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ACUMEN: Amplifying Control and Understanding of Multiple ENtities


In virtual environments, the control of numerous entities in multiple dimensions can be difficult and tedious. In this project, we present a system for synthesizing and recognizing aggregate movements in a virtual environment with a high-level natural language) interface. The principal components include: an interactive interface for aggregate control based on a collection of parameters extending an existing movement quality model, a feature analysis of aggregate motion verbs, recognizers to detect occurrences of features in a collection of simulated entities, and a clustering algorithm that determines subgroups. Results based on simulations and a sample instruction application are shown.


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