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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 14 of 14  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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
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
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
ET 2018-03-03
12:50
Kochi Kochi University of Technology (Eikokuji Campus) A Proposal for a Method of Visualizing Learning Progress in Information Technology Exercise
Takashi Yokoyama (Shinshu Univ.), Hisayoshi Kunimune (Chiba Inst. of Tech.), Masaaki Niimura (Shinshu Univ.) ET2017-109
This report's objective is grasping to progress of a whole class and students who experience learning setbacks. We thoug... [more] ET2017-109
pp.119-124
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
PRMU 2013-02-21
14:00
Osaka   A grasping-support method based on computed visual-auditory feedback for visually impaired persons -- .* --
Fei Cheng, Michael Hild (Osaka Electro-Comm. Univ.) PRMU2012-143
We propose a system structure and a control algorithm for grasping target objects.
This system uses camera-based visua... [more]
PRMU2012-143
pp.79-84
EID, ITE-IDY, ITE-HI, ITE-3DMT, IEE-OQD, LSJ [detail] 2010-10-18
16:30
Tokyo Kikai-Shinko-Kaikan Bldg. Hand pose estimation for precise operation of a gesture-driven robot
Takuya Kasahara, Motomasa Tomida, Kiyoshi Hoshino (Univ. of Tsukuba)
Self-occlusions occur in 3D hand pose estimation with a single camera, which will cause improper behaviors in a robot ha... [more]
PRMU, SP, MVE, CQ 2010-01-21
09:30
Kyoto Kyoto Univ. Studying Signal Processing Methods for Estimating User's Cognitive States from Grasping Behavior
Kotaro Ogino (Nagoya Univ), Takatoshi Jitsuhiro (Aichi Univ. of Tech.), Chiyomi Miyajima, Kazuya Takeda (Nagoya Univ) CQ2009-57 PRMU2009-156 SP2009-97 MVE2009-79
We studied effect of user’s cognitive state on grasping behavior for recognizing user’s feelings. The grasping of a cup ... [more] CQ2009-57 PRMU2009-156 SP2009-97 MVE2009-79
pp.1-6
HIP 2009-06-15
10:00
Hokkaido Hokkaido University Estimation of hardness discriminability using a portable haptic device
Koichi Nakayama, Hiroshi Ando (NICT) HIP2009-48
Our research goal is to develop a new portable haptic device. We constructed a system that synchronizes three dimensiona... [more] HIP2009-48
pp.1-5
MVE, CQ
(Joint)
2009-01-15
15:00
Miyazaki Miyazaki Seagaia Resort Development and Psychological Evaluation of A Portable Haptic Device
Koichi Nakayama, Naomi Inoue (NICT/ATR) CQ2008-62 MVE2008-100
In this research, we are aiming at developing a portable haptic device that presents the feeling of hardness to bare fin... [more] CQ2008-62 MVE2008-100
pp.17-22(CQ), pp.23-28(MVE)
 Results 1 - 14 of 14  /   
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