Doo Young Kwon

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We present a new framework to build motion training systems using machine learning techniques. The goal of our approach is the design of a training method based on the combination of body and visual sensors. We introduce the concept of a Motion Chunk to analyze human motion and construct a motion data model in real-time. The system provides motion detection(More)
We present an interactive system called ArchiDNA for creating 2D and 3D conceptual drawings in architectural design. We developed a novel principle of shape generation called match-and-attach by analyzing drawing styles of a contemporary architect, Peter Eisenman. The process consists of user interaction techniques and a set of rules that decide how one or(More)
We present a framework for 3D spatial gesture design and modeling. A wearable input device that facilitates the use of visual sensors and body sensors is proposed for gesture acquisition. We adapted two different pattern matching techniques, Dynamic Time Warping (DTW) and Hidden Markov Models (HMMs), to support the registration and evaluation of 3D spatial(More)
In this poster, we propose a creative drawing system called the VIP (Visual Imagination Puzzle). The VIP enables users to visually think their own concrete image from the abstract image and to draw the emergent shapes in different layers. The VIP supports a collaborative work by allowing two or more users to think and draw together. Using the VIP, users can(More)
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