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Youjiao Shi

dblp:132/0621 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

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

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

Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 77% Health and well-being technologies · 23%

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

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction
haptic rendering
0.212015
Interactive haptic simulation of tooth extraction by a constraint-based haptic rendering approach · ICRA 2015
Health and well-being technologies › medical simulation
dental training simulation
0.112015
Interactive haptic simulation of tooth extraction by a constraint-based haptic rendering approach · ICRA 2015

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

energy accumulation model · 0.2configuration-based optimization · 0.2
YearPublicationVenuePosition
2015 Interactive haptic simulation of tooth extraction by a constraint-based haptic rendering approach
abstract
Tooth extraction is a typical process in clinical dental operations. Interactive haptic simulation of tooth extraction may provide a useful tool for dental students to learn the correct force pattern and tool posture to accomplish a safe tooth extraction. In this paper, we extended our previous configuration-based optimization approach to simulate the six Degree-of-Freedom (DoF) haptic interaction process of tooth extraction. A multi-phase model was proposed to simulate progressive changes of the connection strength between the target tooth and its surrounding gingiva. An energy accumulation model was proposed to compute the small-scale rotation and translation of the target tooth under active forces from a dental forceps. The proposed approach could support training of coordinated force and motion control skill required for tooth extraction. Experimental results validated the stability and efficiency of the proposed approach to simulate various force-displacement profiles for extracting diversified target teeth.
Dangxiao Wang, Youjiao Shi
ICRA3
2013 The influence of handle-avatar mapping uncertainty on torque fidelity of 6-DOF haptic rendering
abstract
The handle-avatar mapping from the handle of a desktop haptic device (i.e., the handle) to the virtual tool (i.e., the avatar) is subject to several uncertainties, including uncertain held positions of the human hand, un-modeled hand position on the virtual tool, and difference between the shape of the virtual tool and that of the physical handle. The influence of these uncertainties on the force/torque fidelity of 6-DOF haptic rendering is analyzed in this paper. A model of force/torque error induced by these uncertainties is introduced to measure the influences under different contact scenarios. A method based on adding a handle-hand avatar to the virtual tool is proposed to reduce the uncertainties and thus to improve simulation fidelity. Psychophysical experiments were carried out. Experiment results show that the subjective feeling of the human operator is consistent with the theoretical analysis results. Most subjects can feel the increase on torque fidelity after using the proposed method.
Dangxiao Wang, Youjiao Shi, Jing Xiao 0001
World Haptics2