which consists ...

    Il Hong Suh, Sang Hyoung Lee in Context Aware Human-Robot and Human-Agent Interaction (2016)