Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online |
Online |
First-person's view hand posture estimation and fingerspelling recognition using HoloLens Tomohito Fujimoto, Takayuki Kawamura, Keiichi Zempo, Sandra Puentes (Univ. of Tsukuba) |
In this study, we develop a first-person’s view Japanese finger spelling recognition system using an Optical See-Through... [more] |
|
HCGSYMPO (2nd) |
|
Mie |
Sinfonia Technology Hibiki Hall Ise |
An application of CNN to finger range images for numerical recognition Haruki Okada, Shigeru Akamatsu (Hosei Univ.) |
In this study, we investigated a recognition system of static finger numeric characters 0-9 through the depth image obta... [more] |
|
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 |
WIT, HI-SIGACI |
2017-12-07 14:25 |
Tokyo |
AIST Tokyo Waterfront |
A study on an indexing method of continuous JSL fingerspelling with moving action alphabets using motion features masaya kato, Masashi morimoto (AIT) WIT2017-60 |
The promotion of sign language is important for the communication with hearing-impaired people.Fingerspelling is one of ... [more] |
WIT2017-60 pp.115-120 |
WIT, ASJ-H |
2017-05-28 10:45 |
Tokyo |
RION Co., LTD. |
A study on JSL Finger Spelling Recognition Using Convolutional Neural Networks Shinji Sako, Hana Hosoe (NIT), Bogdan Kwolek (AGH Univ. of Technology) WIT2017-10 |
Recently, a few methods for recognition of hand postures on depth maps using convolutional neural networks were proposed... [more] |
WIT2017-10 pp.45-49 |
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 |
PRMU, CNR |
2014-02-14 16:40 |
Fukuoka |
|
Single Finger Character Recognition using Depth Image Kai Inoue, Tomoki Koyama, Takeshi Saitoh (Kyushu Inst. of Tech.) PRMU2013-167 CNR2013-75 |
Finger character (or finger spelling) is the visual language which made the hand shape correspond to a letter. A number ... [more] |
PRMU2013-167 CNR2013-75 pp.195-199 |
HCGSYMPO (2nd) |
2013-12-18 - 2013-12-20 |
Ehime |
Matsuyama Multi-Purpose Community Cente |
Improvement of Discrimination Process and User Interface in the Fingerspelling Training System Using Kinect Yoto Tanaka (NTUT), Daisuke Takabayashi (Univ. of Tsukuba), Masaki Kondo, Nobuko Kato (NTUT), Kazuhiro Fukui (Univ. of Tsukuba), Akio Okazaki (NTUT) |
Fingerspelling is one of useful communication methods for deaf and hard-of-hearing. We are developing a fingerspelling t... [more] |
|
HIP |
2013-03-14 10:40 |
Okinawa |
okinawa-sangyoushien center |
Training system for learning finger alphabets with feedback functions Daisuke Takabayashi, Yasuhiro Ohkawa (Univ. of Tsukuba), Kohei Setoyama, Yoto Tanaka, Nobuko Kato, Akio Okazaki (Tsukuba Univ. of Technology), Kazuhiro Fukui (Univ. of Tsukuba) HIP2012-90 |
We developed training system for learning finger spellings with feedback functions.
Our system can classify 41 kinds of... [more] |
HIP2012-90 pp.79-84 |
HCGSYMPO (2nd) |
2012-12-10 - 2012-12-12 |
Kumamoto |
Kumamoto-Shintoshin-plaza |
A Study on Non-contact Recognition of Fingerspelling with Hand Movements by Using Depth Image Taichi Miyake, Daisuke Wakatsuki, Ichiro Naito (NTUT) |
IT devices that can be operated easily in a speech input have been popularized by improvement of speech recognition and ... [more] |
|
WIT |
2012-03-09 10:00 |
Ibaraki |
|
On Visual Feedback in a Fingerspelling Training System using Image Recognition Kohei Setoyama (NTUT), Kentaro Taji, Yasuhiro Ohkawa (Univ. of Tsukuba), Nobuko Kato (NTUT), Kazuhiro Fukui (Univ. of Tsukuba), Akio Okazaki (NTUT) WIT2011-70 |
Fingerspelling is one of useful communication methods for deaf and hard-of-hearing people. Generally, beginners of finge... [more] |
WIT2011-70 pp.1-5 |
WIT |
2010-08-05 13:00 |
Tokyo |
NHK Sci. Tech. Res. Labs. |
Learning Using Synthetic Hand Images for Fingerspelling Recognition Kentaro Taji, Yasuhiro Ohkawa (Univ. of Tsukuba.), Nobuko Kato (Nat Univ Corp. Tsukuba Univ. of Tech.), Kazuhiro Fukui (Univ.Tsukuba) WIT2010-18 |
The communication with fingerspellings is an important mean for hearing impaired people. It consists of 46 kinds of hand... [more] |
WIT2010-18 pp.1-6 |