Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka |
Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Quantitative analysis of spontaneous mother-child interactions focusing on information Satoshi Morimoto, Yoko Hakuno (Keio Univ.), Kenji Suzuki (Univ. of Tsukuba), Yasuyo Minagawa (Keio Univ.) |
Parent-child interaction is important for the acquisition of social skills, and its mechanisms are not only of scientifi... [more] |
|
RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-15 10:30 |
Online |
Online |
Extraction of User Communication Behavior from DNS Query Logs by Non-Negative Tensor Factorization Approach Kotaro Hatanaka, Tatsuaki Kimura, Tetsuya Takine (Osaka Univ.) NS2021-43 |
Understanding user communication behavior by analyzing network logs has been playing an important role in security monit... [more] |
NS2021-43 pp.57-62 |
HCS |
2021-03-15 10:00 |
Online |
Online |
Predicting Smartphone Addiction Risks from Smartphone Usage Behavior in the COVID-19 Pandemic. Nao Kobayashi, Yuka Miyake, Yasuyuki Hatakawa (KDDI CORPORATION), Toshitaka Hamamura, Masaru Honjo (KDDI Research, Inc.), Taiki Oka, Toshinori Chiba (ATR) HCS2020-67 |
Amid the COVID-19 pandemic, people are becoming more and more dependent on smartphones.
As such dependence on smartphon... [more] |
HCS2020-67 pp.1-5 |
NC, MBE (Joint) |
2021-03-04 15:25 |
Online |
Online |
Examination of measurement method and feature of biometrics identification with eye movement Yudai Niitsu, Minoru Nakayama (Tokyo Tech) MBE2020-49 |
Biometric identification using eye movement has been attracting attention as a highly secure identification method with ... [more] |
MBE2020-49 pp.44-47 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2021-02-19 14:35 |
Online |
Online |
[Special Talk]
Store Channel Customer Segmentation using transaction data Yuji Sakagawa (Hokkaido Univ.) |
We attempted to identify market segments based on real and online stores in a specific area by latent class analysis. As... [more] |
|
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] |
|
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 |
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2019-02-20 16:00 |
Hokkaido |
Hokkaido Univ. |
[Invited Talk]
Anomaly Detection for Smart Home Based on User Behavior
-- ICCE2019 Report -- Masaaki Yamauchi, Yuichi Ohsita, Masayuki Murata (Osaka Univ.), Kensuke Ueda, Yoshiaki Kato (Mitsubishi Electric) |
The operations of home IoT devices by attackers can cause serious problems.
However, such attacks are difficult to dete... [more] |
|
IEE-CMN, EMM, LOIS, IE, ITE-ME [detail] |
2018-09-28 15:05 |
Oita |
Beppu Int'l Convention Ctr. aka B-CON Plaza |
A study of the potentiality to predict personality traits, BIG5, from driving behavior Yuichi Ishikawa, Akihiro Kobayashi, Minamikawa Atsunori (KDDI Research) LOIS2018-23 IE2018-43 EMM2018-62 |
This paper studies the potentiality to predict the personality traits, BIG5, from daily driving behavior. Having examine... [more] |
LOIS2018-23 IE2018-43 EMM2018-62 pp.89-94 |
NLP |
2018-04-27 14:10 |
Kumamoto |
Kumaoto Univ. |
Response properties of electrosensory fibers and movement behavior to sinusoidal electric stimulation in glass catfish Yu Adachi, Katsumi Tateno (Kyutech) NLP2018-22 |
Glass catfish have the ability to sense the electric fields. Their electroreceptors are sensitive to around 10 – 20 Hz o... [more] |
NLP2018-22 pp.107-110 |
IA, IN (Joint) |
2017-12-14 16:45 |
Hiroshima |
Hiroshima City Univ. |
Anomaly Detection for Smart Home IoT based on Users' Behavior Masaaki Yamauchi, Yuichi Ohsita, Masayuki Murata (Osaka Univ.), Kensuke Ueda, Yoshiaki Kato (Mitsubishi Electric) IN2017-58 |
Many devices such as air conditioners and refrigerator have become connected to the Internet, and become a target of the... [more] |
IN2017-58 pp.73-78 |
ICSS |
2017-11-20 15:15 |
Oita |
Beppu International Convention Center |
Preliminary Evaluation on the Program Classification at the Processor Level using Machine Learning Ryotaro Kobayashi (Kogakuin Univ.), Hayate Takase, Genki Otani, Ren Ohmura (Toyohashi Univ. of Tech.), Masahiko Kato (Univ. of Nagasaki) ICSS2017-39 |
As use of IoT devices becomes widespread, a lot of things are connected to the Internet, and the convenience of everyday... [more] |
ICSS2017-39 pp.5-10 |
PRMU, IE, MI, SIP |
2017-05-26 11:00 |
Aichi |
|
Interaction Analysis based on Non-Verbal Features Nuo Zhang, Tomotake Kozu (Tohmatsu) SIP2017-22 IE2017-22 PRMU2017-22 MI2017-22 |
Communication between humans, including words, facial expressions, gestures and postures, is a very complicated process.... [more] |
SIP2017-22 IE2017-22 PRMU2017-22 MI2017-22 pp.113-117 |
TL |
2017-03-21 13:00 |
Aichi |
Nagoya International Centter |
Model Analysis of Human Decision Making Process with Intention Inference in Cooperative Pattern Task Kota Itoda (Keio Univ.), Norifumi Watanabe (AIIT), Yoshiyasu Takefuji (Keio Univ.) TL2016-68 |
Realising flexible group cooperative behaviours are supported by top-down
intention share and bottom-up decision making... [more] |
TL2016-68 pp.19-24 |
PRMU, BioX |
2017-03-20 13:00 |
Aichi |
|
[Invited Talk]
Monitoring Technology of Elderly Living Alone
-- Nursing Science and Engineering & Sensor-Based Medical Information Engineering -- Taketoshi Mori (The Univ. of Tokyo) BioX2016-41 PRMU2016-204 |
The proportion of elderly people in Japan is currently around 25%, but this is expected to be around 40% as the populati... [more] |
BioX2016-41 PRMU2016-204 pp.47-50 |
HCGSYMPO (2nd) |
2016-12-07 - 2016-12-09 |
Kochi |
Kochi City Culture Plaza (CUL-PORT) |
Meeting Extracts for Discussion Summarization based on Multimodal Nonverbal Information Fumio Nihei, Yukiko Nakano, Yutaka Takase (Seikei Univ.) |
Group discussions are used for various purposes. It is desirable to archive the results and processes of the discussion ... [more] |
|
MRIS, ITE-MMS |
2016-06-09 14:15 |
Miyagi |
Tohoku Univ. |
Magnetization switching behavior in single epitaxial Co/Pt multilayer dot Bin Lao, Satoshi Okamoto, Nobuaki Kikuchi, Osamu Kitakami (Tohoku Univ.) MR2016-4 |
Magnetization switching behavior in single dots of an epitaxially grown Co/Pt multilayer with various dot diameters rang... [more] |
MR2016-4 pp.17-20 |
PRMU, IE, MI, SIP |
2016-05-19 15:40 |
Aichi |
|
Heat map visualization of multi-slice medical images through correspondence matching of video frames Divesh Lala, Atsushi Nakazawa (Kyoto Univ.) SIP2016-9 IE2016-9 PRMU2016-9 MI2016-9 |
Diagnosis by radiographers through examination of multi-slice medical image data is common, but the process which expert... [more] |
SIP2016-9 IE2016-9 PRMU2016-9 MI2016-9 pp.43-48 |
MSS |
2016-03-04 09:10 |
Yamaguchi |
KAIKYO MESSE SHIMONOSEKI |
On Behavioral Analysis of Nursing and Caregiving Services Using Switched Linear Regression Models Koichi Kobayashi (Hokkaido Univ.), Kunihiko Hiraishi, Sunseong Choe, Naoshi Uchihira (JAIST) MSS2015-78 |
In order to improve quality of nursing and caregiving services, it is important to analyze behavior of service providers... [more] |
MSS2015-78 pp.57-60 |
PRMU, CNR |
2016-02-21 13:00 |
Fukuoka |
|
Learning and recognizing behavior patterns based on comprehensive movement of people in similar multiple environments Hiroaki Iwabuchi, Shigeki Aoki, Takao Miyamoto (Osaka Prefecture Univ.) PRMU2015-136 CNR2015-37 |
Recently,automatic video surveillance systems have become an active area of research.There are detecting irregular behav... [more] |
PRMU2015-136 CNR2015-37 pp.25-30 |