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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
- 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]

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
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
WIT, HI-SIGACI 2017-12-07
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
WIT, ASJ-H 2017-05-28
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
WIT 2015-03-13
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
PRMU, CNR 2014-02-14
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
- 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
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]
- 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
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
WIT 2010-08-05
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
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