Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MBE, IEE-MBE |
2023-06-16 16:50 |
Hokkaido |
Hokkaido University (Primary: On-site, Secondary: Online) |
Artifact Reduction in the EEG Grasping-Type Discrimination Task using Independent Component Analysis (ICA) method Phan Hoang Huu Duc, Masayuki Fujiwara, Kosei Shibata, Hiroaki Wagatsuma (LSSE, Kyushu Institute of Technology) MBE2023-15 |
This study examined the artifactual components rejection of Independent Component Analysis (ICA) in Electroencephalogram... [more] |
MBE2023-15 pp.28-33 |
MBE, IEE-MBE |
2023-06-16 17:15 |
Hokkaido |
Hokkaido University (Primary: On-site, Secondary: Online) |
ERD/ERS Analyses of Effects on the Movement Onset Definition in the EEG Grasping-Type Discrimination Task Kosei Shibata, Masayuki Fujiwara, Phan Hoang Huu Duc, Hiroaki Wagatsuma (LSSE, Kyushu Institute of Technology) MBE2023-16 |
In this study, we developed an ERD/ERS analysis system that allows the selection of onset timing using motion capture an... [more] |
MBE2023-16 pp.34-39 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-17 14:50 |
Okinawa |
Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
Proposal of a scroll-type shape presenting device for various object grasping in VR space Hiroki Ota, Daiki Hagimori, Monica Perusquia Hernandez, Naoya Isoyama, Hideaki Uchiyama, Kiyoshi Kiyokawa (NAIST) IMQ2022-87 IE2022-164 MVE2022-117 |
We propose Hap'n'Roll, which is a shape presentation device corresponding to facing grasp and grip. Hap'n'Roll is capabl... [more] |
IMQ2022-87 IE2022-164 MVE2022-117 pp.351-356 |
NC, MBE (Joint) |
2023-03-14 14:20 |
Tokyo |
The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Verification of Grasping Movement Distinction Accuracy of Myoelectric Prosthetic Hand System using Image Recognition Yuto Araki, Motoi Matsuda, Naohiro Fukumura (Toyohashi Univ. of Tech.) NC2022-104 |
Pattern recognition techniques using EMG have been actively studied. To use for prosthetics hand, EMG signal during the ... [more] |
NC2022-104 pp.72-77 |
WIT, IPSJ-AAC |
2022-03-09 14:15 |
Online |
Online |
Development of Handrim Grasping Motion Assistance System for Wheelchair Users Takumi Ueno, Hirokazu Seki (CIT) WIT2021-56 |
In this study, we developed a wheelchair Handrim grasping assist system for people with spasticity in the fingers. We de... [more] |
WIT2021-56 pp.77-81 |
NC, NLP (Joint) |
2021-01-22 10:05 |
Online |
Online |
Verification of a Visuomotor Integration Model for Grasping the Cups of Different Sizes with a Multi-Fingered Robot Hand Motoi Matsuda, Naohiro Fukumura (Toyohashi Univ. of Tech) NC2020-36 |
Object recognition and object grasping using image recognition methods have been actively researched, but most of them c... [more] |
NC2020-36 pp.24-28 |
MBE, NC (Joint) |
2020-12-18 16:05 |
Online |
Online |
Analysis of the finger joint coordination in reach and grasp movements with obstacle avoidance. Shuhei Horoiwa, Naohiro Fukumura (Toyohashi Univ. of Tech.) NC2020-31 |
Human fingers have many joint angles, and therefore, human properly coordinates the joints to correspond to various obje... [more] |
NC2020-31 pp.19-24 |
PRMU |
2020-12-18 16:30 |
Online |
Online |
Estimating 3D regions for grasping an object Atsuki Tsukamoto, Kiyoshi Kogure (KIT) PRMU2020-65 |
This paper proposes a method for estimating 3D regions for object grasping. The method takes as its inputs two RGB image... [more] |
PRMU2020-65 pp.156-160 |
HIP |
2019-08-21 11:50 |
Tokyo |
Tokyo Woman's Christian University |
Kinematic analyses of reach-to-grasp movements in a virtual environment Tomoka Matsumura, Yoshihiro Itaguchi (Shizuoka Univ.) HIP2019-46 |
(To be available after the conference date) [more] |
HIP2019-46 pp.63-67 |
BioX, ITE-ME, ITE-IST [detail] |
2019-06-07 13:30 |
Ishikawa |
Kanazawa University |
Verification of Residual Fingerprint in Grasping and Proposal on Use of Less Residual Finger Parts for Authentication Nobuyuki Nishiuchi, Yukino Kitaguchi (TMU) BioX2019-2 |
Fingerprint authentication is used in various situations, and is currently the leading method in biometrics. However, du... [more] |
BioX2019-2 pp.51-53 |
PRMU, IPSJ-CVIM |
2019-05-30 10:50 |
Tokyo |
|
Estimating areas in images for grasping an object by a three-fingered robot hand Atsuki Tsukamoto, Ryosuke Kubota, Kiyoshi Kogure (KIT) PRMU2019-4 |
This paper proposes a method for estimation areas for grasping an object by a three-fingered robot hand. The method take... [more] |
PRMU2019-4 pp.19-24 |
NC, MBE (Joint) |
2019-03-04 16:10 |
Tokyo |
University of Electro Communications |
Relational analysis on contact force of multiple fingers during grasping object Hideki Shimobayashi, Megumi Nakao, Tetsuya Matsuda (Kyoto Univ.) MBE2018-92 |
Among human-object interactions, it is important to understand how to grasp objects by human hand. Many researchers trie... [more] |
MBE2018-92 pp.37-42 |
PRMU, MVE, IPSJ-CVIM [detail] |
2019-01-17 17:00 |
Kyoto |
|
Recalling candidates of gripping hand shapes from an object image using neural network Makoto Sanada, Tadashi Matsuo, Nobutaka Shimada, Yoshiaki Shirai (Ritsumeikan Univ.) PRMU2018-103 MVE2018-45 |
Robots are required to support people’s work. In order to alleviate the burden on people, it is desirable that robot can... [more] |
PRMU2018-103 MVE2018-45 pp.51-55 |
MBE, NC (Joint) |
2018-03-14 13:10 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Analysis of joint synergy during reach-to-grasp movement using motion capture Takeshi Dodo, Naohiro Fukumura (Toyohashi Univ of Tech) NC2017-92 |
Human hands utilize redundant degrees of freedom, and enable skillful motion such as grasping and manipulating objects. ... [more] |
NC2017-92 pp.145-150 |
OFT |
2017-05-26 10:20 |
Shimane |
Shimane Univ. (Matsue campus) |
Optical fiber line testing system technologies for various optical cable networks Tetsuya Iwadou, Yoshitaka Enomoto, Yoshiyuki Kajihara, Jun Onishi (NTT) OFT2017-20 |
Optical fiber line testing systems have contributed to optical cable networks construction, service activation, failure ... [more] |
OFT2017-20 pp.89-93 |
PRMU, CNR |
2017-02-19 09:30 |
Hokkaido |
|
3D Generic Object Recognition based on Score Level Fusion via Superquadric Representation Ryo Hachiuma, Yuko Ozasa, Hideo Saito (Keio Univ.) PRMU2016-175 CNR2016-42 |
Our goal is to recognize 3d generic objects and estimate object's shape for object grasping simultaneously.
In this pap... [more] |
PRMU2016-175 CNR2016-42 pp.131-136 |
MBE, NC (Joint) |
2016-12-07 16:20 |
Aichi |
Toyohashi University of Technology |
A study on the joint coordination in reaching and grasping movements using the UCM analysis Takeshi Dodo, Naohiro Fukumura (Toyohashi Univ. of Tec) NC2016-46 |
A human hand has many joints, and various tasks are achieved by the joint synergy. The joint synergy is quantitatively e... [more] |
NC2016-46 pp.37-42 |
HIP |
2014-03-18 11:35 |
Tokyo |
Tokyo Univ. |
An Extraction of Muscle Synergies in the Grasping Task by the Integration of Hand Shape Information and EMG Signal Katsunari Masuzaki, Naohiro Fukumura (Toyohashi Univ. of Tech.) HIP2013-82 |
Since a human has a large number of muscles, it is thought that controlling the enormous degrees of freedom is difficult... [more] |
HIP2013-82 pp.17-22 |
HIP |
2014-03-19 14:35 |
Tokyo |
Tokyo Univ. |
Presentation of haptic sensation to the contralateral hand Fumiya Kurogi, Koichi Hirota (Univ. of Tokyo) HIP2013-100 |
When Object Manipulation is implemented in VR, Haptic Feedback is one of the most important factors. Some researches try... [more] |
HIP2013-100 pp.113-116 |
WIT |
2013-10-26 14:15 |
Kagoshima |
|
Grip force feedback control using electrical stimulation Hikari Shimabuku, Masuhiro Nitta, Yoshihiko Tagawa (Kyushu Inst. of Tech.) WIT2013-46 |
Limb paralysis is caused by cerebrovascular disease and/or spinal cord injury. It becomes an impediment in daily life an... [more] |
WIT2013-46 pp.17-21 |