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Ryo Sugawara
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2020 – today
- 2024
- [c7]Ryo Sugawara, Naoya Koizumi:
A System for Mid-Air Images that Follow Real Objects. GCCE 2024: 1081-1082 - 2022
- [j2]Ryo Sugawara
, Shun Okuhara:
Group Work Using Active Learning: A Comparison of Students' Evaluations of Face-to-Face and Online Lessons. Int. J. Virtual Pers. Learn. Environ. 12(1): 1-15 (2022) - [j1]Jiawei Huang
Reconstruction of Dexterous 3D Motion Data From a Flexible Magnetic Sensor With Deep Learning and Structure-Aware Filtering. IEEE Trans. Vis. Comput. Graph. 28(6): 2400-2414 (2022) - 2020
- [c6]Ryo Sugawara, Shun Okuhara, Yuki Fukuyama
Exploratory Study on Correlations between Students' Characteristics and Effects in the Case of Online Learning on University Students. ICAIIC 2020: 720-722
2010 – 2019
- 2019
- [c5]Jiawei Huang, Ryo Sugawara, Taku Komura, Yoshifumi Kitamura
Random-Forest-Based Initializer for Real-time Optimization-based 3D Motion Tracking Problems. ICAT-EGVE 2019: 1-8 - [c4]Maria Mannone
CubeHarmonic: a new musical instrument based on Rubik's cube with embedded motion sensor. SIGGRAPH Posters 2019: 53:1-53:2 - [c3]Shunsuke Yoshida, Ryo Sugawara, Jiawei Huang, Yoshifumi Kitamura
Interacting with 3D Images on a Rear-projection Tabletop 3D Display Using Wireless Magnetic Markers and an Annular Coil Array. VR 2019: 1253-1254 - 2018
- [c2]Maria Mannone
CubeHarmonic: A New Interface from a Magnetic 3D Motion Tracking System to Music Performance. NIME 2018: 350-351 - [c1]Ryo Sugawara, Jiawei Huang, Kazuki Takashima, Taku Komura, Yoshifumi Kitamura:
Random-forest-based initializer for solving inverse problem in 3D motion tracking systems. VRST 2018: 116:1-116:2
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