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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, IT, RCS | 2024-01-19 14:55 |
Miyagi | (Primary: On-site, Secondary: Online) |
Dataset Generation System for Hand Gesture Recognition Using FMCW-MIMO Radar Katsuhisa Kashiwagi (Murata Manufacturing/Yokohama National Univ.), Koichi Ichige (Yokohama National Univ.)  IT2023-72 SIP2023-105 RCS2023-247 |
In this paper, we propose a dataset generation system for hand gesture recognition using Frequency Modulated Continuous ... [more] | IT2023-72 SIP2023-105 RCS2023-247 pp.229-234 |
| ICSS, IPSJ-SPT | 2023-03-13 12:30 |
Okinawa | Okinawaken Seinenkaikan (Primary: On-site, Secondary: Online) |
Developing a Hand Gesture Recognition System for VR Devices Mei Suzuki, Ryo Iijima, Kazuki Nomoto (Waseda Univ.), Tetsushi Ohki (Shizuoka Univ./AIP), Tatsuya Mori (Waseda Univ./NICT/AIP) ICSS2022-48 |
We develop a hand gesture recognition scheme using finger movements to recognize the VR user wearing a head-mounted disp... [more] | ICSS2022-48 pp.1-6 |
| HIP | 2019-12-20 11:15 |
Miyagi | RIEC, Tohoku University | On the effect of gestures on the memory of speech content Seiji Mio (Niigata Univ), Ryosuke Niimi (Niigata U) HIP2019-76 |
It has been claimed that gestures promote human speech understanding, while it is yet unclear to what extent gestures co... [more] | HIP2019-76 pp.61-64 |
| 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 |
| HCS | 2019-02-01 13:30 |
Niigata | Niigata Nippo Media Ship | Integrated Hand Gesture and Drawing Support Method for Remote Collaboration Shohei Yamada, Naiwala P. Chandrasiri (Kogakuin Univ.) HCS2018-48 |
The mainstream of instruction annotation method in current remote support systems is drawing using GUI, and it is widely... [more] | HCS2018-48 pp.7-12 |
| 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 |
|
| PRMU, IBISML, IPSJ-CVIM [detail] | 2018-09-21 10:10 |
Fukuoka | [Short Paper]
Kinect RGB-D Hand Gesture Image Database for Deep Learning-Based Gesture Recognition Jiaqing Liu, Kotaro Furusawa, Seiju Tsujinaga (Ritsu), Tomoko Tateyama (Hiroshima), Yutaro Iwamoto, YenWei Chen (Ritsu) PRMU2018-58 IBISML2018-35 |
We present a new dataset named the MaHG-RGBD, a multi-angle view hand gesture for deep learning-based gesture recognitio... [more] | PRMU2018-58 IBISML2018-35 pp.141-142 |
|
| 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 |
|
| MoNA, ASN, IPSJ-MBL, IPSJ-UBI [detail] | 2018-02-26 13:10 |
Tokyo | Sophia University | Evaluation of Hand Gesture Annotation in Remote Collaboration Using Mixed Reality Shohei Yamada, Naiwala P. Chandrasiri (Kogakuin Univ.) MoNA2017-63 |
In cases where it is difficult for local staff alone to deal with emergency problems at industrial facilities or constru... [more] | MoNA2017-63 pp.81-85 |
| EMM | 2018-01-30 10:25 |
Miyagi | Tohoku Univ. (Aobayama Campus) | An application of gesture detection system using acoustic waves on commodity PC Atsuhito Udo, Naofumi Aoki, Yoshinori Dobashi, Tsuyoshi Yamamoto (Hokkaido Univ.) EMM2017-73 |
The booming of consumer electronic devices led to hand gestures being focused on as a natural means of man-machine commu... [more] | EMM2017-73 pp.37-42 |
| 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 13:25 |
Aichi | Nagoya University | Extraction of Color Regions on a Color Glove Using Gaussian Mixture Model Estimation Noriaki Fujishima, Shun Nishikori (NIT, Matsue College) MBE2017-59 |
In this study, the authors have researched the extraction accuracy of color regions using Gaussian Mixture Model Estimat... [more] | MBE2017-59 pp.35-38 |
| 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 |
| SIS | 2017-12-15 14:00 |
Tottori | Tottori Prefectural Center for Lifelong Learning | A Study on Hand Gesture Recognition and Tracking using Random Forest and Median Flow Satoshi Murashige, Takanori Koga (NIT, Tokuyama Col.) SIS2017-56 |
Recently, many interactive art works have been produced using a projector-camera system. To exhibit table-top type works... [more] | SIS2017-56 pp.129-134 |
| EA, ASJ-H | 2017-07-21 13:40 |
Hokkaido | Hokkaido Univ. | [Poster Presentation]
A study on gesture detection system using ultrasonic waves on commodity PC Atsuhito Udo, Naofumi Aoki, Yoshinori Dobashi, Tsuyoshi Yamamoto (Hokkaido Univ.) EA2017-18 |
The booming of consumer electronic devices led to hand gestures being focused on as a natural means of man-machine commu... [more] | EA2017-18 pp.103-106 |
| SIS | 2017-06-01 15:00 |
Oita | Housen-Sou (Beppu) | A Fundamental Study on Hand Gesture Recognition in Infrared Image Using Co-occurrence Histograms of Oriented Gradients and Random Forests Satoshi Murashige, Takanori Koga (NIT, Tokuyama Col.) SIS2017-9 |
Recently, many interactive art works have been produced using a projector-camera system. In the case of using table-top ... [more] | SIS2017-9 pp.47-50 |
| HCS, HIP, HI-SIGCOASTER [detail] | 2017-05-17 10:45 |
Okinawa | Okinawa Industry Support Center | Effect of hand gestures on emotional evaluation of facial expressions Nobuyuki Watanabe, Itto Fukushima (KIT) HCS2017-30 HIP2017-30 |
(To be available after the conference date) [more] | HCS2017-30 HIP2017-30 pp.195-198 |
| 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 |
| MVE | 2016-10-14 12:05 |
Hokkaido | [Short Paper]
A study for hand gesture input and its sound feedback Xueshi Ma, Itaru Kitahara, Yoshinari Kameda (Univ. of Tsukuba) MVE2016-16 |
We have been studying the new user interface based on easy and robust hand gesture to obtain necessary information for v... [more] | MVE2016-16 pp.89-92 |
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