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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 153 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
HCGSYMPO
(2nd)
2019-12-11
- 2019-12-13
Hiroshima Hiroshima-ken Joho Plaza (Hiroshima) Identification of a Learning State Using Face Information from Kinect
Takashi Ito (Aoyama Gakuin Univ.), Hikari Fukai, Kenichi Takahashi, Tomoko Kajiyama (Hiroshima City Univ.)
In actual classes, it is very important for teachers to grasp learning states of students. However, it is difficult to m... [more]
PRMU 2019-10-18
15:05
Tokyo   Study of Recognizing Road Surface Conditions using Deep Learning Applied for RGBD images Obtained from an Environmental Monitoring Robot -- Comparative Studies of SegNet-Basic and ENet as well as Height and Surface Curvature Features --
Takuya Hayashi, Takeo Kaneko, Junya Morimoto (Waseda Univ.), Junji Yamato (Kogakuin Univ.), Hiroyuki Ishii, Jun Ohya, Atsuo Takanishi (Waseda Univ.) PRMU2019-39
An environmental monitoring robot that moves safely and autonomously needs a function to recognize the state of the grou... [more] PRMU2019-39
pp.41-46
ET 2019-07-06
10:35
Iwate Iwate Prefectural University Exploring the Possibility of Applying Expansion Scheme for Profile Face Detection
Min Zou (Iwate Univ.), Mengbo You (NWAFU), Takuya Akashi (Iwate Univ.) ET2019-16
%% v3.1 [2018/04/18]
%documentclass[Proof,technicalreport]{ieicej}
documentclass[technicalreport]{ieicej}
usepackage{... [more]
ET2019-16
pp.7-10
IBISML 2019-03-06
13:30
Tokyo RIKEN AIP Acceleration of Boosting Discriminators Using Region Partition Learning and Its Application to Face Detectors
Takeshi Mori, Junichi Takeuchi, Masanori Kawakita (Kyushu Univ.) IBISML2018-115
We propose a method of acceleration of boosting discriminators.
Discriminant functions used for boosting are constructe... [more]
IBISML2018-115
pp.73-80
NC, MBE
(Joint)
2019-03-05
16:15
Tokyo University of Electro Communications Performance improvement of fNIRS-BCI using generative adversarial networks
Tomoyuki Nagasawa (Nagaoka Univ. of Tech.), Takanori Sato (National Inst. of Tech., Akita Col.), Isao Nambu, Yasuhiro Wada (Nagaoka Univ. of Tech.) NC2018-72
Since a lengthy functional near-infrared spectroscopy (fNIRS) measurement is uncomfortable for the participant, the numb... [more] NC2018-72
pp.151-156
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2019-02-20
11:00
Hokkaido Hokkaido Univ. A Note on Estimation of Rock Drilling Energy Using Tunnel Working Face Images
Kentaro Yamamoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
In tunnel construction, it is important to grasp the geological condition of the rock to shorten the construction period... [more]
NC, MBE
(Joint)
2018-12-15
10:50
Aichi Nagoya Institute of Technology Spatial frequency characteristics of convolutional neutral network trained for classifying facial expressions
Yusuke Komatsu, Mikio Inagaki, ChanSeok Lim (Osaka Univ), Takashi Shinozaki (NICT), Ichiro Fujita (Osaka Univ) NC2018-29
A previous experiment conducted in monkeys (Inagaki and Fujita, 2011) demonstrated that most face-responsive neurons in ... [more] NC2018-29
pp.5-10
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
HCGSYMPO
(2nd)

Mie Sinfonia Technology Hibiki Hall Ise Generation of 3D utterance expression face using shape difference information selected by facial shape classification among individuals
Isseki Miwa, Shigeru Akamatsu (Hosei Univ.)
In this study, we used Kinect V2 RGB-Depth sensor to measure three-dimensional shape of faces and calculated the informa... [more]
CS 2018-11-01
11:00
Ehime The Shiki Museum Emotion Extraction from Face Images and its Quantification/Visualization -- Experimental Evaluation in Music Concerts and Rakugo Performance --
Seima Todo, Tetsuo Tsujioka, Kazunobu Okazaki, Akihiro Odanaka (Osaka City Univ.) CS2018-63
Nowadays, machine learning, especially a deep learning technique for image classification, has been one of attractive re... [more] CS2018-63
pp.43-49
MBE 2018-06-22
13:25
Hokkaido   Analysis of electroencephalogram changes during voluntary hand and foot movement.
Sachiko Shiota, Yasunari Hashimoto (Kitami Inst. of. Tech.) MBE2018-14
INTRODUCTION: Recently, electroencephalographic (EEG) changes called event-related desynchronization (ERD) and event-rel... [more] MBE2018-14
pp.39-42
BioX, ITE-ME, ITE-IST 2018-05-24
15:15
Ishikawa Kanazawa Univ. Nishimachi Satelite Plaza Spoofing detection with a monocular camera based on flash reflection
Akinori Ebihara, Kazuyuki Sakurai, Hitoshi Imaoka (NEC) BioX2018-2
Facing the rising need for face authentication systems on a mobile phone, developing technologies to prevent spoofing at... [more] BioX2018-2
pp.15-19
HCS, HIP, HI-SIGCOASTER [detail] 2018-05-22
11:10
Okinawa Okinawa Industry Support Center Technology Trends on Sound Input and Output User Interface Based on Patent Application Analysis -- FY2017 Patent Application Technical Trends Surveys --
Daisuke Suzuki, Shiho Nagano, Kazushi Nomura, Toshinobu Kataoka (JPO) HCS2018-22 HIP2018-22
We surveyed the technology trends on sound input and output user interface based on patent applications and journal arti... [more] HCS2018-22 HIP2018-22
pp.149-152
MBE, NC
(Joint)
2018-03-14
10:50
Tokyo Kikai-Shinko-Kaikan Bldg. An examination about discrimination of imagined individual finger movements using EEG
Tetsuro Hayashi, Hiroshi Yokoyama, Carabez Eduardo, Isao Nambu, Yasuhiro Wada (NUT) MBE2017-102
The objective of this study is to examine the feasibility of finger discrimination using single-trial electroencephalogr... [more] MBE2017-102
pp.109-112
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-15
15:00
Hokkaido Hokkaido Univ. A Note on Classification of Tunnel Working Face Images toward Estimation of Rock Elastic Wave Velocity
Shota Hamano, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Comprehension of rock elastic wave velocity is one of the most important issues regarding appropriate construction of ro... [more]
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-16
09:30
Hokkaido Hokkaido Univ. Computing and Visualizing Image-level One-Order Facial Attribute Relations with Deep Features
Sijie Shen, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo) ITS2017-76 IE2017-108
Researches have shown that Multi-label classification performance could be improved by using spatial dependency and labe... [more] ITS2017-76 IE2017-108
pp.217-222
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
PRMU, MVE, IPSJ-CVIM [detail] 2018-01-18
11:50
Osaka   Discrimination of five-finger tapping operation by CNN for fingerless glove-type myoelectric interface
Mamoru Hirota, Junki Sato, Ayumu Tsuboi, Masayuki Yokoyama, Masao Yanagisawa (Waseda Univ) PRMU2017-125 MVE2017-46
In recent years, research on input interfaces that anticipate the spread of VR devices to various fields is widely condu... [more] PRMU2017-125 MVE2017-46
pp.111-116
HCGSYMPO
(2nd)
2017-12-13
- 2017-12-15
Ishikawa THE KANAZAWA THEATRE Evaluation of influence of the face from spatial frequency characteristics in facial images
Akihiro Tada, Aya Ibe (POLA R&M)
The shape of the face and characteristics of the skin surface are important when judging human facial attractiveness. Th... [more]
MVE 2017-10-19
11:10
Hokkaido KitamiInstitute of Technology Proposal of Ego-centric Video Multi-view Interface with Gazed Target-oriented Segmentation for Work Evaluation
Yuuki Umezawa, Takatsugu Hirayama, Yu Enokibori, Kenji Mase (Meidai) MVE2017-25
In many intellectual tasks, human physical and sensory skills are required and efficient transition of these skills to t... [more] MVE2017-25
pp.7-12
 Results 21 - 40 of 153 [Previous]  /  [Next]  
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