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Details van artikel 8 van 21 gevonden artikelen
| Titel: |
CONFERRING HUMAN ACTION RECOGNITION SKILLS TO LIFE-LIKE AGENTS |
| Auteur: |
Emering, Luc Boulic, Ronan Thalmann, Daniel |
| Verschenen in: |
Applied artificial intelligence |
| Paginering: | Jaargang 13 (1999) nr. 4-5 pagina's 539-565 |
| Jaar: |
1999-05-01 |
| Inhoud: |
Most of today's virtual environments are populated with some kind of autonomous life - like agents . Such agents follow a preprogrammed sequence of behaviors that excludes the user as a participating entity in the virtual society . In order to make inhabited virtual reality an attractive place for information exchange and social interaction , we need to equip the autonomous agents with some perception and interpretation skills . In this paper we present one skill: human action recognition . By opposition to human - computer interfaces that focus on speech or hand gestures , we propose a full - body integration of the user . We present a model of human actions along with a real - time recognition system . To cover the bilateral aspect in human - computer interfaces , we also discuss some action response issues . In particular , we describe a motion management library that solves animation continuity and mixing problems . Finally , we illustrate our systemwith two examples and discuss what we have learned . |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 8 van 21 gevonden artikelen
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