ACUMEN: Amplifying Control and Understanding of Multiple
ENtities
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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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