Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HI |
2024-03-19 09:20 |
Online |
|
Developed food appearance chaging system using a non-coaxial projection camera system that enables 3D tracking and verification of cross-modal effects Murata Motoki, Okajima Katsunori (YNU) |
Coaxial projector-camera systems are mainly used for dynamic projection mapping that can track three dimensions, but the... [more] |
HI2024-13 pp.5-6 |
HI |
2024-03-19 13:30 |
Online |
|
Real Image Substitution for Avatars in Virtual Space Communication Systems Ben Hhuang, Katsunori Okajima (YNU) |
[more] |
HI2024-22 pp.39-40 |
HI |
2024-03-19 14:10 |
Online |
|
Prediction and reproduction of the sensation of food penetration based on motion and audio information Shuma Shibasaki, Katsunori Okajima (YNU) |
The haptic parameters of a haptic feedback device (Phantom Premium 1.0) were used to reproduce the sensation of penetrat... [more] |
HI2024-24 pp.45-47 |
HI, VRPSY, JSKE |
2023-11-10 15:05 |
Wakayama |
Wakayama Big-ai, Room 801 |
Pseudo Stickiness Caused by Dynamic Visual Information Between Fingertips Naoya Motegi, Katsunori Okajima (YNU) |
Research on pseudo-haptics caused by modulating visual information has been actively conducted, but the types of tactile... [more] |
HI2023-20 pp.21-24 |
IEICE-OCS, IEICE-OFT, IEE-CMN, BCT [detail] |
2023-11-10 10:35 |
Kyoto |
(Primary: On-site, Secondary: Online) |
High-accuracy distributed strain sensing based on low-coherence BOCDR: simulation and experimental validation Kenta Otsubo, Guangtao Zhu, Takaki Kiyozumi (YNU), Hiroshi Takahashi (YNU/NTT), Yusuke Koshikiya (NTT), Yosuke Mizuno (YNU) |
As a principle of distributed measurement of strain and temperature along an optical fiber, the strain/temperature depen... [more] |
|
IEICE-OCS, IEICE-OFT, IEE-CMN, BCT [detail] |
2023-11-10 11:00 |
Kyoto |
(Primary: On-site, Secondary: Online) |
Ten-fold expansion of measurement range in OCDR utilizing temporal gating Mana Sakamoto, Tomoya Miyamae (YNU), Kohei Noda (UTokyo), Heeyoung Lee (SIT), Yosuke Mizuno (YNU) |
[more] |
|
BCT, IEICE-OCS, IEE-CMN, IEICE-OFT |
2022-11-11 10:10 |
Miyagi |
Forest-Sendai (Primary: On-site, Secondary: Online) |
Observation of Rayleigh scattering by simplified optical correlation-domain reflectometry Tomoya Miyamae, Guangtao Zhu, Takaki Kiyozumi (YNU), Kohei Noda (Tokyo Tech/YNU), Heeyoung Lee (SIT), Kentaro Nakamura (Tokyo Tech/YNU), Yosuke Mizuno (YNU) |
(Advance abstract in Japanese is available) [more] |
|
BCT, IEICE-OCS, IEE-CMN, IEICE-OFT |
2022-11-11 11:25 |
Miyagi |
Forest-Sendai (Primary: On-site, Secondary: Online) |
Proposal of double-slope-assisted BOCDR Yukihiro Suzuki, Haruki Sasage (SIT), Kohei Noda (YNU/Tokyo Tech), Kentaro Nakamura (Tokyo Tech), Yosuke Mizuno (YNU), Heeyoung Lee (SIT) |
(Advance abstract in Japanese is available) [more] |
|
HI |
2022-03-23 14:00 |
Online |
|
Impacts of race and mask on facial expression recognition Masahito Nagata, Katsunori Okajima (YNU) |
[more] |
HI2022-14 pp.21-24 |
HI, IEICE-HIP, ASJ-H, VRPSY [detail] |
2022-02-28 11:10 |
Online |
on line |
Effects of color attributes on visual texture perception of food Jiayun Chen, Katsunori Okajima (YNU) |
[more] |
|
IST |
2021-11-25 14:00 |
Online |
Online |
[Invited Talk]
Challenge toward silicon photonics on-chip FMCW LiDAR Toshihiko Baba (YNU) |
[more] |
IST2021-63 pp.9-14 |
BCT, IEICE-OFT, IEICE-OCS, IEE-CMN [detail] |
2021-11-19 10:50 |
Online |
online |
Super-simplified optical correlation-domain reflectometry Takaki Kiyozumi, Tomoya Miyamae (YNU), Kohei Noda (Tokyo Tech/YNU), Heeyoung Lee (SIT), Kentaro Nakamura (Tokyo Tech), Yosuke Mizuno (YNU) |
(Advance abstract in Japanese is available) [more] |
|
IEICE-SDM, IEICE-ICD, IST [detail] |
2021-08-17 13:10 |
Online |
Online |
[Invited Talk]
Real Haptics and Its Impact to Future Society Kouhei Ohnishi (Keio Univ.), Tomoyuki Shimono (YNU) |
Real Haptics is able to transmit the force/tactile sensation from the remote place to the local side. This means commun... [more] |
IST2021-42 pp.23-28 |
BCT, IEICE-OFT, IEICE-OCS, IEE-CMN [detail] |
2020-11-12 13:20 |
Online |
Online |
[Invited Talk]
Recent trends of slope-assisted BOCDR Heeyoung Lee (SIT), Kentaro Nakamura (Tokyo Tech), Yosuke Mizuno (YNU) |
(Advance abstract in Japanese is available) [more] |
|
IEICE-MRIS, MMS |
2019-07-19 16:35 |
Tokyo |
Kogakuin Univ. |
Structure of FePt Alloy Thin Films Formed on (001) Substrates Mitsuru Ohtake (YNU), Masaaki Futamoto (Chuo Univ.), Fumiyoshi Kirino (Tokyo Univ. Arts), Nobuyuki Inaba (Yamagata Univ.) |
[more] |
|
HI, VRPSY |
2017-11-25 10:10 |
Ishikawa |
Kanazawa Institute of Technology |
Influences of Conflicting Visual Information on Body Schema of Hands Hanxiao Li, Katsunori Okajima (YNU) |
We conducted experiments to confirm whether conflicting visual information modify the body schema where the visual movem... [more] |
HI2017-76 pp.35-38 |
ME, AIT, IEICE-IE [detail] |
2017-10-06 09:20 |
Nagasaki |
|
Compressive Sensing and Recovery of Binary Images Based on DCT Yusuke Zaitsu, Koichi Ichige (YNU) |
In this paper, we present a method of compressive sensing and recovery of binary images based on Discrete Cosine Transfo... [more] |
ME2017-111 AIT2017-170 pp.87-92 |
ME |
2017-02-18 11:15 |
Kanagawa |
Kanto Gakuin Univ. |
Accurate Feature Point Tracking using Local Invariant Features for Omnidirectional Image Sequence Hiroshi Tada, Koichi Ichige (YNU) |
In this paper, we propose a highly accurate feature point tracking method for omnidirectional image sequence. It is ofte... [more] |
ME2017-4 pp.13-16 |
ME |
2017-02-18 11:30 |
Kanagawa |
Kanto Gakuin Univ. |
Fast Video Background Extraction Based on Tensor Decomposition Tetsu Suzuki, Koichi Ichige (YNU) |
In this paper, we propose a method to reduce computation time in Background Subtraction from Compressive Measurements (B... [more] |
ME2017-5 pp.17-20 |
ME |
2017-02-18 14:15 |
Kanagawa |
Kanto Gakuin Univ. |
Accurate Speech Enhancement Method using Compressive Sensing with Variable Sparse Level Yusuke Zaitsu, Koichi Ichige (YNU) |
In this paper, we propose an accurate speech enhancement method using Compressive Sensing with Variable Sparse Level. Co... [more] |
ME2017-22 pp.81-84 |