Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AI |
2024-03-01 15:20 |
Aichi |
Room0221, Bldg.2-C, Nagoya Institute of Technology |
On Using Existing Facial Expression Recognition Model for Student Behavior Tracking Yuna Kaneko, Masato Kikuchi, Tadachika Ozono (NIT) AI2023-43 |
It is challenging for teachers to understand students' reactions during online lectures. Estimating student behaviors by... [more] |
AI2023-43 pp.37-40 |
ET |
2023-12-16 13:15 |
Okayama |
Tsushima Campus,Okayama University |
Recognition of student facial expressions and movements during class
-- Effects of recognition th rough generated images and frontalization frontalization -- Kazuo Ohzeki, Aki Saito Shiojiri, Koichi Kamijo, Masami Suzuki (IPUT) ET2023-39 |
Using cameras and electroencephalograms, we are conducting research to identify teacher actions to improve student conce... [more] |
ET2023-39 pp.19-23 |
HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka |
Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Analysis and Recognition of Gaze Functions Based on Multimodal Nonverbal Behaviors in Conversations Ayane Tashiro, Mai Imamura (YNU), Shiro Kumano (NTT), Kazuhiro Otsuka (YNU) |
This paper presents a framework for analyzing and recognizing gaze functions in group conversations. We first defined 43... [more] |
|
PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI |
2023-11-17 09:20 |
Tottori |
(Primary: On-site, Secondary: Online) |
Research on automatic different sign language conversion and CG presentation based on sign language video analysis Masamitsu Miyata, Masamitsu Nishi, Shinya Fukumoto, Masayuki Kashima, Mutsumi Watanabe (Kagoshima Univ.) PRMU2023-31 |
Sign languages vary from country to country, making it difficult for signers from different countries to communicate wit... [more] |
PRMU2023-31 pp.86-91 |
HCS, CNR |
2023-11-05 14:40 |
Tokyo |
Kogakuin University (Primary: On-site, Secondary: Online) |
Development of a human-friendly robot using a behavioral model based on emotion recognition Chika Kanesaki, Kenji Matsuzaka (NIT, UC) CNR2023-14 HCS2023-76 |
In smooth communication between humans, the recognition and understanding of nonverbal information caused by emotions is... [more] |
CNR2023-14 HCS2023-76 pp.38-44 |
HCS, CNR |
2023-11-06 15:30 |
Tokyo |
Kogakuin University (Primary: On-site, Secondary: Online) |
Effect of Assertive Feedback from a Job Interview Training Agent Nao Takeuchi, Tomoko Koda (OIT), Miho Hotta (KINDAI) CNR2023-25 HCS2023-87 |
In this study, we developed an interview training system in which a virtual agent provides feedback on improvements in i... [more] |
CNR2023-25 HCS2023-87 pp.96-101 |
BioX |
2023-10-12 15:45 |
Okinawa |
Nobumoto Ohama Memorial Hall |
A Study on Personal Identification System Based on Features Extracted from Joint Movement of Everyday Actions Michiya Ishimoto, Bo Wu, Kiminori Sato (TUT) BioX2023-61 |
Purpose of this research is to develop a personal identification system which uses features extracted from everyday acti... [more] |
BioX2023-61 pp.16-20 |
RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-15 09:25 |
Online |
Online |
Development and Evaluation of a Smart Tap Sensor Network for Observing Household Behavior Ryuichi Inoue, Hiroshi Yamamoto (Ritsumeikan Univ.) NS2021-41 |
In recent years, the devices targeting the smart home have rapidly been spreading and have been expected to be applied t... [more] |
NS2021-41 pp.45-50 |
HCS, HIP, HI-SIGCOASTER [detail] |
2021-05-25 12:50 |
Online |
Online |
Development of a Job Interview Training System with Multi-modal Behavior Analysis Nao Takeuchi, Tomoko Koda (OIT) HCS2021-10 HIP2021-10 |
This paper introduces a job interview training system that recognizes the nonverbal behaviors of the interviewee, namely... [more] |
HCS2021-10 HIP2021-10 pp.50-54 |
SeMI |
2021-01-21 14:10 |
Online |
Online |
[Poster Presentation]
A Simulation Study on WiFi Imaging for Object Identification Yukiho Morita, Yoshihiro Nakagawa (Osaka Univ.), Akira Uchiyama (Osaka Univ./JST PRESTO), Teruo Higashino (Osaka Univ.) SeMI2020-53 |
In recent years, sensing using WiFi signals (wireless sensing) has been attracting attention as maintenance-free behavio... [more] |
SeMI2020-53 pp.57-62 |
CQ, CBE (Joint) |
2021-01-21 16:00 |
Online |
Online |
[Poster Presentation]
In-home Behavior Observation System Using Thread Mesh Network Ryuichi Inoue, Hiroshi Yamamoto (Ritsumeikan Univ.) CQ2020-76 |
To realize a smart home that can effectively watch over residents and control energy consumption, the technology for rec... [more] |
CQ2020-76 pp.66-67 |
HIP |
2020-09-14 13:55 |
Online |
Online (Zoom) |
"Ambiguousness" perceived from the Noh Mask (face) and the Behaviors (body)
-- The field of Philosophy and The Face-Body Studies -- Yayoi Kotani (Shinshu Univ.) HIP2020-25 |
Noh mask has been attracting attention as a research target of facial expression recognition. In the previous studies, t... [more] |
HIP2020-25 pp.7-12 |
ET |
2020-01-25 11:20 |
Wakayama |
Wakayama JA Building |
Trial Class Aimed at Fostering Practical Teaching Ability at the Teacher Training Stage
-- Focusing on Quantitative Analysis of Teacher Behavior -- Takeshi Goto (Oji E.S.), Sho Ooi (Rits) ET2019-71 |
The aim of this study was to clarify the difference between teacher behaviors in the actual classes and the trial classe... [more] |
ET2019-71 pp.11-14 |
HCGSYMPO (2nd) |
2019-12-11 - 2019-12-13 |
Hiroshima |
Hiroshima-ken Joho Plaza (Hiroshima) |
Segmentation of Daily Living Space by Human Behavior and Object Placement Koki Nakaura, Koh Kakusho (KGU), Stoshi Nshiguchi (OIT), Masaaki Iiyama (Kyoto Univ.) |
Life support robots are expected to provide support according to human behavior patterns. It is necessary to have prior ... [more] |
|
HCS |
2019-10-26 |
Tokyo |
Nihon Univ. |
The sweet mind in prosocial behavior
-- From the perspective of priming effect by using the chocolate scent -- Uehara Yoriko (Kansai Univ.) HCS2019-51 |
In previous studies, the prosocial promoting effect of sweet scent has been confirmed. The purpose of this study was to ... [more] |
HCS2019-51 pp.65-70 |
ET |
2019-07-06 11:00 |
Iwate |
Iwate Prefectural University |
Quantitative Evaluation Method for Teacher Behavior based on Behavior Pattern of Expert Teachers and Beginner Teachers Shunyu Yao, Sho Ooi, Haruo Noma (Rits Univ.) ET2019-17 |
A new teacher needs to give tuition from the first day at work. The new teacher is difficult to train tuition in an actu... [more] |
ET2019-17 pp.11-16 |
PRMU, BioX |
2019-03-18 10:45 |
Tokyo |
|
ADL Recognition based on Movement Trajectory of Hand and Object Recognition using Deep Learning for Self-Support Hiroki Kojima (OIT), Sho Ooi (Rits), Mutsuo Sano (OIT) BioX2018-51 PRMU2018-155 |
In our laboratory, we have been studying cognitive rehabilitation for patients with acquired brain injury and dementia b... [more] |
BioX2018-51 PRMU2018-155 pp.131-136 |
ET |
2019-03-15 11:05 |
Tokushima |
Naruto University of Education |
A Study on Teacher Behavior Classification based on ST-GCN for Traial Lesson Support System Sho Ooi, Yao Shunyu, Haruo Noma (Rits) ET2018-97 |
A new teacher needs to give tuition from the first day at work. People who aim for the teacher can teach at teaching pra... [more] |
ET2018-97 pp.59-62 |
IN, NS (Joint) |
2019-03-05 15:20 |
Okinawa |
Okinawa Convention Center |
Unified Driving Skill Analysis of Curves with Different Radii and Interior Angles of Automobiles based on Deep Learning Takuya Kagawa, Naiwala P. Chandrasiri (Kogakuin Univ) IN2018-151 |
With the advancement of automobile technology and consumer motivation to buy automobiles, it is expected that self drivi... [more] |
IN2018-151 pp.403-408 |
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2019-02-19 09:45 |
Hokkaido |
Hokkaido Univ. |
Getting On and Off Judging System for Multiple People Corresponding to In/Out-Vehicle Safety for Automated Driving Last-Mile Mobility Shinichiro Kawabata (AIST/Tokyo Univ. of Science), Shin Kato (AIST) ITS2018-60 IE2018-81 |
AIST conducts research and development of a terminal transportation system using automatic driving technology and demons... [more] |
ITS2018-60 IE2018-81 pp.33-36 |