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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| CQ, MIKA (Joint) (2nd) |
2023-08-30 15:00 |
Fukushima | Tenjin-Misaki Sports Park | [Poster Presentation]
Research and development of facial expression recognition and sign language translation system using machine learning in Python Kouta Iwata, Toshiya Arakawa (NIT) |
The population with hearing and speech impairments in Japan is approximately 340,000, and one of the main communication ... [more] | |
| 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 |
| 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 |
| WIT, SP | 2019-10-27 10:50 |
Kagoshima | Daiichi Institute of Technology | Mouth shape recognition for patient with intractable neurological diseases Yuya Nakamura, Takeshi Saitoh (Kyutech), Kazuyuki Itoh (NRCPD) SP2019-33 WIT2019-32 |
Patients with intractable neuropathy may use a mouth-shape character-based communication as an alternative to communicat... [more] | SP2019-33 WIT2019-32 pp.93-98 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2018-09-20 09:50 |
Fukuoka | A Study of Handwritten Chinese Character Recognition Method Based on Detection of The Curve Endpoints and Quadratic Curve Fitting Masato Suzuki, Daisuke Kitakoshi (Tokyo KOSEN) PRMU2018-44 IBISML2018-21 |
The local feature extraction used in general object recognition is one of the useful method to recognize the handwritte... [more] |
PRMU2018-44 IBISML2018-21 pp.55-60 |
|
| WIT, IPSJ-AAC | 2018-03-09 16:10 |
Ibaraki | Tsukuba University of Technology | Continuous Finger Spelling Recognition Using Kinect Based on Linguistic Information Kosuke Kazama, Yasuo Horiuchi (Chiba Univ.), Shimomoto Masayoshi (Mizuho IR), Shingo Kuroiwa (Chiba Univ.) WIT2017-74 |
In this paper, we will discuss a finger spelling recognition based on linguistic information, Generally, a finger spelli... [more] | WIT2017-74 pp.83-88 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2018-02-16 11:30 |
Hokkaido | Hokkaido Univ. | A Study of Handwritten Chinese Character Recognition Method Based on Feature Points Extraction Using Small Scale Space Masato Suzuki, Daisuke Kitakoshi (Tokyo Kosen) ITS2017-83 IE2017-115 |
Recognition method using local feature extraction is one of the famous strategies to general object recognition. By cons... [more] | ITS2017-83 IE2017-115 pp.257-260 |
| HCGSYMPO (2nd) |
2016-12-07 - 2016-12-09 |
Kochi | Kochi City Culture Plaza (CUL-PORT) | Sign Language Recognition Performance Improvements by Feature Elements of Hidden Markov Model Hirotoshi Shibata, Tatsunori Ozawa, Hiromitsu Nishimura, Hiroshi Tanaka (Kanagawa Institute of Technology), Daisuke Kobayashi, Michio Iwamoto, Syuji Kato (KCC corp.) |
The authors have been investigating method of sign language recognition using colored gloves and optical camera. We are ... [more] | |
| WIT | 2016-10-16 14:55 |
Saga | Karatsu Royal Hotel (Saga pref.) | Sign language recognition by convolutional neural network with concatenated sequence image of depth image Keisuke Hashimura, Takeshi Saitoh (kyutech) WIT2016-36 |
We proposed a concatenated frame image (CFI) that some sampled frame images from the scene are concatenated like a two-d... [more] | WIT2016-36 pp.17-22 |
| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 09:00 |
Toyama | Stroke-by-stroke Order Evaluation of Online Handwritten Kanji Characters using Directional Feature Kazuhiro Mita, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) PRMU2016-54 IBISML2016-9 |
This paper presents a stroke order evaluation method for online handwritten Kanji characters written on a tablet. Previo... [more] | PRMU2016-54 IBISML2016-9 pp.1-5 |
|
| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-06 09:00 |
Toyama | Finger shape recognition using shape subspaces Ryoma Yataka, Kazuhiro Fukui (Tsukuba Univ.) PRMU2016-75 IBISML2016-30 |
In this paper, we propose a framework to perform a finger shape recognition by using the 3D information of feature point... [more] | PRMU2016-75 IBISML2016-30 pp.167-172 |
|
| PRMU, SP, WIT, ASJ-H | 2016-06-13 10:00 |
Tokyo | Stroke-by-stroke Kanji Stroke Order Evaluation Using Shape Context Feature Kazuhiro Mita, Masaki Nakagawa (Tokyo Univ. of Agri. & Tech.) PRMU2016-37 SP2016-3 WIT2016-3 |
Learning of writing Kanji characters of Chinese origin is still one of the important subjects in elementary education. T... [more] | PRMU2016-37 SP2016-3 WIT2016-3 pp.13-18 |
|
| WIT | 2016-03-05 09:55 |
Ibaraki | Tusukuba Univ. of Tech.(Tsukuba) | Real-time Sign Language Recognition by Kinect v2 based on three Elements of Sign Language Mika Hatano, Shinji Sako, Tadashi Kitamura (NITech) WIT2015-99 |
Existing research of sign language recognition deals with only small vocabulary. Sign language has no basic database and... [more] | WIT2015-99 pp.59-64 |
| PRMU, CNR | 2016-02-22 11:30 |
Fukuoka | [Poster Presentation]
Investigation of Ridge Width and Intensity Shape in Ridge Features for Handwritten Character Recognition Shu Hasegawa, Michitaka Suzuki, Arata Tsukamoto, Akiyoshi Itoh (Nihon Univ) PRMU2015-153 CNR2015-54 |
The ridge feature has been reported to be effective for handwritten character recognition. The ridge feature intensity i... [more] | PRMU2015-153 CNR2015-54 pp.115-120 |
|
| WIT, SP, ASJ-H, PRMU | 2015-06-19 14:00 |
Niigata | Contour-based Hand Shape Recognition for Sign Language Recognition Mika Hatano, Shinji Sako, Tadashi Kitamura (NITech) PRMU2015-62 SP2015-31 WIT2015-31 |
We are trying to make a real-time Japanese sign language recognition system with abstraction of hand motion based on thr... [more] | PRMU2015-62 SP2015-31 WIT2015-31 pp.175-180 |
|
| PRMU, BioX | 2015-03-19 16:10 |
Kanagawa | Articulated pose estimation from ego-centric vision for action recognition Haruka Yonemoto, Kazuhiko Murasaki, Tatsuya Osawa, Kyoko Sudo, Jun Shimamura, Yukinobu Taniguchi (NTT) BioX2014-56 PRMU2014-176 |
In this paper, we present a novel method to estimate articulated human pose for ego-centric action recognition. Many re... [more] |
BioX2014-56 PRMU2014-176 pp.105-110 |
|
| WIT | 2015-03-13 11:20 |
Ibaraki | Kasuga Campus, Tsukuba University of Technology | Development and Evaluation of an Interactive Training System for Both Static and Dynamic Fingerspelling Using Depth Image Masaki Kondo, Nobuko Kato (Tsukuba Univ. of Tech.), Kazuhiro Fukui (Univ. of Tsukuba), Akio Okazaki (Tsukuba Univ. of Tech.) WIT2014-89 |
Fingerspelling is one of useful communication methods for deaf and hard of hearing. If the beginners of fingerspelling ... [more] | WIT2014-89 pp.23-28 |
| MBE | 2015-01-23 14:50 |
Kumamoto | Kumamoto University | Efficient Features for Sign Language Word Recognition using Kinect Tomoki Koyama, Takeshi Saitoh (Kyutech) MBE2014-115 |
The aim of our research is a development of the sign language recognition system for smooth communication between hearin... [more] | MBE2014-115 pp.117-120 |
| SIS | 2014-12-19 11:55 |
Kyoto | Kyoto Research Park (Kyoto City) | First-person view sign language recognition based on hand shape discrimination employing SIFT Yusuke Tajima, Hideaki Kawano, Hiroshi Maeda (KIT) SIS2014-85 |
Indeed a lot of studies have been reported on the sign language recognition system, but there are few studies suitable f... [more] | SIS2014-85 pp.103-108 |
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