ACUMEN: amplifying control and understanding of multiple entities

  • Authors:
  • Jan Allbeck;Karin Kipper;Charles Adams;William Schuler;Elena Zoubanova;Norman Badler;Martha Palmer;Aravind Joshi

  • Affiliations:
  • Computer and Information Science, Philadelphia, PA;Computer and Information Science, Philadelphia, PA;Computer and Information Science, Philadelphia, PA;Computer and Information Science, Philadelphia, PA;Computer and Information Science, Philadelphia, PA;Computer and Information Science, Philadelphia, PA;Computer and Information Science, Philadelphia, PA;Computer and Information Science, Philadelphia, PA

  • Venue:
  • Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

In virtual environments, the control of numerous entities in multiple dimensions can be difficult and tedious. In this paper, 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.