Center for Human Modeling and Simulation
Document Type
Conference Paper
Date of this Version
July 2002
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 com- ponents include: an interactive interface for aggregate con- trol based on a collection of parameters extending an exist- ing 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.
Recommended Citation
Allbeck, J., Kipper, K., Adams, C., Schuler, W., Zoubanova, E., Badler, N. I., Palmer, M., & Joshi, A. K. (2002). ACUMEN: Amplifying Control and Understanding of Multiple ENtities. Retrieved from https://repository.upenn.edu/hms/33
Date Posted: 17 July 2007
This document has been peer reviewed.
Comments
Postprint version. Copyright ACM, 2002. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the International Conference on Autonomous Agents, pages 191-198.
Publisher URL: http://doi.acm.org/10.1145/544741.544788