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Sun-Uk Hwang

dblp:41/7945 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author

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 · 100%
Computer graphics and multimedia
1 paper
Geometric modeling and processing · 100%

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

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction
multimodal interaction
0.112010
Immersive modeling system (IMMS) for personal electronic products using a multi-modal interface · Comput. Aided Des. 2010
Geometric modeling and processing › computer-aided design
product modeling
0.012010
Immersive modeling system (IMMS) for personal electronic products using a multi-modal interface · Comput. Aided Des. 2010

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

multimodal interface · 0.2
YearPublicationVenuePosition
2010 Immersive modeling system (IMMS) for personal electronic products using a multi-modal interface
Yong-Gu Lee, Hyungjun Park, Woontack Woo, Jeha Ryu, Hong Kook Kim, Sung Wook Baik, Kwang Hee Ko, Han Kyun Choi, Sun-Uk Hwang, Duck Bong Kim, Hyun Soo Kim, Kwan H. Lee
Comput. Aided Des.9
2010 Adaptive haptic rendering for time-varying haptic and video frame rates in multi-modal interactions
abstract
Abstract In multi‐modal interactions including haptics, problems such as input sensor noise, temporal mismatch between graphics and haptics, and non‐constant refresh rates may cause non‐smooth force/torque display. This paper proposes temporal smoothing technique for haptic interaction using a sensing glove in multi‐modal applications. The proposed technique employs two processes: (1) a noise reduction method is applied to reduce jitter noise at the sensors in the sensing glove and (2) an adaptive force extrapolation is applied for time‐varying haptic and video frame rates. To demonstrate the performance of the proposed method, we developed a test platform to assess a simple box model and relatively complex models such as gamephone, portable media player (PMP). It was subsequently demonstrated that the proposed method can support smooth haptic interactions in multi‐modal applications where a haptic device and a sensing glove are used. Copyright © 2009 John Wiley & Sons, Ltd.
Sun-Uk Hwang, Beom-Chan Lee, Jeha Ryu, Kwan-Heng Lee, Yong-Gu Lee
Comput. Animat. Virtual Worlds1