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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 138  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
ET 2023-12-16
15:10
Okayama Tsushima Campus,Okayama University VR drum playing system oriented to support rhythm training
Satoru Todo, Masaru Okamoto, Yukihiro Matsubara, Kousuke Mouri (HCU)
(To be available after the conference date) [more]
HCGSYMPO
(2nd)
2023-12-11
- 2023-12-13
Fukuoka Asia pacific Import Mart (Kitakyushu)
(Primary: On-site, Secondary: Online)
(To be available after the conference date) [more]
HCGSYMPO
(2nd)
2023-12-11
- 2023-12-13
Fukuoka Asia pacific Import Mart (Kitakyushu)
(Primary: On-site, Secondary: Online)
Compact Emotional Space Simulating Human Percieve of Emotion Based on Crossmodal Contrastive Learning with Softlabel
Seiichi Harata, Takuto Sakuma, Shohei Kato (NITech)
(To be available after the conference date) [more]
HCGSYMPO
(2nd)
2023-12-11
- 2023-12-13
Fukuoka Asia pacific Import Mart (Kitakyushu)
(Primary: On-site, Secondary: Online)
Time series classification of cleaning task motion using acceleration and angular velocity.
Yuya Itagaki, Minami Ishihara, Yuukou Horita (Toyama Univ.)
(To be available after the conference date) [more]
SP, NLC, IPSJ-SLP, IPSJ-NL [detail] 2023-12-03
11:05
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
[Poster Presentation] Self-supervised learning model based emotion transfer and intensity control technology for expressive speech synthesis
Wei Li, Nobuaki Minematsu, Daisuke Saito (Univ. of Tokyo) NLC2023-21 SP2023-41
Emotion transfer techniques, which transfersba the speaking style from the reference speech to the target speech, are wi... [more] NLC2023-21 SP2023-41
pp.43-48
HCS 2023-08-25
16:20
Hyogo
(Primary: On-site, Secondary: Online)
Modeling of Expressed Emotions in Puzzle Tasks and Estimation of the Emotion based on Laban Movement Analysis
Akari Kubota, Sota Fujiwara (Kwansei Gakuin Univ.), Saizo Aoyagi (Komazawa Univ.), MIchiya Yamamoto (Kwansei Gakuin Univ.) HCS2023-48
Research to recognize and estimate human emotions using such as facial expressions has been vigorously conducted. By foc... [more] HCS2023-48
pp.29-34
IMQ, HIP 2023-07-28
15:30
Hokkaido Satellite Campus, Sapporo City University Investigation of the relationship between emotion estimation and human joint points based on a posture estimation model
Tosiki Honma, Kenta Niwa, Yuukou Horita (Univ of Toyama) IMQ2023-6 HIP2023-45
In order to consider urban happiness indices using area data, it is necessary to collect information on the conditions a... [more] IMQ2023-6 HIP2023-45
pp.15-20
MSS, CAS, SIP, VLD 2023-07-06
15:00
Hokkaido
(Primary: On-site, Secondary: Online)
Baby monitoring system using Magnification and Optical flow
Kazutaka Kikuta, Ken. T. Murata (NICT) CAS2023-9 VLD2023-9 SIP2023-25 MSS2023-9
We developed a baby monitoring system that combines advanced image processing technology and visual IoT technology. Sudd... [more] CAS2023-9 VLD2023-9 SIP2023-25 MSS2023-9
pp.43-46
MI 2023-07-03
10:30
Miyagi Tohoku Univ. Sakura Hall Multi-directional Motion Analysis of Diaphragm in Patients with Chronic Obstructive Pulmonary Disease
Xingyu Zhou (Chiba Univ.), Chen Ye (NJUPT), Takayuki Okamoto (Chiba Univ.), Yuma Iwao (QST), Naoko Kawata, Hideaki Haneishi (Chiba Univ.) MI2023-8
Chronic obstructive pulmonary disease (COPD) typically causes airflow blockage and breathing difficulty, with the abnorm... [more] MI2023-8
pp.3-8
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-16
14:25
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
Effects of real-time monitoring of self-action on casual joggers
Takeo Hamada (UTokyo) IMQ2022-54 IE2022-131 MVE2022-84
In motor learning, it is essential to grasp and appropriately control one's own movements accurately. The use of motion ... [more] IMQ2022-54 IE2022-131 MVE2022-84
pp.168-171
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-17
13:40
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Consideration on Improving Frame Prediction Accuracy Using GAN and PredNet
Naoko Imai, Shunichi Sekiguchi, Wataru Kameyama (Waseda Univ) IMQ2022-80 IE2022-157 MVE2022-110
We have been studying to apply PredNet, which is proposed to prove the predictive coding theory of human brain, to motio... [more] IMQ2022-80 IE2022-157 MVE2022-110
pp.309-314
NC, MBE
(Joint)
2023-03-15
13:50
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
Comparison of classification accuracy by frequency band restriction on emotion recognition from EEG
Raiki Yamane, Shin'ichiro Kanoh (SIT) NC2022-115
Accuracy of emotion classification in deep learning when frequency band restriction is used as a preprocessing method fo... [more] NC2022-115
pp.127-132
NC, MBE
(Joint)
2023-03-13
16:30
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
Emotion estimation by EEG using multidimensional directed coherence and machine learning
Haruka Torii, Takamasa Shimada (Tokyo Denki Univ.), Osamu Sakata (Tokyo Univ. of Science), Tadanori Fukami (Yamagata Univ.) MBE2022-60
In this study, we investigated a method of emotion estimation using EEG. Four kinds of emotions were induced by presenti... [more] MBE2022-60
pp.9-12
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
10:45
Hokkaido Hokkaido Univ. A Study of Estimating 3D Skeleton of a Human Full-Body Using Images Acquired by Omnidirectional Cameras Attached to the Human Body and Deep Learning
Yuta Arai, Jun Ohya (Waseda Univ.), Hiroyuki Ogata (Seikei Univ.), Seo Chanjin (Waseda Univ.) ITS2022-62 IE2022-79
In recent years, motion capture has been used for training in various sporting events. However, in sporting events invol... [more] ITS2022-62 IE2022-79
pp.112-117
IPSJ-SLDM, RECONF, VLD [detail] 2023-01-24
10:55
Kanagawa Raiosha, Hiyoshi Campus, Keio University
(Primary: On-site, Secondary: Online)
Study on Wireless Transmission Data Reduction Method and Its Implementation in Emotion Recognition System Using Electroencephalogram
Yuuki Harada, Daisuke Kanemoto, Tetsuya Hirose (Osaka Univ.) VLD2022-66 RECONF2022-89
Recently, there has been a great deal of research on emotion recognition and its application using electroencephalogram.... [more] VLD2022-66 RECONF2022-89
pp.40-44
SeMI, SeMI
(Joint)
2023-01-19
15:55
Tokushima Naruto grand hotel
(Primary: On-site, Secondary: Online)
[Short Paper] Hand Written Digit Recognition by Ensemble Learning using Leap Motion
Noriaki Kaneko, Masakatsu Ogawa (Sophia Univ.) SeMI2022-86
In recent years, contactless input technologies have been attracting attention due to the spread of the new coronavirus ... [more] SeMI2022-86
pp.61-64
HIP 2022-12-23
10:00
Miyagi Research Institute of Electrical Communication
(Primary: On-site, Secondary: Online)
Audiovisual correspondence and linguistic environment -- A comparison between Japanese and Mandarin speakers --
Kentaro Yamamoto, Yamei Zhang (Kyushu Univ.) HIP2022-66
In this study, we focused on the effect of changing pitch of sounds on the judgment of visual motion direction, and exam... [more] HIP2022-66
pp.44-47
PRMU 2022-12-15
14:10
Toyama Toyama International Conference Center
(Primary: On-site, Secondary: Online)
*
Yuki Taya, Rin Takano, Hiroyuki Oyama (NEC) PRMU2022-37
In order for a robot to perform a given task instruction, it is important for the robot to correctly recognize the targe... [more] PRMU2022-37
pp.29-33
HCGSYMPO
(2nd)
2022-12-14
- 2022-12-16
Kagawa Onsite (Sunport Takamatsu) and Online
(Primary: On-site, Secondary: Online)
Motion Classification of Cleaning Tasks by Machine Learning Using Short-Time Motion and Biometric Data
Yuya Itagaki, Kazuki Maeda, Yuya Okazaki, Yuko Horita (Univ of Toyama)
Moderate exercise is considered to be one of the most important factors for health promotion, and cleaning work is attra... [more]
HCGSYMPO
(2nd)
2022-12-14
- 2022-12-16
Kagawa Onsite (Sunport Takamatsu) and Online
(Primary: On-site, Secondary: Online)
Estimating emotional intensity in time series using speech sound features
Megumi Kawase, Minoru Nakayama (Tokyo Tech)
In order to estimate the emotion of speech utterances, deep learning models using speech features have only been able to... [more]
 Results 1 - 20 of 138  /  [Next]  
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