Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Frederick Henle

dblp:25/2680 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computer animation and physical simulation · 100%
Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction › haptic interaction
force-feedback interaction
0.012000
Using Haptic Vector Fields for Animation Motion Control · ICRA 2000

Methods — techniques the papers use, named apart from their topics

trajectory deformation · 0.1haptic vector fields · 0.1
YearPublicationVenuePosition
2000 Using Haptic Vector Fields for Animation Motion Control
abstract
We are developing paradigms and algorithms for browsing and editing families of animation using a haptic force-feedback device called a Phantom. These techniques may be generalized to navigation of any high degree-of-freedom system from a lower degree-of-freedom control space, with applications to telerobotics and simulation of virtual humans. We believe that modeling the animation configuration space coupled with the highly interactive nature of the haptic device provides one with useful and intuitive means of control. We have implemented our ideas in a system for the manipulation of animation motion capture data; in particular, anthropomorphic figures with 57 degrees of freedom are controlled by the user in real time. We treat trajectories, which encode animation, as first-class objects; haptic manipulation of these trajectories results in change to the animation. We have several haptic editing modes in which these trajectories are either haptically deformed or performed by the user with expressive control subject to dynamic haptic constraints.
Bruce Randall Donald, Frederick Henle
ICRA2