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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 32  /  [Next]  
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
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