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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 18 of 18  /   
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]
IMQ, IE, MVE, CQ
(Joint) [detail]
2019-03-14
09:30
Kagoshima Kagoshima University Telepresence Systems of 3D Models and Toy Robots with Finger Play and Hand Shadow
Amato Tsuji, Keita Ushida, Qiu Chen (Kogakuin Univ.) IMQ2018-23 IE2018-107 MVE2018-54
The authors have proposed methods of manipulating 3D models and toy robots with finger play and hand shadow. In this pap... [more] IMQ2018-23 IE2018-107 MVE2018-54
pp.1-6
NC, MBE
(Joint)
2018-12-15
10:25
Aichi Nagoya Institute of Technology Identification of grasping and extending motion with input of surface EMG signal of hand intrinsic muscles
Ryuichi Arako, Ayumu Tsuboi, Mamoru Hirota, Masayuki Yokoyama, Masao Yanagisawa (Waseda Univ.) MBE2018-51
The hand and finger motions are achieved by the cooperative action of the forearm which includes extrinsic muscles, and ... [more] MBE2018-51
pp.5-9
MVE 2018-10-25
10:00
Hokkaido   Manipulation toy robots with finger play and hand shadow and its demonstration/evaluation
Amato Tsuji, Keita Ushida, Qiu Chen (Kogakuin Univ.) MVE2018-25
The authors propose a platform manipulating a toy robot in real time with finger play and hand shadow.
The platform mea... [more]
MVE2018-25
pp.1-6
MVE, ITE-HI 2018-06-15
16:40
Tokyo   Manipulating 3D-models Using Hand Gesture of Finger Plays
Amato Tsuji, Keita Ushida, Qiu Chen (Kogakuin Univ.) MVE2018-1
The authors propose a method to manipulate 3D-models with motions of hand shadow and finger play.
Users are able to man... [more]
MVE2018-1
pp.15-20
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
09:00
Okinawa   [Poster Presentation] Consideration on Fingertip Gesture Input System for Wearable Devices with Head Movements
Ayaka Mineo, Tomoki Tanaka, Yoshihiro Yamashita, Takao Nishitani, Kiyoshi Nishikawa (Tokyo Metropolitan Univ.) EA2017-154 SIP2017-163 SP2017-137
We consider a detection method which is robust against head shake for gesture input systems with wearable terminals equi... [more] EA2017-154 SIP2017-163 SP2017-137
pp.287-290
WIT, IPSJ-AAC 2018-03-10
14:55
Ibaraki Tsukuba University of Technology A Trial of Simple "Finger Pointing and Calling" Evaluation System for Nurses
Akira Urashima, Tomoki Maekawa, Tomohiro Shirai, Tomoji Toriyama (Toyama Pref. Univ.), Mitsuko Nakagawa, Junich Oshima (Toyama Pref. Rehab. Hosp.) WIT2017-88
Recently, “Finger Pointing and Calling”, which is the action for error prevention widely used in Japanese industry, is ... [more] WIT2017-88
pp.181-186
MBE, NC, NLP
(Joint)
2018-01-27
14:25
Fukuoka Kyushu Institute of Technology Evaluation of Generalization Performance of Finger Motion Classifier with input of surface EMG signal of hand intrinsic muscles
Junki Sato, Ayumu Tsuboi, Hirota Mamoru, Masayuki Yokoyama, Masao Yanagisawa (Waseda Univ.) MBE2017-78
The hand and finger motions are achieved by the cooperative action of the forearm which includes extrinsic muscles, and ... [more] MBE2017-78
pp.65-70
MBE, NC
(Joint)
2017-12-16
13:50
Aichi Nagoya University Development of a Glove Type User Interface with Input of Surface EMG Signals of Hand Intrinsic Muscles
Ayumu Tsuboi, Junki Sato, Mamoru Hirota, Masayuki Yokoyama, Masao Yanagisawa (Waseda Univ.) MBE2017-60
The hand and finger motions are achieved by the cooperative action of the forearm which includes extrinsic muscles, and ... [more] MBE2017-60
pp.39-44
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
COMP, ISEC 2016-12-22
16:00
Hiroshima Hiroshima University Improvement of Finger Outlines Extraction in Hand Images Including Unusual Patterns with a Color Glove
Kotaro Moriuchi, Noriaki Fujishima (NIT, Matsue College) ISEC2016-88 COMP2016-49
In this study, the authors have investigated problems which cause mistakes when finger outlines are extracted using palm... [more] ISEC2016-88 COMP2016-49
pp.87-91
PRMU, SP, WIT, ASJ-H 2016-06-14
14:45
Tokyo   A Prototype System of Simple "Finger Pointing and Calling" Evaluation for Nurses
Akira Urashima, Tomoji Toriyama (Toyama Pref. Univ.), Mitsuko Nakagawa, Junichi Oshima (Toyama Pref. Rehab. Hosp.) PRMU2016-50 SP2016-16 WIT2016-16
“Finger Pointing and Calling” is widely used in Japanese industry, and it is recognized that it has the effect of human ... [more] PRMU2016-50 SP2016-16 WIT2016-16
pp.87-91
WIT 2015-10-26
10:55
Yamaguchi Kawatana Grand Hotel A study of automatic evaluation method for nurse's finger pointing and calling
Akira Urashim, Tomoji Toriyama, Masaki Nakamura (Toyama Pref. Univ.), Mitsuko Nakagawa, Junichi Oshima (Koshi Rehabilitation Hospital), Tadao Nomura (Kinjo University) WIT2015-62
As a method of preventing human error in hospital nursing duties, it is performed to include finger pointing and calling... [more] WIT2015-62
pp.59-64
CPSY 2014-10-10
10:55
Chiba Meeting Room 303, International Conference Hall, Makuhari-Messe UI improvements by a cursor prediction drawing in AirTarget System
Takafumi Nakajima, Kohei Chikama, Hiroshi Iwasaki, Masato Yoshimi, Hidetsugu Irie, Tsutomu Yoshinaga (UEC) CPSY2014-48
The system called ``AirTarget'' that we are developing is an user interface that enables gesture input by image analysis... [more] CPSY2014-48
pp.7-12
CPSY 2013-10-03
15:05
Chiba Makuhari Messe Intuitive Gesture UIs for Optical See-Through HMDs
Hiroshi Iwasaki, Kohei Chikama, Mitsutaka Morita, Masato Yoshimi, Hidetsugu Irie, Tsutomu Yoshinaga (Univ. of Electro-Comm.) CPSY2013-38
In this study, we exmine the intuitive gesture UIs for optical see-through HMDs. To operate easily with a fingertip appl... [more] CPSY2013-38
pp.41-46
EA 2012-10-27
14:15
Toyama USHIDAKE resort (Toyama) [Poster Presentation] Improvement of touch panel operation with auditory display for the visually impaired
Tatsuo Nishizawa (Shinshu Univ./Shinano Kenshi), Hiroto Inoue, Makoto Otani, Masami Hashimoto, Mizue Kayama, Kazunori Itoh (Shinshu Univ.) EA2012-74
Touch panel interface is expanding its application rapidly, since GUI allows direct manipulation and easy interaction fo... [more] EA2012-74
pp.55-60
EID, ITE-IDY, ITE-HI, ITE-3DMT, IEE-OQD, LSJ [detail] 2010-10-18
16:00
Tokyo Kikai-Shinko-Kaikan Bldg. Extraction of finger nails from skin area in hand image
Shigeyuki Komi, Noriaki Fujishima, Kiyoshi Hoshino (Univ. of Tsukuba)
A gesture interface system will practically be useful if finger-nail positions can be extracted from skin area in a hand... [more]
PRMU 2009-11-27
13:00
Ishikawa Ishikawa Industrial Promotion Center Finger Recognition using Particle Filter and Minimum Classification Error Training
Kosuke Kiyota, Shigeru Katagiri (Doshisha Univ.), Hideyuki Watanabe (NICT), Miho Ohsaki (Doshisha Univ.) PRMU2009-125
This paper proposes a new method for recognizing a finger used as a pointer to operate a remote collaboration assistant ... [more] PRMU2009-125
pp.235-240
 Results 1 - 18 of 18  /   
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