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Philippe Charbonneau

dblp:182/7524 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 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
Virtual and augmented reality · 100%
Human-computer interaction and pervasive computing
1 paper
Health and well-being technologies · 100%

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

TopicWeightPapersLastEvidence papers
Virtual and augmented reality › immersive interaction
self-avatar animation		 0.212016
Animated self-avatars for motor rehabilitation applications that are biomechanically accurate, low-latency and easy to use · VR 2016
Health and well-being technologies › rehabilitation
motor rehabilitation		 0.112016
Animated self-avatars for motor rehabilitation applications that are biomechanically accurate, low-latency and easy to use · VR 2016

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

bone-segment definition · 0.5biomechanical modeling · 0.5
YearPublicationVenuePosition
2016 Animated self-avatars for motor rehabilitation applications that are biomechanically accurate, low-latency and easy to use
abstract
The emerging use of self-avatars for physical and motor rehabilitation leads to specific requirements for their real-time animation that combine properties from the fields of computer graphics and of biomechanics. We present a method for animating a self-avatar in real-time that allows for high-fidelity representation of whole-body kinematics using anatomical and reproducible bone-segment definition. The method requires little setup time and has low motion-to-photon latency.
Mikael Dallaire-Cote, Philippe Charbonneau, Sara St-Pierre Cote, Rachid Aissaoui, David R. Labbé
 VR2