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All Technical Committee Conferences (Searched in: All Years)
| 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, MBE (Joint) |
2023-03-14 14:45 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Feature Extraction of Grasped Objects for Precise Robot Hand Control using Depth Image Satoshi Katayama, Motoi Matsuda, Naohiro Fukumura (Toyohashi Univ. of Tech) NC2022-105 |
In recent years, development of robots to support people has been promoted. To control a multi-fingered hand robot for e... [more] | NC2022-105 pp.78-83 |
| HIP, VRSJ | 2021-02-18 13:00 |
Online | Online | Eye-movement analysis during tracing lines under limited visual field Tomoya Maruyama, Naohiro Fukumura (Toyohashi Univ. of Tech.) HIP2020-74 |
[more] | HIP2020-74 pp.12-17 |
| 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 |
| NC, MBE (Joint) |
2020-03-04 09:55 |
Tokyo | University of Electro Communications (Cancelled but technical report was issued) |
Inverted pendulum control with redundancy by freezing model using deep reinforcement learning Koki Hirakawa, Naohiro Fukumura (Toyohashi Univ. of Tech) NC2019-76 |
In recent years, various intelligent robots have been researched and developed, and multi-degree-of-freedom robots that ... [more] | NC2019-76 pp.3-8 |
| NC, MBE | 2019-12-06 09:45 |
Aichi | Toyohashi Tech | Relation of movement intermittency and eye-movement during drawing using Wavelet analysis Yamato Nagata, Naohiro Fukumura (Toyohashi Univ. of Tech.) MBE2019-45 NC2019-36 |
When performing a movement that moves the arm continuously, such as a manual tracking, discontinuous movement called “mo... [more] | MBE2019-45 NC2019-36 pp.1-5 |
| 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 |
| MBE, NC (Joint) |
2018-03-14 13:35 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Analysis of eye-hand coordination in tracing tasks based on saccade pattern. Shinnosuke Nakamura (Toyohashi Univ. of tech.), Emiko Shishido (Nagoya Univ./NIPS), Naohiro Fukumura (Toyohashi Univ. of tech.) NC2017-93 |
Gaze information is important when human draws lines accurately. On the other hand, in order to compensate feedback dela... [more] | NC2017-93 pp.151-156 |
| MBE, NC (Joint) |
2017-12-16 14:15 |
Aichi | Nagoya University | Learning of Auto-Encoder that acquires interpretable representations Shota Shirakawa, Naohiro Fukumura (Toyohashi Univ. of Tech.) NC2017-46 |
[more] | NC2017-46 pp.35-40 |
| MBE, NC (Joint) |
2017-03-14 10:50 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Effects of Muscle Synergy by the Motor Learning Simulation of a Human Arm Yasuhiro Tejima, Naohiro Fukumura (Toyohashi Univ. of Tech.) NC2016-76 |
[more] | NC2016-76 pp.73-78 |
| MBE, NC (Joint) |
2017-03-13 13:10 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Application of Forward-Propagation Learning Rule to Three-Layer Auto-Encoder Tadamasa Kurosawa, Naohiro Fukumura (Toyohashi Univ. of Tech) NC2016-82 |
By the development of Deep Learning, the concern over three-layer Auto-Encoder for Pre-training has risen. On the othe... [more] |
NC2016-82 pp.109-114 |
| MBE, NC (Joint) |
2016-12-07 14:45 |
Aichi | Toyohashi University of Technology | An analysis of saccade positions in tracing tasks. Shinnosuke Nakamura (Toyohashi Univ. of Tech), Norio Ozaki (Nagoya Univ.), Norihiro Sadato, Keiji Imoto (NIPS), Emiko Shishido (Nagoya Univ./NIPS), Naohiro Fukumura (Toyohashi Univ. of Tech) NC2016-43 |
In tracing tasks, gaze information is important to the human arm movement like a handwriting movement. Some studies show... [more] | NC2016-43 pp.19-24 |
| MBE, NC (Joint) |
2016-12-07 15:55 |
Aichi | Toyohashi University of Technology | A study of kinesthetic aftereffect in vertical jump after jumping on a trampoline Shun Miyauchi, Naohiro Fukumura (Toyohashi Univ. of Tec) NC2016-45 |
In the previous study, it has been reported that the performance of the vertical jump on level ground decreases after ju... [more] | NC2016-45 pp.31-36 |
| 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 | 2016-09-27 14:15 |
Nara | Usability evaluation for touch panel using eye tracking Koki Hirano, Naohiro Fukumura (Toyohashi Univ. of Tech.) HIP2016-44 |
[more] | HIP2016-44 pp.9-14 |
|
| NC, MBE | 2015-03-17 11:15 |
Tokyo | Tamagawa University | Feature extraction of eye-hand coordination in tracing tasks of calligraphers Kenshiro Yamasaki (Toyohashi Univ. of Tech.), Tatsuki Itoh, Yoshikuni Itoh, Shuntaro Okazaki, Norihiro Sadato (NIPS), Norio Ozaki (Nagoya Univ.), Keiji Imoto (NIPS), Emiko Shishido (Nagoya Univ./NIPS), Naohiro Fukumura (Toyohashi Univ. of Tech.) MBE2014-172 NC2014-123 |
In this study, subjects were asked to trace a line on a monitor screen, and the pen position was measured with transpare... [more] | MBE2014-172 NC2014-123 pp.313-318 |
| MBE, NC (Joint) |
2014-12-13 09:20 |
Aichi | Nagoya University | Eye-hand coordination in tracing tasks Kenshiro Yamasaki (Toyohashi Univ. of Tech.), Tatsuki Itoh, Yoshikuni Itoh, Shuntaro Okazaki, Norihiro Sadato (NIPS), Norio Ozaki (Nagoya Univ.), Keiji Imoto (NIPS), Emiko Shishido (Nagoya Univ./NIPS), Naohiro Fukumura (Toyohashi Univ. of Tech.) NC2014-45 |
We studied the eye-hand coordination in tracing tasks. Six people, two professional calligraphers and four with varied e... [more] | NC2014-45 pp.7-12 |
| MBE, NC (Joint) |
2014-12-13 09:40 |
Aichi | Nagoya University | Competitive Learning Model for Freezing using Multiple Control Modules Masato Waragai, Naohiro Fukumura (Toyohashi Univ. of Tech.) NC2014-46 |
A model to control degrees of freedom (DOF) using modular structure is proposed for a problem of redundant degrees of fr... [more] | NC2014-46 pp.13-18 |
| 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 |
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