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Watch-Bot: Unsupervised Learning for Reminding Humans of Forgotten Actions, ICRA, 2016.
An average adult forgets three key facts, chores or events every day in a home. To detect the action structure in the complex activities, we propose a compact yet expressive representation
that draws parallels to document modeling in the natural language. The activity is represented as a sequence of human and object “words” linked to human-skeleton and object interaction “trajectories”.