Tomohiko Mukai
Toyohashi University of Technology
27 Papers
47 Citations
Tomohiko Mukai is an academic researcher from Toyohashi University of Technology. The author has contributed to research in topics: Computer science & Motion capture. The author has an hindex of 8, co-authored 22 publications. Previous affiliations of Tomohiko Mukai include Tokai University.
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Papers
Geostatistical motion interpolation
Tomohiko Mukai,Shigeru Kuriyama +1 more
- 01 Jul 2005
TL;DR: This paper proposes a method that treats motion interpolations as statistical predictions of missing data in an arbitrarily definable parametric space and statistically optimizes interpolation kernels for given parameters at each frame, using a pose distance metric to efficiently analyze the correlation.
Psychological model for animating crowded pedestrians: Virtual Humans and Social Agents
TL;DR: A psychological model for simulating pedestrian behaviors in a crowded space that controls plausible avoidance behavior depending on the positional relations among surrounding persons on the basis of a two-stage personal space and a virtual memory structure as proposed in social psychology is proposed.
24
Motion rings for interactive gait synthesis
Tomohiko Mukai
- 18 Feb 2011
TL;DR: Although the system slightly sacrifices the physical correctness of the synthesized motion in order to quickly respond to user input, critical visual artifacts such as foot-skating and jerky movement are prevented and the efficiency and versatility of the character are improved.
21
Self-Training System for Tennis Shots with Motion Feature Assessment and Visualization
Masaki Oshita,Takumi Inao,Tomohiko Mukai,Shigeru Kuriyama +3 more
- 01 Oct 2018
TL;DR: A prototype self-training system for tennis forehand shots that allows trainees to practice their motion forms by themselves and develops a statistical model for the motion features, allowing the system to assess and prioritize all features of a trainee's motion.
18
Multilinear Motion Synthesis with Level-of-Detail Controls
Tomohiko Mukai,Shigeru Kuriyama +1 more
- 29 Oct 2007
TL;DR: In this article, the authors proposed a level-of-detail (LOD) control method of motion synthesis with a multilinear model, where a small number of principal components of motion samples were extracted by analyzing three-mode correlations among joints, time and samples using high-order singular value decomposition.