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Quantification of Dance Movement by Simultaneous Measurement of Body Motion and Biophysical Information 被引量:1
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作者 Woong Choi Tadao Isaka +2 位作者 Mamiko Sakata Seiya Tsuruta kozaburo hachimura 《International Journal of Automation and computing》 EI 2007年第1期1-7,共7页
The purpose of this research is a quantitative analysis of movement patterns of dance, which cannot be analyzed with a motion capture system alone, using simultaneous measurement of body motion and biophysical informa... The purpose of this research is a quantitative analysis of movement patterns of dance, which cannot be analyzed with a motion capture system alone, using simultaneous measurement of body motion and biophysical information. In this research, two kinds of same leg movement are captured by simultaneous measurement; one is a leg movement with given strength, the other is a leg movement without strength on condition of basic experiment using optical motion capture and electromyography (EMG) equipment in order to quantitatively analyze characteristics of leg movement. Also, we measured the motion of the traditional Japanese dance using the constructed system. We can visualize leg movement of Japanese dance by displaying a 3D CG character animation with motion data and EMG data. In addition, we expect that our research will help dancers and researchers on dance through giving new information on dance movement which cannot be analyzed with only motion capture. 展开更多
关键词 Motion measurement electromyography (EMG) animation.
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PARTICLE-BASED TRANSPARENT FUSED VISUALIZATION APPLIED TO MEDICAL VOLUME DATA
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作者 KYOKO HASEGAWA SAORI OJIMA +3 位作者 YOSHIYUKI SHIMOKUBO SUSUMU NAKATA kozaburo hachimura SATOSHI TANAKA 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2013年第S01期104-114,共11页
This paper proposes a method to create 3D fusion images,such as volume–volume,volume–surface,and surface–surface fusion.Our method is based on the particle-based rendering,which uses tiny particles as rendering pri... This paper proposes a method to create 3D fusion images,such as volume–volume,volume–surface,and surface–surface fusion.Our method is based on the particle-based rendering,which uses tiny particles as rendering primitives.The method can create natural and comprehensible 3D fusion images simply by merging particles prepared for each element to be fused.Moreover,the method does not require particle sorting along the line of sight to realize right depth feel.We apply our method to realize comprehensible visualization of medical volume data. 展开更多
关键词 Particle-based rendering fused visualization stochastic particle generation.
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