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David D. Yuh

dblp:72/4815 · DBLP profile ↗
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5ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 3Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2Graphics, computer vision, multimedia, augmented reality and games · 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.

Human-computer interaction and pervasive computing
2 papers
Human-robot interaction · 53% Haptics and multimodal interaction · 47%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
teleoperation
0.222009
Effects of haptic and graphical force feedback on teleoperated palpation · ICRA 2009
Design considerations and human-machine performance of moving virtual fixtures · ICRA 2009
Haptics and multimodal interaction › haptic feedback
force feedback
0.122009
Effects of haptic and graphical force feedback on teleoperated palpation · ICRA 2009
Design considerations and human-machine performance of moving virtual fixtures · ICRA 2009
Haptics and multimodal interaction
haptic feedback
0.112009
Effects of haptic and graphical force feedback on teleoperated palpation · ICRA 2009
Human-robot interaction › healthcare robotics
robot-assisted surgery
0.112009
Design considerations and human-machine performance of moving virtual fixtures · ICRA 2009
Human-robot interaction › teleoperation
surgical robot teleoperation
0.112009
Effects of haptic and graphical force feedback on teleoperated palpation · ICRA 2009
Haptics and multimodal interaction
multimodal feedback
0.012009
Effects of haptic and graphical force feedback on teleoperated palpation · ICRA 2009

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

user study · 0.1predicted-position control · 0.1position-exchange control · 0.1human-subject experiment · 0.1force estimation · 0.1
YearPublicationVenuePosition
2017 Personalized mitral valve closure computation and uncertainty analysis from 3D echocardiography
Sasa Grbic, Thomas F. Easley, Tommaso Mansi, Charles H. Bloodworth, Eric L. Pierce, Ingmar Voigt, Dominik Neumann, Julian Krebs, David D. Yuh, Morten O. Jensen, Dorin Comaniciu, Ajit P. Yoganathan
Medical Image Anal.9
2017 Towards patient-specific modeling of mitral valve repair: 3D transesophageal echocardiography-derived parameter estimation
Fan Zhang 0009, Jingjing Kanik, Tommaso Mansi, Ingmar Voigt, Razvan Ioan Ionasec, Lakshman Subrahmanyan, Ben A. Lin, Lissa Sugeng, David D. Yuh, Dorin Comaniciu, James S. Duncan
Medical Image Anal.10
2009 Design considerations and human-machine performance of moving virtual fixtures
abstract
Haptic virtual fixtures have been shown to improve user performance and increase the safety of robot-assisted tasks, particularly for surgical applications. However, little research has studied virtual fixtures that provide moving force constraints based on motion of the environment, e.g., organ movement due to heartbeat or respiration. This work discusses design considerations of moving forbidden-region virtual fixtures and presents two methods of implementation: predicted-position and current-position virtual fixtures. Human subject experiments were performed to determine the effectiveness of moving virtual fixtures when interacting with an object in motion using a teleoperator. Results show that moving virtual fixtures can help improve user precision and decrease the amount of force applied.
Tricia L. Gibo, Lawton N. Verner, David D. Yuh, Allison M. Okamura
ICRA3
2009 Effects of haptic and graphical force feedback on teleoperated palpation
abstract
Direct haptic feedback and graphical force feedback have both been hypothesized to improve the performance of robot-assisted surgery. In this study we evaluate the benefits of haptic and graphical force feedback on surgeon performance and tissue exploration behavior during a teleoperated palpation task of artificial tissues. Seven surgeon subjects (four experienced in robot-assisted surgery) used a 7-degree-of-freedom teleoperated surgical robot to identify a comparatively rigid rigid target object (representing a calcified artery) in phantom heart models using the following feedback conditions: (1) direct haptic and graphical feedback, (2) direct haptic only, (3) graphical feedback only, and (4) no feedback. To avoid the problems of force sensing in a minimally invasive surgical environment, we use a position-exchange controller with dynamics compensation for direct haptic feedback and a force estimator displayed via tool-tip tracking bar graph for graphical force feedback. Although the transparency of the system is limited with this approach, results show that direct haptic force feedback minimizes applied forces to the tissue, while coupled haptic and graphical force feedback minimizes subject task error. For experienced surgeons, haptic force feedback substantially reduced task error independent of graphical feedback.
James C. Gwilliam, Mohsen Mahvash, Balázs Vágvölgyi, Alexander Vacharat, David D. Yuh, Allison M. Okamura
ICRA5
2005 Automatic Detection and Segmentation of Robot-Assisted Surgical Motions
Henry C. Lin 0001, Izhak Shafran, Todd E. Murphy, Allison M. Okamura, David D. Yuh, Gregory D. Hager
MICCAI5