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Hyunwoo Bang

dblp:52/9396 · 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

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.

Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 100%
Computer graphics and multimedia
1 paper
Visual content generation and editing · 100%

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

TopicWeightPapersLastEvidence papers
Interaction techniques and input › spatial interaction
3d interaction
0.212014
GaFinC: Gaze and Finger Control interface for 3D model manipulation in CAD application · Comput. Aided Des. 2014
Visual content generation and editing › 3d content editing
3d object manipulation
0.112014
GaFinC: Gaze and Finger Control interface for 3D model manipulation in CAD application · Comput. Aided Des. 2014
YearPublicationVenuePosition
2015 A Mouse With Two Optical Sensors That Eliminates Coordinate Disturbance During Skilled Strokes
abstract
The computer mouse is rarely used for drawing due to its body-fixed coordinate system, which creates a stroke that differs from the user’s original hand movement. In this study, we resolve this problem by implementing a new mouse called StereoMouse, which eliminates the rotational disturbance of the coordinate system in real-time. StereoMouse is a special mouse with two optical sensors, and its coordinate orientation at the beginning of a stroke is maintained throughout the movement by measuring and compensating for the angular deviation estimated from those sensors. The drawing performance of StereoMouse was measured by means of having users perform the task of repeatedly drawing a basic shape. The results of this experiment showed that StereoMouse eliminated the horizontal drift typically observed in a stroke drawn by a normal mouse. Consequently, StereoMouse allowed the users to draw shapes at a 10.6% faster mean speed with a 10.4% shorter travel time than a normal mouse would. Furthermore, StereoMouse showed 37.1% lower chance of making incorrect gesture input than the normal mouse.
Byungjoo Lee, Hyunwoo Bang
Hum. Comput. Interact.2
2014 GaFinC: Gaze and Finger Control interface for 3D model manipulation in CAD application
JunBong Song, Sungmin Cho, Stephen Baek, Kunwoo Lee, Hyunwoo Bang
Comput. Aided Des.5