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Pearson Wyder-Hodge

dblp:224/0677 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0002-6910-3214ORCID · reported

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

Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

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.

Artificial intelligence
1 paper
3D vision · 100%
Computer graphics and multimedia
1 paper
Computer animation and physical simulation · 50% Geometric modeling and processing · 50%
Human-computer interaction and pervasive computing
1 paper
Wearable and physiological sensing · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
motion capture
0.812024
Measuring Human Motion Under Clothing · SIGGRAPH Asia 2024
Computer animation and physical simulation › deformable body simulation
soft tissue simulation
0.312018
The human touch: measuring contact with real human soft tissues · ACM Trans. Graph. 2018
Wearable and physiological sensing
motion sensing
0.212024
Measuring Human Motion Under Clothing · SIGGRAPH Asia 2024

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

parameter estimation · 0.3finite element method · 0.3
YearPublicationVenuePosition
2024 Measuring Human Motion Under Clothing
Luis Bolanos, Pearson Wyder-Hodge, Xindong Lin, Dinesh K. Pai
SIGGRAPH Asia2
2018 The human touch: measuring contact with real human soft tissues
abstract
Simulating how the human body deforms in contact with external objects, tight clothing, or other humans is of central importance to many fields. Despite great advances in numerical methods, the material properties required to accurately simulate the body of a real human have been sorely lacking. Here we show that mechanical properties of the human body can be directly measured using a novel hand-held device. We describe a complete pipeline for measurement, modeling, parameter estimation, and simulation using the finite element method. We introduce a phenomenological model (the sliding thick skin model) that is effective for both simulation and parameter estimation. Our data also provide new insights into how the human body actually behaves. The methods described here can be used to create personalized models of an individual human or of a population. Consequently, our methods have many potential applications in computer animation, product design, e-commerce, and medicine.
Dinesh K. Pai, Austin Rothwell, Pearson Wyder-Hodge, Alistair Wick, Egor Larionov, Darcy Harrison, Debanga Raj Neog, Cole Shing
ACM Trans. Graph.3