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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 31  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
ICTSSL 2020-07-16
13:50
Online Online
(Primary: Online, Secondary: On-site)
Time-Cost Analysis in a Unit Area Comparing among Methodologies for Recognition of Disaster Damage Situation
Munenari Inoguchi (Univ. of Toyama) ICTSSL2020-10
In order to realize effective disaster response, responders should develop and share the common operational picture incl... [more] ICTSSL2020-10
pp.11-16
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
ET 2019-03-15
15:15
Tokushima Naruto University of Education Research the period should be gave activity details of a supporting system for research activities
Shintaro Hiromura (Shinshu Univ.), Hisayoshi Kunimune (Chiba Inst. of Tech.), Masaaki Niimura (Shinshu Univ.) ET2018-104
We develop and operate a research activity support system to promote self-regulated research activities. This system man... [more] ET2018-104
pp.99-104
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
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
ET 2018-03-03
13:50
Kochi Kochi University of Technology (Eikokuji Campus) Improvement of a Function for Grasping Activities of a Supporting System for Self-Regulated Research Activities
Shintaro Hiromura (Shinshu Univ.), Hisayoshi Kunimune (Chiba Inst. of Tech.), Masaaki Niimura (Shinshu Univ.) ET2017-97
This laboratory develops and operates a research activity support system that incorporated self-regulated research activ... [more] ET2017-97
pp.47-52
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
HCGSYMPO
(2nd)
2016-12-07
- 2016-12-09
Kochi Kochi City Culture Plaza (CUL-PORT) Gaze Control and Manipulation of Goal-Directed Actions in 11-month- to 18-moth-old infants
Kazuhiro Abe, Kyohei Otsuka, Yoshimitsu Aoki, Yasuyo Minagawa (Keio Univ.)
Many studies have shown that people gaze at the goal area proactively for their hand in order to perform the goal-direct... [more]
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
MoNA, ASN, IPSJ-MBL, IPSJ-UBI
(Joint) [detail]
2015-03-02
10:20
Tokyo Shibaura Institute of Technology(Toyosu Campus) A Home Appliance Control System using Sensor Data on An Embedded Linux with Tweet Interaction
Youji Yonenaga, Kazuhiro Yoshizawa, Masataka Shinohara, Seiya Tajima, Ryoma Kondo, Hao Niu, Masayuki Iwai (TDU) ASN2014-158
In recent years, automatic home appliance control system named home automation has attracted much attention in the field... [more] ASN2014-158
pp.21-25
CNR 2014-12-04
15:45
Tokyo   Discoverying Appearance-based Grasp Structures with Wearable Cameras
Minjie Cai (Univ. of Tokyo), Kris M. Kitani (Carnegie Mellon Univ.), Yoichi Sato (Univ. of Tokyo) CNR2014-26
Our goal is to automatically recognize hand grasps and to discover the visual structures (relationships) between hand gr... [more] CNR2014-26
pp.49-54
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
ET 2014-03-08
10:05
Kochi Kochi National College of Technology A communication support tool for lecture with using network environment
Osamu Akizuki (Miyagi Univ.) ET2013-123
In traditional classes, teachers are required to advance the lesson with taking notice of students grasp. However it is ... [more] ET2013-123
pp.183-186
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
ET 2011-09-22
16:20
Yamaguchi   A lecture support system with using network environment
Masafumi Takeda, Osamu Akizuki (Miyagi Univ.) ET2011-46
In traditional classes, teachers are required to advance the lesson with taking notice of students grasp. However it is ... [more] ET2011-46
pp.59-63
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